examples/tutorials/CDC.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Health and Lifestyle Survey Questions Tutorial\n",
    "\n",
    "In this tutorial, we showcase how the ProtoDash explainer algorithm from [AIX360](https://github.com/IBM/AIX360) toolkit implemented through the _ProtodashExplainer_ class could be used to summarize the National Health and Nutrition Examination Survey (NHANES) datasets ([Study 1](#study1)) available through the Center for Disease Control and Prevention (CDC). Moreover, we also show how the algorithm could be used to distill out interesting relationships between different facets of life (viz. early childhood and income) which were found by scientists ([Study 2](#study2)) through decades of rigorous experimentation. This study shows that using ProtoDash one can potentially uncover such insights cheaply, which could then be reaffirmed through rigorous experimentation.\n",
    "\n",
    "The above studies are important since data from this survey is typically used in epidemiological studies and in health science research, which help develop public health policy, direct and design health programs and services, and expand the health knowledge for the Nation. Thus, the impact of understanding these datasets for a social scientist are far reaching along with understanding the relationships that may exist between them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name=\"intro\"></a>\n",
    "## Introduction to Center for Disease Control and Prevention (CDC) datasets\n",
    "\n",
    "The [NHANES CDC questionnaire datasets](https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Questionnaire&CycleBeginYear=2013) are surveys conducted by the organization involving thousands of civilians about various facets of their daily lives. There are 44 questionnaires that collect data about income, occupation, health, early childhood and many other behavioral and lifestyle aspects of individuals living in the US. These questionnaires are thus a rich source of information indicative of the quality of life of many civilians. \n",
    "\n",
    "This tutorial presents two studies. We first see how a CDC questionaire answered by thousands of individuals could be summarized by looking at answers given by a few prototypical users. Next, an interesting endeavor is to uncover relationships between different aspects of life by analyzing data across the different CDC questionnaires. In the second study, we do exactly that with the help of the Protodash explainer algorithm. We show how the algorithm is able to uncover an interesting [insight](https://www.theatlantic.com/business/archive/2016/07/social-mobility-america/491240/) known only through decades of experimentation, solely from the questionnaire datasets. This by no means suggests the method as a substitute for rigorous experimentation, but showcases it as an avenue for obtaining interesting insights at low cost, which could inspire further indepth studies. The manner in which this is accomplished is by finding prototypical individuals for each of the questionnaires and then evaluating how well they represent the income questionnaire (w.r.t. the method's objective function). The more representative these prototypes are, the more that questionnaire is indicative/representative of income. \n",
    "\n",
    "For this use case, we are selecting prototypes from specific questionnaires and hence the group we want to explain is the dataset itself, which in this case are the questionnaires. In fact, there is no AI model that we are training but we are rather trying to summarize each questionnaire which was filled by thousands of people based on selecting a few representative individuals for each of them.\n",
    "\n",
    "\n",
    "The rest of the tutorial is organized as follows: <br>\n",
    "[Explore Income questionaire](#explore)<br>\n",
    "[Study 1: Summarize Income Questionnaire using Prototypes](#study1)<br>\n",
    "[Study 2: Find Questionnaire/s most representative of Income](#study2)<br>\n",
    "\n",
    "\n",
    "###### [ProtoDash: Fast Interpretable Prototype Selection](https://arxiv.org/abs/1707.01212)\n",
    "\n",
    "We now provide a brief overview of the method. The method takes as input a datapoint (or group of datapoints) that we want to explain with respect to instances in a training set belonging to the same feature space. The method then tries to minimize the maximum mean discrepancy (MMD metric) between the datapoints we want to explain and a prespecified number of instances from the training set that it will select. In other words, it will try to select training instances that have the same distribution as the datapoints we want to explain. The method does greedy selection and has quality guarantees with it also returning importance weights for the chosen prototypical training instances indicative of how similar/representative they are. \n",
    "\n",
    "\n",
    "###### Why Protodash?\n",
    "\n",
    "Before we showcase the two studies we provide some motivation for using this method. The method is able to select in a deterministic fashion examples from a dataset which we term as prototypes that represent the different segments in a dataset. For example, if we take people that answered the income questionnaire we might find that there are three categories of people: i) those that are high earners, ii) those that are middle class and iii) those that dont earn much or are unemployed and receive unemployment benefits. Protodash would be able to find these segments by pointing to specific individuals that lie in these categories. Looking at the objective function value of protodash one would also be able to say that three segments is the right number here as adding one more segment may not improve the objective value by much.\n",
    "\n",
    "Compared with other methods such as k-medoids it has the advantage that it is deterministic and does not have randomizations as in say k-medoids clustering where the centers a typically randomly initialized. So the solutions are repeatable and it picks prototypes that are representative as well as diverse, which may not be the case with standard distance metrics such as euclidean distance. Diversity is important in practical settings (viz. income example above) where we want to capture all the different segments/modes in the dataset, not missing any of the key behaviors.\n",
    "\n",
    "Another benefit of the method is that since it performs distribution matching between the user/users in question and those available in the training set it could in principle be applied also in non-iid settings such as for time series data. Other approaches which find similar profiles using standard distance measures (viz. euclidean, cosine) do not have this property. Additionally, we can also highlight important features for the different prototypes that made them similar to the user/users in question."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import Statements\n",
    "\n",
    "Import relevant libraries, datasets and Protodash explainer algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "from aix360.algorithms.protodash import ProtodashExplainer\n",
    "from aix360.datasets.cdc_dataset import CDCDataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load CDC dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "nhanes = CDCDataset()\n",
    "nhanes_files = nhanes.get_csv_file_names()\n",
    "(nhanesinfo, _, _) = nhanes._cdc_files_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name=\"explore\"></a>\n",
    "## Explore Income questionnaire\n",
    "\n",
    "Now let us explore the income questionnaire dataset and find out the types of responses received in the survey. Each column in the dataset corresponds to a question and each row denotes the answers given by a respondent to those questions. Both column names and answers by respondents are encoded. For example, 'SEQN' denotes the sequence number assigned to a respondent and 'IND235' corresponds to a question about monthly family income. As seen below, in most cases a value of 1 implies \"Yes\" to the question, while a value of 2 implies \"No\". More details about the income questionaire and how questions and answers are encoded can be seen [here](https://wwwn.cdc.gov/Nchs/Nhanes/2013-2014/INQ_H.htm)\n",
    "\n",
    "|Column  |Description                    | Values and Meaning|\n",
    "|-------|----------------------------|---------|\n",
    "|SEQN   | Respondent sequence number |\n",
    "|INQ020 | Income from wages/salaries |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ012 | Income from self employment|1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ030 | Income from Social Security or RR |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ060 | Income from other disability pension |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ080 | Income from retirement/survivor pension |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ090 | Income from Supplemental Security Income |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ132 | Income from state/county cash assistance |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ140 | Income from interest/dividends or rental |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|INQ150 | Income from other sources |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|IND235 | Monthly family income |1-12->Increasing income brackets, 77->Refused, 99->Don't know|\n",
    "|INDFMMPI | Family monthly poverty level index |0-5->Higher value more affluent|\n",
    "|INDFMMPC | Family monthly poverty level category |1-3->Increasing INDFMMPI brackets, 7->Refused, 9->Don't know|\n",
    "|INQ244 | Family has savings more than $5000 |1->Yes, 2->No, 7->Refused, 9->Don't know|\n",
    "|IND247 | Total savings/cash assets for the family |1-6->Increasing savings brackets, 77->Refused, 99->Don't know|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Answers given by some respondents to the income questionnaire:\n"
     ]
    },
    {
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       "      <th>0</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Respondent sequence number</th>\n",
       "      <td>73557.00</td>\n",
       "      <td>73558.00</td>\n",
       "      <td>73559.00</td>\n",
       "      <td>73560.00</td>\n",
       "      <td>73561.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from wages/salaries</th>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from self employment</th>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from Social Security or RR</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from other disability pension</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from retirement/survivor pension</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from Supplemental Security Income</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from state/county cash assistance</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from interest/dividends or rental</th>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from other sources</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monthly family income</th>\n",
       "      <td>4.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family monthly poverty level index</th>\n",
       "      <td>0.86</td>\n",
       "      <td>0.92</td>\n",
       "      <td>4.37</td>\n",
       "      <td>2.52</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family monthly poverty level category</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family has savings more than $5000</th>\n",
       "      <td>9.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total savings/cash assets for the family</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "                                                 0         1         2  \\\n",
       "Respondent sequence number                73557.00  73558.00  73559.00   \n",
       "Income from wages/salaries                    2.00      1.00      2.00   \n",
       "Income from self employment                   2.00      1.00      2.00   \n",
       "Income from Social Security or RR             1.00      1.00      1.00   \n",
       "Income from other disability pension          2.00      2.00      2.00   \n",
       "Income from retirement/survivor pension       2.00      2.00      1.00   \n",
       "Income from Supplemental Security Income      2.00      2.00      2.00   \n",
       "Income from state/county cash assistance      2.00      2.00      2.00   \n",
       "Income from interest/dividends or rental      2.00      1.00      1.00   \n",
       "Income from other sources                     2.00      2.00      2.00   \n",
       "Monthly family income                         4.00      5.00     10.00   \n",
       "Family monthly poverty level index            0.86      0.92      4.37   \n",
       "Family monthly poverty level category         1.00      1.00      3.00   \n",
       "Family has savings more than $5000            9.00      1.00       NaN   \n",
       "Total savings/cash assets for the family       NaN       NaN       NaN   \n",
       "\n",
       "                                                 3        4  \n",
       "Respondent sequence number                73560.00  73561.0  \n",
       "Income from wages/salaries                    1.00      2.0  \n",
       "Income from self employment                   2.00      2.0  \n",
       "Income from Social Security or RR             2.00      1.0  \n",
       "Income from other disability pension          2.00      2.0  \n",
       "Income from retirement/survivor pension       2.00      2.0  \n",
       "Income from Supplemental Security Income      2.00      2.0  \n",
       "Income from state/county cash assistance      2.00      2.0  \n",
       "Income from interest/dividends or rental      2.00      2.0  \n",
       "Income from other sources                     1.00      2.0  \n",
       "Monthly family income                         9.00     11.0  \n",
       "Family monthly poverty level index            2.52      5.0  \n",
       "Family monthly poverty level category         3.00      3.0  \n",
       "Family has savings more than $5000             NaN      NaN  \n",
       "Total savings/cash assets for the family       NaN      NaN  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# replace encoded column names by the associated question text. \n",
    "df_inc = nhanes.get_csv_file('INQ_H.csv')\n",
    "df_inc.columns[0]\n",
    "dict_inc = {\n",
    "'SEQN': 'Respondent sequence number', \n",
    "'INQ020': 'Income from wages/salaries',\n",
    "'INQ012': 'Income from self employment',\n",
    "'INQ030':'Income from Social Security or RR',\n",
    "'INQ060':  'Income from other disability pension', \n",
    "'INQ080':  'Income from retirement/survivor pension',\n",
    "'INQ090':  'Income from Supplemental Security Income',\n",
    "'INQ132':  'Income from state/county cash assistance', \n",
    "'INQ140':  'Income from interest/dividends or rental', \n",
    "'INQ150':  'Income from other sources',\n",
    "'IND235':  'Monthly family income',\n",
    "'INDFMMPI':  'Family monthly poverty level index', \n",
    "'INDFMMPC':  'Family monthly poverty level category',\n",
    "'INQ244':  'Family has savings more than $5000',\n",
    "'IND247':  'Total savings/cash assets for the family'\n",
    "}\n",
    "qlist = []\n",
    "for i in range(len(df_inc.columns)):\n",
    "    qlist.append(dict_inc[df_inc.columns[i]])\n",
    "df_inc.columns = qlist\n",
    "print(\"Answers given by some respondents to the income questionnaire:\")\n",
    "df_inc.head(5).transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now to get more of a feel for the dataset let us look at the distribution of responses for two questions related to family financial status."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of respondents to Income questionnaire: 10175\n",
      "Distribution of answers to 'monthly family income' and 'Family savings' questions:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Number of respondents to Income questionnaire:\", df_inc.shape[0])\n",
    "print(\"Distribution of answers to \\'monthly family income\\' and \\'Family savings\\' questions:\")\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(10,5))\n",
    "fig.subplots_adjust(wspace=0.5)\n",
    "hist1 = df_inc['Monthly family income'].value_counts().plot(kind='bar', ax=axes[0])\n",
    "hist2 = df_inc['Family has savings more than $5000'].value_counts().plot(kind='bar', ax=axes[1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name=\"Dplot\"></a>\n",
    "Observe that majority of the individuals have responded by a \"12\" to the question related to monthly family income, which means their income is above USD 8400 as explained [here](https://wwwn.cdc.gov/Nchs/Nhanes/2013-2014/INQ_H.htm#IND235). Similarly, to the question if the family has savings more than USD 5000, majority of the individuals have responded by a \"2\", which means \"No\". "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name=\"study1\"></a>\n",
    "## Study 1: Summarize Income Questionnaire using Prototypes\n",
    "\n",
    "We just explored the income dataset and looked at the distribution of answers for a couple of questions. Now, consider a social scientist who would like to quickly obtain a summary report of this dataset in terms of types of people that span this dataset. Is it possible to summarize this dataset by looking at answers given by a few representative/prototypical respondents? \n",
    "\n",
    "We now show how the Protodash algorithm can be used to obtain a few prototypical respondents (about 10 in this example) that span the diverse set of individuals answering the income questionnaire making it easy for the social scientist to summarize the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  3.9668e+01 -4.7629e+05  9e+01  1e+00  1e+00\n",
      " 2:  3.1760e+00 -2.0407e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.2364e+01 -1.2096e+08  2e+04  1e+00  1e+00\n",
      " 4:  3.7900e+01 -2.8195e+11  8e+07  1e+00  1e+00\n",
      " 5:  4.5923e+05 -3.1803e+18  3e+18  5e-13  6e-03\n",
      " 6:  4.5923e+05 -3.1803e+16  3e+16  5e-15  1e-03\n",
      " 7:  4.5923e+05 -3.1803e+14  3e+14  2e-16  4e-05\n",
      " 8:  4.5923e+05 -3.1803e+12  3e+12  3e-17  5e-07\n",
      " 9:  4.5919e+05 -3.1804e+10  3e+10  9e-17  5e-09\n",
      "10:  4.5530e+05 -3.1930e+08  3e+08  1e-16  4e-11\n",
      "11:  2.5225e+05 -3.8443e+06  4e+06  2e-16  5e-13\n",
      "12:  3.9004e+04 -7.9611e+04  1e+05  2e-16  6e-14\n",
      "13:  5.5412e+03 -6.2407e+03  1e+04  3e-16  1e-14\n",
      "14:  7.6180e+02 -9.4756e+02  2e+03  2e-16  1e-14\n",
      "15:  9.5649e+01 -1.4835e+02  2e+02  1e-16  2e-15\n",
      "16:  7.4120e+00 -2.6974e+01  3e+01  8e-17  0e+00\n",
      "17: -2.7382e+00 -7.1060e+00  4e+00  6e-17  1e-16\n",
      "18: -3.7687e+00 -4.4831e+00  7e-01  6e-17  2e-17\n",
      "19: -3.8264e+00 -3.8637e+00  4e-02  1e-16  6e-17\n",
      "20: -3.8268e+00 -3.8272e+00  4e-04  3e-16  4e-17\n",
      "21: -3.8268e+00 -3.8268e+00  4e-06  3e-17  1e-16\n",
      "22: -3.8268e+00 -3.8268e+00  4e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  6.0751e+01 -8.5638e+05  2e+02  1e+00  1e+00\n",
      " 2:  2.1167e+00 -3.4967e+06  8e+02  1e+00  1e+00\n",
      " 3:  3.8908e+00 -1.0796e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.6949e+00 -5.5972e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.5683e+00 -1.2098e+09  2e+05  1e+00  1e+00\n",
      " 6:  3.5536e+00 -6.2578e+11  1e+08  1e+00  1e+00\n",
      " 7:  1.3153e+09 -1.2640e+19  1e+19  4e-13  2e-02\n",
      " 8:  1.3153e+09 -1.2640e+17  1e+17  4e-15  5e-03\n",
      " 9:  1.3153e+09 -1.2640e+15  1e+15  2e-16  2e-04\n",
      "10:  1.3153e+09 -1.2642e+13  1e+13  2e-16  9e-07\n",
      "11:  1.3150e+09 -1.2865e+11  1e+11  2e-16  1e-08\n",
      "12:  1.2843e+09 -3.4720e+09  5e+09  9e-17  3e-07\n",
      "13:  1.9046e+08 -1.5375e+09  2e+09  8e-17  2e-08\n",
      "14:  5.7362e+07 -8.6782e+07  1e+08  1e-16  1e-09\n",
      "15:  8.4664e+06 -9.4546e+06  2e+07  7e-17  1e-12\n",
      "16:  1.2184e+06 -1.3696e+06  3e+06  5e-17  3e-13\n",
      "17:  1.7441e+05 -1.9431e+05  4e+05  2e-16  1e-13\n",
      "18:  2.4823e+04 -2.7964e+04  5e+04  3e-16  7e-14\n",
      "19:  3.4862e+03 -4.0738e+03  8e+03  2e-16  2e-14\n",
      "20:  4.7129e+02 -6.1124e+02  1e+03  2e-16  8e-15\n",
      "21:  5.5606e+01 -9.8898e+01  2e+02  3e-16  7e-16\n",
      "22:  2.1525e+00 -1.9389e+01  2e+01  2e-16  9e-16\n",
      "23: -3.4411e+00 -5.9840e+00  3e+00  6e-17  2e-16\n",
      "24: -3.9122e+00 -4.2332e+00  3e-01  1e-16  8e-17\n",
      "25: -3.9407e+00 -3.9562e+00  2e-02  2e-16  1e-16\n",
      "26: -3.9410e+00 -3.9412e+00  2e-04  1e-16  7e-17\n",
      "27: -3.9410e+00 -3.9410e+00  2e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  7.4328e+01 -1.2314e+06  2e+02  1e+00  1e+00\n",
      " 2:  7.4441e+01 -2.0795e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.0860e+00 -3.4170e+07  7e+03  1e+00  1e+00\n",
      " 4:  1.0372e+01 -4.2071e+08  8e+04  1e+00  1e+00\n",
      " 5:  2.5302e+01 -7.9685e+10  2e+07  1e+00  1e+00\n",
      " 6:  9.1590e+08 -1.8212e+18  2e+18  6e-13  9e-04\n",
      " 7:  9.1590e+08 -1.8212e+16  2e+16  6e-15  5e-04\n",
      " 8:  9.1590e+08 -1.8212e+14  2e+14  1e-16  1e-05\n",
      " 9:  9.1589e+08 -1.8261e+12  2e+12  4e-17  1e-07\n",
      "10:  9.1407e+08 -2.3159e+10  2e+10  2e-16  2e-09\n",
      "11:  8.1327e+08 -4.7256e+09  6e+09  2e-16  3e-09\n",
      "12:  1.1597e+08 -5.1501e+09  5e+09  8e-17  2e-09\n",
      "13:  4.9799e+07 -2.2036e+08  3e+08  3e-16  9e-11\n",
      "14:  8.0295e+06 -1.0899e+07  2e+07  2e-16  3e-12\n",
      "15:  1.1514e+06 -1.2677e+06  2e+06  1e-16  3e-13\n",
      "16:  1.6479e+05 -1.8397e+05  3e+05  2e-16  7e-14\n",
      "17:  2.3438e+04 -2.6436e+04  5e+04  3e-16  2e-14\n",
      "18:  3.2866e+03 -3.8575e+03  7e+03  1e-16  1e-14\n",
      "19:  4.4218e+02 -5.8075e+02  1e+03  2e-16  5e-15\n",
      "20:  5.1163e+01 -9.4774e+01  1e+02  1e-16  2e-15\n",
      "21:  1.3192e+00 -1.8967e+01  2e+01  2e-16  7e-16\n",
      "22: -3.7193e+00 -6.0761e+00  2e+00  2e-16  1e-16\n",
      "23: -3.9969e+00 -4.2884e+00  3e-01  9e-17  1e-16\n",
      "24: -4.0148e+00 -4.0273e+00  1e-02  2e-16  2e-16\n",
      "25: -4.0150e+00 -4.0151e+00  2e-04  1e-16  1e-16\n",
      "26: -4.0150e+00 -4.0150e+00  2e-06  9e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.2641e+01 -1.5517e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0048e+02 -2.6299e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.2702e+01 -1.1726e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.1243e+01 -7.9666e+07  2e+04  1e+00  1e+00\n",
      " 5:  6.3374e+01 -8.3514e+09  2e+06  1e+00  1e+00\n",
      " 6:  4.1550e+08 -1.9875e+17  2e+17  4e-13  1e-04\n",
      " 7:  4.1550e+08 -1.9875e+15  2e+15  4e-15  7e-05\n",
      " 8:  4.1550e+08 -1.9879e+13  2e+13  4e-16  2e-06\n",
      " 9:  4.1537e+08 -2.0297e+11  2e+11  2e-16  2e-08\n",
      "10:  4.0286e+08 -6.0761e+09  6e+09  1e-16  7e-10\n",
      "11:  9.2939e+07 -7.3327e+08  8e+08  2e-16  2e-10\n",
      "12:  2.0691e+07 -4.1222e+07  6e+07  2e-16  8e-12\n",
      "13:  3.0021e+06 -3.2465e+06  6e+06  1e-16  5e-13\n",
      "14:  4.3102e+05 -4.8469e+05  9e+05  1e-16  2e-13\n",
      "15:  6.1523e+04 -6.8892e+04  1e+05  2e-16  1e-13\n",
      "16:  8.7028e+03 -9.9729e+03  2e+04  1e-16  5e-14\n",
      "17:  1.2017e+03 -1.4729e+03  3e+03  6e-17  9e-15\n",
      "18:  1.5364e+02 -2.2892e+02  4e+02  2e-16  3e-15\n",
      "19:  1.3653e+01 -4.0529e+01  5e+01  2e-16  1e-15\n",
      "20: -2.7033e+00 -9.8618e+00  7e+00  2e-16  3e-16\n",
      "21: -3.9602e+00 -4.7535e+00  8e-01  2e-16  2e-16\n",
      "22: -4.0450e+00 -4.1201e+00  8e-02  2e-16  2e-16\n",
      "23: -4.0457e+00 -4.0466e+00  9e-04  1e-16  7e-17\n",
      "24: -4.0457e+00 -4.0457e+00  9e-06  3e-16  1e-16\n",
      "25: -4.0457e+00 -4.0457e+00  9e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.4570e+01 -1.8587e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.4921e+02 -3.0856e+06  6e+02  1e+00  1e+00\n",
      " 3:  3.2180e+01 -1.3043e+07  3e+03  1e+00  1e+00\n",
      " 4:  6.9242e+01 -5.7262e+07  1e+04  1e+00  1e+00\n",
      " 5:  8.6398e+01 -2.2766e+09  5e+05  1e+00  1e+00\n",
      " 6:  4.6824e+01 -2.8147e+13  2e+10  1e+00  1e+00\n",
      " 7:  4.1275e+08 -5.6089e+19  6e+19  1e-13  3e-02\n",
      " 8:  4.1275e+08 -5.6089e+17  6e+17  8e-16  1e-02\n",
      " 9:  4.1275e+08 -5.6089e+15  6e+15  1e-16  2e-04\n",
      "10:  4.1275e+08 -5.6094e+13  6e+13  2e-16  3e-06\n",
      "11:  4.1268e+08 -5.6545e+11  6e+11  3e-16  3e-08\n",
      "12:  4.0609e+08 -1.0099e+10  1e+10  2e-16  7e-10\n",
      "13:  1.8116e+08 -1.4110e+09  2e+09  1e-16  9e-10\n",
      "14:  3.1446e+07 -5.8401e+07  9e+07  1e-16  4e-12\n",
      "15:  4.7302e+06 -5.3611e+06  1e+07  1e-16  7e-13\n",
      "16:  6.7942e+05 -7.6196e+05  1e+06  8e-17  2e-13\n",
      "17:  9.7114e+04 -1.0851e+05  2e+05  3e-16  5e-14\n",
      "18:  1.3781e+04 -1.5652e+04  3e+04  1e-16  5e-14\n",
      "19:  1.9198e+03 -2.2954e+03  4e+03  2e-16  9e-15\n",
      "20:  2.5294e+02 -3.5035e+02  6e+02  2e-16  3e-15\n",
      "21:  2.6572e+01 -5.9244e+01  9e+01  1e-16  2e-15\n",
      "22: -1.2555e+00 -1.2944e+01  1e+01  7e-17  4e-16\n",
      "23: -3.7496e+00 -5.4223e+00  2e+00  1e-16  2e-16\n",
      "24: -4.0667e+00 -4.5012e+00  4e-01  2e-16  2e-16\n",
      "25: -4.0819e+00 -4.1027e+00  2e-02  1e-16  2e-16\n",
      "26: -4.0821e+00 -4.0823e+00  2e-04  9e-17  1e-16\n",
      "27: -4.0821e+00 -4.0821e+00  2e-06  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.7825e+01 -2.2247e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.8441e+02 -3.8098e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.5973e+02 -8.5687e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.7838e+01 -2.1791e+08  4e+04  1e+00  1e+00\n",
      " 5:  6.0455e+01 -6.3242e+09  1e+06  1e+00  1e+00\n",
      " 6:  6.3873e+01 -1.5695e+13  5e+09  1e+00  1e+00\n",
      " 7:  1.0155e+09 -1.6922e+20  2e+20  2e-13  4e-02\n",
      " 8:  1.0155e+09 -1.6922e+18  2e+18  2e-15  6e-02\n",
      " 9:  1.0155e+09 -1.6922e+16  2e+16  2e-16  4e-04\n",
      "10:  1.0155e+09 -1.6924e+14  2e+14  2e-16  6e-06\n",
      "11:  1.0155e+09 -1.7046e+12  2e+12  2e-16  6e-08\n",
      "12:  1.0115e+09 -2.9294e+10  3e+10  2e-16  9e-10\n",
      "13:  8.6923e+08 -9.7335e+09  1e+10  3e-16  5e-09\n",
      "14:  2.5628e+08 -6.0824e+09  6e+09  3e-16  2e-09\n",
      "15:  8.3686e+07 -2.1572e+08  3e+08  2e-16  6e-11\n",
      "16:  1.2790e+07 -1.4451e+07  3e+07  2e-16  1e-12\n",
      "17:  1.8366e+06 -2.0483e+06  4e+06  2e-16  3e-13\n",
      "18:  2.6285e+05 -2.9209e+05  6e+05  1e-16  1e-13\n",
      "19:  3.7442e+04 -4.2017e+04  8e+04  3e-16  4e-14\n",
      "20:  5.2741e+03 -6.1079e+03  1e+04  2e-16  2e-14\n",
      "21:  7.1969e+02 -9.1048e+02  2e+03  1e-16  7e-15\n",
      "22:  8.8170e+01 -1.4478e+02  2e+02  2e-16  3e-15\n",
      "23:  5.6093e+00 -2.7141e+01  3e+01  2e-16  1e-15\n",
      "24: -3.4117e+00 -7.5215e+00  4e+00  2e-16  4e-16\n",
      "25: -3.9738e+00 -4.7410e+00  8e-01  1e-16  1e-16\n",
      "26: -4.0912e+00 -4.3263e+00  2e-01  2e-16  6e-17\n",
      "27: -4.0967e+00 -4.1021e+00  5e-03  2e-16  2e-16\n",
      "28: -4.0967e+00 -4.0968e+00  6e-05  2e-16  1e-16\n",
      "29: -4.0967e+00 -4.0967e+00  6e-07  1e-16  7e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.2714e+01 -2.5967e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.2268e+02 -4.6524e+06  9e+02  1e+00  1e+00\n",
      " 3:  2.0020e+02 -8.8808e+06  2e+03  1e+00  1e+00\n",
      " 4:  7.0492e+01 -5.7775e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.3244e+02 -7.4658e+08  2e+05  1e+00  1e+00\n",
      " 6:  1.5210e+02 -4.0931e+11  9e+07  1e+00  1e+00\n",
      " 7:  7.7582e+08 -8.2049e+18  8e+18  5e-13  2e-03\n",
      " 8:  7.7582e+08 -8.2049e+16  8e+16  5e-15  1e-03\n",
      " 9:  7.7582e+08 -8.2051e+14  8e+14  2e-16  3e-05\n",
      "10:  7.7581e+08 -8.2207e+12  8e+12  2e-16  4e-07\n",
      "11:  7.7478e+08 -9.7860e+10  1e+11  2e-16  5e-09\n",
      "12:  7.0303e+08 -1.4965e+10  2e+10  1e-16  7e-10\n",
      "13:  2.0381e+08 -9.8474e+09  1e+10  2e-16  3e-10\n",
      "14:  8.2855e+07 -2.7731e+08  4e+08  2e-16  1e-11\n",
      "15:  1.3061e+07 -1.5647e+07  3e+07  3e-16  2e-12\n",
      "16:  1.8737e+06 -2.0712e+06  4e+06  2e-16  5e-13\n",
      "17:  2.6814e+05 -2.9803e+05  6e+05  2e-16  1e-13\n",
      "18:  3.8192e+04 -4.2849e+04  8e+04  2e-16  6e-14\n",
      "19:  5.3795e+03 -6.2302e+03  1e+04  1e-16  3e-14\n",
      "20:  7.3397e+02 -9.2882e+02  2e+03  1e-16  4e-15\n",
      "21:  8.9893e+01 -1.4772e+02  2e+02  2e-16  2e-15\n",
      "22:  5.7120e+00 -2.7700e+01  3e+01  1e-16  1e-15\n",
      "23: -3.4701e+00 -7.6691e+00  4e+00  2e-16  3e-16\n",
      "24: -4.0143e+00 -4.7901e+00  8e-01  2e-16  9e-17\n",
      "25: -4.1051e+00 -4.4775e+00  4e-01  2e-16  1e-16\n",
      "26: -4.1122e+00 -4.1317e+00  2e-02  2e-16  1e-16\n",
      "27: -4.1123e+00 -4.1125e+00  2e-04  1e-16  6e-17\n",
      "28: -4.1123e+00 -4.1123e+00  2e-06  3e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.7205e+01 -3.0140e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.6361e+02 -5.6333e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.8257e+02 -9.5981e+06  2e+03  1e+00  1e+00\n",
      " 4:  9.0415e+01 -3.9255e+07  8e+03  1e+00  1e+00\n",
      " 5:  1.8815e+02 -3.1673e+08  6e+04  1e+00  1e+00\n",
      " 6:  1.9863e+02 -1.0198e+11  2e+07  1e+00  1e+00\n",
      " 7:  9.0570e+08 -2.2295e+18  2e+18  6e-13  8e-04\n",
      " 8:  9.0570e+08 -2.2295e+16  2e+16  6e-15  3e-04\n",
      " 9:  9.0570e+08 -2.2297e+14  2e+14  1e-16  5e-06\n",
      "10:  9.0564e+08 -2.2477e+12  2e+12  1e-16  8e-08\n",
      "11:  8.9946e+08 -4.0396e+10  4e+10  3e-16  1e-09\n",
      "12:  6.7081e+08 -1.0301e+10  1e+10  2e-16  5e-10\n",
      "13:  1.9188e+08 -1.5188e+09  2e+09  2e-16  8e-12\n",
      "14:  3.7009e+07 -5.7807e+07  9e+07  2e-16  1e-12\n",
      "15:  5.3302e+06 -5.7183e+06  1e+07  2e-16  9e-13\n",
      "16:  7.6421e+05 -8.5124e+05  2e+06  2e-16  3e-13\n",
      "17:  1.0914e+05 -1.2153e+05  2e+05  2e-16  1e-13\n",
      "18:  1.5483e+04 -1.7565e+04  3e+04  2e-16  4e-14\n",
      "19:  2.1571e+03 -2.5772e+03  5e+03  2e-16  1e-14\n",
      "20:  2.8443e+02 -3.9329e+02  7e+02  2e-16  4e-15\n",
      "21:  3.0051e+01 -6.6409e+01  1e+02  1e-16  2e-15\n",
      "22: -1.2310e+00 -1.4418e+01  1e+01  3e-16  5e-16\n",
      "23: -4.0230e+00 -5.3925e+00  1e+00  1e-16  1e-16\n",
      "24: -4.1164e+00 -4.2053e+00  9e-02  2e-16  1e-16\n",
      "25: -4.1207e+00 -4.1247e+00  4e-03  2e-16  8e-17\n",
      "26: -4.1208e+00 -4.1208e+00  4e-05  9e-17  6e-17\n",
      "27: -4.1208e+00 -4.1208e+00  4e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.0225e+02 -3.4451e+06  5e+02  1e+00  1e+00\n",
      " 2:  3.0804e+02 -6.7243e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.5286e+02 -1.0601e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.2792e+01 -5.8260e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.3354e+02 -3.5394e+08  7e+04  1e+00  1e+00\n",
      " 6:  2.5326e+02 -2.5191e+10  5e+06  1e+00  1e+00\n",
      " 7:  1.1744e+09 -6.0706e+17  6e+17  5e-13  2e-04\n",
      " 8:  1.1744e+09 -6.0706e+15  6e+15  5e-15  7e-05\n",
      " 9:  1.1744e+09 -6.0723e+13  6e+13  2e-16  1e-06\n",
      "10:  1.1740e+09 -6.2356e+11  6e+11  1e-16  2e-08\n",
      "11:  1.1314e+09 -2.2217e+10  2e+10  2e-16  7e-10\n",
      "12:  4.6121e+08 -5.8629e+09  6e+09  2e-16  4e-09\n",
      "13:  1.1244e+08 -2.1075e+08  3e+08  2e-16  1e-10\n",
      "14:  1.6958e+07 -1.8708e+07  4e+07  2e-16  2e-12\n",
      "15:  2.4338e+06 -2.7048e+06  5e+06  2e-16  4e-13\n",
      "16:  3.4827e+05 -3.8617e+05  7e+05  2e-16  2e-13\n",
      "17:  4.9636e+04 -5.5560e+04  1e+05  1e-16  4e-14\n",
      "18:  7.0046e+03 -8.0658e+03  2e+04  3e-16  3e-14\n",
      "19:  9.6128e+02 -1.1974e+03  2e+03  2e-16  7e-15\n",
      "20:  1.2033e+02 -1.8834e+02  3e+02  2e-16  2e-15\n",
      "21:  9.2452e+00 -3.4335e+01  4e+01  2e-16  8e-16\n",
      "22: -3.2786e+00 -8.9128e+00  6e+00  2e-16  3e-16\n",
      "23: -4.1113e+00 -4.5171e+00  4e-01  2e-16  1e-16\n",
      "24: -4.1282e+00 -4.1607e+00  3e-02  2e-16  7e-17\n",
      "25: -4.1295e+00 -4.1306e+00  1e-03  2e-16  8e-17\n",
      "26: -4.1295e+00 -4.1295e+00  1e-05  2e-16  8e-17\n",
      "27: -4.1295e+00 -4.1295e+00  1e-07  2e-16  6e-17\n",
      "Optimal solution found.\n"
     ]
    }
   ],
   "source": [
    "# convert pandas dataframe to numpy\n",
    "data = df_inc.to_numpy()\n",
    "\n",
    "#sort the rows by sequence numbers in 1st column \n",
    "idx = np.argsort(data[:, 0])  \n",
    "data = data[idx, :]\n",
    "\n",
    "# replace nan's (missing values) with 0's\n",
    "original = data\n",
    "original[np.isnan(original)] = 0\n",
    "\n",
    "# delete 1st column (sequence numbers)\n",
    "original = original[:, 1:]\n",
    "\n",
    "# one hot encode all features as they are categorical\n",
    "onehot_encoder = OneHotEncoder(sparse=False)\n",
    "onehot_encoded = onehot_encoder.fit_transform(original)\n",
    "\n",
    "explainer = ProtodashExplainer()\n",
    "\n",
    "# call protodash explainer\n",
    "# S contains indices of the selected prototypes\n",
    "# W contains importance weights associated with the selected prototypes \n",
    "(W, S, _) = explainer.explain(onehot_encoded, onehot_encoded, m=10) \n",
    "\n",
    "# sort the order of prototypes in set S\n",
    "idx = np.argsort(S)\n",
    "S = S[idx]\n",
    "W = W[idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>21</th>\n",
       "      <th>343</th>\n",
       "      <th>718</th>\n",
       "      <th>821</th>\n",
       "      <th>1737</th>\n",
       "      <th>2561</th>\n",
       "      <th>3620</th>\n",
       "      <th>4068</th>\n",
       "      <th>6778</th>\n",
       "      <th>8376</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Respondent sequence number</th>\n",
       "      <td>73578.00</td>\n",
       "      <td>73900.00</td>\n",
       "      <td>74275.00</td>\n",
       "      <td>74378.00</td>\n",
       "      <td>75294.00</td>\n",
       "      <td>76118.00</td>\n",
       "      <td>77177.00</td>\n",
       "      <td>77625.00</td>\n",
       "      <td>80335.00</td>\n",
       "      <td>81933.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from wages/salaries</th>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from self employment</th>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from Social Security or RR</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from other disability pension</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from retirement/survivor pension</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from Supplemental Security Income</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from state/county cash assistance</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from interest/dividends or rental</th>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income from other sources</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monthly family income</th>\n",
       "      <td>99.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family monthly poverty level index</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.85</td>\n",
       "      <td>3.48</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1.97</td>\n",
       "      <td>4.77</td>\n",
       "      <td>0.99</td>\n",
       "      <td>2.88</td>\n",
       "      <td>0.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family monthly poverty level category</th>\n",
       "      <td>1.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family has savings more than $5000</th>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total savings/cash assets for the family</th>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weights of Prototypes</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              21        343       718   \\\n",
       "Respondent sequence number                73578.00  73900.00  74275.00   \n",
       "Income from wages/salaries                    1.00      2.00      1.00   \n",
       "Income from self employment                   1.00      1.00      2.00   \n",
       "Income from Social Security or RR             2.00      2.00      2.00   \n",
       "Income from other disability pension          2.00      2.00      2.00   \n",
       "Income from retirement/survivor pension       2.00      2.00      2.00   \n",
       "Income from Supplemental Security Income      2.00      2.00      2.00   \n",
       "Income from state/county cash assistance      2.00      2.00      2.00   \n",
       "Income from interest/dividends or rental      2.00      1.00      1.00   \n",
       "Income from other sources                     2.00      2.00      2.00   \n",
       "Monthly family income                        99.00     12.00      5.00   \n",
       "Family monthly poverty level index             NaN      5.00      1.85   \n",
       "Family monthly poverty level category         1.00      3.00      2.00   \n",
       "Family has savings more than $5000            2.00       NaN      1.00   \n",
       "Total savings/cash assets for the family      1.00       NaN       NaN   \n",
       "Weights of Prototypes                         0.08      0.11      0.11   \n",
       "\n",
       "                                              821       1737      2561  \\\n",
       "Respondent sequence number                74378.00  75294.00  76118.00   \n",
       "Income from wages/salaries                    1.00      1.00      1.00   \n",
       "Income from self employment                   2.00      2.00      2.00   \n",
       "Income from Social Security or RR             2.00      2.00      1.00   \n",
       "Income from other disability pension          2.00      2.00      2.00   \n",
       "Income from retirement/survivor pension       2.00      2.00      2.00   \n",
       "Income from Supplemental Security Income      2.00      2.00      2.00   \n",
       "Income from state/county cash assistance      2.00      2.00      2.00   \n",
       "Income from interest/dividends or rental      2.00      2.00      2.00   \n",
       "Income from other sources                     2.00      2.00      2.00   \n",
       "Monthly family income                         8.00      3.00      7.00   \n",
       "Family monthly poverty level index            3.48      0.67      1.97   \n",
       "Family monthly poverty level category         3.00      1.00      3.00   \n",
       "Family has savings more than $5000            2.00       NaN      2.00   \n",
       "Total savings/cash assets for the family      2.00       NaN      1.00   \n",
       "Weights of Prototypes                         0.08      0.18      0.14   \n",
       "\n",
       "                                              3620      4068      6778  \\\n",
       "Respondent sequence number                77177.00  77625.00  80335.00   \n",
       "Income from wages/salaries                    1.00      1.00      1.00   \n",
       "Income from self employment                   2.00      2.00      2.00   \n",
       "Income from Social Security or RR             2.00      1.00      2.00   \n",
       "Income from other disability pension          2.00      2.00      1.00   \n",
       "Income from retirement/survivor pension       1.00      2.00      2.00   \n",
       "Income from Supplemental Security Income      2.00      2.00      2.00   \n",
       "Income from state/county cash assistance      2.00      2.00      2.00   \n",
       "Income from interest/dividends or rental      2.00      2.00      2.00   \n",
       "Income from other sources                     2.00      1.00      1.00   \n",
       "Monthly family income                        11.00      4.00      6.00   \n",
       "Family monthly poverty level index            4.77      0.99      2.88   \n",
       "Family monthly poverty level category         3.00      1.00      3.00   \n",
       "Family has savings more than $5000             NaN       NaN      2.00   \n",
       "Total savings/cash assets for the family       NaN       NaN      1.00   \n",
       "Weights of Prototypes                         0.06      0.09      0.09   \n",
       "\n",
       "                                              8376  \n",
       "Respondent sequence number                81933.00  \n",
       "Income from wages/salaries                    2.00  \n",
       "Income from self employment                   2.00  \n",
       "Income from Social Security or RR             2.00  \n",
       "Income from other disability pension          2.00  \n",
       "Income from retirement/survivor pension       1.00  \n",
       "Income from Supplemental Security Income      1.00  \n",
       "Income from state/county cash assistance      1.00  \n",
       "Income from interest/dividends or rental      2.00  \n",
       "Income from other sources                     2.00  \n",
       "Monthly family income                         2.00  \n",
       "Family monthly poverty level index            0.73  \n",
       "Family monthly poverty level category         1.00  \n",
       "Family has savings more than $5000            2.00  \n",
       "Total savings/cash assets for the family      1.00  \n",
       "Weights of Prototypes                         0.07  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display the prototypes along with their computed weights\n",
    "inc_prototypes = df_inc.iloc[S, :].copy()\n",
    "# Compute normalized importance weights for prototypes\n",
    "inc_prototypes[\"Weights of Prototypes\"] = np.around(W/np.sum(W), 2) \n",
    "inc_prototypes.transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Explanation:\n",
    "The 10 people shown above (i.e. 10 prototypes) are representative of the income questionnaire according to Protodash. Firstly, in the [distribution plot](#Dplot) for family finance related questions we saw that there roughly were 5 times as many people not having savings in excess of $5000 compared with others. Our prototypes also have a similar spread which is reassuring. Also for monthly family income we get a more even spread over the more commonly occuring categories. This is kind of a spot check to see if our prototypes actually match the distribution of values in the dataset.\n",
    "\n",
    "Looking at the other questions in the questionnaire and the corresponding answers given by the prototypical people above the social scientist realizes that most people are employeed (3rd question) and work for an organization earning through salary/wages (1st two questions). Most of them are also young (5th question) and fit to work (4th question). However, they don't seem to have much savings (last question). These insights that the social scientist has acquired from studying the prototypes could be conveyed also to the appropriate government authorities that affect future public policy decisions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name=\"study2\"></a>\n",
    "## Study 2: Find Questionnaire/s that are most representative of Income\n",
    "\n",
    "We now move on to our second study, where we want to see how the remaining 39 questionnaires represent or relate to income. This will provide us with an idea of which lifestyle factors are likely to affect income the most. To do this we compute prototypes for each of the questionnaires and evaluate how well they represent the income questionnaire relative to our objective function. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Compute prototypes for all questionaires\n",
    "\n",
    "This step uses Protodash explainer to compute 10 prototypes for each of the questionaires and saves these for  further evaluation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  ACQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.5310e+01 -2.0066e+05  4e+01  1e+00  1e+00\n",
      " 2:  2.2661e-01 -2.9693e+06  6e+02  1e+00  1e+00\n",
      " 3:  4.5958e+00 -4.9296e+08  1e+05  1e+00  1e+00\n",
      " 4:  2.5900e+06 -1.1503e+16  1e+16  3e-13  1e-05\n",
      " 5:  2.5900e+06 -1.1503e+14  1e+14  3e-15  2e-05\n",
      " 6:  2.5900e+06 -1.1503e+12  1e+12  4e-17  2e-07\n",
      " 7:  2.5892e+06 -1.1510e+10  1e+10  2e-16  1e-09\n",
      " 8:  2.5107e+06 -1.2228e+08  1e+08  3e-16  1e-11\n",
      " 9:  7.7656e+05 -2.8694e+06  4e+06  2e-17  8e-13\n",
      "10:  1.1690e+05 -1.4468e+05  3e+05  1e-16  2e-13\n",
      "11:  1.6636e+04 -1.8584e+04  4e+04  2e-16  3e-14\n",
      "12:  2.3433e+03 -2.7242e+03  5e+03  2e-16  1e-14\n",
      "13:  3.1920e+02 -4.0603e+02  7e+02  4e-16  3e-15\n",
      "14:  3.8823e+01 -6.4788e+01  1e+02  2e-16  9e-16\n",
      "15:  2.2958e+00 -1.2253e+01  1e+01  2e-17  7e-16\n",
      "16: -1.6449e+00 -3.4574e+00  2e+00  2e-16  3e-16\n",
      "17: -1.8754e+00 -2.1093e+00  2e-01  1e-16  1e-16\n",
      "18: -1.8873e+00 -1.8948e+00  7e-03  3e-17  1e-16\n",
      "19: -1.8873e+00 -1.8874e+00  7e-05  5e-17  2e-17\n",
      "20: -1.8873e+00 -1.8873e+00  7e-07  7e-17  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.6746e+01 -3.8908e+05  8e+01  1e+00  1e+00\n",
      " 2:  4.9785e+00 -3.6077e+06  8e+02  1e+00  1e+00\n",
      " 3:  9.3452e+00 -2.8159e+08  6e+04  1e+00  1e+00\n",
      " 4:  2.6492e+01 -1.3740e+12  6e+08  1e+00  1e+00\n",
      " 5:  2.5405e+04 -8.3701e+18  8e+18  1e-13  2e-02\n",
      " 6:  2.5405e+04 -8.3701e+16  8e+16  1e-15  7e-03\n",
      " 7:  2.5405e+04 -8.3701e+14  8e+14  4e-16  8e-05\n",
      " 8:  2.5405e+04 -8.3701e+12  8e+12  2e-16  2e-06\n",
      " 9:  2.5405e+04 -8.3701e+10  8e+10  2e-16  2e-08\n",
      "10:  2.5389e+04 -8.3707e+08  8e+08  2e-16  1e-10\n",
      "11:  2.3893e+04 -8.4257e+06  8e+06  3e-16  2e-12\n",
      "12:  5.5227e+03 -9.2235e+04  1e+05  9e-17  2e-14\n",
      "13:  7.9098e+02 -1.7422e+03  3e+03  3e-16  5e-15\n",
      "14:  1.0410e+02 -1.4288e+02  2e+02  1e-16  3e-15\n",
      "15:  1.0682e+01 -2.4891e+01  4e+01  2e-16  1e-15\n",
      "16: -7.3874e-01 -5.5437e+00  5e+00  8e-17  6e-16\n",
      "17: -1.8002e+00 -2.2659e+00  5e-01  1e-16  2e-16\n",
      "18: -1.9008e+00 -1.9607e+00  6e-02  2e-16  2e-16\n",
      "19: -1.9046e+00 -1.9066e+00  2e-03  2e-16  2e-16\n",
      "20: -1.9046e+00 -1.9047e+00  2e-05  2e-16  1e-16\n",
      "21: -1.9046e+00 -1.9046e+00  2e-07  3e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.8630e+01 -6.2350e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.6851e+00 -2.4387e+06  5e+02  1e+00  1e+00\n",
      " 3:  5.7468e+00 -1.0254e+07  2e+03  1e+00  1e+00\n",
      " 4:  6.1805e+00 -1.3367e+08  3e+04  1e+00  1e+00\n",
      " 5:  7.6593e+00 -2.3863e+10  5e+06  1e+00  1e+00\n",
      " 6:  4.6245e+08 -5.5106e+17  6e+17  4e-13  1e-03\n",
      " 7:  4.6245e+08 -5.5106e+15  6e+15  4e-15  6e-04\n",
      " 8:  4.6245e+08 -5.5108e+13  6e+13  2e-16  5e-06\n",
      " 9:  4.6243e+08 -5.5239e+11  6e+11  9e-17  4e-08\n",
      "10:  4.6010e+08 -6.8320e+09  7e+09  2e-16  5e-10\n",
      "11:  3.1527e+08 -9.3930e+08  1e+09  2e-16  1e-07\n",
      "12:  4.5675e+07 -1.6521e+08  2e+08  2e-16  1e-11\n",
      "13:  8.4482e+06 -1.0627e+07  2e+07  2e-16  2e-12\n",
      "14:  1.2189e+06 -1.3643e+06  3e+06  2e-16  3e-13\n",
      "15:  1.7481e+05 -1.9485e+05  4e+05  3e-16  2e-13\n",
      "16:  2.4956e+04 -2.7898e+04  5e+04  3e-16  1e-13\n",
      "17:  3.5328e+03 -4.0362e+03  8e+03  3e-16  2e-14\n",
      "18:  4.8890e+02 -5.9515e+02  1e+03  7e-17  5e-15\n",
      "19:  6.2968e+01 -9.2084e+01  2e+02  1e-16  6e-15\n",
      "20:  5.8129e+00 -1.6139e+01  2e+01  1e-16  1e-15\n",
      "21: -1.0110e+00 -3.8872e+00  3e+00  8e-17  8e-16\n",
      "22: -1.8251e+00 -2.4208e+00  6e-01  2e-16  7e-17\n",
      "23: -1.9121e+00 -1.9638e+00  5e-02  1e-16  8e-17\n",
      "24: -1.9162e+00 -1.9192e+00  3e-03  4e-16  7e-17\n",
      "25: -1.9162e+00 -1.9163e+00  3e-05  1e-16  9e-17\n",
      "26: -1.9162e+00 -1.9162e+00  3e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.9535e+01 -8.8615e+05  2e+02  1e+00  1e+00\n",
      " 2:  2.6367e+01 -9.0588e+06  2e+03  1e+00  1e+00\n",
      " 3:  1.0359e+01 -7.4482e+08  2e+05  1e+00  1e+00\n",
      " 4:  4.2583e+01 -9.1586e+11  2e+08  1e+00  1e+00\n",
      " 5:  4.4551e+07 -1.4124e+19  1e+19  4e-13  3e-02\n",
      " 6:  4.4551e+07 -1.4124e+17  1e+17  4e-15  2e-02\n",
      " 7:  4.4551e+07 -1.4124e+15  1e+15  2e-16  1e-04\n",
      " 8:  4.4551e+07 -1.4125e+13  1e+13  1e-16  2e-06\n",
      " 9:  4.4545e+07 -1.4157e+11  1e+11  2e-16  2e-08\n",
      "10:  4.3899e+07 -1.7338e+09  2e+09  3e-16  3e-10\n",
      "11:  1.9855e+07 -1.3998e+08  2e+08  2e-16  3e-11\n",
      "12:  3.0249e+06 -4.4386e+06  7e+06  1e-16  7e-13\n",
      "13:  4.3512e+05 -4.8514e+05  9e+05  2e-16  2e-13\n",
      "14:  6.2314e+04 -6.9978e+04  1e+05  3e-16  6e-14\n",
      "15:  8.8564e+03 -1.0040e+04  2e+04  2e-16  2e-14\n",
      "16:  1.2381e+03 -1.4677e+03  3e+03  1e-16  7e-15\n",
      "17:  1.6487e+02 -2.2246e+02  4e+02  1e-16  4e-15\n",
      "18:  1.8232e+01 -3.6958e+01  6e+01  1e-16  2e-15\n",
      "19: -1.1157e-01 -7.7211e+00  8e+00  3e-16  5e-16\n",
      "20: -1.8462e+00 -2.6834e+00  8e-01  2e-16  3e-16\n",
      "21: -1.9182e+00 -2.0069e+00  9e-02  3e-16  4e-17\n",
      "22: -1.9207e+00 -1.9220e+00  1e-03  2e-16  4e-17\n",
      "23: -1.9207e+00 -1.9207e+00  1e-05  2e-16  1e-16\n",
      "24: -1.9207e+00 -1.9207e+00  1e-07  6e-17  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  6.4833e+01 -1.2123e+06  2e+02  1e+00  1e+00\n",
      " 2:  6.2262e+00 -6.0212e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.9784e+01 -2.6557e+07  5e+03  1e+00  1e+00\n",
      " 4:  2.3740e+01 -5.9992e+08  1e+05  1e+00  1e+00\n",
      " 5:  2.4301e+01 -4.3645e+11  1e+08  1e+00  1e+00\n",
      " 6:  6.3596e+08 -8.1814e+18  8e+18  4e-13  1e-02\n",
      " 7:  6.3596e+08 -8.1814e+16  8e+16  5e-15  6e-03\n",
      " 8:  6.3596e+08 -8.1814e+14  8e+14  3e-16  4e-05\n",
      " 9:  6.3596e+08 -8.1841e+12  8e+12  3e-16  4e-07\n",
      "10:  6.3575e+08 -8.4549e+10  9e+10  2e-16  6e-09\n",
      "11:  6.1618e+08 -3.4697e+09  4e+09  2e-16  1e-08\n",
      "12:  6.2323e+07 -1.3149e+09  1e+09  1e-16  8e-09\n",
      "13:  1.9752e+07 -3.8297e+07  6e+07  1e-16  3e-10\n",
      "14:  2.9989e+06 -3.3190e+06  6e+06  2e-16  3e-12\n",
      "15:  4.3054e+05 -4.8072e+05  9e+05  2e-16  4e-13\n",
      "16:  6.1569e+04 -6.8520e+04  1e+05  3e-16  1e-13\n",
      "17:  8.7544e+03 -9.8751e+03  2e+04  2e-16  3e-14\n",
      "18:  1.2270e+03 -1.4415e+03  3e+03  2e-16  2e-14\n",
      "19:  1.6483e+02 -2.1723e+02  4e+02  1e-16  7e-15\n",
      "20:  1.8927e+01 -3.5549e+01  5e+01  9e-17  3e-15\n",
      "21:  3.5173e-01 -7.1839e+00  8e+00  2e-16  1e-15\n",
      "22: -1.5207e+00 -2.7934e+00  1e+00  6e-17  2e-16\n",
      "23: -1.8875e+00 -2.1892e+00  3e-01  2e-16  1e-16\n",
      "24: -1.9205e+00 -1.9416e+00  2e-02  2e-16  9e-17\n",
      "25: -1.9230e+00 -1.9243e+00  1e-03  2e-16  1e-16\n",
      "26: -1.9230e+00 -1.9230e+00  2e-05  3e-16  1e-16\n",
      "27: -1.9230e+00 -1.9230e+00  2e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  7.5817e+01 -1.5338e+06  3e+02  1e+00  1e+00\n",
      " 2:  7.8529e+01 -3.1293e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.4460e+01 -8.5391e+07  2e+04  1e+00  1e+00\n",
      " 4:  2.2098e+01 -3.3444e+09  7e+05  1e+00  1e+00\n",
      " 5:  2.3160e+01 -1.0725e+13  4e+09  1e+00  1e+00\n",
      " 6:  1.1290e+09 -9.5488e+19  1e+20  2e-13  1e-01\n",
      " 7:  1.1290e+09 -9.5488e+17  1e+18  2e-15  5e-02\n",
      " 8:  1.1290e+09 -9.5488e+15  1e+16  2e-16  6e-04\n",
      " 9:  1.1290e+09 -9.5493e+13  1e+14  1e-16  8e-06\n",
      "10:  1.1290e+09 -9.6012e+11  1e+12  1e-16  1e-07\n",
      "11:  1.1259e+09 -1.4782e+10  2e+10  2e-16  2e-09\n",
      "12:  9.5496e+08 -4.5276e+09  5e+09  2e-16  6e-08\n",
      "13:  1.0488e+08 -4.2852e+09  4e+09  3e-16  2e-08\n",
      "14:  4.2119e+07 -2.7596e+08  3e+08  2e-16  1e-09\n",
      "15:  6.8279e+06 -9.7173e+06  2e+07  1e-16  2e-11\n",
      "16:  9.8113e+05 -1.0854e+06  2e+06  2e-16  2e-13\n",
      "17:  1.4060e+05 -1.5703e+05  3e+05  2e-16  1e-13\n",
      "18:  2.0041e+04 -2.2489e+04  4e+04  3e-16  8e-14\n",
      "19:  2.8264e+03 -3.2646e+03  6e+03  1e-16  2e-14\n",
      "20:  3.8697e+02 -4.8536e+02  9e+02  2e-16  8e-15\n",
      "21:  4.8003e+01 -7.6693e+01  1e+02  2e-16  3e-15\n",
      "22:  3.4160e+00 -1.4154e+01  2e+01  2e-16  1e-15\n",
      "23: -1.5558e+00 -3.7925e+00  2e+00  1e-16  4e-16\n",
      "24: -1.9037e+00 -2.0576e+00  2e-01  2e-16  2e-16\n",
      "25: -1.9242e+00 -1.9430e+00  2e-02  2e-16  5e-17\n",
      "26: -1.9251e+00 -1.9256e+00  6e-04  2e-16  1e-16\n",
      "27: -1.9251e+00 -1.9251e+00  6e-06  2e-16  7e-17\n",
      "28: -1.9251e+00 -1.9251e+00  6e-08  3e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.7226e+01 -1.9716e+06  4e+02  1e+00  1e+00\n",
      " 2:  8.8568e+01 -3.9453e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.0353e+01 -1.6039e+08  3e+04  1e+00  1e+00\n",
      " 4:  2.2863e+01 -7.4976e+09  2e+06  1e+00  1e+00\n",
      " 5:  7.6072e+01 -6.8864e+13  4e+10  1e+00  1e+00\n",
      " 6:  9.9216e+08 -2.0052e+20  2e+20  1e-13  1e-01\n",
      " 7:  9.9216e+08 -2.0052e+18  2e+18  1e-15  1e-01\n",
      " 8:  9.9216e+08 -2.0052e+16  2e+16  1e-16  1e-03\n",
      " 9:  9.9216e+08 -2.0052e+14  2e+14  2e-16  2e-05\n",
      "10:  9.9214e+08 -2.0099e+12  2e+12  3e-16  3e-07\n",
      "11:  9.9020e+08 -2.4737e+10  3e+10  2e-16  3e-09\n",
      "12:  8.8768e+08 -4.6227e+09  6e+09  1e-16  2e-08\n",
      "13:  2.1732e+08 -5.1900e+09  5e+09  2e-16  2e-08\n",
      "14:  9.1139e+07 -4.5749e+08  5e+08  2e-16  1e-09\n",
      "15:  1.5027e+07 -2.0759e+07  4e+07  3e-16  1e-11\n",
      "16:  2.1726e+06 -2.4347e+06  5e+06  2e-16  5e-13\n",
      "17:  3.1188e+05 -3.4839e+05  7e+05  2e-16  3e-13\n",
      "18:  4.4580e+04 -4.9709e+04  9e+04  1e-16  1e-13\n",
      "19:  6.3306e+03 -7.1693e+03  1e+04  1e-16  4e-14\n",
      "20:  8.8404e+02 -1.0495e+03  2e+03  2e-16  2e-14\n",
      "21:  1.1739e+02 -1.5938e+02  3e+02  2e-16  6e-15\n",
      "22:  1.2805e+01 -2.6602e+01  4e+01  2e-16  2e-15\n",
      "23: -2.3994e-01 -5.6375e+00  5e+00  1e-16  9e-16\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24: -1.3466e+00 -3.1160e+00  2e+00  1e-16  2e-16\n",
      "25: -1.8640e+00 -2.5636e+00  7e-01  2e-16  2e-16\n",
      "26: -1.9185e+00 -1.9703e+00  5e-02  2e-16  1e-16\n",
      "27: -1.9249e+00 -1.9293e+00  4e-03  1e-16  1e-16\n",
      "28: -1.9255e+00 -1.9259e+00  4e-04  1e-16  7e-17\n",
      "29: -1.9256e+00 -1.9256e+00  2e-05  2e-16  1e-16\n",
      "30: -1.9256e+00 -1.9256e+00  2e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.0772e+02 -2.3414e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.3117e+02 -4.1443e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.5323e+01 -5.4587e+07  1e+04  1e+00  1e+00\n",
      " 4:  4.0864e+01 -8.3463e+08  2e+05  1e+00  1e+00\n",
      " 5:  5.3944e+01 -3.5544e+11  8e+07  1e+00  1e+00\n",
      " 6:  1.1159e+09 -7.4311e+18  7e+18  4e-13  5e-03\n",
      " 7:  1.1159e+09 -7.4311e+16  7e+16  4e-15  5e-03\n",
      " 8:  1.1159e+09 -7.4312e+14  7e+14  2e-16  5e-05\n",
      " 9:  1.1159e+09 -7.4383e+12  7e+12  2e-16  6e-07\n",
      "10:  1.1153e+09 -8.1503e+10  8e+10  2e-16  7e-09\n",
      "11:  1.0644e+09 -7.7071e+09  9e+09  2e-16  3e-09\n",
      "12:  1.3329e+08 -7.9729e+09  8e+09  1e-16  1e-09\n",
      "13:  6.2144e+07 -3.4026e+08  4e+08  2e-16  5e-11\n",
      "14:  1.0042e+07 -1.4152e+07  2e+07  2e-16  1e-12\n",
      "15:  1.4413e+06 -1.5860e+06  3e+06  2e-16  7e-13\n",
      "16:  2.0657e+05 -2.3010e+05  4e+05  1e-16  3e-13\n",
      "17:  2.9476e+04 -3.2940e+04  6e+04  2e-16  4e-14\n",
      "18:  4.1707e+03 -4.7695e+03  9e+03  2e-16  4e-14\n",
      "19:  5.7664e+02 -7.0395e+02  1e+03  2e-16  1e-14\n",
      "20:  7.4082e+01 -1.0912e+02  2e+02  2e-16  3e-15\n",
      "21:  6.7708e+00 -1.9190e+01  3e+01  1e-16  1e-15\n",
      "22: -1.1745e+00 -4.6103e+00  3e+00  3e-16  7e-16\n",
      "23: -1.8444e+00 -2.1955e+00  4e-01  2e-16  2e-16\n",
      "24: -1.9191e+00 -1.9595e+00  4e-02  2e-16  1e-16\n",
      "25: -1.9256e+00 -1.9303e+00  5e-03  2e-16  9e-17\n",
      "26: -1.9262e+00 -1.9266e+00  4e-04  2e-16  6e-17\n",
      "27: -1.9263e+00 -1.9263e+00  2e-05  2e-16  1e-16\n",
      "28: -1.9263e+00 -1.9263e+00  2e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.2494e+02 -2.7991e+06  5e+02  1e+00  1e+00\n",
      " 2:  1.7507e+02 -4.8743e+06  9e+02  1e+00  1e+00\n",
      " 3:  1.7265e+01 -4.0680e+07  8e+03  1e+00  1e+00\n",
      " 4:  4.0386e+01 -3.7556e+08  8e+04  1e+00  1e+00\n",
      " 5:  5.4178e+01 -4.4051e+10  9e+06  1e+00  1e+00\n",
      " 6:  1.7875e+09 -1.0409e+18  1e+18  5e-13  6e-04\n",
      " 7:  1.7875e+09 -1.0409e+16  1e+16  5e-15  4e-04\n",
      " 8:  1.7875e+09 -1.0410e+14  1e+14  2e-16  8e-06\n",
      " 9:  1.7874e+09 -1.0505e+12  1e+12  1e-16  9e-08\n",
      "10:  1.7775e+09 -1.9951e+10  2e+10  2e-16  2e-09\n",
      "11:  1.1185e+09 -5.2578e+09  6e+09  2e-16  6e-08\n",
      "12:  1.7921e+08 -1.0938e+09  1e+09  4e-16  1e-11\n",
      "13:  3.7154e+07 -5.5716e+07  9e+07  9e-17  2e-12\n",
      "14:  5.3760e+06 -5.8678e+06  1e+07  3e-16  8e-13\n",
      "15:  7.7184e+05 -8.6060e+05  2e+06  2e-16  3e-13\n",
      "16:  1.1044e+05 -1.2256e+05  2e+05  2e-16  2e-13\n",
      "17:  1.5735e+04 -1.7637e+04  3e+04  2e-16  7e-14\n",
      "18:  2.2180e+03 -2.5626e+03  5e+03  2e-16  2e-14\n",
      "19:  3.0330e+02 -3.8141e+02  7e+02  3e-16  1e-14\n",
      "20:  3.7438e+01 -6.0409e+01  1e+02  2e-16  2e-15\n",
      "21:  2.5263e+00 -1.1228e+01  1e+01  2e-16  1e-15\n",
      "22: -1.3900e+00 -3.0969e+00  2e+00  2e-16  4e-16\n",
      "23: -1.8723e+00 -2.3296e+00  5e-01  2e-16  1e-16\n",
      "24: -1.9214e+00 -1.9579e+00  4e-02  2e-16  1e-16\n",
      "25: -1.9263e+00 -1.9293e+00  3e-03  2e-16  1e-16\n",
      "26: -1.9265e+00 -1.9267e+00  2e-04  2e-16  8e-17\n",
      "27: -1.9265e+00 -1.9265e+00  6e-06  2e-16  1e-16\n",
      "28: -1.9265e+00 -1.9265e+00  6e-08  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "processing  ALQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.0819e+01 -2.7904e+05  6e+01  1e+00  1e+00\n",
      " 2:  2.4817e+00 -2.3206e+06  5e+02  1e+00  1e+00\n",
      " 3:  8.4644e+00 -2.3998e+08  5e+04  1e+00  1e+00\n",
      " 4:  2.0332e+01 -6.0208e+11  2e+08  1e+00  1e+00\n",
      " 5:  1.0172e+05 -6.3132e+18  6e+18  4e-13  1e-02\n",
      " 6:  1.0172e+05 -6.3132e+16  6e+16  4e-15  1e-02\n",
      " 7:  1.0172e+05 -6.3132e+14  6e+14  1e-16  6e-05\n",
      " 8:  1.0172e+05 -6.3132e+12  6e+12  1e-16  2e-06\n",
      " 9:  1.0172e+05 -6.3132e+10  6e+10  2e-16  2e-08\n",
      "10:  1.0156e+05 -6.3158e+08  6e+08  2e-16  2e-10\n",
      "11:  8.7842e+04 -6.5407e+06  7e+06  2e-16  3e-12\n",
      "12:  1.6187e+04 -8.5337e+04  1e+05  2e-16  9e-14\n",
      "13:  2.3426e+03 -3.1523e+03  5e+03  1e-16  3e-14\n",
      "14:  3.2166e+02 -3.9112e+02  7e+02  6e-17  1e-14\n",
      "15:  4.0566e+01 -6.2142e+01  1e+02  2e-16  5e-16\n",
      "16:  3.0790e+00 -1.1323e+01  1e+01  2e-16  5e-16\n",
      "17: -1.4077e+00 -3.2217e+00  2e+00  2e-16  2e-16\n",
      "18: -1.8915e+00 -2.1302e+00  2e-01  3e-16  2e-16\n",
      "19: -1.9228e+00 -1.9385e+00  2e-02  2e-16  1e-16\n",
      "20: -1.9230e+00 -1.9232e+00  2e-04  2e-16  1e-16\n",
      "21: -1.9230e+00 -1.9230e+00  2e-06  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.7845e+01 -4.3677e+05  8e+01  1e+00  1e+00\n",
      " 2:  3.8438e+00 -2.2692e+06  5e+02  1e+00  1e+00\n",
      " 3:  9.6590e+00 -9.6365e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.1774e+01 -1.8769e+08  4e+04  1e+00  1e+00\n",
      " 5:  1.2741e+01 -1.0056e+11  2e+07  1e+00  1e+00\n",
      " 6:  2.4927e+08 -2.0235e+18  2e+18  3e-13  4e-03\n",
      " 7:  2.4927e+08 -2.0235e+16  2e+16  3e-15  2e-03\n",
      " 8:  2.4927e+08 -2.0235e+14  2e+14  8e-17  3e-05\n",
      " 9:  2.4926e+08 -2.0244e+12  2e+12  3e-16  2e-07\n",
      "10:  2.4902e+08 -2.1193e+10  2e+10  1e-16  3e-09\n",
      "11:  2.2763e+08 -1.0771e+09  1e+09  7e-17  1e-08\n",
      "12:  3.8967e+07 -2.0610e+08  2e+08  7e-17  2e-10\n",
      "13:  8.4115e+06 -1.1763e+07  2e+07  1e-16  7e-12\n",
      "14:  1.2198e+06 -1.3526e+06  3e+06  9e-17  2e-13\n",
      "15:  1.7505e+05 -1.9585e+05  4e+05  4e-17  2e-13\n",
      "16:  2.4990e+04 -2.7963e+04  5e+04  2e-16  8e-14\n",
      "17:  3.5361e+03 -4.0468e+03  8e+03  2e-16  2e-14\n",
      "18:  4.8861e+02 -5.9734e+02  1e+03  8e-17  1e-14\n",
      "19:  6.2550e+01 -9.2735e+01  2e+02  3e-16  4e-15\n",
      "20:  5.5151e+00 -1.6428e+01  2e+01  1e-16  1e-15\n",
      "21: -1.2655e+00 -4.1088e+00  3e+00  2e-16  2e-16\n",
      "22: -1.9679e+00 -2.3974e+00  4e-01  2e-16  8e-17\n",
      "23: -2.0361e+00 -2.0734e+00  4e-02  1e-16  7e-17\n",
      "24: -2.0376e+00 -2.0383e+00  7e-04  1e-16  4e-17\n",
      "25: -2.0376e+00 -2.0376e+00  7e-06  2e-16  1e-16\n",
      "26: -2.0376e+00 -2.0376e+00  7e-08  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.4762e+01 -6.5116e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.4711e+01 -1.3071e+06  3e+02  1e+00  1e+00\n",
      " 3:  5.5252e+00 -2.7564e+07  6e+03  1e+00  1e+00\n",
      " 4:  1.5687e+01 -6.6277e+08  1e+05  1e+00  1e+00\n",
      " 5:  1.9052e+01 -9.1669e+11  2e+08  1e+00  1e+00\n",
      " 6:  4.6422e+08 -1.3721e+19  1e+19  2e-13  1e-02\n",
      " 7:  4.6422e+08 -1.3721e+17  1e+17  2e-15  8e-03\n",
      " 8:  4.6422e+08 -1.3721e+15  1e+15  2e-16  8e-05\n",
      " 9:  4.6422e+08 -1.3724e+13  1e+13  2e-16  9e-07\n",
      "10:  4.6417e+08 -1.3988e+11  1e+11  2e-16  6e-09\n",
      "11:  4.5965e+08 -4.0240e+09  4e+09  1e-16  2e-10\n",
      "12:  1.2710e+08 -1.2110e+09  1e+09  2e-16  7e-09\n",
      "13:  3.8820e+07 -6.9544e+07  1e+08  2e-16  4e-10\n",
      "14:  5.7530e+06 -6.3632e+06  1e+07  1e-16  8e-13\n",
      "15:  8.2845e+05 -9.3421e+05  2e+06  2e-16  5e-13\n",
      "16:  1.1865e+05 -1.3208e+05  3e+05  1e-16  1e-13\n",
      "17:  1.6906e+04 -1.8987e+04  4e+04  2e-16  7e-14\n",
      "18:  2.3817e+03 -2.7586e+03  5e+03  1e-16  2e-14\n",
      "19:  3.2499e+02 -4.1114e+02  7e+02  1e-16  9e-15\n",
      "20:  3.9759e+01 -6.5397e+01  1e+02  2e-16  2e-15\n",
      "21:  2.4475e+00 -1.2304e+01  1e+01  7e-17  6e-16\n",
      "22: -1.6828e+00 -3.5005e+00  2e+00  7e-17  3e-16\n",
      "23: -2.0393e+00 -2.3272e+00  3e-01  4e-17  1e-16\n",
      "24: -2.0733e+00 -2.0918e+00  2e-02  3e-16  1e-16\n",
      "25: -2.0738e+00 -2.0740e+00  3e-04  2e-16  2e-16\n",
      "26: -2.0738e+00 -2.0738e+00  3e-06  1e-16  2e-16\n",
      "27: -2.0738e+00 -2.0738e+00  3e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.8983e+01 -8.2611e+05  1e+02  1e+00  1e+00\n",
      " 2:  6.7477e+01 -1.6115e+06  3e+02  1e+00  1e+00\n",
      " 3:  4.7492e+00 -9.1129e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.9102e+01 -5.9350e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.6703e+01 -3.5757e+09  7e+05  1e+00  1e+00\n",
      " 6:  3.2296e+08 -8.6708e+16  9e+16  4e-13  2e-04\n",
      " 7:  3.2296e+08 -8.6708e+14  9e+14  4e-15  4e-05\n",
      " 8:  3.2296e+08 -8.6734e+12  9e+12  2e-16  4e-07\n",
      " 9:  3.2284e+08 -8.9352e+10  9e+10  2e-16  7e-09\n",
      "10:  3.1148e+08 -3.4207e+09  4e+09  1e-16  3e-10\n",
      "11:  5.9171e+07 -7.0145e+08  8e+08  1e-16  3e-09\n",
      "12:  1.5389e+07 -3.0565e+07  5e+07  1e-16  1e-10\n",
      "13:  2.2830e+06 -2.4877e+06  5e+06  1e-16  1e-12\n",
      "14:  3.2774e+05 -3.6742e+05  7e+05  2e-16  3e-13\n",
      "15:  4.6816e+04 -5.2282e+04  1e+05  2e-16  6e-14\n",
      "16:  6.6367e+03 -7.5553e+03  1e+04  1e-16  2e-14\n",
      "17:  9.2226e+02 -1.1104e+03  2e+03  2e-16  2e-14\n",
      "18:  1.2055e+02 -1.7036e+02  3e+02  1e-16  4e-15\n",
      "19:  1.2183e+01 -2.9171e+01  4e+01  3e-16  2e-15\n",
      "20: -9.4618e-01 -6.5509e+00  6e+00  1e-16  5e-16\n",
      "21: -2.0619e+00 -2.6117e+00  5e-01  3e-16  3e-16\n",
      "22: -2.0940e+00 -2.1307e+00  4e-02  3e-16  9e-17\n",
      "23: -2.0947e+00 -2.0954e+00  7e-04  3e-16  7e-17\n",
      "24: -2.0947e+00 -2.0947e+00  7e-06  1e-16  1e-16\n",
      "25: -2.0947e+00 -2.0947e+00  7e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.2205e+01 -1.1359e+06  2e+02  1e+00  1e+00\n",
      " 2:  7.6360e+01 -2.1056e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.0982e+01 -9.4457e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.7032e+01 -5.3396e+07  1e+04  1e+00  1e+00\n",
      " 5:  4.0945e+01 -2.2742e+09  5e+05  1e+00  1e+00\n",
      " 6:  2.0577e+01 -2.5247e+13  2e+10  1e+00  1e+00\n",
      " 7:  2.8391e+08 -5.8497e+19  6e+19  9e-14  1e-01\n",
      " 8:  2.8391e+08 -5.8497e+17  6e+17  9e-16  2e-02\n",
      " 9:  2.8391e+08 -5.8497e+15  6e+15  2e-16  4e-04\n",
      "10:  2.8391e+08 -5.8500e+13  6e+13  2e-16  5e-06\n",
      "11:  2.8389e+08 -5.8846e+11  6e+11  2e-16  5e-08\n",
      "12:  2.8134e+08 -9.3077e+09  1e+10  1e-16  3e-09\n",
      "13:  1.6346e+08 -1.7586e+09  2e+09  2e-16  5e-07\n",
      "14:  3.0547e+07 -1.1309e+08  1e+08  2e-16  2e-12\n",
      "15:  5.1328e+06 -6.9786e+06  1e+07  2e-16  5e-13\n",
      "16:  7.3767e+05 -8.1485e+05  2e+06  2e-16  4e-13\n",
      "17:  1.0562e+05 -1.1802e+05  2e+05  2e-16  1e-13\n",
      "18:  1.5033e+04 -1.6934e+04  3e+04  2e-16  7e-14\n",
      "19:  2.1118e+03 -2.4666e+03  5e+03  3e-16  2e-14\n",
      "20:  2.8572e+02 -3.6988e+02  7e+02  2e-16  8e-15\n",
      "21:  3.3849e+01 -5.9752e+01  9e+01  2e-16  3e-15\n",
      "22:  1.4313e+00 -1.1650e+01  1e+01  9e-17  7e-16\n",
      "23: -1.9324e+00 -3.5095e+00  2e+00  3e-16  4e-16\n",
      "24: -2.1067e+00 -2.2324e+00  1e-01  1e-16  1e-16\n",
      "25: -2.1131e+00 -2.1191e+00  6e-03  9e-17  1e-16\n",
      "26: -2.1131e+00 -2.1132e+00  6e-05  1e-16  1e-16\n",
      "27: -2.1131e+00 -2.1131e+00  6e-07  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.7103e+01 -1.3968e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.0718e+02 -2.5596e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.1121e+01 -1.1236e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.5656e+01 -5.0306e+07  1e+04  1e+00  1e+00\n",
      " 5:  4.6390e+01 -9.5478e+08  2e+05  1e+00  1e+00\n",
      " 6:  5.5459e+01 -5.8443e+11  1e+08  1e+00  1e+00\n",
      " 7:  5.3686e+08 -1.1433e+19  1e+19  4e-13  5e-03\n",
      " 8:  5.3686e+08 -1.1433e+17  1e+17  4e-15  6e-03\n",
      " 9:  5.3686e+08 -1.1433e+15  1e+15  1e-16  7e-05\n",
      "10:  5.3686e+08 -1.1438e+13  1e+13  2e-16  6e-07\n",
      "11:  5.3662e+08 -1.1953e+11  1e+11  2e-16  9e-09\n",
      "12:  5.1514e+08 -6.1860e+09  7e+09  2e-16  3e-09\n",
      "13:  1.1574e+08 -2.8576e+09  3e+09  2e-16  5e-10\n",
      "14:  3.4344e+07 -1.1186e+08  1e+08  2e-16  2e-11\n",
      "15:  5.2970e+06 -6.2805e+06  1e+07  2e-16  8e-13\n",
      "16:  7.5968e+05 -8.4166e+05  2e+06  1e-16  3e-13\n",
      "17:  1.0868e+05 -1.2088e+05  2e+05  1e-16  8e-14\n",
      "18:  1.5468e+04 -1.7395e+04  3e+04  1e-16  8e-14\n",
      "19:  2.1740e+03 -2.5337e+03  5e+03  2e-16  2e-14\n",
      "20:  2.9467e+02 -3.7952e+02  7e+02  2e-16  6e-15\n",
      "21:  3.5161e+01 -6.1111e+01  1e+02  1e-16  2e-15\n",
      "22:  1.6410e+00 -1.1825e+01  1e+01  2e-16  1e-15\n",
      "23: -1.8885e+00 -3.5200e+00  2e+00  2e-16  4e-16\n",
      "24: -2.1000e+00 -2.2969e+00  2e-01  2e-16  2e-16\n",
      "25: -2.1269e+00 -2.1497e+00  2e-02  1e-16  2e-16\n",
      "26: -2.1277e+00 -2.1282e+00  6e-04  2e-16  1e-16\n",
      "27: -2.1277e+00 -2.1277e+00  6e-06  2e-16  1e-16\n",
      "28: -2.1277e+00 -2.1277e+00  6e-08  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.5481e+01 -1.5063e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.0725e+02 -2.5716e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.1656e+02 -6.8007e+06  1e+03  1e+00  1e+00\n",
      " 4:  8.0527e+00 -1.6523e+08  3e+04  1e+00  1e+00\n",
      " 5:  2.1191e+01 -4.2061e+09  9e+05  1e+00  1e+00\n",
      " 6:  3.0243e+01 -4.3749e+12  1e+09  1e+00  1e+00\n",
      " 7:  1.1542e+09 -7.2969e+19  7e+19  3e-13  6e-02\n",
      " 8:  1.1542e+09 -7.2969e+17  7e+17  3e-15  2e-02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 9:  1.1542e+09 -7.2969e+15  7e+15  2e-16  4e-04\n",
      "10:  1.1542e+09 -7.2980e+13  7e+13  1e-16  6e-06\n",
      "11:  1.1541e+09 -7.4073e+11  7e+11  1e-16  7e-08\n",
      "12:  1.1374e+09 -1.8266e+10  2e+10  2e-16  2e-09\n",
      "13:  5.8982e+08 -3.2736e+09  4e+09  2e-16  6e-08\n",
      "14:  1.2722e+08 -1.9877e+08  3e+08  1e-16  4e-10\n",
      "15:  1.9414e+07 -2.2236e+07  4e+07  1e-16  4e-12\n",
      "16:  2.7976e+06 -3.1463e+06  6e+06  1e-16  6e-13\n",
      "17:  4.0114e+05 -4.4562e+05  8e+05  2e-16  4e-13\n",
      "18:  5.7314e+04 -6.3856e+04  1e+05  3e-16  9e-14\n",
      "19:  8.1351e+03 -9.2178e+03  2e+04  2e-16  3e-14\n",
      "20:  1.1349e+03 -1.3509e+03  2e+03  2e-16  2e-14\n",
      "21:  1.5026e+02 -2.0558e+02  4e+02  1e-16  9e-15\n",
      "22:  1.6173e+01 -3.4486e+01  5e+01  2e-16  2e-15\n",
      "23: -4.5350e-01 -7.3903e+00  7e+00  2e-16  8e-16\n",
      "24: -2.0103e+00 -2.7398e+00  7e-01  2e-16  2e-16\n",
      "25: -2.1175e+00 -2.2654e+00  1e-01  1e-16  1e-16\n",
      "26: -2.1319e+00 -2.1432e+00  1e-02  1e-16  8e-17\n",
      "27: -2.1322e+00 -2.1324e+00  2e-04  2e-16  1e-16\n",
      "28: -2.1322e+00 -2.1322e+00  2e-06  2e-16  9e-17\n",
      "29: -2.1322e+00 -2.1322e+00  2e-08  1e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.4839e+01 -1.8426e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2545e+02 -3.0769e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.5639e+02 -6.9902e+06  1e+03  1e+00  1e+00\n",
      " 4:  5.4910e+00 -1.0972e+08  2e+04  1e+00  1e+00\n",
      " 5:  8.4172e+00 -1.3955e+09  3e+05  1e+00  1e+00\n",
      " 6:  1.7279e+01 -2.4754e+11  5e+07  1e+00  1e+00\n",
      " 7:  2.7190e+09 -5.6892e+18  6e+18  3e-13  3e-03\n",
      " 8:  2.7190e+09 -5.6892e+16  6e+16  3e-15  3e-03\n",
      " 9:  2.7190e+09 -5.6894e+14  6e+14  2e-16  4e-05\n",
      "10:  2.7189e+09 -5.7075e+12  6e+12  2e-16  4e-07\n",
      "11:  2.7124e+09 -7.5157e+10  8e+10  2e-16  6e-09\n",
      "12:  2.3373e+09 -1.6397e+10  2e+10  2e-16  9e-09\n",
      "13:  6.1484e+08 -1.5372e+10  2e+10  2e-16  5e-09\n",
      "14:  2.8807e+08 -1.3473e+09  2e+09  2e-16  5e-10\n",
      "15:  5.2378e+07 -7.2505e+07  1e+08  2e-16  9e-12\n",
      "16:  7.5720e+06 -8.4050e+06  2e+07  2e-16  1e-12\n",
      "17:  1.0874e+06 -1.2113e+06  2e+06  2e-16  3e-13\n",
      "18:  1.5563e+05 -1.7272e+05  3e+05  2e-16  1e-13\n",
      "19:  2.2180e+04 -2.4842e+04  5e+04  2e-16  6e-14\n",
      "20:  3.1293e+03 -3.6066e+03  7e+03  2e-16  3e-14\n",
      "21:  4.2905e+02 -5.3575e+02  1e+03  2e-16  8e-15\n",
      "22:  5.3489e+01 -8.4429e+01  1e+02  1e-16  3e-15\n",
      "23:  3.9500e+00 -1.5488e+01  2e+01  2e-16  1e-15\n",
      "24: -1.6359e+00 -4.1163e+00  2e+00  2e-16  5e-16\n",
      "25: -2.0369e+00 -2.5856e+00  5e-01  2e-16  9e-17\n",
      "26: -2.1284e+00 -2.3996e+00  3e-01  2e-16  1e-16\n",
      "27: -2.1362e+00 -2.1597e+00  2e-02  2e-16  1e-16\n",
      "28: -2.1365e+00 -2.1369e+00  4e-04  2e-16  8e-17\n",
      "29: -2.1365e+00 -2.1365e+00  4e-06  2e-16  1e-16\n",
      "30: -2.1365e+00 -2.1365e+00  4e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  6.6037e+01 -2.0574e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.4601e+02 -3.5636e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.8352e+02 -6.9653e+06  1e+03  1e+00  1e+00\n",
      " 4:  4.5713e+01 -3.0341e+07  6e+03  1e+00  1e+00\n",
      " 5:  9.7948e+01 -2.4289e+08  5e+04  1e+00  1e+00\n",
      " 6:  1.2264e+02 -4.1765e+10  9e+06  1e+00  1e+00\n",
      " 7:  5.6566e+08 -9.6839e+17  1e+18  5e-13  6e-04\n",
      " 8:  5.6566e+08 -9.6839e+15  1e+16  5e-15  3e-04\n",
      " 9:  5.6566e+08 -9.6851e+13  1e+14  2e-16  4e-06\n",
      "10:  5.6562e+08 -9.7992e+11  1e+12  2e-16  5e-08\n",
      "11:  5.6140e+08 -2.1148e+10  2e+10  2e-16  1e-09\n",
      "12:  4.2046e+08 -5.1781e+09  6e+09  2e-16  1e-09\n",
      "13:  1.0777e+08 -5.1377e+08  6e+08  2e-16  3e-12\n",
      "14:  1.9050e+07 -2.7248e+07  5e+07  2e-16  1e-12\n",
      "15:  2.7423e+06 -2.9911e+06  6e+06  1e-16  1e-12\n",
      "16:  3.9319e+05 -4.3776e+05  8e+05  2e-16  3e-13\n",
      "17:  5.6159e+04 -6.2563e+04  1e+05  2e-16  1e-13\n",
      "18:  7.9672e+03 -9.0392e+03  2e+04  2e-16  5e-14\n",
      "19:  1.1100e+03 -1.3261e+03  2e+03  1e-16  2e-14\n",
      "20:  1.4638e+02 -2.0235e+02  3e+02  1e-16  5e-15\n",
      "21:  1.5467e+01 -3.4166e+01  5e+01  2e-16  2e-15\n",
      "22: -6.3895e-01 -7.4216e+00  7e+00  2e-16  4e-16\n",
      "23: -2.0841e+00 -2.7874e+00  7e-01  2e-16  3e-16\n",
      "24: -2.1379e+00 -2.2065e+00  7e-02  2e-16  1e-16\n",
      "25: -2.1413e+00 -2.1448e+00  4e-03  3e-16  8e-17\n",
      "26: -2.1413e+00 -2.1414e+00  5e-05  2e-16  8e-17\n",
      "27: -2.1413e+00 -2.1413e+00  5e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "processing  BPQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.5614e+01 -3.1840e+05  6e+01  1e+00  1e+00\n",
      " 2:  1.5949e+00 -2.1810e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.1715e+01 -1.9768e+08  4e+04  1e+00  1e+00\n",
      " 4:  2.4995e+01 -2.2618e+11  6e+07  1e+00  1e+00\n",
      " 5:  2.5969e+05 -3.5891e+18  4e+18  5e-13  9e-03\n",
      " 6:  2.5969e+05 -3.5891e+16  4e+16  5e-15  2e-03\n",
      " 7:  2.5969e+05 -3.5891e+14  4e+14  3e-16  5e-05\n",
      " 8:  2.5969e+05 -3.5891e+12  4e+12  1e-16  6e-07\n",
      " 9:  2.5968e+05 -3.5891e+10  4e+10  2e-16  5e-09\n",
      "10:  2.5828e+05 -3.5965e+08  4e+08  1e-16  7e-11\n",
      "11:  1.6986e+05 -4.0547e+06  4e+06  3e-16  7e-13\n",
      "12:  2.7163e+04 -6.9612e+04  1e+05  3e-16  4e-14\n",
      "13:  3.9080e+03 -4.4675e+03  8e+03  2e-16  8e-15\n",
      "14:  5.4303e+02 -6.5186e+02  1e+03  1e-16  8e-15\n",
      "15:  7.0221e+01 -1.0059e+02  2e+02  2e-16  9e-15\n",
      "16:  5.9544e+00 -1.8087e+01  2e+01  3e-16  4e-16\n",
      "17: -2.1725e+00 -5.3771e+00  3e+00  2e-16  6e-16\n",
      "18: -3.0630e+00 -3.4703e+00  4e-01  2e-16  2e-16\n",
      "19: -3.1202e+00 -3.1485e+00  3e-02  3e-16  5e-17\n",
      "20: -3.1207e+00 -3.1210e+00  3e-04  3e-16  1e-16\n",
      "21: -3.1207e+00 -3.1207e+00  3e-06  3e-16  2e-16\n",
      "22: -3.1207e+00 -3.1207e+00  3e-08  1e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.3740e+01 -5.0906e+05  1e+02  1e+00  1e+00\n",
      " 2:  2.2767e+01 -2.8258e+06  6e+02  1e+00  1e+00\n",
      " 3:  2.0617e+01 -4.7732e+08  1e+05  1e+00  1e+00\n",
      " 4:  4.1795e+01 -1.2668e+12  4e+08  1e+00  1e+00\n",
      " 5:  2.8060e+05 -1.2314e+19  1e+19  1e-13  2e-02\n",
      " 6:  2.8060e+05 -1.2314e+17  1e+17  1e-15  1e-02\n",
      " 7:  2.8060e+05 -1.2314e+15  1e+15  9e-17  1e-04\n",
      " 8:  2.8060e+05 -1.2314e+13  1e+13  3e-16  1e-06\n",
      " 9:  2.8059e+05 -1.2314e+11  1e+11  2e-16  7e-09\n",
      "10:  2.8013e+05 -1.2321e+09  1e+09  1e-16  1e-10\n",
      "11:  2.4031e+05 -1.2904e+07  1e+07  1e-16  1e-12\n",
      "12:  4.3697e+04 -1.8222e+05  2e+05  2e-16  4e-14\n",
      "13:  6.3571e+03 -7.9940e+03  1e+04  1e-16  2e-14\n",
      "14:  8.8590e+02 -1.0411e+03  2e+03  2e-16  1e-14\n",
      "15:  1.1707e+02 -1.6014e+02  3e+02  2e-16  3e-15\n",
      "16:  1.1928e+01 -2.7266e+01  4e+01  1e-16  5e-16\n",
      "17: -1.4396e+00 -7.0987e+00  6e+00  2e-16  6e-16\n",
      "18: -3.1230e+00 -3.9625e+00  8e-01  2e-16  3e-16\n",
      "19: -3.2479e+00 -3.3112e+00  6e-02  5e-17  9e-17\n",
      "20: -3.2499e+00 -3.2508e+00  9e-04  1e-16  2e-16\n",
      "21: -3.2499e+00 -3.2499e+00  9e-06  2e-16  1e-16\n",
      "22: -3.2499e+00 -3.2499e+00  9e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.6832e+01 -7.0832e+05  1e+02  1e+00  1e+00\n",
      " 2:  6.4356e+01 -1.4118e+06  3e+02  1e+00  1e+00\n",
      " 3:  9.8483e+00 -5.5789e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.8705e+01 -2.5674e+07  5e+03  1e+00  1e+00\n",
      " 5:  2.1868e+01 -5.6058e+08  1e+05  1e+00  1e+00\n",
      " 6:  2.2010e+01 -3.3537e+11  8e+07  1e+00  1e+00\n",
      " 7:  4.7810e+08 -6.5890e+18  7e+18  6e-13  1e-02\n",
      " 8:  4.7810e+08 -6.5890e+16  7e+16  6e-15  2e-03\n",
      " 9:  4.7810e+08 -6.5891e+14  7e+14  2e-16  4e-05\n",
      "10:  4.7810e+08 -6.5919e+12  7e+12  4e-17  6e-07\n",
      "11:  4.7790e+08 -6.8802e+10  7e+10  2e-16  1e-08\n",
      "12:  4.5904e+08 -3.4564e+09  4e+09  9e-17  3e-08\n",
      "13:  5.5152e+07 -1.2030e+09  1e+09  2e-16  3e-09\n",
      "14:  1.7061e+07 -3.7935e+07  5e+07  2e-16  1e-10\n",
      "15:  2.6530e+06 -3.0022e+06  6e+06  2e-16  2e-12\n",
      "16:  3.8051e+05 -4.2351e+05  8e+05  1e-16  9e-14\n",
      "17:  5.4335e+04 -6.0713e+04  1e+05  2e-16  1e-13\n",
      "18:  7.6959e+03 -8.7785e+03  2e+04  1e-16  3e-14\n",
      "19:  1.0669e+03 -1.2928e+03  2e+03  2e-16  6e-15\n",
      "20:  1.3824e+02 -1.9936e+02  3e+02  1e-16  4e-15\n",
      "21:  1.3239e+01 -3.4636e+01  5e+01  2e-16  1e-15\n",
      "22: -1.7707e+00 -8.1417e+00  6e+00  3e-16  1e-15\n",
      "23: -3.1147e+00 -4.1410e+00  1e+00  2e-16  3e-16\n",
      "24: -3.3053e+00 -3.4243e+00  1e-01  2e-16  1e-16\n",
      "25: -3.3115e+00 -3.3162e+00  5e-03  2e-16  1e-16\n",
      "26: -3.3115e+00 -3.3116e+00  5e-05  3e-16  1e-16\n",
      "27: -3.3115e+00 -3.3115e+00  5e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  6.6411e+01 -1.1727e+06  2e+02  1e+00  1e+00\n",
      " 2:  5.6632e+01 -2.1779e+06  4e+02  1e+00  1e+00\n",
      " 3:  4.3013e+01 -1.0846e+07  2e+03  1e+00  1e+00\n",
      " 4:  7.6519e+01 -1.6169e+08  3e+04  1e+00  1e+00\n",
      " 5:  3.1720e+01 -4.3402e+11  1e+08  1e+00  1e+00\n",
      " 6:  2.0935e+09 -4.5277e+18  5e+18  9e-14  2e-03\n",
      " 7:  2.0935e+09 -4.5277e+16  5e+16  7e-16  3e-03\n",
      " 8:  2.0935e+09 -4.5278e+14  5e+14  2e-16  4e-05\n",
      " 9:  2.0935e+09 -4.5363e+12  5e+12  2e-16  3e-07\n",
      "10:  2.0929e+09 -5.3831e+10  6e+10  2e-16  5e-09\n",
      "11:  2.0442e+09 -8.8555e+09  1e+10  2e-16  9e-10\n",
      "12:  4.2656e+08 -1.2120e+10  1e+10  1e-16  8e-10\n",
      "13:  2.5933e+08 -1.1271e+09  1e+09  1e-16  9e-11\n",
      "14:  4.1935e+07 -6.9439e+07  1e+08  1e-16  2e-12\n",
      "15:  6.2355e+06 -6.8645e+06  1e+07  2e-16  1e-12\n",
      "16:  8.9665e+05 -1.0092e+06  2e+06  3e-16  4e-13\n",
      "17:  1.2831e+05 -1.4294e+05  3e+05  2e-16  1e-13\n",
      "18:  1.8257e+04 -2.0582e+04  4e+04  2e-16  4e-14\n",
      "19:  2.5620e+03 -3.0007e+03  6e+03  2e-16  2e-14\n",
      "20:  3.4534e+02 -4.5115e+02  8e+02  3e-16  4e-15\n",
      "21:  4.0124e+01 -7.3476e+01  1e+02  2e-16  2e-15\n",
      "22:  1.0084e+00 -1.4754e+01  2e+01  2e-16  7e-16\n",
      "23: -3.0622e+00 -4.8978e+00  2e+00  1e-16  1e-16\n",
      "24: -3.3205e+00 -3.5365e+00  2e-01  2e-16  2e-16\n",
      "25: -3.3334e+00 -3.3403e+00  7e-03  2e-16  9e-17\n",
      "26: -3.3335e+00 -3.3336e+00  7e-05  1e-16  1e-16\n",
      "27: -3.3335e+00 -3.3335e+00  7e-07  1e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  7.2987e+01 -1.4841e+06  3e+02  1e+00  1e+00\n",
      " 2:  9.9693e+01 -2.6227e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.7730e+01 -1.3186e+07  3e+03  1e+00  1e+00\n",
      " 4:  4.5630e+01 -8.8193e+07  2e+04  1e+00  1e+00\n",
      " 5:  5.9928e+01 -7.8164e+09  2e+06  1e+00  1e+00\n",
      " 6:  4.3515e+08 -1.8730e+17  2e+17  3e-13  5e-05\n",
      " 7:  4.3515e+08 -1.8730e+15  2e+15  3e-15  7e-05\n",
      " 8:  4.3515e+08 -1.8735e+13  2e+13  1e-16  1e-06\n",
      " 9:  4.3499e+08 -1.9155e+11  2e+11  2e-16  1e-08\n",
      "10:  4.2008e+08 -5.9750e+09  6e+09  2e-16  4e-10\n",
      "11:  1.0679e+08 -7.0548e+08  8e+08  1e-16  3e-10\n",
      "12:  2.2779e+07 -4.0740e+07  6e+07  2e-16  1e-11\n",
      "13:  3.3061e+06 -3.5941e+06  7e+06  2e-16  4e-13\n",
      "14:  4.7484e+05 -5.3245e+05  1e+06  2e-16  1e-13\n",
      "15:  6.7870e+04 -7.5673e+04  1e+05  2e-16  1e-13\n",
      "16:  9.6368e+03 -1.0919e+04  2e+04  2e-16  2e-14\n",
      "17:  1.3449e+03 -1.5991e+03  3e+03  1e-16  2e-14\n",
      "18:  1.7801e+02 -2.4328e+02  4e+02  2e-16  4e-15\n",
      "19:  1.8870e+01 -4.0969e+01  6e+01  2e-16  1e-15\n",
      "20: -1.0455e+00 -9.1176e+00  8e+00  2e-16  7e-16\n",
      "21: -3.1143e+00 -4.0540e+00  9e-01  2e-16  2e-16\n",
      "22: -3.3097e+00 -3.4720e+00  2e-01  1e-16  7e-17\n",
      "23: -3.3432e+00 -3.3680e+00  2e-02  2e-16  5e-17\n",
      "24: -3.3459e+00 -3.3474e+00  1e-03  1e-16  1e-16\n",
      "25: -3.3460e+00 -3.3460e+00  2e-05  1e-16  1e-16\n",
      "26: -3.3460e+00 -3.3460e+00  2e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.2913e+01 -1.8490e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.3756e+02 -3.0812e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.3163e+01 -1.0319e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.2696e+01 -3.8672e+07  8e+03  1e+00  1e+00\n",
      " 5:  6.8552e+01 -5.8279e+08  1e+05  1e+00  1e+00\n",
      " 6:  7.3452e+01 -2.6981e+11  6e+07  1e+00  1e+00\n",
      " 7:  5.4255e+08 -5.5832e+18  6e+18  4e-13  1e-03\n",
      " 8:  5.4255e+08 -5.5832e+16  6e+16  5e-15  1e-03\n",
      " 9:  5.4255e+08 -5.5832e+14  6e+14  1e-16  2e-05\n",
      "10:  5.4254e+08 -5.5885e+12  6e+12  3e-16  3e-07\n",
      "11:  5.4188e+08 -6.1145e+10  6e+10  1e-16  4e-09\n",
      "12:  4.8896e+08 -5.3904e+09  6e+09  1e-16  5e-08\n",
      "13:  1.1820e+08 -1.3460e+09  1e+09  1e-16  4e-10\n",
      "14:  2.6885e+07 -4.6210e+07  7e+07  2e-16  1e-11\n",
      "15:  4.0200e+06 -4.4312e+06  8e+06  2e-16  9e-13\n",
      "16:  5.7660e+05 -6.4169e+05  1e+06  1e-16  3e-13\n",
      "17:  8.2402e+04 -9.1715e+04  2e+05  2e-16  3e-14\n",
      "18:  1.1704e+04 -1.3236e+04  2e+04  2e-16  4e-14\n",
      "19:  1.6356e+03 -1.9369e+03  4e+03  2e-16  2e-14\n",
      "20:  2.1761e+02 -2.9377e+02  5e+02  2e-16  7e-15\n",
      "21:  2.3815e+01 -4.8955e+01  7e+01  1e-16  2e-15\n",
      "22: -5.3990e-01 -1.0467e+01  1e+01  2e-16  7e-16\n",
      "23: -2.9381e+00 -4.8445e+00  2e+00  2e-16  3e-16\n",
      "24: -3.3460e+00 -3.6188e+00  3e-01  1e-16  1e-16\n",
      "25: -3.3657e+00 -3.3864e+00  2e-02  1e-16  7e-17\n",
      "26: -3.3669e+00 -3.3676e+00  7e-04  2e-16  8e-17\n",
      "27: -3.3669e+00 -3.3669e+00  7e-06  1e-16  9e-17\n",
      "28: -3.3669e+00 -3.3669e+00  7e-08  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  8.6784e+01 -2.1789e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.6460e+02 -3.5826e+06  7e+02  1e+00  1e+00\n",
      " 3:  8.2061e+01 -9.0457e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.7859e+02 -6.8277e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.2260e+01 -1.9263e+10  4e+06  1e+00  1e+00\n",
      " 6:  5.3387e+01 -5.9232e+13  2e+10  1e+00  1e+00\n",
      " 7:  3.0449e+09 -4.8257e+20  5e+20  3e-13  2e-01\n",
      " 8:  3.0449e+09 -4.8257e+18  5e+18  3e-15  2e-01\n",
      " 9:  3.0449e+09 -4.8257e+16  5e+16  1e-16  3e-03\n",
      "10:  3.0449e+09 -4.8258e+14  5e+14  2e-16  3e-05\n",
      "11:  3.0448e+09 -4.8403e+12  5e+12  2e-16  3e-07\n",
      "12:  3.0360e+09 -6.2903e+10  7e+10  2e-16  4e-09\n",
      "13:  2.5646e+09 -1.4250e+10  2e+10  2e-16  9e-10\n",
      "14:  1.3195e+09 -1.5846e+10  2e+10  2e-16  8e-10\n",
      "15:  5.2638e+08 -1.8969e+09  2e+09  1e-16  8e-11\n",
      "16:  8.8711e+07 -1.2262e+08  2e+08  2e-16  2e-12\n",
      "17:  1.2934e+07 -1.4523e+07  3e+07  1e-16  1e-12\n",
      "18:  1.8598e+06 -2.0790e+06  4e+06  1e-16  5e-13\n",
      "19:  2.6643e+05 -2.9562e+05  6e+05  2e-16  1e-13\n",
      "20:  3.8030e+04 -4.2438e+04  8e+04  1e-16  7e-14\n",
      "21:  5.3854e+03 -6.1405e+03  1e+04  2e-16  3e-14\n",
      "22:  7.4599e+02 -9.0488e+02  2e+03  2e-16  8e-15\n",
      "23:  9.6129e+01 -1.3989e+02  2e+02  2e-16  4e-15\n",
      "24:  8.5951e+00 -2.4698e+01  3e+01  2e-16  2e-15\n",
      "25: -2.1226e+00 -6.4370e+00  4e+00  1e-16  3e-16\n",
      "26: -3.2909e+00 -3.9396e+00  6e-01  2e-16  2e-16\n",
      "27: -3.3714e+00 -3.4378e+00  7e-02  2e-16  1e-16\n",
      "28: -3.3750e+00 -3.3794e+00  4e-03  2e-16  9e-17\n",
      "29: -3.3750e+00 -3.3751e+00  5e-05  1e-16  9e-17\n",
      "30: -3.3750e+00 -3.3750e+00  5e-07  3e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.7675e+01 -2.5996e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.0185e+02 -4.3896e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.1060e+01 -2.7007e+07  5e+03  1e+00  1e+00\n",
      " 4:  2.5684e+01 -9.2063e+07  2e+04  1e+00  1e+00\n",
      " 5:  4.5152e+01 -8.4031e+08  2e+05  1e+00  1e+00\n",
      " 6:  7.1542e+01 -8.2418e+10  2e+07  1e+00  1e+00\n",
      " 7:  1.7142e+09 -1.9615e+18  2e+18  4e-13  1e-03\n",
      " 8:  1.7142e+09 -1.9615e+16  2e+16  4e-15  6e-04\n",
      " 9:  1.7142e+09 -1.9616e+14  2e+14  2e-16  9e-06\n",
      "10:  1.7140e+09 -1.9722e+12  2e+12  1e-16  1e-07\n",
      "11:  1.6988e+09 -3.0300e+10  3e+10  2e-16  2e-09\n",
      "12:  1.2463e+09 -8.8903e+09  1e+10  2e-16  8e-07\n",
      "13:  4.1752e+08 -5.2627e+09  6e+09  4e-16  2e-07\n",
      "14:  1.0785e+08 -2.4183e+08  3e+08  2e-16  6e-09\n",
      "15:  1.6201e+07 -1.7952e+07  3e+07  2e-16  5e-11\n",
      "16:  2.3275e+06 -2.5988e+06  5e+06  2e-16  6e-13\n",
      "17:  3.3331e+05 -3.6960e+05  7e+05  2e-16  2e-13\n",
      "18:  4.7560e+04 -5.3101e+04  1e+05  1e-16  7e-14\n",
      "19:  6.7305e+03 -7.6886e+03  1e+04  2e-16  2e-14\n",
      "20:  9.3104e+02 -1.1344e+03  2e+03  1e-16  1e-14\n",
      "21:  1.1976e+02 -1.7570e+02  3e+02  2e-16  3e-15\n",
      "22:  1.0934e+01 -3.0891e+01  4e+01  2e-16  2e-15\n",
      "23: -2.0183e+00 -7.5153e+00  5e+00  2e-16  5e-16\n",
      "24: -3.1735e+00 -4.3329e+00  1e+00  2e-16  2e-16\n",
      "25: -3.3718e+00 -3.5255e+00  2e-01  2e-16  1e-16\n",
      "26: -3.3809e+00 -3.3892e+00  8e-03  2e-16  8e-17\n",
      "27: -3.3810e+00 -3.3812e+00  2e-04  3e-16  1e-16\n",
      "28: -3.3810e+00 -3.3810e+00  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  9.8123e+01 -2.9017e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.4107e+02 -5.2582e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.8753e+02 -1.1497e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.1683e+01 -3.8040e+08  8e+04  1e+00  1e+00\n",
      " 5:  9.0449e+01 -1.5602e+10  3e+06  1e+00  1e+00\n",
      " 6:  6.3061e+01 -7.4582e+13  3e+10  1e+00  1e+00\n",
      " 7:  1.6141e+09 -4.6304e+20  5e+20  3e-13  3e-01\n",
      " 8:  1.6141e+09 -4.6304e+18  5e+18  3e-15  1e-01\n",
      " 9:  1.6141e+09 -4.6304e+16  5e+16  1e-16  2e-03\n",
      "10:  1.6141e+09 -4.6306e+14  5e+14  1e-16  3e-05\n",
      "11:  1.6141e+09 -4.6502e+12  5e+12  2e-16  3e-07\n",
      "12:  1.6079e+09 -6.6078e+10  7e+10  2e-16  4e-09\n",
      "13:  1.3456e+09 -1.7224e+10  2e+10  2e-16  6e-08\n",
      "14:  5.7742e+08 -1.4050e+10  1e+10  2e-16  3e-08\n",
      "15:  2.2433e+08 -1.0222e+09  1e+09  2e-16  2e-09\n",
      "16:  3.8205e+07 -5.0323e+07  9e+07  2e-16  4e-11\n",
      "17:  5.5052e+06 -6.1072e+06  1e+07  2e-16  1e-12\n",
      "18:  7.8979e+05 -8.7865e+05  2e+06  2e-16  5e-13\n",
      "19:  1.1291e+05 -1.2557e+05  2e+05  2e-16  5e-14\n",
      "20:  1.6054e+04 -1.8101e+04  3e+04  1e-16  5e-14\n",
      "21:  2.2502e+03 -2.6425e+03  5e+03  2e-16  1e-14\n",
      "22:  3.0235e+02 -3.9819e+02  7e+02  2e-16  7e-15\n",
      "23:  3.4677e+01 -6.5185e+01  1e+02  3e-16  2e-15\n",
      "24:  5.4138e-01 -1.3252e+01  1e+01  3e-16  7e-16\n",
      "25: -3.0164e+00 -4.7098e+00  2e+00  2e-16  3e-16\n",
      "26: -3.3675e+00 -3.5993e+00  2e-01  2e-16  1e-16\n",
      "27: -3.3844e+00 -3.4163e+00  3e-02  2e-16  7e-17\n",
      "28: -3.3851e+00 -3.3865e+00  1e-03  2e-16  8e-17\n",
      "29: -3.3851e+00 -3.3851e+00  1e-05  1e-16  5e-17\n",
      "30: -3.3851e+00 -3.3851e+00  1e-07  2e-16  9e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  CDQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  5.4380e+01 -5.9480e+05  1e+02  1e+00  1e+00\n",
      " 2: -4.6247e-01 -2.0909e+06  5e+02  1e+00  1e+00\n",
      " 3:  9.9212e+00 -4.2860e+07  9e+03  1e+00  1e+00\n",
      " 4:  2.7422e+01 -3.8400e+09  8e+05  1e+00  1e+00\n",
      " 5:  8.2314e+07 -9.1711e+16  9e+16  6e-13  2e-05\n",
      " 6:  8.2314e+07 -9.1711e+14  9e+14  6e-15  2e-05\n",
      " 7:  8.2314e+07 -9.1713e+12  9e+12  1e-16  2e-07\n",
      " 8:  8.2289e+07 -9.1959e+10  9e+10  2e-16  4e-09\n",
      " 9:  7.9883e+07 -1.1575e+09  1e+09  2e-16  8e-11\n",
      "10:  2.5521e+07 -6.8817e+07  9e+07  7e-17  3e-12\n",
      "11:  3.7596e+06 -4.3492e+06  8e+06  8e-17  3e-13\n",
      "12:  5.4009e+05 -6.0883e+05  1e+06  2e-16  8e-14\n",
      "13:  7.7078e+04 -8.6745e+04  2e+05  2e-16  6e-14\n",
      "14:  1.0878e+04 -1.2568e+04  2e+04  2e-16  7e-15\n",
      "15:  1.4907e+03 -1.8662e+03  3e+03  1e-16  6e-15\n",
      "16:  1.8550e+02 -2.9435e+02  5e+02  1e-16  2e-15\n",
      "17:  1.3580e+01 -5.4085e+01  7e+01  2e-16  1e-15\n",
      "18: -5.6187e+00 -1.4299e+01  9e+00  3e-17  2e-16\n",
      "19: -6.8532e+00 -7.6986e+00  8e-01  1e-16  3e-16\n",
      "20: -6.9081e+00 -7.0098e+00  1e-01  2e-16  4e-17\n",
      "21: -6.9087e+00 -6.9099e+00  1e-03  2e-16  8e-17\n",
      "22: -6.9087e+00 -6.9087e+00  1e-05  1e-16  1e-16\n",
      "23: -6.9087e+00 -6.9087e+00  1e-07  1e-16  2e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  6.2936e+01 -9.0373e+05  2e+02  1e+00  1e+00\n",
      " 2:  6.0998e+01 -1.5613e+06  3e+02  1e+00  1e+00\n",
      " 3:  4.9090e+00 -2.1900e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.3503e+01 -2.8912e+08  6e+04  1e+00  1e+00\n",
      " 5:  1.5151e+01 -5.9076e+10  1e+07  1e+00  1e+00\n",
      " 6:  7.7427e+08 -1.3433e+18  1e+18  9e-13  1e-03\n",
      " 7:  7.7427e+08 -1.3433e+16  1e+16  9e-15  5e-04\n",
      " 8:  7.7427e+08 -1.3434e+14  1e+14  2e-16  4e-06\n",
      " 9:  7.7426e+08 -1.3471e+12  1e+12  2e-16  3e-08\n",
      "10:  7.7345e+08 -1.7228e+10  2e+10  1e-16  4e-10\n",
      "11:  7.1200e+08 -3.6084e+09  4e+09  2e-16  1e-09\n",
      "12:  3.6195e+07 -4.1086e+09  4e+09  7e-17  7e-10\n",
      "13:  1.8836e+07 -1.0329e+08  1e+08  1e-16  2e-11\n",
      "14:  3.0097e+06 -4.3734e+06  7e+06  9e-17  3e-13\n",
      "15:  4.3024e+05 -4.6966e+05  9e+05  9e-17  7e-14\n",
      "16:  6.1428e+04 -6.8972e+04  1e+05  1e-16  8e-14\n",
      "17:  8.6847e+03 -9.9593e+03  2e+04  1e-16  4e-15\n",
      "18:  1.1970e+03 -1.4731e+03  3e+03  2e-16  6e-15\n",
      "19:  1.5172e+02 -2.2985e+02  4e+02  1e-16  5e-15\n",
      "20:  1.2334e+01 -4.1365e+01  5e+01  2e-16  1e-15\n",
      "21: -4.1243e+00 -1.1398e+01  7e+00  2e-16  3e-16\n",
      "22: -6.6247e+00 -8.7772e+00  2e+00  4e-16  1e-16\n",
      "23: -6.8941e+00 -7.0730e+00  2e-01  1e-16  1e-17\n",
      "24: -6.9227e+00 -6.9391e+00  2e-02  3e-16  9e-17\n",
      "25: -6.9246e+00 -6.9255e+00  9e-04  3e-16  5e-17\n",
      "26: -6.9246e+00 -6.9246e+00  1e-05  2e-17  8e-17\n",
      "27: -6.9246e+00 -6.9246e+00  1e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  9.3742e+01 -1.5229e+06  3e+02  1e+00  1e+00\n",
      " 2:  8.9321e+01 -2.3950e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.3689e+01 -7.2656e+07  1e+04  1e+00  1e+00\n",
      " 4:  9.1421e+00 -1.5860e+09  3e+05  1e+00  1e+00\n",
      " 5:  1.5862e+01 -5.9609e+11  1e+08  1e+00  1e+00\n",
      " 6:  2.2216e+09 -1.2545e+19  1e+19  5e-13  7e-03\n",
      " 7:  2.2216e+09 -1.2545e+17  1e+17  5e-15  4e-03\n",
      " 8:  2.2216e+09 -1.2545e+15  1e+15  2e-16  5e-05\n",
      " 9:  2.2216e+09 -1.2551e+13  1e+13  2e-16  4e-07\n",
      "10:  2.2202e+09 -1.3127e+11  1e+11  1e-16  5e-09\n",
      "11:  2.1000e+09 -6.9665e+09  9e+09  2e-16  3e-10\n",
      "12:  3.7404e+08 -7.3886e+09  8e+09  2e-16  1e-09\n",
      "13:  1.4801e+08 -5.8676e+08  7e+08  1e-16  9e-11\n",
      "14:  2.3482e+07 -3.0294e+07  5e+07  2e-16  5e-13\n",
      "15:  3.3872e+06 -3.8011e+06  7e+06  2e-16  2e-13\n",
      "16:  4.8568e+05 -5.4242e+05  1e+06  3e-16  2e-13\n",
      "17:  6.9270e+04 -7.7691e+04  1e+05  1e-16  8e-14\n",
      "18:  9.7797e+03 -1.1264e+04  2e+04  9e-17  2e-14\n",
      "19:  1.3428e+03 -1.6709e+03  3e+03  3e-16  2e-14\n",
      "20:  1.6816e+02 -2.6262e+02  4e+02  1e-16  3e-15\n",
      "21:  1.2735e+01 -4.7944e+01  6e+01  1e-16  2e-15\n",
      "22: -5.0568e+00 -1.2744e+01  8e+00  3e-16  2e-16\n",
      "23: -6.6427e+00 -7.5385e+00  9e-01  4e-16  1e-16\n",
      "24: -6.8921e+00 -7.0033e+00  1e-01  3e-17  9e-17\n",
      "25: -6.9219e+00 -6.9391e+00  2e-02  1e-16  1e-16\n",
      "26: -6.9259e+00 -6.9284e+00  3e-03  2e-16  1e-16\n",
      "27: -6.9261e+00 -6.9263e+00  1e-04  3e-16  1e-16\n",
      "28: -6.9261e+00 -6.9261e+00  2e-06  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  9.8916e+01 -1.9654e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.5654e+02 -3.0121e+06  6e+02  1e+00  1e+00\n",
      " 3: -4.5193e-01 -1.8448e+07  4e+03  1e+00  1e+00\n",
      " 4:  7.9312e+00 -8.7598e+07  2e+04  1e+00  1e+00\n",
      " 5:  2.5670e+01 -1.6746e+09  3e+05  1e+00  1e+00\n",
      " 6:  2.9037e+01 -6.6626e+11  1e+08  1e+00  1e+00\n",
      " 7:  1.8775e+09 -1.4053e+19  1e+19  5e-13  5e-03\n",
      " 8:  1.8775e+09 -1.4053e+17  1e+17  5e-15  3e-03\n",
      " 9:  1.8775e+09 -1.4054e+15  1e+15  3e-16  5e-05\n",
      "10:  1.8775e+09 -1.4062e+13  1e+13  1e-16  6e-07\n",
      "11:  1.8765e+09 -1.4906e+11  2e+11  2e-16  7e-09\n",
      "12:  1.7884e+09 -9.4108e+09  1e+10  2e-16  1e-09\n",
      "13:  6.0845e+07 -5.3451e+09  5e+09  3e-16  1e-09\n",
      "14:  2.3154e+07 -1.1571e+08  1e+08  2e-16  3e-11\n",
      "15:  3.6345e+06 -4.9275e+06  9e+06  3e-16  5e-13\n",
      "16:  5.1920e+05 -5.6700e+05  1e+06  1e-16  2e-13\n",
      "17:  7.4042e+04 -8.3137e+04  2e+05  2e-16  7e-14\n",
      "18:  1.0448e+04 -1.2040e+04  2e+04  9e-17  2e-14\n",
      "19:  1.4331e+03 -1.7881e+03  3e+03  9e-17  1e-14\n",
      "20:  1.7898e+02 -2.8154e+02  5e+02  3e-16  1e-15\n",
      "21:  1.3421e+01 -5.1519e+01  6e+01  2e-16  2e-15\n",
      "22: -5.2723e+00 -1.3580e+01  8e+00  1e-16  5e-16\n",
      "23: -6.6663e+00 -7.6619e+00  1e+00  3e-16  2e-16\n",
      "24: -6.9100e+00 -7.0951e+00  2e-01  3e-16  2e-16\n",
      "25: -6.9284e+00 -6.9455e+00  2e-02  2e-16  4e-17\n",
      "26: -6.9299e+00 -6.9307e+00  8e-04  1e-16  1e-16\n",
      "27: -6.9299e+00 -6.9299e+00  1e-05  2e-16  1e-16\n",
      "28: -6.9299e+00 -6.9299e+00  1e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.0214e+02 -2.3186e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.7784e+02 -3.5514e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.8214e+02 -6.7373e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.1192e+01 -7.8590e+07  2e+04  1e+00  1e+00\n",
      " 5:  4.3649e+01 -8.8154e+08  2e+05  1e+00  1e+00\n",
      " 6:  7.4550e+01 -1.5852e+11  3e+07  1e+00  1e+00\n",
      " 7:  1.2651e+09 -3.6416e+18  4e+18  6e-13  1e-03\n",
      " 8:  1.2651e+09 -3.6416e+16  4e+16  5e-15  1e-03\n",
      " 9:  1.2651e+09 -3.6417e+14  4e+14  2e-16  1e-05\n",
      "10:  1.2651e+09 -3.6533e+12  4e+12  2e-16  1e-07\n",
      "11:  1.2619e+09 -4.8052e+10  5e+10  1e-16  2e-09\n",
      "12:  1.1186e+09 -1.0935e+10  1e+10  2e-16  9e-09\n",
      "13:  2.4190e+08 -1.1101e+10  1e+10  2e-16  6e-09\n",
      "14:  1.0496e+08 -4.0321e+08  5e+08  3e-16  2e-10\n",
      "15:  1.6905e+07 -2.1755e+07  4e+07  3e-16  5e-12\n",
      "16:  2.4259e+06 -2.6733e+06  5e+06  2e-16  2e-13\n",
      "17:  3.4740e+05 -3.8646e+05  7e+05  1e-16  1e-13\n",
      "18:  4.9520e+04 -5.5462e+04  1e+05  2e-16  6e-14\n",
      "19:  6.9874e+03 -8.0506e+03  2e+04  2e-16  1e-14\n",
      "20:  9.5791e+02 -1.1956e+03  2e+03  2e-16  7e-15\n",
      "21:  1.1901e+02 -1.8856e+02  3e+02  2e-16  3e-15\n",
      "22:  8.1203e+00 -3.4938e+01  4e+01  2e-16  8e-16\n",
      "23: -4.8650e+00 -1.0272e+01  5e+00  2e-16  2e-16\n",
      "24: -6.6876e+00 -7.8119e+00  1e+00  2e-16  1e-16\n",
      "25: -6.8979e+00 -7.0345e+00  1e-01  2e-16  1e-16\n",
      "26: -6.9284e+00 -6.9477e+00  2e-02  1e-16  6e-17\n",
      "27: -6.9304e+00 -6.9317e+00  1e-03  2e-16  7e-17\n",
      "28: -6.9305e+00 -6.9305e+00  5e-05  2e-16  5e-17\n",
      "29: -6.9305e+00 -6.9305e+00  6e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.0439e+02 -2.7462e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.1770e+02 -4.5091e+06  8e+02  1e+00  1e+00\n",
      " 3:  2.8539e+02 -7.6599e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.2089e+01 -3.8363e+07  8e+03  1e+00  1e+00\n",
      " 5:  6.8471e+01 -2.0324e+08  4e+04  1e+00  1e+00\n",
      " 6:  1.3317e+02 -8.0201e+09  2e+06  1e+00  1e+00\n",
      " 7:  2.9576e+03 -4.7920e+14  1e+12  1e+00  1e+00\n",
      " 8:  7.1925e+08 -6.7881e+19  7e+19  2e-14  1e-02\n",
      " 9:  7.1925e+08 -6.7881e+17  7e+17  3e-16  7e-03\n",
      "10:  7.1925e+08 -6.7881e+15  7e+15  2e-16  1e-04\n",
      "11:  7.1925e+08 -6.7890e+13  7e+13  2e-16  2e-06\n",
      "12:  7.1916e+08 -6.8823e+11  7e+11  2e-16  2e-08\n",
      "13:  7.1026e+08 -1.6104e+10  2e+10  2e-16  6e-10\n",
      "14:  3.3543e+08 -1.8104e+09  2e+09  1e-16  2e-08\n",
      "15:  5.7936e+07 -8.3502e+07  1e+08  2e-16  1e-12\n",
      "16:  8.4595e+06 -9.4804e+06  2e+07  2e-16  7e-13\n",
      "17:  1.2154e+06 -1.3639e+06  3e+06  2e-16  4e-13\n",
      "18:  1.7379e+05 -1.9393e+05  4e+05  3e-16  1e-13\n",
      "19:  2.4687e+04 -2.7951e+04  5e+04  2e-16  7e-14\n",
      "20:  3.4499e+03 -4.0888e+03  8e+03  1e-16  1e-14\n",
      "21:  4.5911e+02 -6.2002e+02  1e+03  2e-16  5e-15\n",
      "22:  5.0537e+01 -1.0313e+02  2e+02  3e-16  2e-15\n",
      "23: -6.6525e-01 -2.1719e+01  2e+01  2e-16  5e-16\n",
      "24: -5.5675e+00 -9.5518e+00  4e+00  2e-16  2e-16\n",
      "25: -6.7950e+00 -8.1166e+00  1e+00  2e-16  2e-16\n",
      "26: -6.9216e+00 -7.0283e+00  1e-01  3e-16  1e-16\n",
      "27: -6.9304e+00 -6.9359e+00  5e-03  2e-16  1e-16\n",
      "28: -6.9309e+00 -6.9313e+00  5e-04  2e-16  1e-16\n",
      "29: -6.9309e+00 -6.9309e+00  8e-06  1e-16  1e-16\n",
      "30: -6.9309e+00 -6.9309e+00  8e-08  3e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.1294e+02 -3.1631e+06  5e+02  1e+00  1e+00\n",
      " 2:  2.9920e+02 -5.9821e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.3951e+02 -9.4780e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.3590e+01 -2.1266e+08  4e+04  1e+00  1e+00\n",
      " 5:  5.9501e+01 -3.3025e+09  7e+05  1e+00  1e+00\n",
      " 6:  1.2962e+02 -1.3293e+12  3e+08  1e+00  1e+00\n",
      " 7:  2.0316e+09 -2.7858e+19  3e+19  4e-13  6e-03\n",
      " 8:  2.0316e+09 -2.7858e+17  3e+17  4e-15  5e-03\n",
      " 9:  2.0316e+09 -2.7858e+15  3e+15  2e-16  6e-05\n",
      "10:  2.0316e+09 -2.7879e+13  3e+13  1e-16  8e-07\n",
      "11:  2.0299e+09 -2.9892e+11  3e+11  2e-16  1e-08\n",
      "12:  1.8945e+09 -2.2342e+10  2e+10  2e-16  9e-10\n",
      "13:  6.7171e+08 -1.9081e+10  2e+10  2e-16  2e-09\n",
      "14:  2.7901e+08 -9.0050e+08  1e+09  2e-16  9e-11\n",
      "15:  4.5445e+07 -5.5863e+07  1e+08  2e-16  2e-12\n",
      "16:  6.5349e+06 -7.2549e+06  1e+07  3e-16  5e-13\n",
      "17:  9.3674e+05 -1.0403e+06  2e+06  3e-16  3e-13\n",
      "18:  1.3380e+05 -1.4905e+05  3e+05  2e-16  1e-13\n",
      "19:  1.8984e+04 -2.1530e+04  4e+04  2e-16  4e-14\n",
      "20:  2.6455e+03 -3.1582e+03  6e+03  2e-16  1e-14\n",
      "21:  3.4878e+02 -4.8182e+02  8e+02  2e-16  6e-15\n",
      "22:  3.6508e+01 -8.1502e+01  1e+02  2e-16  1e-15\n",
      "23: -2.1824e+00 -1.8075e+01  2e+01  2e-16  8e-16\n",
      "24: -6.0088e+00 -8.6492e+00  3e+00  2e-16  2e-16\n",
      "25: -6.8219e+00 -7.4225e+00  6e-01  2e-16  1e-16\n",
      "26: -6.9083e+00 -7.0310e+00  1e-01  2e-16  9e-17\n",
      "27: -6.9287e+00 -6.9430e+00  1e-02  2e-16  7e-17\n",
      "28: -6.9309e+00 -6.9347e+00  4e-03  2e-16  6e-17\n",
      "29: -6.9310e+00 -6.9312e+00  1e-04  2e-16  9e-17\n",
      "30: -6.9310e+00 -6.9310e+00  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.1471e+02 -3.6040e+06  5e+02  1e+00  1e+00\n",
      " 2:  3.7456e+02 -7.5258e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.1373e+02 -1.1438e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.8778e+01 -1.5289e+08  3e+04  1e+00  1e+00\n",
      " 5:  8.3214e+01 -1.5714e+09  3e+05  1e+00  1e+00\n",
      " 6:  1.3973e+02 -2.0549e+11  4e+07  1e+00  1e+00\n",
      " 7:  2.8891e+09 -4.8093e+18  5e+18  5e-13  2e-03\n",
      " 8:  2.8891e+09 -4.8093e+16  5e+16  5e-15  7e-04\n",
      " 9:  2.8891e+09 -4.8096e+14  5e+14  1e-16  1e-05\n",
      "10:  2.8889e+09 -4.8339e+12  5e+12  2e-16  2e-07\n",
      "11:  2.8720e+09 -7.2574e+10  8e+10  1e-16  2e-09\n",
      "12:  2.2603e+09 -2.0396e+10  2e+10  1e-16  1e-09\n",
      "13:  9.0774e+08 -1.6357e+10  2e+10  4e-16  6e-10\n",
      "14:  3.1580e+08 -1.2180e+09  2e+09  2e-16  4e-11\n",
      "15:  5.1944e+07 -6.5542e+07  1e+08  1e-16  2e-12\n",
      "16:  7.4821e+06 -8.3426e+06  2e+07  2e-16  6e-13\n",
      "17:  1.0731e+06 -1.1936e+06  2e+06  1e-16  3e-13\n",
      "18:  1.5335e+05 -1.7077e+05  3e+05  2e-16  1e-13\n",
      "19:  2.1777e+04 -2.4641e+04  5e+04  2e-16  3e-14\n",
      "20:  3.0421e+03 -3.6070e+03  7e+03  2e-16  2e-14\n",
      "21:  4.0430e+02 -5.4745e+02  1e+03  3e-16  4e-15\n",
      "22:  4.4068e+01 -9.1335e+01  1e+02  2e-16  1e-15\n",
      "23: -1.1398e+00 -1.9538e+01  2e+01  2e-16  6e-16\n",
      "24: -5.7204e+00 -9.0842e+00  3e+00  2e-16  2e-16\n",
      "25: -6.7850e+00 -7.5321e+00  7e-01  2e-16  1e-16\n",
      "26: -6.9015e+00 -7.0479e+00  1e-01  2e-16  7e-17\n",
      "27: -6.9284e+00 -6.9482e+00  2e-02  2e-16  2e-16\n",
      "28: -6.9308e+00 -6.9352e+00  4e-03  2e-16  1e-16\n",
      "29: -6.9312e+00 -6.9316e+00  5e-04  2e-16  8e-17\n",
      "30: -6.9312e+00 -6.9312e+00  1e-05  1e-16  7e-17\n",
      "31: -6.9312e+00 -6.9312e+00  1e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.1900e+02 -4.0959e+06  6e+02  1e+00  1e+00\n",
      " 2:  4.4548e+02 -9.0964e+06  2e+03  1e+00  1e+00\n",
      " 3:  4.0892e+02 -1.2914e+07  2e+03  1e+00  1e+00\n",
      " 4:  2.2586e+01 -1.0757e+08  2e+04  1e+00  1e+00\n",
      " 5:  1.1467e+02 -7.2772e+08  1e+05  1e+00  1e+00\n",
      " 6:  2.3859e+02 -5.2287e+10  1e+07  1e+00  1e+00\n",
      " 7:  2.1828e+09 -1.2570e+18  1e+18  4e-13  3e-04\n",
      " 8:  2.1828e+09 -1.2570e+16  1e+16  4e-15  2e-04\n",
      " 9:  2.1828e+09 -1.2573e+14  1e+14  2e-16  2e-06\n",
      "10:  2.1823e+09 -1.2795e+12  1e+12  2e-16  2e-08\n",
      "11:  2.1344e+09 -3.4689e+10  4e+10  2e-16  6e-10\n",
      "12:  9.2621e+08 -5.9900e+09  7e+09  1e-16  2e-08\n",
      "13:  2.0295e+08 -3.9504e+08  6e+08  2e-16  1e-09\n",
      "14:  2.9812e+07 -3.2709e+07  6e+07  2e-16  1e-12\n",
      "15:  4.2908e+06 -4.8262e+06  9e+06  1e-16  5e-13\n",
      "16:  6.1475e+05 -6.8246e+05  1e+06  2e-16  2e-13\n",
      "17:  8.7761e+04 -9.7941e+04  2e+05  9e-17  1e-13\n",
      "18:  1.2432e+04 -1.4164e+04  3e+04  2e-16  2e-14\n",
      "19:  1.7245e+03 -2.0849e+03  4e+03  2e-16  1e-14\n",
      "20:  2.2375e+02 -3.2112e+02  5e+02  2e-16  4e-15\n",
      "21:  2.1334e+01 -5.5767e+01  8e+01  1e-16  1e-15\n",
      "22: -3.3597e+00 -1.3400e+01  1e+01  2e-16  5e-16\n",
      "23: -6.2144e+00 -8.5134e+00  2e+00  1e-16  2e-16\n",
      "24: -6.8463e+00 -7.1971e+00  4e-01  2e-16  1e-16\n",
      "25: -6.9237e+00 -6.9776e+00  5e-02  2e-16  8e-17\n",
      "26: -6.9310e+00 -6.9351e+00  4e-03  2e-16  9e-17\n",
      "27: -6.9312e+00 -6.9315e+00  2e-04  2e-16  2e-16\n",
      "28: -6.9312e+00 -6.9312e+00  8e-06  3e-16  1e-16\n",
      "29: -6.9312e+00 -6.9312e+00  8e-08  8e-17  1e-16\n",
      "Optimal solution found.\n",
      "processing  CFQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  5.2457e+01 -6.3446e+05  1e+02  1e+00  1e+00\n",
      " 2:  6.1260e+00 -2.1620e+06  6e+02  1e+00  1e+00\n",
      " 3:  4.9345e+01 -1.3798e+08  3e+04  1e+00  1e+00\n",
      " 4:  6.3426e+08 -3.3679e+15  3e+15  1e-13  5e-06\n",
      " 5:  6.3426e+08 -3.3680e+13  3e+13  1e-15  2e-06\n",
      " 6:  6.3418e+08 -3.3823e+11  3e+11  9e-17  3e-08\n",
      " 7:  6.2627e+08 -4.7974e+09  5e+09  7e-17  6e-10\n",
      " 8:  3.1614e+08 -7.0394e+08  1e+09  1e-16  9e-11\n",
      " 9:  5.0353e+07 -9.6612e+07  1e+08  2e-16  2e-12\n",
      "10:  8.0103e+06 -8.8470e+06  2e+07  4e-17  3e-13\n",
      "11:  1.1533e+06 -1.3042e+06  2e+06  2e-16  5e-13\n",
      "12:  1.6506e+05 -1.8422e+05  3e+05  3e-16  1e-13\n",
      "13:  2.3467e+04 -2.6539e+04  5e+04  3e-17  3e-14\n",
      "14:  3.2853e+03 -3.8758e+03  7e+03  8e-17  1e-14\n",
      "15:  4.3969e+02 -5.8556e+02  1e+03  2e-16  1e-15\n",
      "16:  4.9751e+01 -9.6435e+01  1e+02  3e-16  3e-15\n",
      "17:  5.2293e-01 -1.9722e+01  2e+01  1e-16  3e-16\n",
      "18: -4.2841e+00 -6.5770e+00  2e+00  2e-17  9e-17\n",
      "19: -4.5115e+00 -4.6955e+00  2e-01  2e-16  1e-16\n",
      "20: -4.5190e+00 -4.5214e+00  2e-03  2e-16  7e-17\n",
      "21: -4.5190e+00 -4.5191e+00  2e-05  8e-17  4e-17\n",
      "22: -4.5190e+00 -4.5190e+00  2e-07  1e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  6.5803e+01 -9.8251e+05  2e+02  1e+00  1e+00\n",
      " 2:  5.7106e+01 -1.9330e+06  4e+02  1e+00  1e+00\n",
      " 3:  8.1821e+01 -2.2697e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.7721e+01 -1.9525e+10  5e+06  1e+00  1e+00\n",
      " 5:  2.9632e+09 -3.5177e+17  4e+17  2e-13  1e-04\n",
      " 6:  2.9632e+09 -3.5177e+15  4e+15  3e-15  2e-04\n",
      " 7:  2.9632e+09 -3.5184e+13  4e+13  2e-16  3e-06\n",
      " 8:  2.9631e+09 -3.5882e+11  4e+11  2e-16  4e-08\n",
      " 9:  2.9531e+09 -1.0547e+10  1e+10  3e-16  2e-09\n",
      "10:  5.5569e+07 -9.4824e+09  1e+10  2e-16  7e-11\n",
      "11:  3.5597e+07 -2.5254e+08  3e+08  2e-16  6e-12\n",
      "12:  6.4018e+06 -8.6620e+06  2e+07  4e-16  6e-13\n",
      "13:  9.1932e+05 -1.0029e+06  2e+06  5e-17  2e-13\n",
      "14:  1.3145e+05 -1.4697e+05  3e+05  1e-16  1e-13\n",
      "15:  1.8661e+04 -2.1150e+04  4e+04  2e-16  2e-14\n",
      "16:  2.6036e+03 -3.0995e+03  6e+03  1e-16  2e-14\n",
      "17:  3.4477e+02 -4.7162e+02  8e+02  8e-17  9e-15\n",
      "18:  3.7135e+01 -7.9097e+01  1e+02  1e-16  2e-15\n",
      "19: -1.0123e+00 -1.6937e+01  2e+01  1e-16  6e-16\n",
      "20: -4.5563e+00 -6.2383e+00  2e+00  2e-16  3e-16\n",
      "21: -4.7277e+00 -4.8327e+00  1e-01  1e-16  7e-17\n",
      "22: -4.7341e+00 -4.7374e+00  3e-03  9e-17  1e-16\n",
      "23: -4.7341e+00 -4.7342e+00  3e-05  3e-16  7e-17\n",
      "24: -4.7341e+00 -4.7341e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  8.0925e+01 -1.4086e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.0157e+02 -2.3282e+06  4e+02  1e+00  1e+00\n",
      " 3:  9.0941e+00 -1.9792e+07  4e+03  1e+00  1e+00\n",
      " 4:  5.1731e+01 -1.8912e+08  4e+04  1e+00  1e+00\n",
      " 5:  5.6699e+01 -4.9424e+10  1e+07  1e+00  1e+00\n",
      " 6:  7.0492e+08 -1.1034e+18  1e+18  3e-13  2e-04\n",
      " 7:  7.0492e+08 -1.1034e+16  1e+16  3e-15  1e-04\n",
      " 8:  7.0492e+08 -1.1035e+14  1e+14  2e-16  2e-06\n",
      " 9:  7.0490e+08 -1.1081e+12  1e+12  7e-17  4e-08\n",
      "10:  7.0251e+08 -1.5673e+10  2e+10  1e-16  8e-10\n",
      "11:  5.4628e+08 -3.6052e+09  4e+09  1e-16  1e-09\n",
      "12:  8.3489e+07 -1.0325e+09  1e+09  2e-16  3e-12\n",
      "13:  2.0714e+07 -3.6759e+07  6e+07  8e-17  8e-13\n",
      "14:  3.0551e+06 -3.3084e+06  6e+06  2e-16  5e-13\n",
      "15:  4.3812e+05 -4.9046e+05  9e+05  1e-16  1e-13\n",
      "16:  6.2498e+04 -6.9976e+04  1e+05  2e-16  4e-14\n",
      "17:  8.8311e+03 -1.0144e+04  2e+04  2e-16  3e-14\n",
      "18:  1.2158e+03 -1.5017e+03  3e+03  1e-16  8e-15\n",
      "19:  1.5386e+02 -2.3476e+02  4e+02  1e-16  4e-15\n",
      "20:  1.2735e+01 -4.2189e+01  5e+01  3e-16  7e-16\n",
      "21: -3.5184e+00 -1.0664e+01  7e+00  5e-17  8e-16\n",
      "22: -4.7879e+00 -5.4369e+00  6e-01  2e-16  8e-17\n",
      "23: -4.8941e+00 -4.9561e+00  6e-02  1e-16  5e-17\n",
      "24: -4.8964e+00 -4.8976e+00  1e-03  2e-16  1e-16\n",
      "25: -4.8964e+00 -4.8964e+00  1e-05  2e-16  9e-17\n",
      "26: -4.8964e+00 -4.8964e+00  1e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  9.2172e+01 -1.8840e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.6516e+02 -3.3230e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.4006e+01 -1.2053e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.3834e+01 -3.9474e+07  8e+03  1e+00  1e+00\n",
      " 5:  1.2362e+01 -2.7703e+08  6e+04  1e+00  1e+00\n",
      " 6:  1.1047e+01 -1.1928e+10  2e+06  1e+00  1e+00\n",
      " 7:  3.6122e+01 -4.1456e+13  1e+10  1e+00  1e+00\n",
      " 8:  2.8792e+09 -3.4783e+20  3e+20  1e-13  2e+01\n",
      " 9:  2.8792e+09 -3.4783e+18  3e+18  1e-15  2e-01\n",
      "10:  2.8792e+09 -3.4783e+16  3e+16  6e-17  2e-03\n",
      "11:  2.8792e+09 -3.4783e+14  3e+14  2e-16  3e-05\n",
      "12:  2.8791e+09 -3.4845e+12  3e+12  2e-16  3e-07\n",
      "13:  2.8650e+09 -4.0974e+10  4e+10  1e-16  7e-08\n",
      "14:  1.9836e+09 -4.5918e+09  7e+09  2e-16  2e-06\n",
      "15:  2.9018e+08 -8.8440e+08  1e+09  3e-16  4e-11\n",
      "16:  5.1910e+07 -6.1725e+07  1e+08  2e-16  2e-12\n",
      "17:  7.4896e+06 -8.4271e+06  2e+07  2e-16  7e-13\n",
      "18:  1.0745e+06 -1.1950e+06  2e+06  1e-16  2e-13\n",
      "19:  1.5357e+05 -1.7110e+05  3e+05  2e-16  1e-13\n",
      "20:  2.1806e+04 -2.4689e+04  5e+04  2e-16  3e-14\n",
      "21:  3.0449e+03 -3.6155e+03  7e+03  3e-16  9e-15\n",
      "22:  4.0436e+02 -5.4918e+02  1e+03  1e-16  7e-15\n",
      "23:  4.4182e+01 -9.1651e+01  1e+02  1e-16  2e-15\n",
      "24: -6.6491e-01 -1.9351e+01  2e+01  2e-16  6e-16\n",
      "25: -4.8455e+00 -6.8679e+00  2e+00  2e-16  2e-16\n",
      "26: -5.0253e+00 -5.3459e+00  3e-01  1e-16  1e-16\n",
      "27: -5.0368e+00 -5.0443e+00  8e-03  2e-16  1e-16\n",
      "28: -5.0368e+00 -5.0369e+00  8e-05  3e-16  1e-16\n",
      "29: -5.0368e+00 -5.0368e+00  8e-07  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.0046e+02 -2.3672e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.0213e+02 -4.0535e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.4382e+01 -2.4250e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.9028e+02 -1.7994e+08  4e+04  1e+00  1e+00\n",
      " 5:  7.0863e+01 -1.3786e+11  3e+07  1e+00  1e+00\n",
      " 6:  1.0425e+10 -2.5620e+18  3e+18  4e-13  1e-03\n",
      " 7:  1.0425e+10 -2.5620e+16  3e+16  4e-15  6e-04\n",
      " 8:  1.0425e+10 -2.5622e+14  3e+14  2e-16  9e-06\n",
      " 9:  1.0425e+10 -2.5869e+12  3e+12  2e-16  1e-07\n",
      "10:  1.0414e+10 -5.0548e+10  6e+10  1e-16  2e-09\n",
      "11:  5.6906e+09 -1.1566e+10  2e+10  1e-16  2e-10\n",
      "12:  5.5499e+08 -6.1105e+09  7e+09  7e-16  8e-12\n",
      "13:  1.6153e+08 -2.4262e+08  4e+08  1e-16  3e-12\n",
      "14:  2.3629e+07 -2.5678e+07  5e+07  3e-16  7e-13\n",
      "15:  3.3957e+06 -3.7986e+06  7e+06  2e-16  5e-13\n",
      "16:  4.8618e+05 -5.3933e+05  1e+06  1e-16  2e-13\n",
      "17:  6.9328e+04 -7.7556e+04  1e+05  1e-16  7e-14\n",
      "18:  9.7938e+03 -1.1247e+04  2e+04  2e-16  2e-14\n",
      "19:  1.3480e+03 -1.6659e+03  3e+03  1e-16  1e-14\n",
      "20:  1.7051e+02 -2.6054e+02  4e+02  2e-16  4e-15\n",
      "21:  1.4137e+01 -4.6826e+01  6e+01  2e-16  8e-16\n",
      "22: -3.7945e+00 -1.1770e+01  8e+00  2e-16  7e-16\n",
      "23: -5.0607e+00 -5.6813e+00  6e-01  1e-16  1e-16\n",
      "24: -5.0885e+00 -5.1266e+00  4e-02  2e-16  1e-16\n",
      "25: -5.0891e+00 -5.0897e+00  6e-04  2e-16  9e-17\n",
      "26: -5.0891e+00 -5.0891e+00  6e-06  2e-16  5e-17\n",
      "27: -5.0891e+00 -5.0891e+00  6e-08  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.0822e+02 -2.7432e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.4257e+02 -5.2030e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.6118e+01 -2.0642e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.7787e+02 -1.1044e+08  2e+04  1e+00  1e+00\n",
      " 5:  6.4175e+02 -5.1155e+11  2e+08  1e+00  1e+00\n",
      " 6:  1.1976e+10 -3.3898e+18  3e+18  3e-13  1e-03\n",
      " 7:  1.1976e+10 -3.3898e+16  3e+16  3e-15  3e-04\n",
      " 8:  1.1976e+10 -3.3901e+14  3e+14  2e-16  6e-06\n",
      " 9:  1.1976e+10 -3.4196e+12  3e+12  2e-16  1e-07\n",
      "10:  1.1957e+10 -6.3689e+10  8e+10  2e-16  2e-09\n",
      "11:  8.6088e+09 -2.0809e+10  3e+10  1e-16  6e-10\n",
      "12:  3.2754e+08 -2.3402e+10  2e+10  1e-15  1e-10\n",
      "13:  1.6641e+08 -1.2596e+09  1e+09  2e-16  1e-11\n",
      "14:  2.9620e+07 -5.0442e+07  8e+07  2e-16  1e-12\n",
      "15:  4.2873e+06 -4.6733e+06  9e+06  1e-16  8e-13\n",
      "16:  6.1477e+05 -6.8597e+05  1e+06  2e-16  2e-13\n",
      "17:  8.7760e+04 -9.7987e+04  2e+05  3e-16  7e-14\n",
      "18:  1.2429e+04 -1.4177e+04  3e+04  1e-16  4e-14\n",
      "19:  1.7228e+03 -2.0881e+03  4e+03  2e-16  8e-15\n",
      "20:  2.2319e+02 -3.2205e+02  5e+02  2e-16  3e-15\n",
      "21:  2.1403e+01 -5.5940e+01  8e+01  2e-16  2e-15\n",
      "22: -2.7444e+00 -1.3073e+01  1e+01  1e-16  3e-16\n",
      "23: -4.7577e+00 -6.3664e+00  2e+00  2e-16  2e-16\n",
      "24: -5.0884e+00 -5.6508e+00  6e-01  2e-16  8e-17\n",
      "25: -5.1103e+00 -5.1363e+00  3e-02  2e-16  8e-17\n",
      "26: -5.1112e+00 -5.1118e+00  6e-04  9e-17  8e-17\n",
      "27: -5.1112e+00 -5.1112e+00  6e-06  2e-16  1e-16\n",
      "28: -5.1112e+00 -5.1112e+00  6e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.0605e+02 -3.0533e+06  5e+02  1e+00  1e+00\n",
      " 2:  3.3527e+02 -6.4564e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.0218e+01 -1.9202e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.0498e+02 -5.9583e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.8630e+02 -6.4948e+08  1e+05  1e+00  1e+00\n",
      " 6:  2.4652e+02 -7.5029e+11  2e+08  1e+00  1e+00\n",
      " 7:  5.5297e+08 -1.2222e+19  1e+19  6e-13  3e-03\n",
      " 8:  5.5297e+08 -1.2222e+17  1e+17  6e-15  3e-03\n",
      " 9:  5.5297e+08 -1.2222e+15  1e+15  1e-16  4e-05\n",
      "10:  5.5296e+08 -1.2228e+13  1e+13  2e-16  4e-07\n",
      "11:  5.5246e+08 -1.2872e+11  1e+11  3e-16  4e-09\n",
      "12:  5.0776e+08 -7.2105e+09  8e+09  2e-16  3e-10\n",
      "13:  1.2739e+08 -9.6713e+08  1e+09  1e-16  7e-10\n",
      "14:  2.5332e+07 -4.6912e+07  7e+07  2e-16  2e-11\n",
      "15:  3.6703e+06 -3.9598e+06  8e+06  2e-16  5e-13\n",
      "16:  5.2642e+05 -5.8918e+05  1e+06  1e-16  2e-13\n",
      "17:  7.5118e+04 -8.4004e+04  2e+05  2e-16  9e-14\n",
      "18:  1.0626e+04 -1.2165e+04  2e+04  2e-16  3e-14\n",
      "19:  1.4678e+03 -1.7964e+03  3e+03  2e-16  1e-14\n",
      "20:  1.8793e+02 -2.7897e+02  5e+02  2e-16  3e-15\n",
      "21:  1.6804e+01 -4.9308e+01  7e+01  2e-16  1e-15\n",
      "22: -3.2780e+00 -1.1992e+01  9e+00  1e-16  3e-16\n",
      "23: -4.9178e+00 -5.9320e+00  1e+00  2e-16  1e-16\n",
      "24: -5.1225e+00 -5.2687e+00  1e-01  2e-16  7e-17\n",
      "25: -5.1349e+00 -5.1444e+00  9e-03  5e-17  8e-17\n",
      "26: -5.1352e+00 -5.1354e+00  2e-04  2e-16  9e-17\n",
      "27: -5.1352e+00 -5.1352e+00  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.0860e+02 -3.4844e+06  5e+02  1e+00  1e+00\n",
      " 2:  4.4201e+02 -8.3118e+06  2e+03  1e+00  1e+00\n",
      " 3:  2.4636e+01 -2.2987e+07  5e+03  1e+00  1e+00\n",
      " 4:  2.9659e+01 -6.4911e+07  1e+04  1e+00  1e+00\n",
      " 5:  7.6624e+01 -3.0893e+08  6e+04  1e+00  1e+00\n",
      " 6:  1.7241e+02 -8.2157e+09  2e+06  1e+00  1e+00\n",
      " 7:  2.4734e+02 -2.7488e+13  9e+09  1e+00  1e+00\n",
      " 8:  4.4115e+08 -2.4048e+20  2e+20  3e-13  2e-01\n",
      " 9:  4.4115e+08 -2.4048e+18  2e+18  3e-15  4e-02\n",
      "10:  4.4115e+08 -2.4048e+16  2e+16  2e-16  5e-04\n",
      "11:  4.4115e+08 -2.4048e+14  2e+14  1e-16  6e-06\n",
      "12:  4.4110e+08 -2.4062e+12  2e+12  2e-16  6e-08\n",
      "13:  4.3618e+08 -2.5509e+10  3e+10  1e-16  6e-10\n",
      "14:  2.1885e+08 -9.2911e+08  1e+09  2e-16  7e-08\n",
      "15:  3.5077e+07 -4.6504e+07  8e+07  2e-16  1e-09\n",
      "16:  5.0351e+06 -5.5624e+06  1e+07  2e-16  4e-13\n",
      "17:  7.2163e+05 -8.0248e+05  2e+06  2e-16  2e-13\n",
      "18:  1.0302e+05 -1.1494e+05  2e+05  2e-16  1e-13\n",
      "19:  1.4597e+04 -1.6624e+04  3e+04  2e-16  4e-14\n",
      "20:  2.0261e+03 -2.4461e+03  4e+03  1e-16  2e-14\n",
      "21:  2.6382e+02 -3.7618e+02  6e+02  1e-16  4e-15\n",
      "22:  2.6103e+01 -6.4801e+01  9e+01  2e-16  2e-15\n",
      "23: -2.5186e+00 -1.4774e+01  1e+01  2e-16  5e-16\n",
      "24: -4.9167e+00 -6.3232e+00  1e+00  3e-16  1e-16\n",
      "25: -5.1319e+00 -5.9002e+00  8e-01  3e-16  1e-16\n",
      "26: -5.1593e+00 -5.2030e+00  4e-02  2e-16  1e-16\n",
      "27: -5.1599e+00 -5.1605e+00  6e-04  2e-16  2e-16\n",
      "28: -5.1599e+00 -5.1599e+00  6e-06  2e-16  1e-16\n",
      "29: -5.1599e+00 -5.1599e+00  6e-08  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.0917e+02 -3.8749e+06  5e+02  1e+00  1e+00\n",
      " 2:  5.3857e+02 -1.0127e+07  2e+03  1e+00  1e+00\n",
      " 3:  1.1660e+02 -1.8198e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.5985e+02 -4.5832e+07  9e+03  1e+00  1e+00\n",
      " 5:  5.4327e+02 -1.1522e+09  2e+05  1e+00  1e+00\n",
      " 6:  3.9003e+01 -3.2636e+12  1e+09  1e+00  1e+00\n",
      " 7:  8.8177e+09 -3.2536e+19  3e+19  2e-13  9e-03\n",
      " 8:  8.8177e+09 -3.2536e+17  3e+17  2e-15  3e-03\n",
      " 9:  8.8177e+09 -3.2536e+15  3e+15  2e-16  6e-05\n",
      "10:  8.8176e+09 -3.2565e+13  3e+13  1e-16  7e-07\n",
      "11:  8.8004e+09 -3.5473e+11  4e+11  2e-16  9e-09\n",
      "12:  7.5776e+09 -3.1518e+10  4e+10  1e-16  3e-09\n",
      "13:  3.8895e+09 -3.3316e+10  4e+10  1e-16  2e-09\n",
      "14:  1.3311e+09 -3.0678e+09  4e+09  1e-16  2e-10\n",
      "15:  2.0537e+08 -2.4617e+08  5e+08  1e-16  6e-12\n",
      "16:  2.9736e+07 -3.3575e+07  6e+07  2e-16  2e-12\n",
      "17:  4.2713e+06 -4.7495e+06  9e+06  2e-16  6e-13\n",
      "18:  6.1163e+05 -6.7822e+05  1e+06  2e-16  2e-13\n",
      "19:  8.7266e+04 -9.7424e+04  2e+05  2e-16  6e-14\n",
      "20:  1.2349e+04 -1.4109e+04  3e+04  1e-16  3e-14\n",
      "21:  1.7081e+03 -2.0819e+03  4e+03  2e-16  1e-14\n",
      "22:  2.1988e+02 -3.2238e+02  5e+02  1e-16  3e-15\n",
      "23:  2.0390e+01 -5.6507e+01  8e+01  2e-16  2e-15\n",
      "24: -3.1677e+00 -1.3416e+01  1e+01  1e-16  5e-16\n",
      "25: -5.0311e+00 -5.9260e+00  9e-01  2e-16  1e-16\n",
      "26: -5.1693e+00 -5.4406e+00  3e-01  2e-16  7e-17\n",
      "27: -5.1740e+00 -5.1810e+00  7e-03  2e-16  7e-17\n",
      "28: -5.1740e+00 -5.1741e+00  7e-05  2e-16  1e-16\n",
      "29: -5.1740e+00 -5.1740e+00  7e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "processing  CBQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.1890e+01 -2.0068e+05  4e+01  1e+00  1e+00\n",
      " 2:  3.7432e+00 -3.0012e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.0166e+01 -1.0832e+09  2e+05  1e+00  1e+00\n",
      " 4:  4.0307e+06 -2.3548e+16  2e+16  9e-13  7e-05\n",
      " 5:  4.0307e+06 -2.3548e+14  2e+14  9e-15  6e-05\n",
      " 6:  4.0307e+06 -2.3548e+12  2e+12  2e-16  1e-06\n",
      " 7:  4.0300e+06 -2.3559e+10  2e+10  1e-16  6e-09\n",
      " 8:  3.9572e+06 -2.4618e+08  3e+08  1e-16  7e-11\n",
      " 9:  1.5667e+06 -5.9670e+06  8e+06  1e-16  6e-13\n",
      "10:  2.4082e+05 -3.0068e+05  5e+05  2e-16  4e-13\n",
      "11:  3.4437e+04 -3.8004e+04  7e+04  7e-17  8e-14\n",
      "12:  4.9090e+03 -5.5161e+03  1e+04  3e-16  5e-14\n",
      "13:  6.9194e+02 -8.0024e+02  1e+03  8e-17  7e-15\n",
      "14:  9.4566e+01 -1.1914e+02  2e+02  3e-16  6e-15\n",
      "15:  1.1646e+01 -1.8892e+01  3e+01  6e-17  1e-15\n",
      "16:  7.7421e-01 -3.5201e+00  4e+00  3e-16  1e-15\n",
      "17: -4.2833e-01 -9.6778e-01  5e-01  3e-16  4e-16\n",
      "18: -5.1571e-01 -5.9652e-01  8e-02  6e-17  3e-16\n",
      "19: -5.2320e-01 -5.2743e-01  4e-03  2e-16  2e-16\n",
      "20: -5.2322e-01 -5.2327e-01  4e-05  1e-16  8e-17\n",
      "21: -5.2322e-01 -5.2322e-01  4e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.7546e+01 -3.2883e+05  6e+01  1e+00  1e+00\n",
      " 2:  3.1273e+00 -1.7475e+06  4e+02  1e+00  1e+00\n",
      " 3:  3.3325e+00 -9.2637e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.3985e+00 -2.0298e+08  4e+04  1e+00  1e+00\n",
      " 5:  2.2161e+00 -1.1918e+11  3e+07  1e+00  1e+00\n",
      " 6:  2.7133e+08 -2.3523e+18  2e+18  2e-13  7e-03\n",
      " 7:  2.7133e+08 -2.3523e+16  2e+16  2e-15  3e-03\n",
      " 8:  2.7133e+08 -2.3523e+14  2e+14  2e-16  1e-04\n",
      " 9:  2.7132e+08 -2.3528e+12  2e+12  1e-16  1e-06\n",
      "10:  2.7107e+08 -2.4038e+10  2e+10  1e-16  6e-09\n",
      "11:  2.4792e+08 -7.0567e+08  1e+09  1e-16  3e-09\n",
      "12:  4.1134e+07 -1.0082e+08  1e+08  6e-17  3e-09\n",
      "13:  7.0403e+06 -7.9878e+06  2e+07  2e-16  6e-11\n",
      "14:  1.0160e+06 -1.1534e+06  2e+06  1e-16  6e-13\n",
      "15:  1.4583e+05 -1.6203e+05  3e+05  1e-16  2e-13\n",
      "16:  2.0852e+04 -2.3213e+04  4e+04  3e-16  1e-13\n",
      "17:  2.9639e+03 -3.3462e+03  6e+03  1e-16  2e-14\n",
      "18:  4.1503e+02 -4.8893e+02  9e+02  2e-16  1e-14\n",
      "19:  5.5601e+01 -7.3837e+01  1e+02  1e-16  5e-15\n",
      "20:  6.3194e+00 -1.2140e+01  2e+01  2e-16  2e-15\n",
      "21:  8.7175e-02 -2.4719e+00  3e+00  2e-16  4e-16\n",
      "22: -5.2381e-01 -8.1595e-01  3e-01  2e-17  1e-16\n",
      "23: -5.5080e-01 -5.7713e-01  3e-02  3e-16  6e-17\n",
      "24: -5.5126e-01 -5.5160e-01  3e-04  2e-16  7e-17\n",
      "25: -5.5126e-01 -5.5126e-01  3e-06  2e-16  3e-17\n",
      "26: -5.5126e-01 -5.5126e-01  3e-08  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.3555e+01 -4.6999e+05  9e+01  1e+00  1e+00\n",
      " 2:  2.8213e+00 -3.3455e+06  7e+02  1e+00  1e+00\n",
      " 3:  4.5050e+00 -2.3586e+07  5e+03  1e+00  1e+00\n",
      " 4:  4.3613e+00 -1.1285e+09  2e+05  1e+00  1e+00\n",
      " 5:  5.1698e+00 -7.1815e+12  3e+09  1e+00  1e+00\n",
      " 6:  1.6058e+08 -3.3391e+19  3e+19  2e-13  8e-02\n",
      " 7:  1.6058e+08 -3.3391e+17  3e+17  2e-15  5e-02\n",
      " 8:  1.6058e+08 -3.3391e+15  3e+15  2e-16  8e-04\n",
      " 9:  1.6058e+08 -3.3392e+13  3e+13  2e-16  1e-05\n",
      "10:  1.6057e+08 -3.3442e+11  3e+11  2e-16  9e-08\n",
      "11:  1.5902e+08 -3.8419e+09  4e+09  9e-17  9e-10\n",
      "12:  8.5331e+07 -2.8647e+08  4e+08  1e-16  3e-08\n",
      "13:  1.2764e+07 -1.7567e+07  3e+07  6e-17  1e-11\n",
      "14:  1.8569e+06 -2.0744e+06  4e+06  2e-16  1e-12\n",
      "15:  2.6684e+05 -2.9810e+05  6e+05  2e-16  5e-13\n",
      "16:  3.8197e+04 -4.2447e+04  8e+04  1e-16  1e-13\n",
      "17:  5.4422e+03 -6.1057e+03  1e+04  2e-16  8e-14\n",
      "18:  7.6686e+02 -8.8735e+02  2e+03  2e-16  1e-14\n",
      "19:  1.0473e+02 -1.3220e+02  2e+02  2e-16  8e-15\n",
      "20:  1.2865e+01 -2.0994e+01  3e+01  9e-17  5e-15\n",
      "21:  8.3917e-01 -3.9228e+00  5e+00  1e-16  1e-15\n",
      "22: -4.8016e-01 -1.0797e+00  6e-01  2e-16  3e-16\n",
      "23: -5.6459e-01 -6.5527e-01  9e-02  2e-16  2e-16\n",
      "24: -5.7030e-01 -5.7357e-01  3e-03  4e-16  1e-16\n",
      "25: -5.7031e-01 -5.7034e-01  3e-05  3e-16  1e-16\n",
      "26: -5.7031e-01 -5.7031e-01  3e-07  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.9925e+01 -6.2441e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.6935e+01 -9.8781e+06  2e+03  1e+00  1e+00\n",
      " 3:  7.0894e+00 -4.5082e+08  9e+04  1e+00  1e+00\n",
      " 4:  1.9732e+01 -5.9970e+11  2e+08  1e+00  1e+00\n",
      " 5:  6.3647e+07 -9.0686e+18  9e+18  6e-13  3e-02\n",
      " 6:  6.3647e+07 -9.0686e+16  9e+16  6e-15  1e-02\n",
      " 7:  6.3647e+07 -9.0686e+14  9e+14  1e-16  2e-04\n",
      " 8:  6.3647e+07 -9.0689e+12  9e+12  1e-16  2e-06\n",
      " 9:  6.3620e+07 -9.1013e+10  9e+10  2e-16  3e-08\n",
      "10:  6.1026e+07 -1.2210e+09  1e+09  2e-16  5e-10\n",
      "11:  1.6901e+07 -6.5254e+07  8e+07  1e-16  2e-11\n",
      "12:  2.4983e+06 -3.0137e+06  6e+06  1e-16  9e-13\n",
      "13:  3.5858e+05 -3.9939e+05  8e+05  1e-16  5e-13\n",
      "14:  5.1360e+04 -5.7092e+04  1e+05  2e-16  1e-13\n",
      "15:  7.3247e+03 -8.1975e+03  2e+04  2e-16  5e-14\n",
      "16:  1.0347e+03 -1.1888e+03  2e+03  2e-16  2e-14\n",
      "17:  1.4234e+02 -1.7614e+02  3e+02  3e-16  1e-14\n",
      "18:  1.7964e+01 -2.7578e+01  5e+01  2e-16  2e-15\n",
      "19:  1.4610e+00 -4.9736e+00  6e+00  2e-16  1e-15\n",
      "20: -4.2793e-01 -1.2641e+00  8e-01  2e-16  4e-16\n",
      "21: -5.6432e-01 -7.2578e-01  2e-01  2e-16  1e-16\n",
      "22: -5.8121e-01 -5.9566e-01  1e-02  2e-16  1e-16\n",
      "23: -5.8132e-01 -5.8149e-01  2e-04  3e-16  2e-16\n",
      "24: -5.8132e-01 -5.8132e-01  2e-06  2e-16  9e-17\n",
      "25: -5.8132e-01 -5.8132e-01  2e-08  7e-17  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.5843e+01 -7.8980e+05  1e+02  1e+00  1e+00\n",
      " 2:  2.4365e+01 -2.6296e+06  5e+02  1e+00  1e+00\n",
      " 3:  4.0528e+01 -3.1535e+07  6e+03  1e+00  1e+00\n",
      " 4:  1.5352e+01 -2.2362e+10  5e+06  1e+00  1e+00\n",
      " 5:  6.7320e+08 -4.2514e+17  4e+17  4e-13  1e-03\n",
      " 6:  6.7320e+08 -4.2514e+15  4e+15  4e-15  3e-04\n",
      " 7:  6.7320e+08 -4.2517e+13  4e+13  2e-16  6e-06\n",
      " 8:  6.7318e+08 -4.2784e+11  4e+11  2e-16  6e-08\n",
      " 9:  6.7187e+08 -6.9446e+09  8e+09  1e-16  2e-09\n",
      "10:  6.0851e+08 -2.4933e+09  3e+09  1e-16  6e-10\n",
      "11:  4.0302e+07 -3.5339e+09  4e+09  3e-16  4e-10\n",
      "12:  1.8772e+07 -9.2519e+07  1e+08  1e-16  1e-11\n",
      "13:  2.9639e+06 -4.1123e+06  7e+06  2e-16  1e-12\n",
      "14:  4.2420e+05 -4.6252e+05  9e+05  2e-16  4e-13\n",
      "15:  6.0753e+04 -6.7494e+04  1e+05  1e-16  2e-13\n",
      "16:  8.6659e+03 -9.6789e+03  2e+04  2e-16  5e-14\n",
      "17:  1.2255e+03 -1.4029e+03  3e+03  2e-16  3e-14\n",
      "18:  1.6916e+02 -2.0735e+02  4e+02  2e-16  1e-14\n",
      "19:  2.1609e+01 -3.2248e+01  5e+01  8e-17  2e-15\n",
      "20:  1.9051e+00 -5.7194e+00  8e+00  3e-16  5e-16\n",
      "21: -3.9785e-01 -1.4019e+00  1e+00  8e-17  5e-16\n",
      "22: -5.7653e-01 -7.0653e-01  1e-01  2e-16  2e-16\n",
      "23: -5.8905e-01 -5.9820e-01  9e-03  1e-16  1e-16\n",
      "24: -5.8940e-01 -5.8962e-01  2e-04  2e-16  8e-17\n",
      "25: -5.8940e-01 -5.8940e-01  2e-06  1e-16  1e-16\n",
      "26: -5.8940e-01 -5.8940e-01  2e-08  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.0957e+01 -8.0009e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.8837e+01 -1.6738e+06  3e+02  1e+00  1e+00\n",
      " 3:  5.4362e+00 -2.4706e+07  5e+03  1e+00  1e+00\n",
      " 4:  7.0741e+00 -3.0298e+08  6e+04  1e+00  1e+00\n",
      " 5:  8.4963e+00 -4.9133e+10  1e+07  1e+00  1e+00\n",
      " 6:  1.1123e+09 -1.1381e+18  1e+18  6e-13  2e-03\n",
      " 7:  1.1123e+09 -1.1381e+16  1e+16  6e-15  1e-03\n",
      " 8:  1.1123e+09 -1.1382e+14  1e+14  2e-16  2e-05\n",
      " 9:  1.1123e+09 -1.1422e+12  1e+12  1e-16  2e-07\n",
      "10:  1.1098e+09 -1.5451e+10  2e+10  2e-16  3e-09\n",
      "11:  9.4467e+08 -3.6510e+09  5e+09  2e-16  7e-09\n",
      "12:  1.2658e+08 -3.5732e+09  4e+09  6e-16  2e-09\n",
      "13:  5.2052e+07 -2.6878e+08  3e+08  2e-16  2e-10\n",
      "14:  8.6032e+06 -1.2763e+07  2e+07  2e-16  4e-12\n",
      "15:  1.2390e+06 -1.3686e+06  3e+06  2e-16  1e-12\n",
      "16:  1.7787e+05 -1.9820e+05  4e+05  2e-16  3e-13\n",
      "17:  2.5442e+04 -2.8274e+04  5e+04  2e-16  1e-13\n",
      "18:  3.6211e+03 -4.0721e+03  8e+03  2e-16  7e-14\n",
      "19:  5.0887e+02 -5.9319e+02  1e+03  3e-16  2e-14\n",
      "20:  6.8918e+01 -8.8896e+01  2e+02  1e-16  7e-15\n",
      "21:  8.1793e+00 -1.4342e+01  2e+01  2e-16  2e-15\n",
      "22:  3.3428e-01 -2.8017e+00  3e+00  2e-16  3e-16\n",
      "23: -5.0974e-01 -8.7799e-01  4e-01  2e-16  3e-16\n",
      "24: -5.8675e-01 -6.4170e-01  5e-02  2e-16  1e-16\n",
      "25: -5.9402e-01 -5.9803e-01  4e-03  8e-17  1e-16\n",
      "26: -5.9411e-01 -5.9416e-01  5e-05  2e-16  8e-17\n",
      "27: -5.9411e-01 -5.9411e-01  5e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  3.2360e+01 -9.0640e+05  2e+02  1e+00  1e+00\n",
      " 2:  6.4912e+01 -1.9073e+06  4e+02  1e+00  1e+00\n",
      " 3:  3.6762e+00 -2.3686e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.0071e+01 -2.6297e+08  5e+04  1e+00  1e+00\n",
      " 5:  2.4368e+01 -4.6823e+10  1e+07  1e+00  1e+00\n",
      " 6:  4.4448e+08 -1.0796e+18  1e+18  7e-13  2e-03\n",
      " 7:  4.4448e+08 -1.0796e+16  1e+16  7e-15  1e-03\n",
      " 8:  4.4448e+08 -1.0797e+14  1e+14  3e-16  2e-05\n",
      " 9:  4.4447e+08 -1.0836e+12  1e+12  1e-16  2e-07\n",
      "10:  4.4290e+08 -1.4723e+10  2e+10  1e-16  3e-09\n",
      "11:  3.7141e+08 -3.5366e+09  4e+09  1e-16  4e-09\n",
      "12:  1.3859e+08 -2.6089e+09  3e+09  1e-16  1e-09\n",
      "13:  4.5784e+07 -1.1121e+08  2e+08  2e-16  6e-11\n",
      "14:  6.9989e+06 -7.9099e+06  1e+07  2e-16  2e-12\n",
      "15:  1.0059e+06 -1.1224e+06  2e+06  2e-16  9e-13\n",
      "16:  1.4417e+05 -1.5966e+05  3e+05  2e-16  4e-13\n",
      "17:  2.0605e+04 -2.2900e+04  4e+04  2e-16  1e-13\n",
      "18:  2.9286e+03 -3.3034e+03  6e+03  1e-16  4e-14\n",
      "19:  4.1016e+02 -4.8266e+02  9e+02  2e-16  1e-14\n",
      "20:  5.4989e+01 -7.2850e+01  1e+02  1e-16  5e-15\n",
      "21:  6.2629e+00 -1.1964e+01  2e+01  2e-16  2e-15\n",
      "22:  8.5057e-02 -2.4361e+00  3e+00  2e-16  6e-16\n",
      "23: -5.3640e-01 -8.4483e-01  3e-01  1e-16  2e-16\n",
      "24: -5.9339e-01 -6.4071e-01  5e-02  2e-16  8e-17\n",
      "25: -5.9811e-01 -6.0065e-01  3e-03  2e-16  7e-17\n",
      "26: -5.9816e-01 -5.9819e-01  3e-05  2e-16  9e-17\n",
      "27: -5.9816e-01 -5.9816e-01  3e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  3.6429e+01 -1.0669e+06  2e+02  1e+00  1e+00\n",
      " 2:  8.2173e+01 -2.2532e+06  4e+02  1e+00  1e+00\n",
      " 3:  8.7484e+00 -2.3041e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.4992e+01 -2.7514e+08  6e+04  1e+00  1e+00\n",
      " 5:  2.5213e+01 -5.3291e+10  1e+07  1e+00  1e+00\n",
      " 6:  6.9262e+08 -1.2220e+18  1e+18  5e-13  2e-03\n",
      " 7:  6.9262e+08 -1.2220e+16  1e+16  5e-15  2e-03\n",
      " 8:  6.9262e+08 -1.2221e+14  1e+14  2e-16  2e-05\n",
      " 9:  6.9260e+08 -1.2268e+12  1e+12  2e-16  3e-07\n",
      "10:  6.9060e+08 -1.6982e+10  2e+10  2e-16  4e-09\n",
      "11:  5.6412e+08 -3.9733e+09  5e+09  1e-16  1e-09\n",
      "12:  6.6218e+07 -1.5413e+09  2e+09  2e-16  9e-11\n",
      "13:  1.8940e+07 -4.7341e+07  7e+07  2e-16  5e-12\n",
      "14:  2.9131e+06 -3.3052e+06  6e+06  3e-16  1e-12\n",
      "15:  4.1802e+05 -4.6310e+05  9e+05  2e-16  5e-13\n",
      "16:  5.9835e+04 -6.6328e+04  1e+05  3e-16  2e-13\n",
      "17:  8.5330e+03 -9.5343e+03  2e+04  2e-16  5e-14\n",
      "18:  1.2062e+03 -1.3822e+03  3e+03  2e-16  3e-14\n",
      "19:  1.6632e+02 -2.0446e+02  4e+02  1e-16  1e-14\n",
      "20:  2.1177e+01 -3.1860e+01  5e+01  2e-16  6e-15\n",
      "21:  1.8302e+00 -5.6761e+00  8e+00  2e-16  2e-15\n",
      "22: -4.1710e-01 -1.4033e+00  1e+00  2e-16  6e-16\n",
      "23: -5.8995e-01 -6.7947e-01  9e-02  2e-16  2e-16\n",
      "24: -6.0075e-01 -6.0948e-01  9e-03  3e-16  1e-16\n",
      "25: -6.0107e-01 -6.0127e-01  2e-04  1e-16  1e-16\n",
      "26: -6.0107e-01 -6.0108e-01  2e-06  3e-16  1e-16\n",
      "27: -6.0107e-01 -6.0107e-01  2e-08  2e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  4.1384e+01 -1.2409e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.6305e+01 -2.5788e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.9967e+01 -1.0073e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.4335e+01 -7.6354e+07  2e+04  1e+00  1e+00\n",
      " 5:  3.7557e+01 -7.5065e+09  2e+06  1e+00  1e+00\n",
      " 6:  4.8298e+08 -1.7942e+17  2e+17  6e-13  2e-04\n",
      " 7:  4.8298e+08 -1.7942e+15  2e+15  6e-15  2e-04\n",
      " 8:  4.8298e+08 -1.7946e+13  2e+13  2e-16  2e-06\n",
      " 9:  4.8284e+08 -1.8324e+11  2e+11  2e-16  3e-08\n",
      "10:  4.6956e+08 -5.5048e+09  6e+09  1e-16  9e-10\n",
      "11:  1.0613e+08 -7.8182e+08  9e+08  2e-16  1e-08\n",
      "12:  2.3703e+07 -4.5320e+07  7e+07  1e-16  5e-10\n",
      "13:  3.4436e+06 -3.7376e+06  7e+06  2e-16  1e-12\n",
      "14:  4.9503e+05 -5.5467e+05  1e+06  2e-16  4e-13\n",
      "15:  7.0887e+04 -7.8632e+04  1e+05  2e-16  2e-13\n",
      "16:  1.0114e+04 -1.1297e+04  2e+04  2e-16  8e-14\n",
      "17:  1.4311e+03 -1.6358e+03  3e+03  2e-16  3e-14\n",
      "18:  1.9789e+02 -2.4144e+02  4e+02  2e-16  1e-14\n",
      "19:  2.5441e+01 -3.7416e+01  6e+01  2e-16  3e-15\n",
      "20:  2.3405e+00 -6.5713e+00  9e+00  1e-16  2e-15\n",
      "21: -3.8140e-01 -1.5674e+00  1e+00  2e-16  5e-16\n",
      "22: -5.9426e-01 -7.0691e-01  1e-01  3e-16  2e-16\n",
      "23: -6.0369e-01 -6.1217e-01  8e-03  2e-16  8e-17\n",
      "24: -6.0377e-01 -6.0388e-01  1e-04  2e-16  1e-16\n",
      "25: -6.0377e-01 -6.0377e-01  1e-06  2e-16  7e-17\n",
      "26: -6.0377e-01 -6.0377e-01  1e-08  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "processing  CKQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.6800e+01 -2.2019e+05  4e+01  1e+00  1e+00\n",
      " 2:  6.3605e-01 -2.7284e+06  6e+02  1e+00  1e+00\n",
      " 3:  4.8627e+00 -3.6299e+08  7e+04  1e+00  1e+00\n",
      " 4:  1.6268e+01 -2.1811e+12  1e+09  1e+00  1e+00\n",
      " 5:  5.7238e+04 -1.0322e+19  1e+19  3e-13  3e-02\n",
      " 6:  5.7238e+04 -1.0322e+17  1e+17  3e-15  1e-02\n",
      " 7:  5.7238e+04 -1.0322e+15  1e+15  8e-17  3e-04\n",
      " 8:  5.7238e+04 -1.0322e+13  1e+13  1e-16  1e-06\n",
      " 9:  5.7238e+04 -1.0322e+11  1e+11  3e-16  3e-08\n",
      "10:  5.7202e+04 -1.0324e+09  1e+09  2e-16  2e-10\n",
      "11:  5.3775e+04 -1.0465e+07  1e+07  1e-16  3e-12\n",
      "12:  1.2549e+04 -1.2384e+05  1e+05  7e-17  4e-14\n",
      "13:  1.8278e+03 -3.0536e+03  5e+03  3e-16  1e-14\n",
      "14:  2.4936e+02 -3.0036e+02  5e+02  3e-16  8e-15\n",
      "15:  3.0928e+01 -4.8994e+01  8e+01  2e-16  1e-15\n",
      "16:  1.8258e+00 -9.2593e+00  1e+01  2e-16  4e-16\n",
      "17: -1.7494e+00 -3.1595e+00  1e+00  7e-17  3e-16\n",
      "18: -2.1851e+00 -2.3887e+00  2e-01  2e-16  2e-16\n",
      "19: -2.2199e+00 -2.2376e+00  2e-02  3e-16  1e-16\n",
      "20: -2.2206e+00 -2.2209e+00  3e-04  2e-16  1e-16\n",
      "21: -2.2206e+00 -2.2206e+00  3e-06  2e-16  2e-16\n",
      "22: -2.2206e+00 -2.2206e+00  3e-08  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.3152e+01 -3.5778e+05  7e+01  1e+00  1e+00\n",
      " 2:  4.9678e-01 -2.0882e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.2562e+01 -1.5374e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.3076e+01 -1.2392e+09  3e+05  1e+00  1e+00\n",
      " 5:  3.6103e+07 -2.9828e+16  3e+16  3e-13  1e-04\n",
      " 6:  3.6103e+07 -2.9828e+14  3e+14  3e-15  1e-05\n",
      " 7:  3.6103e+07 -2.9829e+12  3e+12  3e-16  1e-07\n",
      " 8:  3.6084e+07 -2.9972e+10  3e+10  8e-17  5e-09\n",
      " 9:  3.4245e+07 -4.3522e+08  5e+08  3e-16  8e-11\n",
      "10:  8.9441e+06 -2.3251e+07  3e+07  2e-16  5e-12\n",
      "11:  1.3502e+06 -1.5615e+06  3e+06  3e-16  5e-13\n",
      "12:  1.9391e+05 -2.1692e+05  4e+05  1e-16  9e-14\n",
      "13:  2.7727e+04 -3.0961e+04  6e+04  9e-17  3e-14\n",
      "14:  3.9359e+03 -4.4646e+03  8e+03  2e-16  1e-14\n",
      "15:  5.4860e+02 -6.5433e+02  1e+03  1e-16  1e-14\n",
      "16:  7.2239e+01 -9.9798e+01  2e+02  1e-16  1e-15\n",
      "17:  7.3992e+00 -1.6951e+01  2e+01  3e-16  1e-15\n",
      "18: -3.4871e-01 -5.0950e+00  5e+00  1e-16  2e-16\n",
      "19: -2.0260e+00 -3.1965e+00  1e+00  2e-16  2e-16\n",
      "20: -2.2208e+00 -2.3341e+00  1e-01  2e-16  2e-16\n",
      "21: -2.2411e+00 -2.2510e+00  1e-02  1e-16  1e-16\n",
      "22: -2.2418e+00 -2.2421e+00  3e-04  3e-16  1e-16\n",
      "23: -2.2418e+00 -2.2418e+00  3e-06  1e-16  9e-17\n",
      "24: -2.2418e+00 -2.2418e+00  3e-08  1e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.8399e+01 -5.0503e+05  9e+01  1e+00  1e+00\n",
      " 2:  2.8604e+01 -1.2236e+06  2e+02  1e+00  1e+00\n",
      " 3:  6.0271e+00 -3.4386e+07  7e+03  1e+00  1e+00\n",
      " 4:  1.1144e+01 -1.3317e+09  3e+05  1e+00  1e+00\n",
      " 5:  1.3246e+01 -4.6193e+12  2e+09  1e+00  1e+00\n",
      " 6:  3.6137e+08 -3.8639e+19  4e+19  3e-13  5e-02\n",
      " 7:  3.6137e+08 -3.8639e+17  4e+17  3e-15  3e-02\n",
      " 8:  3.6137e+08 -3.8639e+15  4e+15  2e-16  6e-04\n",
      " 9:  3.6137e+08 -3.8641e+13  4e+13  1e-16  7e-06\n",
      "10:  3.6136e+08 -3.8868e+11  4e+11  2e-16  5e-08\n",
      "11:  3.6041e+08 -6.1516e+09  7e+09  2e-16  9e-10\n",
      "12:  2.9514e+08 -1.8383e+09  2e+09  2e-16  2e-08\n",
      "13:  4.0744e+07 -1.0845e+09  1e+09  1e-16  2e-09\n",
      "14:  1.2575e+07 -4.3792e+07  6e+07  2e-16  7e-11\n",
      "15:  1.9129e+06 -2.2749e+06  4e+06  2e-16  6e-13\n",
      "16:  2.7424e+05 -3.0503e+05  6e+05  3e-16  3e-13\n",
      "17:  3.9189e+04 -4.3779e+04  8e+04  1e-16  5e-14\n",
      "18:  5.5579e+03 -6.3193e+03  1e+04  1e-16  5e-14\n",
      "19:  7.7303e+02 -9.2815e+02  2e+03  2e-16  1e-14\n",
      "20:  1.0120e+02 -1.4220e+02  2e+02  2e-16  3e-15\n",
      "21:  1.0184e+01 -2.4349e+01  3e+01  2e-16  1e-15\n",
      "22: -9.8446e-01 -5.5942e+00  5e+00  2e-16  4e-16\n",
      "23: -2.1017e+00 -2.6947e+00  6e-01  2e-16  1e-16\n",
      "24: -2.2471e+00 -2.3238e+00  8e-02  2e-16  1e-16\n",
      "25: -2.2546e+00 -2.2581e+00  3e-03  2e-16  1e-16\n",
      "26: -2.2547e+00 -2.2547e+00  5e-05  1e-16  1e-16\n",
      "27: -2.2547e+00 -2.2547e+00  5e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.6263e+01 -8.0301e+05  2e+02  1e+00  1e+00\n",
      " 2:  6.9155e+00 -3.6493e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.3243e+01 -1.3187e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.2244e+01 -1.9195e+08  4e+04  1e+00  1e+00\n",
      " 5:  2.7988e+01 -7.1861e+10  2e+07  1e+00  1e+00\n",
      " 6:  2.1186e+08 -1.5386e+18  2e+18  3e-13  2e-03\n",
      " 7:  2.1186e+08 -1.5386e+16  2e+16  3e-15  1e-03\n",
      " 8:  2.1186e+08 -1.5386e+14  2e+14  1e-16  2e-05\n",
      " 9:  2.1186e+08 -1.5401e+12  2e+12  2e-16  2e-07\n",
      "10:  2.1145e+08 -1.6889e+10  2e+10  2e-16  2e-09\n",
      "11:  1.7892e+08 -1.4193e+09  2e+09  2e-16  2e-10\n",
      "12:  3.6418e+07 -1.8084e+08  2e+08  6e-17  8e-11\n",
      "13:  7.0521e+06 -1.0393e+07  2e+07  2e-16  3e-12\n",
      "14:  1.0187e+06 -1.1191e+06  2e+06  2e-16  6e-13\n",
      "15:  1.4610e+05 -1.6334e+05  3e+05  1e-16  1e-13\n",
      "16:  2.0847e+04 -2.3332e+04  4e+04  3e-16  5e-14\n",
      "17:  2.9475e+03 -3.3794e+03  6e+03  3e-16  1e-14\n",
      "18:  4.0637e+02 -4.9968e+02  9e+02  2e-16  9e-15\n",
      "19:  5.1560e+01 -7.7939e+01  1e+02  9e-17  2e-15\n",
      "20:  4.2114e+00 -1.4021e+01  2e+01  2e-16  1e-15\n",
      "21: -1.4260e+00 -3.8036e+00  2e+00  1e-16  3e-16\n",
      "22: -2.1820e+00 -2.6762e+00  5e-01  2e-16  2e-16\n",
      "23: -2.2577e+00 -2.3253e+00  7e-02  3e-16  7e-17\n",
      "24: -2.2661e+00 -2.2711e+00  5e-03  2e-16  9e-17\n",
      "25: -2.2663e+00 -2.2664e+00  1e-04  1e-16  6e-17\n",
      "26: -2.2663e+00 -2.2663e+00  1e-06  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.0587e+01 -9.9579e+05  2e+02  1e+00  1e+00\n",
      " 2:  5.7770e+01 -2.2962e+06  4e+02  1e+00  1e+00\n",
      " 3:  6.0829e+00 -4.3183e+07  9e+03  1e+00  1e+00\n",
      " 4:  2.0486e+01 -1.6163e+09  3e+05  1e+00  1e+00\n",
      " 5:  2.0057e+01 -8.0722e+12  3e+09  1e+00  1e+00\n",
      " 6:  2.9441e+08 -4.8646e+19  5e+19  2e-13  5e-02\n",
      " 7:  2.9441e+08 -4.8646e+17  5e+17  2e-15  3e-02\n",
      " 8:  2.9441e+08 -4.8646e+15  5e+15  1e-16  5e-04\n",
      " 9:  2.9441e+08 -4.8650e+13  5e+13  2e-16  6e-06\n",
      "10:  2.9439e+08 -4.9005e+11  5e+11  3e-16  1e-07\n",
      "11:  2.9263e+08 -8.4298e+09  9e+09  2e-16  2e-09\n",
      "12:  1.9396e+08 -2.0495e+09  2e+09  1e-16  6e-10\n",
      "13:  4.1630e+07 -2.8364e+08  3e+08  1e-16  4e-12\n",
      "14:  8.2930e+06 -1.3927e+07  2e+07  1e-16  2e-12\n",
      "15:  1.1976e+06 -1.2923e+06  2e+06  2e-16  4e-13\n",
      "16:  1.7171e+05 -1.9232e+05  4e+05  2e-16  2e-13\n",
      "17:  2.4483e+04 -2.7447e+04  5e+04  2e-16  6e-14\n",
      "18:  3.4556e+03 -3.9827e+03  7e+03  1e-16  2e-14\n",
      "19:  4.7417e+02 -5.9111e+02  1e+03  2e-16  1e-14\n",
      "20:  5.9273e+01 -9.3019e+01  2e+02  1e-16  5e-15\n",
      "21:  4.4529e+00 -1.7016e+01  2e+01  2e-16  1e-15\n",
      "22: -1.7638e+00 -4.5080e+00  3e+00  1e-16  5e-16\n",
      "23: -2.2398e+00 -2.4460e+00  2e-01  2e-16  2e-16\n",
      "24: -2.2699e+00 -2.2863e+00  2e-02  2e-16  7e-17\n",
      "25: -2.2710e+00 -2.2717e+00  7e-04  2e-16  7e-17\n",
      "26: -2.2710e+00 -2.2710e+00  8e-06  2e-16  6e-17\n",
      "27: -2.2710e+00 -2.2710e+00  8e-08  3e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.1044e+01 -1.1971e+06  2e+02  1e+00  1e+00\n",
      " 2:  8.5456e+01 -2.1462e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.2029e+01 -1.0436e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.0248e+01 -8.0430e+07  2e+04  1e+00  1e+00\n",
      " 5:  4.7817e+01 -8.5807e+09  2e+06  1e+00  1e+00\n",
      " 6:  3.0897e+08 -2.0423e+17  2e+17  4e-13  3e-04\n",
      " 7:  3.0897e+08 -2.0423e+15  2e+15  4e-15  2e-04\n",
      " 8:  3.0897e+08 -2.0428e+13  2e+13  2e-16  2e-06\n",
      " 9:  3.0891e+08 -2.0886e+11  2e+11  2e-16  3e-08\n",
      "10:  3.0352e+08 -6.6021e+09  7e+09  1e-16  8e-10\n",
      "11:  8.8508e+07 -1.2999e+09  1e+09  2e-16  2e-10\n",
      "12:  2.3915e+07 -5.5271e+07  8e+07  2e-16  1e-11\n",
      "13:  3.5956e+06 -3.9599e+06  8e+06  3e-16  5e-13\n",
      "14:  5.1636e+05 -5.7761e+05  1e+06  2e-16  4e-13\n",
      "15:  7.3847e+04 -8.2196e+04  2e+05  2e-16  2e-13\n",
      "16:  1.0501e+04 -1.1844e+04  2e+04  1e-16  5e-14\n",
      "17:  1.4723e+03 -1.7283e+03  3e+03  3e-16  1e-14\n",
      "18:  1.9799e+02 -2.6027e+02  5e+02  2e-16  6e-15\n",
      "19:  2.2818e+01 -4.2527e+01  7e+01  2e-16  2e-15\n",
      "20:  4.6049e-01 -8.5790e+00  9e+00  1e-16  9e-16\n",
      "21: -1.8273e+00 -3.2764e+00  1e+00  2e-16  4e-16\n",
      "22: -2.2368e+00 -2.5661e+00  3e-01  1e-16  2e-16\n",
      "23: -2.2706e+00 -2.2943e+00  2e-02  2e-16  9e-17\n",
      "24: -2.2730e+00 -2.2754e+00  2e-03  2e-16  5e-17\n",
      "25: -2.2731e+00 -2.2732e+00  9e-05  1e-16  2e-16\n",
      "26: -2.2731e+00 -2.2731e+00  1e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.2207e+01 -1.3294e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.8442e+01 -2.4098e+06  5e+02  1e+00  1e+00\n",
      " 3:  3.1168e+00 -1.2146e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.3716e+01 -5.3385e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.9009e+01 -9.5081e+08  2e+05  1e+00  1e+00\n",
      " 6:  4.3897e+01 -4.9467e+11  1e+08  1e+00  1e+00\n",
      " 7:  4.9718e+08 -1.0011e+19  1e+19  4e-13  1e-02\n",
      " 8:  4.9718e+08 -1.0011e+17  1e+17  4e-15  5e-03\n",
      " 9:  4.9718e+08 -1.0011e+15  1e+15  2e-16  5e-05\n",
      "10:  4.9718e+08 -1.0017e+13  1e+13  2e-16  6e-07\n",
      "11:  4.9680e+08 -1.0568e+11  1e+11  2e-16  7e-09\n",
      "12:  4.6442e+08 -6.2750e+09  7e+09  2e-16  5e-09\n",
      "13:  1.0743e+08 -1.8402e+09  2e+09  2e-16  3e-10\n",
      "14:  2.7747e+07 -7.9859e+07  1e+08  2e-16  1e-11\n",
      "15:  4.2096e+06 -4.8096e+06  9e+06  1e-16  7e-13\n",
      "16:  6.0419e+05 -6.7238e+05  1e+06  2e-16  4e-13\n",
      "17:  8.6459e+04 -9.6077e+04  2e+05  2e-16  2e-13\n",
      "18:  1.2314e+04 -1.3821e+04  3e+04  2e-16  6e-14\n",
      "19:  1.7337e+03 -2.0100e+03  4e+03  2e-16  2e-14\n",
      "20:  2.3605e+02 -3.0001e+02  5e+02  2e-16  7e-15\n",
      "21:  2.8494e+01 -4.7984e+01  8e+01  1e-16  3e-15\n",
      "22:  1.3328e+00 -9.2862e+00  1e+01  3e-16  5e-16\n",
      "23: -1.7097e+00 -3.4773e+00  2e+00  2e-16  2e-16\n",
      "24: -2.2290e+00 -2.5253e+00  3e-01  1e-16  1e-16\n",
      "25: -2.2706e+00 -2.3103e+00  4e-02  2e-16  7e-17\n",
      "26: -2.2739e+00 -2.2797e+00  6e-03  2e-16  1e-16\n",
      "27: -2.2740e+00 -2.2741e+00  8e-05  2e-16  8e-17\n",
      "28: -2.2740e+00 -2.2740e+00  8e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.3607e+01 -1.5161e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.2211e+02 -2.8468e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.0013e+01 -1.3182e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.3784e+01 -5.1869e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.4159e+01 -6.3399e+08  1e+05  1e+00  1e+00\n",
      " 6:  3.8610e+01 -1.0341e+11  2e+07  1e+00  1e+00\n",
      " 7:  1.7221e+09 -2.4008e+18  2e+18  5e-13  1e-03\n",
      " 8:  1.7221e+09 -2.4008e+16  2e+16  5e-15  9e-04\n",
      " 9:  1.7221e+09 -2.4009e+14  2e+14  2e-16  2e-05\n",
      "10:  1.7221e+09 -2.4083e+12  2e+12  1e-16  2e-07\n",
      "11:  1.7164e+09 -3.1482e+10  3e+10  2e-16  3e-09\n",
      "12:  1.3373e+09 -6.1592e+09  7e+09  1e-16  3e-07\n",
      "13:  1.7074e+08 -2.4636e+09  3e+09  3e-16  9e-11\n",
      "14:  4.7301e+07 -9.1948e+07  1e+08  1e-16  4e-12\n",
      "15:  7.2177e+06 -8.0672e+06  2e+07  2e-16  2e-12\n",
      "16:  1.0366e+06 -1.1541e+06  2e+06  1e-16  3e-13\n",
      "17:  1.4842e+05 -1.6461e+05  3e+05  2e-16  1e-13\n",
      "18:  2.1168e+04 -2.3657e+04  4e+04  2e-16  6e-14\n",
      "19:  2.9922e+03 -3.4289e+03  6e+03  2e-16  3e-14\n",
      "20:  4.1249e+02 -5.0723e+02  9e+02  2e-16  8e-15\n",
      "21:  5.2309e+01 -7.9149e+01  1e+02  2e-16  4e-15\n",
      "22:  4.2310e+00 -1.4269e+01  2e+01  2e-16  1e-15\n",
      "23: -1.5130e+00 -3.8440e+00  2e+00  1e-16  5e-16\n",
      "24: -2.2058e+00 -2.6199e+00  4e-01  1e-16  2e-16\n",
      "25: -2.2710e+00 -2.3058e+00  3e-02  3e-16  1e-16\n",
      "26: -2.2744e+00 -2.2774e+00  3e-03  2e-16  1e-16\n",
      "27: -2.2746e+00 -2.2748e+00  2e-04  1e-16  7e-17\n",
      "28: -2.2746e+00 -2.2746e+00  3e-06  2e-16  1e-16\n",
      "29: -2.2746e+00 -2.2746e+00  3e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  6.3154e+01 -1.7640e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.3443e+02 -3.2709e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.2356e+01 -1.4299e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.1593e+01 -5.3205e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.7073e+01 -5.6761e+08  1e+05  1e+00  1e+00\n",
      " 6:  5.6940e+01 -8.1722e+10  2e+07  1e+00  1e+00\n",
      " 7:  1.1938e+09 -1.9131e+18  2e+18  5e-13  1e-03\n",
      " 8:  1.1938e+09 -1.9131e+16  2e+16  5e-15  7e-04\n",
      " 9:  1.1938e+09 -1.9131e+14  2e+14  2e-16  8e-06\n",
      "10:  1.1937e+09 -1.9207e+12  2e+12  2e-16  1e-07\n",
      "11:  1.1878e+09 -2.6718e+10  3e+10  2e-16  2e-09\n",
      "12:  8.8698e+08 -5.8706e+09  7e+09  1e-16  4e-07\n",
      "13:  1.6266e+08 -1.5199e+09  2e+09  2e-16  2e-11\n",
      "14:  3.7191e+07 -6.1212e+07  1e+08  2e-16  4e-12\n",
      "15:  5.4083e+06 -5.8003e+06  1e+07  3e-16  1e-12\n",
      "16:  7.7655e+05 -8.6699e+05  2e+06  2e-16  5e-13\n",
      "17:  1.1112e+05 -1.2324e+05  2e+05  2e-16  1e-13\n",
      "18:  1.5834e+04 -1.7737e+04  3e+04  2e-16  5e-14\n",
      "19:  2.2332e+03 -2.5759e+03  5e+03  3e-16  2e-14\n",
      "20:  3.0577e+02 -3.8299e+02  7e+02  2e-16  9e-15\n",
      "21:  3.7804e+01 -6.0566e+01  1e+02  2e-16  2e-15\n",
      "22:  2.4519e+00 -1.1312e+01  1e+01  1e-16  1e-15\n",
      "23: -1.5519e+00 -3.7139e+00  2e+00  2e-16  3e-16\n",
      "24: -2.2062e+00 -2.6886e+00  5e-01  2e-16  2e-16\n",
      "25: -2.2710e+00 -2.3107e+00  4e-02  2e-16  8e-17\n",
      "26: -2.2746e+00 -2.2785e+00  4e-03  2e-16  9e-17\n",
      "27: -2.2748e+00 -2.2751e+00  3e-04  2e-16  8e-17\n",
      "28: -2.2748e+00 -2.2749e+00  7e-06  2e-16  2e-16\n",
      "29: -2.2748e+00 -2.2748e+00  7e-08  2e-16  2e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  HSQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.1228e+01 -2.7904e+05  6e+01  1e+00  1e+00\n",
      " 2:  2.0751e+00 -2.3196e+06  5e+02  1e+00  1e+00\n",
      " 3:  8.2702e+00 -2.3121e+08  5e+04  1e+00  1e+00\n",
      " 4:  2.0880e+01 -7.2660e+11  2e+08  1e+00  1e+00\n",
      " 5:  5.0473e+04 -6.4764e+18  6e+18  2e-13  2e-02\n",
      " 6:  5.0473e+04 -6.4764e+16  6e+16  2e-15  8e-03\n",
      " 7:  5.0473e+04 -6.4764e+14  6e+14  1e-16  1e-04\n",
      " 8:  5.0473e+04 -6.4764e+12  6e+12  5e-17  6e-07\n",
      " 9:  5.0473e+04 -6.4764e+10  6e+10  2e-16  9e-09\n",
      "10:  5.0422e+04 -6.4776e+08  6e+08  3e-16  9e-11\n",
      "11:  4.5797e+04 -6.5824e+06  7e+06  1e-16  2e-12\n",
      "12:  9.2292e+03 -7.7719e+04  9e+04  3e-16  3e-14\n",
      "13:  1.3277e+03 -2.1156e+03  3e+03  1e-16  9e-15\n",
      "14:  1.7748e+02 -2.2780e+02  4e+02  1e-16  8e-15\n",
      "15:  2.0387e+01 -3.8306e+01  6e+01  3e-16  9e-16\n",
      "16:  3.3083e-01 -7.7586e+00  8e+00  1e-16  5e-16\n",
      "17: -1.7893e+00 -2.6966e+00  9e-01  2e-16  8e-17\n",
      "18: -1.9895e+00 -2.1013e+00  1e-01  1e-16  5e-18\n",
      "19: -1.9977e+00 -2.0013e+00  4e-03  3e-17  1e-16\n",
      "20: -1.9978e+00 -1.9978e+00  4e-05  1e-16  1e-16\n",
      "21: -1.9978e+00 -1.9978e+00  4e-07  3e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.9543e+01 -4.5711e+05  9e+01  1e+00  1e+00\n",
      " 2:  1.6321e+00 -2.5896e+06  5e+02  1e+00  1e+00\n",
      " 3:  6.6826e+00 -1.0174e+07  2e+03  1e+00  1e+00\n",
      " 4:  8.6848e+00 -1.3775e+08  3e+04  1e+00  1e+00\n",
      " 5:  9.9719e+00 -2.8644e+10  6e+06  1e+00  1e+00\n",
      " 6:  3.4542e+08 -6.5316e+17  7e+17  3e-13  5e-04\n",
      " 7:  3.4542e+08 -6.5316e+15  7e+15  3e-15  4e-04\n",
      " 8:  3.4542e+08 -6.5318e+13  7e+13  7e-17  4e-06\n",
      " 9:  3.4541e+08 -6.5452e+11  7e+11  1e-16  8e-08\n",
      "10:  3.4483e+08 -7.8868e+09  8e+09  8e-17  1e-09\n",
      "11:  3.0135e+08 -1.2545e+09  2e+09  2e-16  1e-07\n",
      "12:  2.4812e+07 -7.6631e+08  8e+08  3e-16  1e-11\n",
      "13:  6.9187e+06 -2.6811e+07  3e+07  5e-17  2e-12\n",
      "14:  1.0675e+06 -1.2826e+06  2e+06  1e-16  2e-13\n",
      "15:  1.5286e+05 -1.6944e+05  3e+05  5e-17  2e-13\n",
      "16:  2.1793e+04 -2.4481e+04  5e+04  1e-16  6e-14\n",
      "17:  3.0732e+03 -3.5509e+03  7e+03  2e-16  2e-14\n",
      "18:  4.2055e+02 -5.2813e+02  9e+02  5e-17  7e-15\n",
      "19:  5.2038e+01 -8.3547e+01  1e+02  2e-16  2e-15\n",
      "20:  3.6047e+00 -1.5482e+01  2e+01  3e-16  8e-16\n",
      "21: -1.7858e+00 -4.2050e+00  2e+00  3e-16  3e-16\n",
      "22: -2.1571e+00 -2.3270e+00  2e-01  1e-16  2e-16\n",
      "23: -2.1700e+00 -2.1781e+00  8e-03  2e-16  1e-16\n",
      "24: -2.1700e+00 -2.1701e+00  8e-05  3e-16  2e-16\n",
      "25: -2.1700e+00 -2.1700e+00  8e-07  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.5905e+01 -6.4877e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.6058e+01 -1.4108e+06  3e+02  1e+00  1e+00\n",
      " 3:  1.3734e+00 -2.5084e+07  5e+03  1e+00  1e+00\n",
      " 4:  2.5958e+00 -3.0645e+08  6e+04  1e+00  1e+00\n",
      " 5:  3.8362e+00 -4.3012e+10  9e+06  1e+00  1e+00\n",
      " 6:  1.2551e+09 -1.0030e+18  1e+18  3e-13  1e-03\n",
      " 7:  1.2551e+09 -1.0030e+16  1e+16  3e-15  6e-04\n",
      " 8:  1.2551e+09 -1.0031e+14  1e+14  1e-16  7e-06\n",
      " 9:  1.2551e+09 -1.0064e+12  1e+12  1e-16  1e-07\n",
      "10:  1.2533e+09 -1.3390e+10  1e+10  2e-16  2e-09\n",
      "11:  1.1143e+09 -3.0972e+09  4e+09  2e-16  5e-10\n",
      "12:  5.5361e+07 -4.4987e+09  5e+09  1e-16  2e-10\n",
      "13:  2.8414e+07 -2.4413e+08  3e+08  2e-16  1e-11\n",
      "14:  4.6145e+06 -7.4706e+06  1e+07  2e-16  8e-13\n",
      "15:  6.6242e+05 -7.2544e+05  1e+06  2e-16  2e-13\n",
      "16:  9.4917e+04 -1.0630e+05  2e+05  1e-16  1e-13\n",
      "17:  1.3514e+04 -1.5221e+04  3e+04  9e-17  8e-14\n",
      "18:  1.8988e+03 -2.2168e+03  4e+03  2e-16  1e-14\n",
      "19:  2.5689e+02 -3.3238e+02  6e+02  1e-16  7e-15\n",
      "20:  3.0324e+01 -5.3753e+01  8e+01  2e-16  2e-15\n",
      "21:  1.1163e+00 -1.0582e+01  1e+01  2e-16  5e-16\n",
      "22: -1.9920e+00 -3.3726e+00  1e+00  2e-16  2e-16\n",
      "23: -2.2228e+00 -2.3443e+00  1e-01  2e-16  1e-16\n",
      "24: -2.2313e+00 -2.2353e+00  4e-03  1e-16  6e-17\n",
      "25: -2.2314e+00 -2.2314e+00  4e-05  2e-16  2e-16\n",
      "26: -2.2314e+00 -2.2314e+00  4e-07  9e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.2985e+01 -8.6175e+05  2e+02  1e+00  1e+00\n",
      " 2:  6.3936e+01 -1.5994e+06  3e+02  1e+00  1e+00\n",
      " 3:  1.1996e+01 -7.0748e+06  1e+03  1e+00  1e+00\n",
      " 4:  2.5734e+01 -5.1474e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.1224e+01 -5.1157e+09  1e+06  1e+00  1e+00\n",
      " 6:  2.7555e+08 -1.2215e+17  1e+17  3e-13  1e-04\n",
      " 7:  2.7555e+08 -1.2215e+15  1e+15  3e-15  9e-05\n",
      " 8:  2.7555e+08 -1.2218e+13  1e+13  2e-16  1e-06\n",
      " 9:  2.7548e+08 -1.2488e+11  1e+11  2e-16  1e-08\n",
      "10:  2.6930e+08 -3.8873e+09  4e+09  2e-16  4e-10\n",
      "11:  5.9850e+07 -6.7244e+08  7e+08  1e-16  1e-09\n",
      "12:  1.5515e+07 -3.4880e+07  5e+07  1e-16  6e-11\n",
      "13:  2.2947e+06 -2.5039e+06  5e+06  2e-16  6e-13\n",
      "14:  3.2957e+05 -3.7038e+05  7e+05  1e-16  2e-13\n",
      "15:  4.7081e+04 -5.2617e+04  1e+05  2e-16  5e-14\n",
      "16:  6.6736e+03 -7.6023e+03  1e+04  1e-16  3e-14\n",
      "17:  9.2696e+02 -1.1175e+03  2e+03  5e-17  7e-15\n",
      "18:  1.2096e+02 -1.7161e+02  3e+02  3e-16  6e-15\n",
      "19:  1.2102e+01 -2.9466e+01  4e+01  1e-16  2e-15\n",
      "20: -1.0547e+00 -6.6696e+00  6e+00  3e-16  8e-16\n",
      "21: -2.1856e+00 -2.7236e+00  5e-01  2e-16  6e-17\n",
      "22: -2.2511e+00 -2.3208e+00  7e-02  2e-16  8e-17\n",
      "23: -2.2554e+00 -2.2573e+00  2e-03  2e-16  2e-16\n",
      "24: -2.2554e+00 -2.2554e+00  2e-05  2e-16  8e-17\n",
      "25: -2.2554e+00 -2.2554e+00  2e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.6419e+01 -1.1445e+06  2e+02  1e+00  1e+00\n",
      " 2:  7.0946e+01 -2.1032e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.9055e+01 -9.6001e+06  2e+03  1e+00  1e+00\n",
      " 4:  3.6553e+01 -8.0511e+07  2e+04  1e+00  1e+00\n",
      " 5:  4.2753e+01 -1.2337e+10  3e+06  1e+00  1e+00\n",
      " 6:  3.1240e+08 -2.8821e+17  3e+17  2e-13  2e-04\n",
      " 7:  3.1240e+08 -2.8821e+15  3e+15  2e-15  2e-04\n",
      " 8:  3.1240e+08 -2.8825e+13  3e+13  3e-16  2e-06\n",
      " 9:  3.1236e+08 -2.9215e+11  3e+11  2e-16  2e-08\n",
      "10:  3.0873e+08 -6.7786e+09  7e+09  2e-16  5e-10\n",
      "11:  1.2076e+08 -7.4664e+08  9e+08  1e-16  9e-09\n",
      "12:  2.2259e+07 -3.1628e+07  5e+07  2e-16  5e-11\n",
      "13:  3.2435e+06 -3.6735e+06  7e+06  3e-16  7e-13\n",
      "14:  4.6610e+05 -5.2272e+05  1e+06  1e-16  2e-13\n",
      "15:  6.6645e+04 -7.4414e+04  1e+05  2e-16  9e-14\n",
      "16:  9.4643e+03 -1.0726e+04  2e+04  1e-16  3e-14\n",
      "17:  1.3214e+03 -1.5702e+03  3e+03  2e-16  2e-14\n",
      "18:  1.7540e+02 -2.3853e+02  4e+02  1e-16  5e-15\n",
      "19:  1.9117e+01 -3.9839e+01  6e+01  1e-16  2e-15\n",
      "20: -3.2999e-01 -8.4323e+00  8e+00  2e-16  7e-16\n",
      "21: -2.1491e+00 -3.0177e+00  9e-01  2e-16  3e-16\n",
      "22: -2.2553e+00 -2.3947e+00  1e-01  1e-16  1e-16\n",
      "23: -2.2686e+00 -2.2766e+00  8e-03  2e-16  4e-17\n",
      "24: -2.2686e+00 -2.2687e+00  9e-05  1e-16  1e-16\n",
      "25: -2.2686e+00 -2.2686e+00  9e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.6145e+01 -1.3476e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.0146e+02 -2.4009e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.6364e+01 -1.3006e+07  3e+03  1e+00  1e+00\n",
      " 4:  5.0636e+01 -7.8637e+07  2e+04  1e+00  1e+00\n",
      " 5:  5.5078e+01 -4.1607e+09  8e+05  1e+00  1e+00\n",
      " 6:  2.6694e+01 -5.3585e+13  4e+10  1e+00  1e+00\n",
      " 7:  4.1292e+08 -9.9788e+19  1e+20  1e-13  8e-02\n",
      " 8:  4.1292e+08 -9.9788e+17  1e+18  1e-15  5e-02\n",
      " 9:  4.1292e+08 -9.9788e+15  1e+16  2e-16  5e-04\n",
      "10:  4.1292e+08 -9.9793e+13  1e+14  2e-16  9e-06\n",
      "11:  4.1291e+08 -1.0034e+12  1e+12  1e-16  8e-08\n",
      "12:  4.1141e+08 -1.5465e+10  2e+10  2e-16  1e-09\n",
      "13:  3.3940e+08 -4.2863e+09  5e+09  2e-16  3e-07\n",
      "14:  7.3482e+07 -1.3494e+09  1e+09  3e-16  5e-09\n",
      "15:  1.7975e+07 -4.5085e+07  6e+07  3e-16  1e-10\n",
      "16:  2.6817e+06 -2.9906e+06  6e+06  2e-16  1e-12\n",
      "17:  3.8443e+05 -4.2774e+05  8e+05  2e-16  3e-13\n",
      "18:  5.4912e+04 -6.1218e+04  1e+05  2e-16  8e-14\n",
      "19:  7.7887e+03 -8.8443e+03  2e+04  1e-16  4e-14\n",
      "20:  1.0843e+03 -1.2983e+03  2e+03  2e-16  6e-15\n",
      "21:  1.4261e+02 -1.9843e+02  3e+02  3e-16  5e-15\n",
      "22:  1.4854e+01 -3.3654e+01  5e+01  3e-16  1e-15\n",
      "23: -7.9985e-01 -7.4021e+00  7e+00  1e-16  3e-16\n",
      "24: -2.2019e+00 -2.8676e+00  7e-01  2e-16  2e-16\n",
      "25: -2.2819e+00 -2.4526e+00  2e-01  1e-16  9e-17\n",
      "26: -2.2983e+00 -2.3182e+00  2e-02  2e-16  8e-17\n",
      "27: -2.2986e+00 -2.2990e+00  4e-04  2e-16  1e-16\n",
      "28: -2.2986e+00 -2.2986e+00  4e-06  3e-16  7e-17\n",
      "29: -2.2986e+00 -2.2986e+00  4e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.5974e+01 -1.5472e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.2954e+02 -2.9043e+06  5e+02  1e+00  1e+00\n",
      " 3:  7.4627e+01 -8.7157e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.4282e+02 -1.0415e+08  2e+04  1e+00  1e+00\n",
      " 5:  6.9834e+00 -6.3804e+10  1e+07  1e+00  1e+00\n",
      " 6:  2.6904e+09 -1.2542e+18  1e+18  4e-13  1e-03\n",
      " 7:  2.6904e+09 -1.2542e+16  1e+16  4e-15  5e-04\n",
      " 8:  2.6904e+09 -1.2543e+14  1e+14  1e-16  7e-06\n",
      " 9:  2.6902e+09 -1.2633e+12  1e+12  2e-16  5e-08\n",
      "10:  2.6663e+09 -2.1634e+10  2e+10  2e-16  1e-09\n",
      "11:  1.9099e+09 -7.7131e+09  1e+10  1e-16  4e-10\n",
      "12:  7.7127e+08 -8.0576e+09  9e+09  1e-16  2e-10\n",
      "13:  2.7679e+08 -7.6757e+08  1e+09  2e-16  2e-11\n",
      "14:  4.4148e+07 -5.4342e+07  1e+08  1e-16  2e-12\n",
      "15:  6.3911e+06 -7.2218e+06  1e+07  2e-16  1e-12\n",
      "16:  9.1785e+05 -1.0223e+06  2e+06  2e-16  5e-13\n",
      "17:  1.3134e+05 -1.4600e+05  3e+05  1e-16  3e-13\n",
      "18:  1.8700e+04 -2.1009e+04  4e+04  2e-16  7e-14\n",
      "19:  2.6312e+03 -3.0569e+03  6e+03  1e-16  1e-14\n",
      "20:  3.5783e+02 -4.5680e+02  8e+02  2e-16  8e-15\n",
      "21:  4.3263e+01 -7.3103e+01  1e+02  2e-16  2e-15\n",
      "22:  2.3884e+00 -1.3929e+01  2e+01  2e-16  1e-15\n",
      "23: -1.9957e+00 -4.0071e+00  2e+00  2e-16  3e-16\n",
      "24: -2.2644e+00 -2.6244e+00  4e-01  2e-16  7e-17\n",
      "25: -2.3133e+00 -2.3775e+00  6e-02  1e-16  9e-17\n",
      "26: -2.3151e+00 -2.3175e+00  2e-03  1e-16  9e-17\n",
      "27: -2.3152e+00 -2.3152e+00  3e-05  2e-16  9e-17\n",
      "28: -2.3152e+00 -2.3152e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.8570e+01 -1.8071e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.5638e+02 -3.4705e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.4406e+02 -7.2234e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.5708e+01 -1.0259e+08  2e+04  1e+00  1e+00\n",
      " 5:  4.6551e+01 -1.5240e+09  3e+05  1e+00  1e+00\n",
      " 6:  7.5518e+01 -5.6095e+11  1e+08  1e+00  1e+00\n",
      " 7:  9.2391e+08 -1.1981e+19  1e+19  4e-13  1e-02\n",
      " 8:  9.2391e+08 -1.1981e+17  1e+17  4e-15  6e-03\n",
      " 9:  9.2391e+08 -1.1981e+15  1e+15  2e-16  7e-05\n",
      "10:  9.2390e+08 -1.1994e+13  1e+13  7e-17  6e-07\n",
      "11:  9.2300e+08 -1.3206e+11  1e+11  1e-16  9e-09\n",
      "12:  8.5658e+08 -1.2915e+10  1e+10  2e-16  1e-09\n",
      "13:  2.9891e+08 -1.2098e+10  1e+10  2e-16  8e-10\n",
      "14:  1.3466e+08 -5.6576e+08  7e+08  1e-16  4e-11\n",
      "15:  2.2586e+07 -2.9483e+07  5e+07  2e-16  2e-12\n",
      "16:  3.2476e+06 -3.5819e+06  7e+06  2e-16  1e-12\n",
      "17:  4.6558e+05 -5.1742e+05  1e+06  1e-16  2e-13\n",
      "18:  6.6511e+04 -7.4059e+04  1e+05  2e-16  1e-13\n",
      "19:  9.4398e+03 -1.0696e+04  2e+04  2e-16  5e-14\n",
      "20:  1.3168e+03 -1.5677e+03  3e+03  2e-16  2e-14\n",
      "21:  1.7434e+02 -2.3861e+02  4e+02  5e-17  5e-15\n",
      "22:  1.8785e+01 -4.0021e+01  6e+01  3e-16  3e-15\n",
      "23: -4.8256e-01 -8.5518e+00  8e+00  2e-16  7e-16\n",
      "24: -2.2474e+00 -3.1060e+00  9e-01  2e-16  2e-16\n",
      "25: -2.3149e+00 -2.3974e+00  8e-02  2e-16  9e-17\n",
      "26: -2.3216e+00 -2.3374e+00  2e-02  2e-16  6e-17\n",
      "27: -2.3222e+00 -2.3228e+00  6e-04  2e-16  1e-16\n",
      "28: -2.3222e+00 -2.3222e+00  2e-05  2e-16  1e-16\n",
      "29: -2.3222e+00 -2.3222e+00  7e-07  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  6.9770e+01 -2.1882e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.6875e+02 -3.8963e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.9034e+02 -7.7103e+06  1e+03  1e+00  1e+00\n",
      " 4:  3.2531e+01 -5.2654e+07  1e+04  1e+00  1e+00\n",
      " 5:  8.3753e+01 -4.6812e+08  9e+04  1e+00  1e+00\n",
      " 6:  1.2395e+02 -8.0801e+10  2e+07  1e+00  1e+00\n",
      " 7:  6.8650e+08 -1.8701e+18  2e+18  5e-13  1e-03\n",
      " 8:  6.8650e+08 -1.8701e+16  2e+16  5e-15  5e-04\n",
      " 9:  6.8650e+08 -1.8703e+14  2e+14  2e-16  8e-06\n",
      "10:  6.8647e+08 -1.8822e+12  2e+12  2e-16  1e-07\n",
      "11:  6.8295e+08 -3.0775e+10  3e+10  2e-16  2e-09\n",
      "12:  5.8940e+08 -9.7098e+09  1e+10  1e-16  2e-09\n",
      "13:  2.4253e+08 -6.4339e+09  7e+09  6e-16  8e-10\n",
      "14:  8.0109e+07 -2.0297e+08  3e+08  2e-16  3e-11\n",
      "15:  1.2343e+07 -1.3973e+07  3e+07  2e-16  1e-12\n",
      "16:  1.7717e+06 -1.9673e+06  4e+06  2e-16  8e-13\n",
      "17:  2.5365e+05 -2.8122e+05  5e+05  2e-16  2e-13\n",
      "18:  3.6180e+04 -4.0414e+04  8e+04  2e-16  7e-14\n",
      "19:  5.1163e+03 -5.8564e+03  1e+04  3e-16  3e-14\n",
      "20:  7.0639e+02 -8.6547e+02  2e+03  2e-16  1e-14\n",
      "21:  9.0344e+01 -1.3453e+02  2e+02  1e-16  5e-15\n",
      "22:  8.0564e+00 -2.3803e+01  3e+01  2e-16  1e-15\n",
      "23: -1.5545e+00 -5.7733e+00  4e+00  2e-16  5e-16\n",
      "24: -2.2822e+00 -2.6359e+00  4e-01  2e-16  2e-16\n",
      "25: -2.3159e+00 -2.3718e+00  6e-02  1e-16  7e-17\n",
      "26: -2.3236e+00 -2.3343e+00  1e-02  2e-16  1e-16\n",
      "27: -2.3241e+00 -2.3246e+00  5e-04  1e-16  1e-16\n",
      "28: -2.3242e+00 -2.3242e+00  2e-05  2e-16  9e-17\n",
      "29: -2.3242e+00 -2.3242e+00  3e-06  1e-16  8e-17\n",
      "30: -2.3242e+00 -2.3242e+00  3e-07  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "processing  DEQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.2931e+01 -2.0067e+05  4e+01  1e+00  1e+00\n",
      " 2:  2.6698e+00 -2.9933e+06  6e+02  1e+00  1e+00\n",
      " 3:  7.7626e+00 -8.4937e+08  2e+05  1e+00  1e+00\n",
      " 4:  8.6894e+06 -1.8983e+16  2e+16  5e-13  8e-05\n",
      " 5:  8.6894e+06 -1.8983e+14  2e+14  5e-15  3e-05\n",
      " 6:  8.6893e+06 -1.8984e+12  2e+12  7e-17  8e-07\n",
      " 7:  8.6857e+06 -1.9009e+10  2e+10  3e-16  6e-09\n",
      " 8:  8.3425e+06 -2.1439e+08  2e+08  3e-16  5e-11\n",
      " 9:  2.3418e+06 -6.6958e+06  9e+06  8e-17  7e-13\n",
      "10:  3.5064e+05 -3.9548e+05  7e+05  3e-16  1e-13\n",
      "11:  5.0223e+04 -5.6046e+04  1e+05  2e-16  9e-14\n",
      "12:  7.1541e+03 -8.0522e+03  2e+04  2e-16  0e+00\n",
      "13:  1.0062e+03 -1.1721e+03  2e+03  9e-17  8e-15\n",
      "14:  1.3654e+02 -1.7546e+02  3e+02  2e-16  4e-15\n",
      "15:  1.6349e+01 -2.8219e+01  4e+01  8e-17  5e-16\n",
      "16:  7.9859e-01 -5.4442e+00  6e+00  2e-16  2e-15\n",
      "17: -8.4106e-01 -1.6055e+00  8e-01  2e-16  3e-16\n",
      "18: -9.2776e-01 -9.6791e-01  4e-02  3e-16  2e-16\n",
      "19: -9.2820e-01 -9.2862e-01  4e-04  2e-16  1e-17\n",
      "20: -9.2820e-01 -9.2820e-01  4e-06  2e-16  5e-17\n",
      "21: -9.2820e-01 -9.2820e-01  4e-08  3e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.7872e+01 -3.1112e+05  6e+01  1e+00  1e+00\n",
      " 2:  3.9060e+00 -2.7025e+06  6e+02  1e+00  1e+00\n",
      " 3:  7.7242e+00 -3.8862e+07  8e+03  1e+00  1e+00\n",
      " 4:  1.9856e+01 -1.3139e+10  3e+06  1e+00  1e+00\n",
      " 5:  8.6900e+05 -2.8540e+17  3e+17  9e-13  6e-04\n",
      " 6:  8.6900e+05 -2.8540e+15  3e+15  9e-15  3e-04\n",
      " 7:  8.6900e+05 -2.8540e+13  3e+13  1e-16  9e-06\n",
      " 8:  8.6899e+05 -2.8540e+11  3e+11  2e-16  1e-07\n",
      " 9:  8.6798e+05 -2.8571e+09  3e+09  3e-16  1e-09\n",
      "10:  7.7824e+05 -3.1254e+07  3e+07  2e-16  9e-12\n",
      "11:  1.5838e+05 -5.2801e+05  7e+05  3e-16  1e-13\n",
      "12:  2.3277e+04 -2.7353e+04  5e+04  3e-16  1e-13\n",
      "13:  3.3028e+03 -3.7208e+03  7e+03  3e-16  2e-14\n",
      "14:  4.6128e+02 -5.4770e+02  1e+03  1e-16  6e-15\n",
      "15:  6.1176e+01 -8.3183e+01  1e+02  2e-16  6e-15\n",
      "16:  6.5560e+00 -1.3962e+01  2e+01  3e-16  1e-15\n",
      "17: -2.9672e-01 -3.0788e+00  3e+00  3e-16  4e-16\n",
      "18: -1.0011e+00 -1.3404e+00  3e-01  7e-17  2e-16\n",
      "19: -1.0536e+00 -1.0804e+00  3e-02  2e-16  5e-17\n",
      "20: -1.0545e+00 -1.0549e+00  4e-04  3e-17  6e-17\n",
      "21: -1.0545e+00 -1.0545e+00  4e-06  2e-16  1e-16\n",
      "22: -1.0545e+00 -1.0545e+00  4e-08  1e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.1217e+01 -4.3358e+05  8e+01  1e+00  1e+00\n",
      " 2:  2.8386e+01 -1.0093e+06  2e+02  1e+00  1e+00\n",
      " 3:  5.8696e+00 -1.8911e+07  4e+03  1e+00  1e+00\n",
      " 4:  6.5489e+00 -3.9454e+08  8e+04  1e+00  1e+00\n",
      " 5:  7.0383e+00 -1.9250e+11  4e+07  1e+00  1e+00\n",
      " 6:  8.3832e+08 -3.9209e+18  4e+18  5e-13  1e-02\n",
      " 7:  8.3832e+08 -3.9209e+16  4e+16  5e-15  6e-03\n",
      " 8:  8.3832e+08 -3.9210e+14  4e+14  2e-16  6e-05\n",
      " 9:  8.3831e+08 -3.9235e+12  4e+12  2e-16  6e-07\n",
      "10:  8.3802e+08 -4.1741e+10  4e+10  1e-16  9e-09\n",
      "11:  8.1029e+08 -2.8395e+09  4e+09  2e-16  2e-09\n",
      "12:  2.6909e+07 -3.3520e+09  3e+09  1e-16  8e-10\n",
      "13:  1.3815e+07 -1.4258e+08  2e+08  2e-16  4e-11\n",
      "14:  2.2820e+06 -4.3388e+06  7e+06  2e-16  1e-12\n",
      "15:  3.3096e+05 -3.6282e+05  7e+05  1e-16  1e-13\n",
      "16:  4.7422e+04 -5.2904e+04  1e+05  2e-16  7e-14\n",
      "17:  6.7595e+03 -7.5803e+03  1e+04  2e-16  2e-14\n",
      "18:  9.5297e+02 -1.1013e+03  2e+03  1e-16  2e-14\n",
      "19:  1.3013e+02 -1.6404e+02  3e+02  4e-16  3e-15\n",
      "20:  1.5841e+01 -2.6142e+01  4e+01  2e-16  2e-15\n",
      "21:  7.9671e-01 -5.0548e+00  6e+00  7e-17  6e-16\n",
      "22: -9.2907e-01 -1.7631e+00  8e-01  3e-16  4e-16\n",
      "23: -1.1001e+00 -1.1896e+00  9e-02  1e-16  6e-17\n",
      "24: -1.1054e+00 -1.1074e+00  2e-03  2e-16  6e-17\n",
      "25: -1.1054e+00 -1.1054e+00  2e-05  2e-16  6e-17\n",
      "26: -1.1054e+00 -1.1054e+00  2e-07  7e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.4546e+01 -6.5754e+05  1e+02  1e+00  1e+00\n",
      " 2:  7.9017e+00 -2.6698e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.3127e+01 -1.4857e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.8920e+01 -7.7463e+08  2e+05  1e+00  1e+00\n",
      " 5:  2.0072e+01 -5.6273e+12  3e+09  1e+00  1e+00\n",
      " 6:  3.6885e+07 -2.2441e+19  2e+19  2e-13  7e-02\n",
      " 7:  3.6885e+07 -2.2441e+17  2e+17  2e-15  3e-02\n",
      " 8:  3.6885e+07 -2.2441e+15  2e+15  2e-16  3e-04\n",
      " 9:  3.6885e+07 -2.2441e+13  2e+13  2e-16  4e-06\n",
      "10:  3.6879e+07 -2.2459e+11  2e+11  9e-17  3e-08\n",
      "11:  3.6306e+07 -2.4216e+09  2e+09  2e-16  3e-10\n",
      "12:  1.5712e+07 -8.2513e+07  1e+08  3e-16  1e-11\n",
      "13:  2.4899e+06 -3.6637e+06  6e+06  1e-16  1e-12\n",
      "14:  3.5847e+05 -3.9103e+05  7e+05  3e-16  6e-13\n",
      "15:  5.1349e+04 -5.7245e+04  1e+05  2e-16  2e-13\n",
      "16:  7.3109e+03 -8.2250e+03  2e+04  1e-16  4e-14\n",
      "17:  1.0274e+03 -1.1991e+03  2e+03  4e-16  2e-14\n",
      "18:  1.3899e+02 -1.7994e+02  3e+02  2e-16  6e-15\n",
      "19:  1.6409e+01 -2.9124e+01  5e+01  1e-16  2e-15\n",
      "20:  6.1862e-01 -5.7322e+00  6e+00  2e-16  7e-16\n",
      "21: -1.0375e+00 -1.7960e+00  8e-01  2e-16  1e-16\n",
      "22: -1.1398e+00 -1.1882e+00  5e-02  2e-16  9e-17\n",
      "23: -1.1437e+00 -1.1462e+00  2e-03  3e-16  1e-16\n",
      "24: -1.1437e+00 -1.1437e+00  3e-05  3e-16  1e-16\n",
      "25: -1.1437e+00 -1.1437e+00  3e-07  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.8468e+01 -9.0133e+05  2e+02  1e+00  1e+00\n",
      " 2:  2.4901e+00 -3.6936e+06  8e+02  1e+00  1e+00\n",
      " 3:  2.0668e+01 -1.7687e+07  4e+03  1e+00  1e+00\n",
      " 4:  3.5136e+01 -7.8738e+08  2e+05  1e+00  1e+00\n",
      " 5:  3.3170e+01 -4.5433e+12  2e+09  1e+00  1e+00\n",
      " 6:  3.7006e+07 -2.3654e+19  2e+19  1e-13  2e-02\n",
      " 7:  3.7006e+07 -2.3654e+17  2e+17  2e-15  2e-02\n",
      " 8:  3.7006e+07 -2.3654e+15  2e+15  2e-16  2e-04\n",
      " 9:  3.7006e+07 -2.3654e+13  2e+13  8e-17  5e-06\n",
      "10:  3.7000e+07 -2.3682e+11  2e+11  2e-16  5e-08\n",
      "11:  3.6459e+07 -2.6412e+09  3e+09  4e-17  9e-10\n",
      "12:  1.6453e+07 -1.2261e+08  1e+08  2e-16  5e-11\n",
      "13:  2.6789e+06 -4.4007e+06  7e+06  2e-16  1e-12\n",
      "14:  3.8361e+05 -4.1609e+05  8e+05  3e-16  3e-13\n",
      "15:  5.4998e+04 -6.1357e+04  1e+05  2e-16  3e-13\n",
      "16:  7.8428e+03 -8.7847e+03  2e+04  2e-16  7e-14\n",
      "17:  1.1068e+03 -1.2756e+03  2e+03  1e-16  2e-14\n",
      "18:  1.5163e+02 -1.8958e+02  3e+02  2e-16  9e-15\n",
      "19:  1.8738e+01 -2.9983e+01  5e+01  1e-16  3e-15\n",
      "20:  1.1734e+00 -5.6322e+00  7e+00  2e-16  1e-15\n",
      "21: -8.9317e-01 -2.0533e+00  1e+00  2e-16  2e-16\n",
      "22: -1.1443e+00 -1.2841e+00  1e-01  3e-16  9e-17\n",
      "23: -1.1573e+00 -1.1664e+00  9e-03  2e-16  7e-17\n",
      "24: -1.1575e+00 -1.1576e+00  1e-04  2e-16  6e-17\n",
      "25: -1.1575e+00 -1.1575e+00  1e-06  1e-16  5e-17\n",
      "26: -1.1575e+00 -1.1575e+00  1e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.7379e+01 -1.1041e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.0944e+00 -4.3923e+06  9e+02  1e+00  1e+00\n",
      " 3:  8.4808e+00 -1.4910e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.2451e+01 -1.6690e+08  3e+04  1e+00  1e+00\n",
      " 5:  4.3211e+01 -4.7727e+10  1e+07  1e+00  1e+00\n",
      " 6:  1.4968e+08 -1.0586e+18  1e+18  5e-13  2e-03\n",
      " 7:  1.4968e+08 -1.0586e+16  1e+16  5e-15  9e-04\n",
      " 8:  1.4968e+08 -1.0586e+14  1e+14  2e-16  1e-05\n",
      " 9:  1.4967e+08 -1.0601e+12  1e+12  2e-16  2e-07\n",
      "10:  1.4898e+08 -1.2044e+10  1e+10  2e-16  2e-09\n",
      "11:  1.0539e+08 -1.0830e+09  1e+09  2e-16  2e-10\n",
      "12:  2.0974e+07 -4.9206e+07  7e+07  2e-16  1e-11\n",
      "13:  3.2792e+06 -3.9290e+06  7e+06  2e-16  9e-13\n",
      "14:  4.7155e+05 -5.2679e+05  1e+06  2e-16  4e-13\n",
      "15:  6.7552e+04 -7.5179e+04  1e+05  3e-16  2e-13\n",
      "16:  9.6334e+03 -1.0789e+04  2e+04  2e-16  5e-14\n",
      "17:  1.3603e+03 -1.5646e+03  3e+03  2e-16  5e-14\n",
      "18:  1.8680e+02 -2.3209e+02  4e+02  2e-16  8e-15\n",
      "19:  2.3320e+01 -3.6519e+01  6e+01  2e-16  2e-15\n",
      "20:  1.6366e+00 -6.7577e+00  8e+00  3e-16  1e-15\n",
      "21: -8.2601e-01 -2.2478e+00  1e+00  2e-16  4e-16\n",
      "22: -1.1447e+00 -1.3632e+00  2e-01  2e-16  7e-17\n",
      "23: -1.1695e+00 -1.1883e+00  2e-02  2e-16  6e-17\n",
      "24: -1.1699e+00 -1.1702e+00  3e-04  1e-16  8e-17\n",
      "25: -1.1699e+00 -1.1699e+00  3e-06  3e-16  9e-17\n",
      "26: -1.1699e+00 -1.1699e+00  3e-08  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.9320e+01 -1.2702e+06  2e+02  1e+00  1e+00\n",
      " 2:  5.0291e+01 -2.3981e+06  5e+02  1e+00  1e+00\n",
      " 3:  4.3531e+01 -1.3793e+07  3e+03  1e+00  1e+00\n",
      " 4:  6.4535e+01 -3.8715e+08  8e+04  1e+00  1e+00\n",
      " 5:  2.4829e+09 -9.5271e+15  1e+16  5e-13  1e-05\n",
      " 6:  2.4829e+09 -9.5282e+13  1e+14  4e-15  5e-06\n",
      " 7:  2.4827e+09 -9.6324e+11  1e+12  1e-16  1e-07\n",
      " 8:  2.4633e+09 -2.0024e+10  2e+10  3e-16  3e-09\n",
      " 9:  1.5196e+09 -5.6131e+09  7e+09  1e-16  4e-10\n",
      "10:  2.8681e+08 -2.3741e+09  3e+09  2e-16  2e-11\n",
      "11:  7.6996e+07 -1.3213e+08  2e+08  1e-16  6e-12\n",
      "12:  1.1656e+07 -1.3110e+07  2e+07  2e-16  2e-12\n",
      "13:  1.6776e+06 -1.8762e+06  4e+06  1e-16  8e-13\n",
      "14:  2.4048e+05 -2.6656e+05  5e+05  2e-16  2e-13\n",
      "15:  3.4366e+04 -3.8225e+04  7e+04  2e-16  8e-14\n",
      "16:  4.8820e+03 -5.5156e+03  1e+04  1e-16  6e-14\n",
      "17:  6.8275e+02 -8.0678e+02  1e+03  3e-16  1e-14\n",
      "18:  9.1097e+01 -1.2215e+02  2e+02  2e-16  5e-15\n",
      "19:  1.0136e+01 -2.0241e+01  3e+01  2e-16  1e-15\n",
      "20: -5.8571e-02 -4.2330e+00  4e+00  1e-16  8e-16\n",
      "21: -1.0625e+00 -1.6666e+00  6e-01  2e-16  2e-16\n",
      "22: -1.1733e+00 -1.2592e+00  9e-02  1e-16  9e-17\n",
      "23: -1.1798e+00 -1.1836e+00  4e-03  2e-16  1e-16\n",
      "24: -1.1798e+00 -1.1799e+00  5e-05  2e-16  1e-16\n",
      "25: -1.1798e+00 -1.1798e+00  5e-07  2e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.1238e+01 -1.4371e+06  3e+02  1e+00  1e+00\n",
      " 2:  7.5720e+01 -2.6802e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.4082e+01 -1.1119e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.1964e+01 -6.3952e+07  1e+04  1e+00  1e+00\n",
      " 5:  4.7116e+01 -3.4710e+09  7e+05  1e+00  1e+00\n",
      " 6:  3.1405e+02 -1.0727e+14  2e+11  1e+00  1e+00\n",
      " 7:  3.2833e+08 -4.9319e+19  5e+19  4e-14  2e-01\n",
      " 8:  3.2833e+08 -4.9319e+17  5e+17  4e-16  3e-02\n",
      " 9:  3.2833e+08 -4.9319e+15  5e+15  1e-16  4e-04\n",
      "10:  3.2833e+08 -4.9323e+13  5e+13  2e-16  5e-06\n",
      "11:  3.2828e+08 -4.9712e+11  5e+11  2e-16  4e-08\n",
      "12:  3.2391e+08 -8.8132e+09  9e+09  1e-16  4e-09\n",
      "13:  1.7159e+08 -1.4987e+09  2e+09  1e-16  1e-07\n",
      "14:  3.5709e+07 -7.5011e+07  1e+08  2e-16  9e-10\n",
      "15:  5.5515e+06 -6.5200e+06  1e+07  3e-16  1e-11\n",
      "16:  7.9843e+05 -8.9273e+05  2e+06  2e-16  9e-13\n",
      "17:  1.1437e+05 -1.2721e+05  2e+05  2e-16  1e-13\n",
      "18:  1.6313e+04 -1.8256e+04  3e+04  2e-16  9e-14\n",
      "19:  2.3052e+03 -2.6459e+03  5e+03  2e-16  3e-14\n",
      "20:  3.1753e+02 -3.9164e+02  7e+02  3e-16  1e-14\n",
      "21:  4.0264e+01 -6.1164e+01  1e+02  2e-16  2e-15\n",
      "22:  3.3873e+00 -1.0960e+01  1e+01  2e-16  1e-15\n",
      "23: -8.6472e-01 -2.7440e+00  2e+00  1e-16  4e-16\n",
      "24: -1.1735e+00 -1.3780e+00  2e-01  2e-16  2e-16\n",
      "25: -1.1850e+00 -1.2058e+00  2e-02  2e-16  1e-16\n",
      "26: -1.1852e+00 -1.1855e+00  3e-04  1e-16  1e-16\n",
      "27: -1.1852e+00 -1.1852e+00  3e-06  1e-16  8e-17\n",
      "28: -1.1852e+00 -1.1852e+00  3e-08  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  6.4911e+01 -1.6490e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0096e+02 -3.1174e+06  6e+02  1e+00  1e+00\n",
      " 3:  2.4071e+01 -1.0242e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.2429e+01 -4.8565e+07  1e+04  1e+00  1e+00\n",
      " 5:  6.4200e+01 -1.9328e+09  4e+05  1e+00  1e+00\n",
      " 6:  2.0031e+01 -1.3746e+13  7e+09  1e+00  1e+00\n",
      " 7:  3.6486e+08 -5.6643e+19  6e+19  2e-13  7e-02\n",
      " 8:  3.6486e+08 -5.6643e+17  6e+17  2e-15  3e-02\n",
      " 9:  3.6486e+08 -5.6643e+15  6e+15  1e-16  4e-04\n",
      "10:  3.6486e+08 -5.6647e+13  6e+13  2e-16  7e-06\n",
      "11:  3.6481e+08 -5.7058e+11  6e+11  1e-16  6e-08\n",
      "12:  3.5971e+08 -9.7649e+09  1e+10  2e-16  1e-09\n",
      "13:  1.9408e+08 -1.6993e+09  2e+09  2e-16  2e-07\n",
      "14:  4.0539e+07 -8.5996e+07  1e+08  2e-16  1e-09\n",
      "15:  6.2933e+06 -7.4287e+06  1e+07  2e-16  2e-11\n",
      "16:  9.0501e+05 -1.0112e+06  2e+06  2e-16  4e-13\n",
      "17:  1.2965e+05 -1.4416e+05  3e+05  2e-16  2e-13\n",
      "18:  1.8498e+04 -2.0681e+04  4e+04  2e-16  8e-14\n",
      "19:  2.6163e+03 -2.9952e+03  6e+03  2e-16  3e-14\n",
      "20:  3.6130e+02 -4.4248e+02  8e+02  2e-16  7e-15\n",
      "21:  4.6233e+01 -6.8751e+01  1e+02  2e-16  2e-15\n",
      "22:  4.1286e+00 -1.2160e+01  2e+01  2e-16  1e-15\n",
      "23: -7.9776e-01 -2.9535e+00  2e+00  2e-16  5e-16\n",
      "24: -1.1731e+00 -1.4060e+00  2e-01  2e-16  1e-16\n",
      "25: -1.1886e+00 -1.2097e+00  2e-02  2e-16  1e-16\n",
      "26: -1.1889e+00 -1.1892e+00  3e-04  3e-16  3e-17\n",
      "27: -1.1889e+00 -1.1889e+00  3e-06  2e-16  1e-16\n",
      "28: -1.1889e+00 -1.1889e+00  3e-08  1e-16  7e-17\n",
      "Optimal solution found.\n",
      "processing  DIQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.5722e+02 -1.6435e+06  3e+02  1e+00  1e+00\n",
      " 2:  8.0292e-01 -3.9079e+06  1e+03  1e+00  1e+00\n",
      " 3:  7.7141e+01 -1.1060e+08  2e+04  1e+00  1e+00\n",
      " 4:  1.5484e+02 -2.7101e+10  6e+06  1e+00  1e+00\n",
      " 5:  1.4730e+06 -6.0530e+17  6e+17  8e-13  3e-04\n",
      " 6:  1.4730e+06 -6.0530e+15  6e+15  8e-15  7e-05\n",
      " 7:  1.4730e+06 -6.0530e+13  6e+13  1e-16  3e-06\n",
      " 8:  1.4730e+06 -6.0530e+11  6e+11  3e-16  2e-08\n",
      " 9:  1.4708e+06 -6.0567e+09  6e+09  3e-16  3e-10\n",
      "10:  1.2779e+06 -6.3716e+07  6e+07  1e-16  3e-12\n",
      "11:  2.3664e+05 -9.3037e+05  1e+06  2e-16  2e-14\n",
      "12:  3.4330e+04 -4.2771e+04  8e+04  7e-17  9e-15\n",
      "13:  4.7482e+03 -5.7175e+03  1e+04  4e-16  8e-15\n",
      "14:  6.1242e+02 -8.9086e+02  2e+03  2e-16  4e-15\n",
      "15:  5.5544e+01 -1.5637e+02  2e+02  9e-17  6e-16\n",
      "16: -1.2706e+01 -3.9709e+01  3e+01  2e-16  8e-17\n",
      "17: -2.1618e+01 -2.5668e+01  4e+00  1e-16  2e-16\n",
      "18: -2.2751e+01 -2.3269e+01  5e-01  5e-17  2e-16\n",
      "19: -2.2847e+01 -2.2895e+01  5e-02  1e-16  1e-16\n",
      "20: -2.2849e+01 -2.2850e+01  8e-04  2e-16  3e-17\n",
      "21: -2.2849e+01 -2.2849e+01  8e-06  1e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.8531e+02 -2.6601e+06  5e+02  1e+00  1e+00\n",
      " 2:  1.7836e+02 -3.5269e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.6719e+02 -1.4065e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.6277e+02 -5.1764e+08  1e+05  1e+00  1e+00\n",
      " 5:  3.1825e+01 -1.9010e+12  7e+08  1e+00  1e+00\n",
      " 6:  3.2227e+09 -1.5224e+19  2e+19  4e-13  1e-03\n",
      " 7:  3.2227e+09 -1.5224e+17  2e+17  4e-15  2e-03\n",
      " 8:  3.2227e+09 -1.5224e+15  2e+15  2e-16  2e-05\n",
      " 9:  3.2227e+09 -1.5238e+13  2e+13  1e-16  3e-07\n",
      "10:  3.2216e+09 -1.6630e+11  2e+11  1e-16  4e-09\n",
      "11:  3.1427e+09 -1.5435e+10  2e+10  1e-16  4e-10\n",
      "12:  1.5713e+08 -2.1775e+10  2e+10  1e-16  3e-10\n",
      "13:  9.5399e+07 -4.7713e+08  6e+08  1e-16  9e-12\n",
      "14:  1.5569e+07 -2.2625e+07  4e+07  1e-16  4e-13\n",
      "15:  2.2286e+06 -2.4409e+06  5e+06  9e-17  2e-13\n",
      "16:  3.1845e+05 -3.5738e+05  7e+05  2e-16  6e-14\n",
      "17:  4.5093e+04 -5.1517e+04  1e+05  2e-17  3e-14\n",
      "18:  6.2432e+03 -7.5935e+03  1e+04  1e-16  1e-14\n",
      "19:  8.0469e+02 -1.1742e+03  2e+03  1e-16  4e-15\n",
      "20:  7.4082e+01 -2.0591e+02  3e+02  1e-16  3e-16\n",
      "21: -1.3369e+01 -5.0044e+01  4e+01  2e-16  4e-16\n",
      "22: -2.1805e+01 -2.5544e+01  4e+00  2e-16  8e-17\n",
      "23: -2.2949e+01 -2.3484e+01  5e-01  1e-16  1e-16\n",
      "24: -2.3050e+01 -2.3101e+01  5e-02  2e-16  6e-17\n",
      "25: -2.3053e+01 -2.3054e+01  1e-03  2e-16  2e-17\n",
      "26: -2.3053e+01 -2.3053e+01  1e-05  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.8521e+02 -3.5733e+06  6e+02  1e+00  1e+00\n",
      " 2:  2.5736e+02 -5.0875e+06  9e+02  1e+00  1e+00\n",
      " 3:  3.3595e+02 -7.5954e+06  1e+03  1e+00  1e+00\n",
      " 4:  3.9616e+02 -2.2596e+07  4e+03  1e+00  1e+00\n",
      " 5:  2.0643e+00 -1.0509e+09  2e+05  1e+00  1e+00\n",
      " 6:  5.6223e+01 -4.7270e+10  1e+07  1e+00  1e+00\n",
      " 7:  4.2322e+01 -1.6290e+14  6e+10  1e+00  1e+00\n",
      " 8:  5.4599e+09 -1.3352e+21  1e+21  3e-13  2e-01\n",
      " 9:  5.4599e+09 -1.3352e+19  1e+19  3e-15  5e-02\n",
      "10:  5.4599e+09 -1.3352e+17  1e+17  2e-16  1e-03\n",
      "11:  5.4599e+09 -1.3353e+15  1e+15  2e-16  1e-05\n",
      "12:  5.4599e+09 -1.3370e+13  1e+13  5e-17  1e-07\n",
      "13:  5.4547e+09 -1.5076e+11  2e+11  2e-16  2e-09\n",
      "14:  5.0958e+09 -1.8251e+10  2e+10  3e-16  5e-10\n",
      "15:  1.1724e+09 -2.4789e+10  3e+10  3e-16  5e-10\n",
      "16:  5.7264e+08 -2.9809e+09  4e+09  1e-16  6e-11\n",
      "17:  9.1595e+07 -1.4599e+08  2e+08  2e-16  1e-12\n",
      "18:  1.3445e+07 -1.4871e+07  3e+07  2e-16  3e-13\n",
      "19:  1.9312e+06 -2.1730e+06  4e+06  1e-16  2e-13\n",
      "20:  2.7582e+05 -3.0880e+05  6e+05  2e-16  3e-14\n",
      "21:  3.9053e+04 -4.4646e+04  8e+04  1e-16  2e-14\n",
      "22:  5.4037e+03 -6.5809e+03  1e+04  1e-16  1e-14\n",
      "23:  6.9449e+02 -1.0190e+03  2e+03  2e-16  1e-15\n",
      "24:  6.2325e+01 -1.7965e+02  2e+02  1e-16  1e-15\n",
      "25: -1.3571e+01 -4.4804e+01  3e+01  1e-16  3e-16\n",
      "26: -2.1440e+01 -2.6706e+01  5e+00  2e-16  8e-17\n",
      "27: -2.3115e+01 -2.3933e+01  8e-01  3e-16  1e-16\n",
      "28: -2.3328e+01 -2.3450e+01  1e-01  2e-16  1e-16\n",
      "29: -2.3346e+01 -2.3356e+01  1e-02  2e-16  1e-16\n",
      "30: -2.3347e+01 -2.3347e+01  2e-04  2e-16  1e-16\n",
      "31: -2.3347e+01 -2.3347e+01  2e-06  3e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.7475e+02 -4.1904e+06  6e+02  1e+00  1e+00\n",
      " 2:  3.4157e+02 -6.9237e+06  1e+03  1e+00  1e+00\n",
      " 3:  4.6046e+02 -9.5542e+06  2e+03  1e+00  1e+00\n",
      " 4:  5.7036e+02 -2.0856e+07  4e+03  1e+00  1e+00\n",
      " 5:  1.2421e+01 -1.5641e+08  3e+04  1e+00  1e+00\n",
      " 6:  1.1434e+02 -1.8162e+09  4e+05  1e+00  1e+00\n",
      " 7:  2.8564e+02 -3.7460e+11  8e+07  1e+00  1e+00\n",
      " 8:  2.1918e+09 -8.4902e+18  8e+18  4e-13  1e-03\n",
      " 9:  2.1918e+09 -8.4902e+16  8e+16  4e-15  3e-04\n",
      "10:  2.1918e+09 -8.4905e+14  8e+14  2e-16  5e-06\n",
      "11:  2.1918e+09 -8.5241e+12  9e+12  1e-16  9e-08\n",
      "12:  2.1852e+09 -1.1872e+11  1e+11  2e-16  2e-09\n",
      "13:  1.7662e+09 -2.5837e+10  3e+10  2e-16  1e-08\n",
      "14:  2.1208e+08 -6.8309e+09  7e+09  7e-16  2e-11\n",
      "15:  5.6688e+07 -1.5962e+08  2e+08  9e-17  2e-12\n",
      "16:  8.4909e+06 -9.6281e+06  2e+07  2e-16  2e-13\n",
      "17:  1.2147e+06 -1.3500e+06  3e+06  1e-16  1e-13\n",
      "18:  1.7294e+05 -1.9452e+05  4e+05  1e-16  7e-14\n",
      "19:  2.4315e+04 -2.8314e+04  5e+04  1e-16  2e-14\n",
      "20:  3.2993e+03 -4.2378e+03  8e+03  3e-16  9e-15\n",
      "21:  3.9539e+02 -6.8101e+02  1e+03  1e-16  2e-15\n",
      "22:  1.9591e+01 -1.3110e+02  2e+02  2e-16  7e-16\n",
      "23: -2.0221e+01 -3.8569e+01  2e+01  2e-16  2e-16\n",
      "24: -2.2753e+01 -2.4703e+01  2e+00  2e-16  2e-16\n",
      "25: -2.3305e+01 -2.3643e+01  3e-01  1e-16  1e-16\n",
      "26: -2.3358e+01 -2.3387e+01  3e-02  2e-16  9e-17\n",
      "27: -2.3360e+01 -2.3361e+01  1e-03  2e-16  1e-16\n",
      "28: -2.3360e+01 -2.3360e+01  1e-05  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.3703e+02 -5.8862e+06  9e+02  1e+00  1e+00\n",
      " 2:  2.7263e+02 -6.4952e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.1393e+02 -7.2309e+06  1e+03  1e+00  1e+00\n",
      " 4:  4.6383e+02 -9.9271e+06  2e+03  1e+00  1e+00\n",
      " 5:  5.4894e+02 -1.5645e+07  3e+03  1e+00  1e+00\n",
      " 6:  5.9017e+02 -5.8556e+07  1e+04  1e+00  1e+00\n",
      " 7:  1.3608e+02 -5.6794e+08  1e+05  1e+00  1e+00\n",
      " 8:  3.7470e+02 -2.7487e+10  6e+06  1e+00  1e+00\n",
      " 9:  1.5137e+09 -6.6365e+17  7e+17  6e-13  9e-05\n",
      "10:  1.5137e+09 -6.6366e+15  7e+15  7e-15  4e-05\n",
      "11:  1.5137e+09 -6.6432e+13  7e+13  2e-16  3e-07\n",
      "12:  1.5110e+09 -7.3030e+11  7e+11  1e-16  5e-09\n",
      "13:  1.2954e+09 -6.1741e+10  6e+10  2e-16  1e-08\n",
      "14:  2.6578e+08 -5.7329e+09  6e+09  2e-16  8e-11\n",
      "15:  6.7316e+07 -1.7539e+08  2e+08  2e-16  2e-12\n",
      "16:  1.0119e+07 -1.1499e+07  2e+07  3e-16  4e-13\n",
      "17:  1.4488e+06 -1.6123e+06  3e+06  1e-16  1e-13\n",
      "18:  2.0644e+05 -2.3187e+05  4e+05  2e-16  7e-14\n",
      "19:  2.9084e+04 -3.3683e+04  6e+04  1e-16  1e-14\n",
      "20:  3.9699e+03 -5.0191e+03  9e+03  2e-16  7e-15\n",
      "21:  4.8672e+02 -7.9771e+02  1e+03  2e-16  3e-15\n",
      "22:  3.0993e+01 -1.4950e+02  2e+02  2e-16  8e-16\n",
      "23: -1.9072e+01 -4.1618e+01  2e+01  2e-16  4e-16\n",
      "24: -2.2528e+01 -2.5781e+01  3e+00  2e-16  1e-16\n",
      "25: -2.3303e+01 -2.4248e+01  9e-01  2e-16  9e-17\n",
      "26: -2.3362e+01 -2.3421e+01  6e-02  1e-16  1e-16\n",
      "27: -2.3366e+01 -2.3368e+01  2e-03  1e-16  9e-17\n",
      "28: -2.3366e+01 -2.3366e+01  4e-05  3e-16  1e-16\n",
      "29: -2.3366e+01 -2.3366e+01  4e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.6849e+02 -7.3676e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.6589e+02 -9.2513e+06  1e+03  1e+00  1e+00\n",
      " 3:  4.2007e+02 -1.0296e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.5210e+02 -1.3030e+07  2e+03  1e+00  1e+00\n",
      " 5:  7.7569e+02 -2.3291e+07  4e+03  1e+00  1e+00\n",
      " 6:  4.3244e+02 -7.4857e+07  1e+04  1e+00  1e+00\n",
      " 7:  5.0908e+02 -1.1468e+08  2e+04  1e+00  1e+00\n",
      " 8:  5.5632e+02 -4.4350e+09  9e+05  1e+00  1e+00\n",
      " 9:  5.4089e+02 -1.3430e+12  3e+08  1e+00  1e+00\n",
      "10:  2.8460e+09 -2.8979e+19  3e+19  6e-13  2e-03\n",
      "11:  2.8460e+09 -2.8979e+17  3e+17  6e-15  2e-03\n",
      "12:  2.8460e+09 -2.8980e+15  3e+15  1e-16  2e-05\n",
      "13:  2.8460e+09 -2.9021e+13  3e+13  2e-16  2e-07\n",
      "14:  2.8447e+09 -3.3147e+11  3e+11  2e-16  3e-09\n",
      "15:  2.7647e+09 -4.3267e+10  5e+10  2e-16  8e-09\n",
      "16:  4.1756e+08 -4.2350e+10  4e+10  2e-16  6e-09\n",
      "17:  1.8768e+08 -1.0456e+09  1e+09  2e-16  2e-10\n",
      "18:  3.0660e+07 -4.3599e+07  7e+07  2e-16  3e-12\n",
      "19:  4.3886e+06 -4.7703e+06  9e+06  2e-16  3e-13\n",
      "20:  6.2752e+05 -7.0076e+05  1e+06  1e-16  9e-14\n",
      "21:  8.9121e+04 -1.0081e+05  2e+05  2e-16  4e-14\n",
      "22:  1.2452e+04 -1.4758e+04  3e+04  2e-16  1e-14\n",
      "23:  1.6564e+03 -2.2387e+03  4e+03  2e-16  7e-15\n",
      "24:  1.8186e+02 -3.7277e+02  6e+02  1e-16  1e-15\n",
      "25: -2.6950e+00 -7.8739e+01  8e+01  2e-16  1e-15\n",
      "26: -2.0776e+01 -2.8829e+01  8e+00  2e-16  2e-16\n",
      "27: -2.3073e+01 -2.7525e+01  4e+00  2e-16  2e-16\n",
      "28: -2.3306e+01 -2.4050e+01  7e-01  2e-16  1e-16\n",
      "29: -2.3375e+01 -2.3443e+01  7e-02  2e-16  6e-17\n",
      "30: -2.3378e+01 -2.3380e+01  2e-03  2e-16  1e-16\n",
      "31: -2.3378e+01 -2.3378e+01  3e-05  2e-16  5e-17\n",
      "32: -2.3378e+01 -2.3378e+01  3e-07  2e-16  2e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.6902e+02 -8.4345e+06  1e+03  1e+00  1e+00\n",
      " 2:  6.6678e+02 -1.5480e+07  3e+03  1e+00  1e+00\n",
      " 3:  7.9850e+02 -1.8900e+07  3e+03  1e+00  1e+00\n",
      " 4:  9.7809e+02 -2.9411e+07  6e+03  1e+00  1e+00\n",
      " 5:  6.2165e+02 -8.8694e+07  2e+04  1e+00  1e+00\n",
      " 6:  7.3122e+02 -1.5342e+08  3e+04  1e+00  1e+00\n",
      " 7:  4.4349e+02 -1.1701e+10  2e+06  1e+00  1e+00\n",
      " 8:  7.3118e+02 -3.0124e+12  6e+08  1e+00  1e+00\n",
      " 9:  3.2692e+09 -6.5096e+19  7e+19  4e-13  5e-03\n",
      "10:  3.2692e+09 -6.5096e+17  7e+17  4e-15  4e-03\n",
      "11:  3.2692e+09 -6.5097e+15  7e+15  3e-16  6e-05\n",
      "12:  3.2692e+09 -6.5162e+13  7e+13  2e-16  6e-07\n",
      "13:  3.2674e+09 -7.1647e+11  7e+11  2e-16  8e-09\n",
      "14:  3.1428e+09 -6.9661e+10  7e+10  3e-16  8e-10\n",
      "15:  7.7618e+08 -6.1899e+10  6e+10  2e-16  5e-10\n",
      "16:  3.5326e+08 -1.6886e+09  2e+09  2e-16  2e-11\n",
      "17:  5.8216e+07 -7.9336e+07  1e+08  1e-16  8e-13\n",
      "18:  8.3509e+06 -9.1394e+06  2e+07  2e-16  3e-13\n",
      "19:  1.1954e+06 -1.3323e+06  3e+06  2e-16  1e-13\n",
      "20:  1.7020e+05 -1.9125e+05  4e+05  9e-17  6e-14\n",
      "21:  2.3945e+04 -2.7833e+04  5e+04  2e-16  1e-14\n",
      "22:  3.2545e+03 -4.1604e+03  7e+03  2e-16  7e-15\n",
      "23:  3.9231e+02 -6.6661e+02  1e+03  2e-16  1e-15\n",
      "24:  2.0616e+01 -1.2762e+02  1e+02  1e-16  1e-15\n",
      "25: -1.9387e+01 -3.7431e+01  2e+01  2e-16  3e-16\n",
      "26: -2.2043e+01 -2.6479e+01  4e+00  1e-16  1e-16\n",
      "27: -2.3199e+01 -2.6564e+01  3e+00  2e-16  2e-16\n",
      "28: -2.3339e+01 -2.4083e+01  7e-01  2e-16  9e-17\n",
      "29: -2.3388e+01 -2.3462e+01  7e-02  3e-16  1e-16\n",
      "30: -2.3390e+01 -2.3392e+01  2e-03  1e-16  1e-16\n",
      "31: -2.3390e+01 -2.3390e+01  2e-05  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.8815e+02 -9.7556e+06  1e+03  1e+00  1e+00\n",
      " 2:  6.4026e+02 -1.6345e+07  3e+03  1e+00  1e+00\n",
      " 3:  7.1952e+02 -1.7832e+07  3e+03  1e+00  1e+00\n",
      " 4:  9.0212e+02 -2.1768e+07  4e+03  1e+00  1e+00\n",
      " 5:  1.0509e+03 -3.4719e+07  6e+03  1e+00  1e+00\n",
      " 6:  5.4468e+02 -1.4363e+08  3e+04  1e+00  1e+00\n",
      " 7:  7.6650e+02 -2.7163e+08  5e+04  1e+00  1e+00\n",
      " 8:  3.8793e+02 -6.1168e+09  1e+06  1e+00  1e+00\n",
      " 9:  5.2006e+02 -1.5558e+12  3e+08  1e+00  1e+00\n",
      "10:  8.1517e+09 -3.4409e+19  3e+19  6e-13  2e-03\n",
      "11:  8.1517e+09 -3.4409e+17  3e+17  6e-15  1e-03\n",
      "12:  8.1517e+09 -3.4417e+15  3e+15  2e-16  1e-05\n",
      "13:  8.1506e+09 -3.5150e+13  4e+13  2e-16  2e-07\n",
      "14:  8.0462e+09 -1.0654e+12  1e+12  1e-16  8e-09\n",
      "15:  3.5886e+09 -4.4089e+11  4e+11  2e-16  2e-09\n",
      "16:  3.2474e+09 -5.2459e+10  6e+10  2e-16  3e-10\n",
      "17:  1.1225e+09 -3.5511e+10  4e+10  1e-16  1e-10\n",
      "18:  3.6295e+08 -9.3598e+08  1e+09  1e-16  4e-12\n",
      "19:  5.5253e+07 -6.2117e+07  1e+08  2e-16  1e-12\n",
      "20:  7.9249e+06 -8.7970e+06  2e+07  2e-16  3e-13\n",
      "21:  1.1335e+06 -1.2590e+06  2e+06  2e-16  9e-14\n",
      "22:  1.6133e+05 -1.8132e+05  3e+05  1e-16  5e-14\n",
      "23:  2.2679e+04 -2.6408e+04  5e+04  2e-16  1e-14\n",
      "24:  3.0760e+03 -3.9539e+03  7e+03  2e-16  8e-15\n",
      "25:  3.6789e+02 -6.3592e+02  1e+03  2e-16  2e-15\n",
      "26:  1.7528e+01 -1.2282e+02  1e+02  1e-16  1e-15\n",
      "27: -1.9709e+01 -3.6645e+01  2e+01  2e-16  3e-16\n",
      "28: -2.2078e+01 -2.6460e+01  4e+00  2e-16  1e-16\n",
      "29: -2.3175e+01 -2.6866e+01  4e+00  3e-16  1e-16\n",
      "30: -2.3323e+01 -2.4231e+01  9e-01  2e-16  1e-16\n",
      "31: -2.3390e+01 -2.3500e+01  1e-01  2e-16  1e-16\n",
      "32: -2.3393e+01 -2.3397e+01  4e-03  2e-16  1e-16\n",
      "33: -2.3393e+01 -2.3393e+01  5e-05  2e-16  8e-17\n",
      "34: -2.3393e+01 -2.3393e+01  5e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  2.8417e+02 -1.0764e+07  1e+03  1e+00  1e+00\n",
      " 2:  6.5243e+02 -1.8549e+07  3e+03  1e+00  1e+00\n",
      " 3:  7.0465e+02 -1.9518e+07  3e+03  1e+00  1e+00\n",
      " 4:  7.9418e+02 -2.1200e+07  3e+03  1e+00  1e+00\n",
      " 5:  9.7386e+02 -2.4778e+07  4e+03  1e+00  1e+00\n",
      " 6:  1.1301e+03 -3.0047e+07  5e+03  1e+00  1e+00\n",
      " 7:  1.3728e+03 -4.6281e+07  9e+03  1e+00  1e+00\n",
      " 8:  7.9820e+02 -1.3708e+08  3e+04  1e+00  1e+00\n",
      " 9:  1.1293e+03 -3.5921e+08  7e+04  1e+00  1e+00\n",
      "10:  5.6610e+02 -3.0432e+09  6e+05  1e+00  1e+00\n",
      "11:  7.3143e+02 -3.0105e+11  6e+07  1e+00  1e+00\n",
      "12:  6.5757e+09 -7.1184e+18  7e+18  5e-13  4e-04\n",
      "13:  6.5757e+09 -7.1184e+16  7e+16  5e-15  4e-04\n",
      "14:  6.5757e+09 -7.1231e+14  7e+14  2e-16  4e-06\n",
      "15:  6.5705e+09 -7.5936e+12  8e+12  2e-16  5e-08\n",
      "16:  6.1288e+09 -4.6521e+11  5e+11  2e-16  1e-07\n",
      "17:  3.8234e+09 -6.7875e+10  7e+10  1e-16  8e-09\n",
      "18:  1.4670e+09 -5.5629e+10  6e+10  2e-16  5e-09\n",
      "19:  5.1419e+08 -1.7825e+09  2e+09  2e-16  2e-10\n",
      "20:  8.0930e+07 -9.7389e+07  2e+08  2e-16  3e-12\n",
      "21:  1.1604e+07 -1.2789e+07  2e+07  2e-16  3e-13\n",
      "22:  1.6608e+06 -1.8440e+06  4e+06  3e-16  2e-13\n",
      "23:  2.3664e+05 -2.6507e+05  5e+05  1e-16  5e-14\n",
      "24:  3.3373e+04 -3.8504e+04  7e+04  2e-16  2e-14\n",
      "25:  4.5708e+03 -5.7246e+03  1e+04  2e-16  1e-14\n",
      "26:  5.6766e+02 -9.0400e+02  1e+03  2e-16  2e-15\n",
      "27:  4.0684e+01 -1.6664e+02  2e+02  2e-16  8e-16\n",
      "28: -1.8278e+01 -4.4643e+01  3e+01  1e-16  5e-16\n",
      "29: -2.2477e+01 -2.5703e+01  3e+00  2e-16  1e-16\n",
      "30: -2.3294e+01 -2.4328e+01  1e+00  2e-16  9e-17\n",
      "31: -2.3390e+01 -2.3467e+01  8e-02  3e-16  1e-16\n",
      "32: -2.3398e+01 -2.3403e+01  5e-03  2e-16  8e-17\n",
      "33: -2.3398e+01 -2.3398e+01  1e-04  2e-16  9e-17\n",
      "34: -2.3398e+01 -2.3398e+01  1e-06  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "processing  DBQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.4395e+02 -1.6042e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0577e+01 -3.8350e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.0904e+02 -1.4123e+08  3e+04  1e+00  1e+00\n",
      " 4:  1.9623e+01 -3.1585e+11  9e+07  1e+00  1e+00\n",
      " 5:  2.8048e+09 -3.6770e+18  4e+18  2e-13  2e-03\n",
      " 6:  2.8048e+09 -3.6770e+16  4e+16  1e-15  5e-04\n",
      " 7:  2.8048e+09 -3.6771e+14  4e+14  2e-16  8e-06\n",
      " 8:  2.8048e+09 -3.6847e+12  4e+12  2e-17  1e-07\n",
      " 9:  2.8034e+09 -4.4473e+10  5e+10  2e-16  2e-09\n",
      "10:  2.7091e+09 -7.9054e+09  1e+10  1e-16  5e-10\n",
      "11:  5.1471e+07 -1.4830e+10  1e+10  1e-16  4e-10\n",
      "12:  3.5201e+07 -3.0269e+08  3e+08  2e-16  9e-12\n",
      "13:  5.8577e+06 -1.0757e+07  2e+07  2e-16  2e-13\n",
      "14:  8.4615e+05 -9.2568e+05  2e+06  2e-16  6e-14\n",
      "15:  1.2069e+05 -1.3601e+05  3e+05  1e-16  1e-14\n",
      "16:  1.7015e+04 -1.9682e+04  4e+04  2e-16  3e-14\n",
      "17:  2.3257e+03 -2.9296e+03  5e+03  2e-16  3e-15\n",
      "18:  2.8620e+02 -4.6449e+02  8e+02  1e-16  2e-15\n",
      "19:  1.8649e+01 -8.6724e+01  1e+02  1e-16  8e-16\n",
      "20: -1.1319e+01 -2.4344e+01  1e+01  3e-16  4e-16\n",
      "21: -1.4268e+01 -1.6248e+01  2e+00  5e-17  1e-16\n",
      "22: -1.4418e+01 -1.4507e+01  9e-02  3e-16  8e-17\n",
      "23: -1.4419e+01 -1.4420e+01  9e-04  2e-16  1e-16\n",
      "24: -1.4419e+01 -1.4419e+01  9e-06  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.2038e+02 -2.9467e+06  6e+02  1e+00  1e+00\n",
      " 2:  1.5301e+02 -3.8393e+06  7e+02  1e+00  1e+00\n",
      " 3:  2.3474e+02 -3.0613e+07  6e+03  1e+00  1e+00\n",
      " 4:  3.7515e+00 -9.1365e+09  2e+06  1e+00  1e+00\n",
      " 5:  5.7028e+01 -2.6217e+13  9e+09  1e+00  1e+00\n",
      " 6:  3.7861e+09 -2.2135e+20  2e+20  2e-13  3e-02\n",
      " 7:  3.7861e+09 -2.2135e+18  2e+18  2e-15  4e-02\n",
      " 8:  3.7861e+09 -2.2135e+16  2e+16  3e-16  4e-04\n",
      " 9:  3.7861e+09 -2.2136e+14  2e+14  8e-17  7e-06\n",
      "10:  3.7859e+09 -2.2288e+12  2e+12  2e-16  7e-08\n",
      "11:  3.7675e+09 -3.7433e+10  4e+10  2e-16  1e-09\n",
      "12:  2.8909e+09 -1.1955e+10  1e+10  9e-17  4e-10\n",
      "13:  3.1725e+08 -1.1580e+10  1e+10  2e-16  1e-10\n",
      "14:  1.2644e+08 -6.2721e+08  8e+08  9e-17  4e-12\n",
      "15:  2.0054e+07 -2.7420e+07  5e+07  1e-16  5e-13\n",
      "16:  2.8769e+06 -3.1829e+06  6e+06  1e-16  4e-13\n",
      "17:  4.1158e+05 -4.6079e+05  9e+05  4e-16  2e-14\n",
      "18:  5.8446e+04 -6.6282e+04  1e+05  4e-16  2e-14\n",
      "19:  8.1568e+03 -9.7069e+03  2e+04  2e-16  1e-14\n",
      "20:  1.0809e+03 -1.4761e+03  3e+03  2e-16  6e-15\n",
      "21:  1.1685e+02 -2.4722e+02  4e+02  2e-16  2e-15\n",
      "22: -2.7750e+00 -5.2706e+01  5e+01  2e-16  7e-16\n",
      "23: -1.3866e+01 -1.9788e+01  6e+00  2e-16  2e-16\n",
      "24: -1.4722e+01 -1.5806e+01  1e+00  1e-16  1e-16\n",
      "25: -1.4741e+01 -1.4761e+01  2e-02  2e-16  1e-16\n",
      "26: -1.4741e+01 -1.4741e+01  2e-04  3e-16  8e-17\n",
      "27: -1.4741e+01 -1.4741e+01  2e-06  9e-17  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.5611e+02 -4.2193e+06  8e+02  1e+00  1e+00\n",
      " 2:  2.6191e+02 -5.4124e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.6671e+01 -1.7418e+07  4e+03  1e+00  1e+00\n",
      " 4:  6.5570e+01 -6.0243e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.2054e+02 -6.1635e+08  1e+05  1e+00  1e+00\n",
      " 6:  1.8426e+02 -1.0371e+11  2e+07  1e+00  1e+00\n",
      " 7:  1.3689e+09 -2.3856e+18  2e+18  7e-14  3e-04\n",
      " 8:  1.3689e+09 -2.3856e+16  2e+16  7e-16  3e-04\n",
      " 9:  1.3689e+09 -2.3856e+14  2e+14  2e-16  5e-06\n",
      "10:  1.3688e+09 -2.3948e+12  2e+12  1e-16  4e-08\n",
      "11:  1.3601e+09 -3.3080e+10  3e+10  2e-16  8e-10\n",
      "12:  8.7974e+08 -5.8738e+09  7e+09  2e-16  1e-08\n",
      "13:  1.4499e+08 -5.9799e+08  7e+08  2e-16  3e-12\n",
      "14:  2.5612e+07 -3.5895e+07  6e+07  2e-16  7e-13\n",
      "15:  3.6846e+06 -4.0739e+06  8e+06  2e-16  5e-13\n",
      "16:  5.2761e+05 -5.9069e+05  1e+06  2e-16  8e-14\n",
      "17:  7.5049e+04 -8.4740e+04  2e+05  1e-16  3e-14\n",
      "18:  1.0521e+04 -1.2362e+04  2e+04  2e-16  1e-14\n",
      "19:  1.4140e+03 -1.8619e+03  3e+03  2e-16  7e-15\n",
      "20:  1.6263e+02 -3.0447e+02  5e+02  2e-16  2e-15\n",
      "21:  3.3116e+00 -6.1387e+01  6e+01  1e-16  6e-16\n",
      "22: -1.3044e+01 -2.0610e+01  8e+00  2e-16  2e-16\n",
      "23: -1.4893e+01 -1.6455e+01  2e+00  2e-16  1e-16\n",
      "24: -1.5057e+01 -1.5175e+01  1e-01  2e-16  2e-16\n",
      "25: -1.5061e+01 -1.5063e+01  2e-03  8e-17  6e-17\n",
      "26: -1.5061e+01 -1.5061e+01  2e-05  2e-16  9e-17\n",
      "27: -1.5061e+01 -1.5061e+01  2e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.3429e+02 -4.7701e+06  8e+02  1e+00  1e+00\n",
      " 2:  3.5676e+02 -6.9971e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.6571e+02 -1.0897e+07  2e+03  1e+00  1e+00\n",
      " 4:  2.9819e+02 -6.2591e+07  1e+04  1e+00  1e+00\n",
      " 5:  4.1173e+02 -4.0919e+09  8e+05  1e+00  1e+00\n",
      " 6:  4.9299e+09 -9.8398e+16  1e+17  8e-13  1e-05\n",
      " 7:  4.9299e+09 -9.8400e+14  1e+15  8e-15  1e-05\n",
      " 8:  4.9297e+09 -9.8544e+12  1e+13  2e-16  2e-07\n",
      " 9:  4.9085e+09 -1.1293e+11  1e+11  2e-16  3e-09\n",
      "10:  3.6168e+09 -1.1932e+10  2e+10  2e-16  4e-10\n",
      "11:  6.3112e+08 -2.0377e+09  3e+09  1e-16  3e-12\n",
      "12:  1.1521e+08 -1.4248e+08  3e+08  1e-16  1e-12\n",
      "13:  1.6639e+07 -1.8621e+07  4e+07  2e-16  7e-13\n",
      "14:  2.3869e+06 -2.6583e+06  5e+06  1e-16  3e-13\n",
      "15:  3.4097e+05 -3.8041e+05  7e+05  2e-16  8e-14\n",
      "16:  4.8357e+04 -5.4950e+04  1e+05  1e-16  3e-14\n",
      "17:  6.7287e+03 -8.0688e+03  1e+04  2e-16  2e-14\n",
      "18:  8.8335e+02 -1.2345e+03  2e+03  2e-16  6e-15\n",
      "19:  9.1199e+01 -2.0995e+02  3e+02  1e-16  2e-15\n",
      "20: -5.5673e+00 -4.6470e+01  4e+01  1e-16  8e-16\n",
      "21: -1.4230e+01 -1.8344e+01  4e+00  1e-16  3e-16\n",
      "22: -1.5140e+01 -1.6294e+01  1e+00  2e-16  1e-16\n",
      "23: -1.5180e+01 -1.5227e+01  5e-02  3e-16  1e-16\n",
      "24: -1.5180e+01 -1.5181e+01  5e-04  2e-16  1e-16\n",
      "25: -1.5180e+01 -1.5180e+01  5e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.3495e+02 -5.6741e+06  9e+02  1e+00  1e+00\n",
      " 2:  5.4756e+02 -1.0217e+07  2e+03  1e+00  1e+00\n",
      " 3:  2.7940e+02 -1.4574e+07  3e+03  1e+00  1e+00\n",
      " 4:  5.6362e+02 -6.4809e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.6132e+02 -1.7633e+09  4e+05  1e+00  1e+00\n",
      " 6:  3.1309e+02 -4.1611e+11  9e+07  1e+00  1e+00\n",
      " 7:  2.6971e+09 -9.2671e+18  9e+18  3e-13  1e-03\n",
      " 8:  2.6971e+09 -9.2671e+16  9e+16  3e-15  1e-03\n",
      " 9:  2.6971e+09 -9.2676e+14  9e+14  1e-16  1e-05\n",
      "10:  2.6970e+09 -9.3173e+12  9e+12  2e-16  2e-07\n",
      "11:  2.6931e+09 -1.4283e+11  1e+11  1e-16  4e-09\n",
      "12:  2.4271e+09 -4.0547e+10  4e+10  1e-16  9e-10\n",
      "13:  4.0483e+08 -3.3718e+10  3e+10  3e-16  5e-10\n",
      "14:  2.0817e+08 -8.6868e+08  1e+09  1e-16  2e-11\n",
      "15:  3.3614e+07 -4.2411e+07  8e+07  6e-17  8e-13\n",
      "16:  4.8210e+06 -5.3111e+06  1e+07  1e-16  3e-13\n",
      "17:  6.8973e+05 -7.6838e+05  1e+06  3e-16  1e-13\n",
      "18:  9.8122e+04 -1.1051e+05  2e+05  2e-16  4e-14\n",
      "19:  1.3773e+04 -1.6114e+04  3e+04  2e-16  1e-14\n",
      "20:  1.8593e+03 -2.4205e+03  4e+03  1e-16  5e-15\n",
      "21:  2.1829e+02 -3.9259e+02  6e+02  2e-16  2e-15\n",
      "22:  7.9067e+00 -7.7305e+01  9e+01  1e-16  8e-16\n",
      "23: -1.3684e+01 -2.3812e+01  1e+01  2e-16  4e-16\n",
      "24: -1.4864e+01 -1.8119e+01  3e+00  2e-16  8e-17\n",
      "25: -1.5287e+01 -1.5997e+01  7e-01  1e-16  1e-16\n",
      "26: -1.5297e+01 -1.5312e+01  2e-02  2e-16  8e-17\n",
      "27: -1.5297e+01 -1.5297e+01  2e-04  2e-16  1e-16\n",
      "28: -1.5297e+01 -1.5297e+01  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.4367e+02 -6.6873e+06  1e+03  1e+00  1e+00\n",
      " 2:  5.7773e+02 -1.1709e+07  2e+03  1e+00  1e+00\n",
      " 3:  6.4800e+02 -1.5585e+07  3e+03  1e+00  1e+00\n",
      " 4:  5.1135e+02 -3.7157e+07  7e+03  1e+00  1e+00\n",
      " 5:  2.6912e+02 -5.7786e+08  1e+05  1e+00  1e+00\n",
      " 6:  5.0955e+02 -4.7581e+10  1e+07  1e+00  1e+00\n",
      " 7:  2.0752e+09 -1.1315e+18  1e+18  4e-13  1e-04\n",
      " 8:  2.0752e+09 -1.1315e+16  1e+16  4e-15  1e-04\n",
      " 9:  2.0752e+09 -1.1322e+14  1e+14  3e-16  2e-06\n",
      "10:  2.0744e+09 -1.2015e+12  1e+12  8e-17  2e-08\n",
      "11:  2.0003e+09 -7.8417e+10  8e+10  2e-16  1e-09\n",
      "12:  3.3071e+08 -4.7401e+10  5e+10  2e-16  5e-10\n",
      "13:  1.9094e+08 -8.4970e+08  1e+09  1e-16  1e-11\n",
      "14:  3.0760e+07 -3.8969e+07  7e+07  2e-16  8e-13\n",
      "15:  4.4077e+06 -4.8331e+06  9e+06  2e-16  3e-13\n",
      "16:  6.3034e+05 -7.0194e+05  1e+06  2e-16  1e-13\n",
      "17:  8.9622e+04 -1.0103e+05  2e+05  2e-16  4e-14\n",
      "18:  1.2563e+04 -1.4751e+04  3e+04  2e-16  2e-14\n",
      "19:  1.6893e+03 -2.2219e+03  4e+03  2e-16  8e-15\n",
      "20:  1.9510e+02 -3.6294e+02  6e+02  2e-16  2e-15\n",
      "21:  4.8961e+00 -7.2710e+01  8e+01  1e-16  1e-15\n",
      "22: -1.4163e+01 -2.3204e+01  9e+00  2e-16  3e-16\n",
      "23: -1.5055e+01 -1.7699e+01  3e+00  1e-16  1e-16\n",
      "24: -1.5376e+01 -1.6185e+01  8e-01  2e-16  1e-16\n",
      "25: -1.5385e+01 -1.5400e+01  2e-02  1e-16  1e-16\n",
      "26: -1.5385e+01 -1.5385e+01  2e-04  3e-16  9e-17\n",
      "27: -1.5385e+01 -1.5385e+01  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  3.5811e+02 -9.3968e+06  1e+03  1e+00  1e+00\n",
      " 2:  5.6676e+02 -1.2866e+07  2e+03  1e+00  1e+00\n",
      " 3:  7.0873e+02 -1.6922e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.9632e+02 -5.0775e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.4968e+02 -6.4361e+07  1e+04  1e+00  1e+00\n",
      " 6:  3.5313e+02 -7.0809e+07  1e+04  1e+00  1e+00\n",
      " 7:  3.5921e+02 -8.6693e+07  2e+04  1e+00  1e+00\n",
      " 8:  3.7211e+02 -1.3729e+08  3e+04  1e+00  1e+00\n",
      " 9:  5.8401e+02 -1.9188e+09  4e+05  1e+00  1e+00\n",
      "10:  6.0374e+02 -1.2085e+12  3e+08  1e+00  1e+00\n",
      "11:  2.5301e+09 -2.3327e+19  2e+19  3e-13  2e-03\n",
      "12:  2.5301e+09 -2.3327e+17  2e+17  3e-15  1e-03\n",
      "13:  2.5301e+09 -2.3327e+15  2e+15  1e-16  1e-05\n",
      "14:  2.5301e+09 -2.3356e+13  2e+13  1e-16  2e-07\n",
      "15:  2.5273e+09 -2.6226e+11  3e+11  2e-16  4e-09\n",
      "16:  2.3257e+09 -2.9257e+10  3e+10  1e-16  7e-08\n",
      "17:  7.6050e+08 -1.5361e+10  2e+10  2e-16  1e-08\n",
      "18:  1.9439e+08 -4.6789e+08  7e+08  8e-17  4e-10\n",
      "19:  2.9026e+07 -3.2135e+07  6e+07  2e-16  3e-12\n",
      "20:  4.1626e+06 -4.6285e+06  9e+06  1e-16  3e-13\n",
      "21:  5.9507e+05 -6.6160e+05  1e+06  2e-16  8e-14\n",
      "22:  8.4600e+04 -9.5402e+04  2e+05  2e-16  5e-14\n",
      "23:  1.1856e+04 -1.3930e+04  3e+04  8e-17  2e-14\n",
      "24:  1.5925e+03 -2.0998e+03  4e+03  2e-16  7e-15\n",
      "25:  1.8302e+02 -3.4365e+02  5e+02  3e-16  3e-15\n",
      "26:  3.8240e+00 -6.9270e+01  7e+01  1e-16  8e-16\n",
      "27: -1.4183e+01 -2.2574e+01  8e+00  1e-16  3e-16\n",
      "28: -1.5214e+01 -1.7001e+01  2e+00  1e-16  1e-16\n",
      "29: -1.5396e+01 -1.5649e+01  3e-01  1e-16  1e-16\n",
      "30: -1.5410e+01 -1.5418e+01  8e-03  2e-16  8e-17\n",
      "31: -1.5410e+01 -1.5410e+01  1e-04  2e-16  7e-17\n",
      "32: -1.5410e+01 -1.5410e+01  1e-06  3e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  3.4851e+02 -1.0352e+07  2e+03  1e+00  1e+00\n",
      " 2:  6.5545e+02 -1.5561e+07  3e+03  1e+00  1e+00\n",
      " 3:  8.5641e+02 -2.0193e+07  4e+03  1e+00  1e+00\n",
      " 4:  8.0849e+02 -3.0865e+07  6e+03  1e+00  1e+00\n",
      " 5:  9.3798e+02 -1.3930e+08  3e+04  1e+00  1e+00\n",
      " 6:  4.7890e+02 -3.9645e+08  8e+04  1e+00  1e+00\n",
      " 7:  8.1572e+02 -1.6843e+10  3e+06  1e+00  1e+00\n",
      " 8:  2.4192e+09 -4.0787e+17  4e+17  5e-13  2e-05\n",
      " 9:  2.4192e+09 -4.0788e+15  4e+15  5e-15  3e-05\n",
      "10:  2.4191e+09 -4.0947e+13  4e+13  3e-16  4e-07\n",
      "11:  2.4055e+09 -5.6763e+11  6e+11  1e-16  7e-09\n",
      "12:  1.6353e+09 -6.5398e+10  7e+10  2e-16  8e-10\n",
      "13:  5.0442e+08 -2.9262e+09  3e+09  2e-16  6e-12\n",
      "14:  8.8057e+07 -1.3306e+08  2e+08  2e-16  2e-12\n",
      "15:  1.2644e+07 -1.3686e+07  3e+07  1e-16  5e-13\n",
      "16:  1.8119e+06 -2.0182e+06  4e+06  2e-16  2e-13\n",
      "17:  2.5853e+05 -2.8871e+05  5e+05  2e-16  1e-13\n",
      "18:  3.6580e+04 -4.1817e+04  8e+04  1e-16  3e-14\n",
      "19:  5.0583e+03 -6.1715e+03  1e+04  3e-16  1e-14\n",
      "20:  6.5037e+02 -9.5631e+02  2e+03  2e-16  4e-15\n",
      "21:  5.9896e+01 -1.6791e+02  2e+02  2e-16  2e-15\n",
      "22: -9.6851e+00 -4.0016e+01  3e+01  3e-16  4e-16\n",
      "23: -1.5126e+01 -1.7763e+01  3e+00  2e-16  2e-16\n",
      "24: -1.5409e+01 -1.5761e+01  4e-01  1e-16  1e-16\n",
      "25: -1.5433e+01 -1.5453e+01  2e-02  2e-16  1e-16\n",
      "26: -1.5434e+01 -1.5434e+01  4e-04  2e-16  1e-16\n",
      "27: -1.5434e+01 -1.5434e+01  4e-06  7e-17  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  3.9043e+02 -1.2268e+07  2e+03  1e+00  1e+00\n",
      " 2:  7.4519e+02 -1.8375e+07  3e+03  1e+00  1e+00\n",
      " 3:  9.0476e+02 -2.1686e+07  4e+03  1e+00  1e+00\n",
      " 4:  9.8360e+02 -2.9283e+07  5e+03  1e+00  1e+00\n",
      " 5:  5.1739e+02 -1.1647e+08  2e+04  1e+00  1e+00\n",
      " 6:  9.1886e+02 -3.9725e+08  8e+04  1e+00  1e+00\n",
      " 7:  4.6518e+02 -7.0757e+08  1e+05  1e+00  1e+00\n",
      " 8:  6.7531e+02 -2.7252e+10  6e+06  1e+00  1e+00\n",
      " 9:  1.0217e+03 -4.2414e+13  1e+10  1e+00  1e+00\n",
      "10:  2.3328e+09 -5.9350e+20  6e+20  4e-13  3e-02\n",
      "11:  2.3328e+09 -5.9350e+18  6e+18  4e-15  2e-02\n",
      "12:  2.3328e+09 -5.9350e+16  6e+16  3e-16  2e-04\n",
      "13:  2.3328e+09 -5.9356e+14  6e+14  2e-16  3e-06\n",
      "14:  2.3326e+09 -5.9941e+12  6e+12  1e-16  5e-08\n",
      "15:  2.3194e+09 -1.1818e+11  1e+11  1e-16  1e-09\n",
      "16:  2.1208e+09 -3.6313e+10  4e+10  1e-16  7e-10\n",
      "17:  6.4062e+08 -5.0600e+09  6e+09  3e-16  7e-12\n",
      "18:  1.2177e+08 -2.0444e+08  3e+08  3e-16  1e-12\n",
      "19:  1.7537e+07 -1.8735e+07  4e+07  1e-16  9e-13\n",
      "20:  2.5146e+06 -2.8050e+06  5e+06  2e-16  2e-13\n",
      "21:  3.5904e+05 -4.0016e+05  8e+05  2e-16  5e-14\n",
      "22:  5.0900e+04 -5.7868e+04  1e+05  2e-16  3e-14\n",
      "23:  7.0774e+03 -8.5032e+03  2e+04  2e-16  2e-14\n",
      "24:  9.2714e+02 -1.3029e+03  2e+03  1e-16  7e-15\n",
      "25:  9.4798e+01 -2.2232e+02  3e+02  2e-16  2e-15\n",
      "26: -6.4136e+00 -4.9494e+01  4e+01  3e-16  6e-16\n",
      "27: -1.5120e+01 -1.9405e+01  4e+00  2e-16  2e-16\n",
      "28: -1.5415e+01 -1.5894e+01  5e-01  2e-16  1e-16\n",
      "29: -1.5449e+01 -1.5475e+01  3e-02  1e-16  9e-17\n",
      "30: -1.5449e+01 -1.5450e+01  5e-04  2e-16  1e-16\n",
      "31: -1.5449e+01 -1.5449e+01  5e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  DLQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.5325e+01 -2.0066e+05  4e+01  1e+00  1e+00\n",
      " 2:  1.7206e-01 -2.9636e+06  6e+02  1e+00  1e+00\n",
      " 3:  4.0081e+00 -4.5511e+08  9e+04  1e+00  1e+00\n",
      " 4:  1.4237e+01 -9.7338e+12  1e+10  1e+00  1e+00\n",
      " 5:  3.2658e+04 -7.7619e+18  8e+18  9e-14  1e-02\n",
      " 6:  3.2658e+04 -7.7619e+16  8e+16  1e-15  2e-02\n",
      " 7:  3.2658e+04 -7.7619e+14  8e+14  9e-17  2e-04\n",
      " 8:  3.2658e+04 -7.7619e+12  8e+12  3e-16  4e-06\n",
      " 9:  3.2658e+04 -7.7619e+10  8e+10  1e-16  5e-08\n",
      "10:  3.2638e+04 -7.7628e+08  8e+08  1e-16  5e-10\n",
      "11:  3.0743e+04 -7.8493e+06  8e+06  7e-17  5e-12\n",
      "12:  7.2067e+03 -9.0573e+04  1e+05  6e-17  8e-14\n",
      "13:  1.0459e+03 -1.9596e+03  3e+03  3e-16  5e-15\n",
      "14:  1.4135e+02 -1.7418e+02  3e+02  9e-17  3e-15\n",
      "15:  1.6706e+01 -2.9137e+01  5e+01  3e-16  4e-16\n",
      "16:  2.3587e-01 -5.9891e+00  6e+00  2e-16  8e-16\n",
      "17: -1.9076e+00 -2.8617e+00  1e+00  3e-17  2e-16\n",
      "18: -2.1576e+00 -2.2741e+00  1e-01  1e-16  3e-16\n",
      "19: -2.1753e+00 -2.1843e+00  9e-03  2e-16  2e-16\n",
      "20: -2.1756e+00 -2.1757e+00  1e-04  1e-16  1e-16\n",
      "21: -2.1756e+00 -2.1756e+00  1e-06  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.4519e+01 -3.5965e+05  7e+01  1e+00  1e+00\n",
      " 2:  4.2855e+00 -3.8091e+06  8e+02  1e+00  1e+00\n",
      " 3:  9.3824e+00 -3.5205e+08  7e+04  1e+00  1e+00\n",
      " 4:  2.1795e+01 -1.5026e+12  6e+08  1e+00  1e+00\n",
      " 5:  1.0428e+06 -1.0322e+19  1e+19  3e-13  3e-02\n",
      " 6:  1.0428e+06 -1.0322e+17  1e+17  3e-15  8e-03\n",
      " 7:  1.0428e+06 -1.0322e+15  1e+15  3e-16  2e-04\n",
      " 8:  1.0428e+06 -1.0322e+13  1e+13  4e-16  1e-06\n",
      " 9:  1.0427e+06 -1.0322e+11  1e+11  3e-16  3e-08\n",
      "10:  1.0390e+06 -1.0366e+09  1e+09  1e-16  2e-10\n",
      "11:  7.7135e+05 -1.3483e+07  1e+07  2e-16  4e-12\n",
      "12:  1.2948e+05 -3.0020e+05  4e+05  2e-16  1e-13\n",
      "13:  1.8742e+04 -2.0768e+04  4e+04  2e-16  4e-14\n",
      "14:  2.6567e+03 -3.0286e+03  6e+03  2e-16  1e-14\n",
      "15:  3.6857e+02 -4.4506e+02  8e+02  3e-16  5e-15\n",
      "16:  4.7656e+01 -6.8597e+01  1e+02  3e-16  2e-15\n",
      "17:  4.2367e+00 -1.2087e+01  2e+01  4e-16  1e-15\n",
      "18: -1.0907e+00 -4.1479e+00  3e+00  2e-16  4e-16\n",
      "19: -2.0920e+00 -2.5935e+00  5e-01  2e-16  3e-16\n",
      "20: -2.1927e+00 -2.2417e+00  5e-02  1e-16  4e-17\n",
      "21: -2.1974e+00 -2.2001e+00  3e-03  1e-16  6e-17\n",
      "22: -2.1974e+00 -2.1974e+00  3e-05  2e-16  3e-17\n",
      "23: -2.1974e+00 -2.1974e+00  3e-07  1e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.3054e+01 -5.4546e+05  1e+02  1e+00  1e+00\n",
      " 2:  2.3501e+00 -4.1473e+06  9e+02  1e+00  1e+00\n",
      " 3:  5.6419e+00 -3.8911e+07  8e+03  1e+00  1e+00\n",
      " 4:  8.7219e+00 -3.8798e+09  8e+05  1e+00  1e+00\n",
      " 5:  1.0643e+08 -9.2528e+16  9e+16  4e-13  2e-04\n",
      " 6:  1.0643e+08 -9.2528e+14  9e+14  4e-15  1e-04\n",
      " 7:  1.0643e+08 -9.2532e+12  9e+12  1e-16  1e-06\n",
      " 8:  1.0638e+08 -9.2938e+10  9e+10  2e-16  1e-08\n",
      " 9:  1.0229e+08 -1.3201e+09  1e+09  1e-16  2e-10\n",
      "10:  2.9681e+07 -8.5883e+07  1e+08  2e-16  4e-11\n",
      "11:  4.3929e+06 -5.0984e+06  9e+06  2e-16  6e-13\n",
      "12:  6.3201e+05 -7.1079e+05  1e+06  2e-16  1e-13\n",
      "13:  9.0490e+04 -1.0095e+05  2e+05  1e-16  2e-13\n",
      "14:  1.2878e+04 -1.4523e+04  3e+04  2e-16  4e-14\n",
      "15:  1.8074e+03 -2.1172e+03  4e+03  2e-16  1e-14\n",
      "16:  2.4374e+02 -3.1826e+02  6e+02  2e-16  9e-15\n",
      "17:  2.8451e+01 -5.1743e+01  8e+01  2e-16  3e-15\n",
      "18:  8.8445e-01 -1.0270e+01  1e+01  2e-16  2e-15\n",
      "19: -1.9637e+00 -3.2591e+00  1e+00  2e-16  3e-16\n",
      "20: -2.1766e+00 -2.3064e+00  1e-01  2e-16  1e-16\n",
      "21: -2.2096e+00 -2.2259e+00  2e-02  2e-16  9e-17\n",
      "22: -2.2115e+00 -2.2125e+00  1e-03  2e-16  9e-17\n",
      "23: -2.2115e+00 -2.2115e+00  1e-05  8e-17  1e-16\n",
      "24: -2.2115e+00 -2.2115e+00  1e-07  3e-16  2e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.7349e+01 -7.0351e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.0263e+01 -1.5793e+06  3e+02  1e+00  1e+00\n",
      " 3:  5.7505e+00 -3.6450e+07  7e+03  1e+00  1e+00\n",
      " 4:  1.1466e+01 -8.8347e+08  2e+05  1e+00  1e+00\n",
      " 5:  1.6909e+01 -8.3922e+11  2e+08  1e+00  1e+00\n",
      " 6:  2.5537e+08 -1.4460e+19  1e+19  4e-13  2e-02\n",
      " 7:  2.5537e+08 -1.4460e+17  1e+17  3e-15  1e-02\n",
      " 8:  2.5537e+08 -1.4460e+15  1e+15  2e-16  1e-04\n",
      " 9:  2.5537e+08 -1.4462e+13  1e+13  1e-16  2e-06\n",
      "10:  2.5530e+08 -1.4599e+11  1e+11  2e-16  1e-08\n",
      "11:  2.4794e+08 -2.7972e+09  3e+09  1e-16  3e-10\n",
      "12:  8.2634e+07 -2.2022e+08  3e+08  2e-16  4e-10\n",
      "13:  1.2811e+07 -1.6127e+07  3e+07  2e-16  2e-12\n",
      "14:  1.8574e+06 -2.1010e+06  4e+06  2e-16  8e-13\n",
      "15:  2.6663e+05 -2.9791e+05  6e+05  2e-16  2e-13\n",
      "16:  3.8093e+04 -4.2570e+04  8e+04  2e-16  4e-14\n",
      "17:  5.3999e+03 -6.1485e+03  1e+04  2e-16  4e-14\n",
      "18:  7.5019e+02 -9.0379e+02  2e+03  1e-16  1e-14\n",
      "19:  9.7941e+01 -1.3874e+02  2e+02  2e-16  4e-15\n",
      "20:  9.8130e+00 -2.3803e+01  3e+01  3e-16  1e-15\n",
      "21: -8.6705e-01 -5.3924e+00  5e+00  2e-16  3e-16\n",
      "22: -1.7502e+00 -3.1339e+00  1e+00  1e-16  1e-16\n",
      "23: -2.1716e+00 -2.6515e+00  5e-01  1e-16  1e-16\n",
      "24: -2.2122e+00 -2.2487e+00  4e-02  2e-16  6e-17\n",
      "25: -2.2163e+00 -2.2183e+00  2e-03  3e-16  7e-17\n",
      "26: -2.2164e+00 -2.2164e+00  5e-05  2e-16  8e-17\n",
      "27: -2.2164e+00 -2.2164e+00  5e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.9301e+01 -1.0053e+06  2e+02  1e+00  1e+00\n",
      " 2:  6.4170e+01 -1.9917e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.3271e+01 -1.2786e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.6587e+01 -1.3273e+08  3e+04  1e+00  1e+00\n",
      " 5:  3.4436e+01 -2.9479e+10  6e+06  1e+00  1e+00\n",
      " 6:  2.8640e+08 -6.6961e+17  7e+17  6e-13  1e-03\n",
      " 7:  2.8640e+08 -6.6961e+15  7e+15  6e-15  2e-04\n",
      " 8:  2.8640e+08 -6.6965e+13  7e+13  2e-16  3e-06\n",
      " 9:  2.8639e+08 -6.7303e+11  7e+11  2e-16  5e-08\n",
      "10:  2.8565e+08 -1.0104e+10  1e+10  1e-16  1e-09\n",
      "11:  2.4462e+08 -2.8238e+09  3e+09  2e-16  2e-09\n",
      "12:  4.1958e+07 -1.4180e+09  1e+09  2e-16  3e-10\n",
      "13:  1.3262e+07 -3.9684e+07  5e+07  2e-16  1e-11\n",
      "14:  2.0166e+06 -2.3276e+06  4e+06  2e-16  7e-13\n",
      "15:  2.8891e+05 -3.2045e+05  6e+05  2e-16  2e-13\n",
      "16:  4.1258e+04 -4.6054e+04  9e+04  2e-16  7e-14\n",
      "17:  5.8471e+03 -6.6559e+03  1e+04  2e-16  3e-14\n",
      "18:  8.1208e+02 -9.7892e+02  2e+03  1e-16  9e-15\n",
      "19:  1.0593e+02 -1.5037e+02  3e+02  2e-16  4e-15\n",
      "20:  1.0558e+01 -2.5841e+01  4e+01  2e-16  2e-15\n",
      "21: -9.9551e-01 -5.8879e+00  5e+00  1e-16  4e-16\n",
      "22: -2.0388e+00 -2.6959e+00  7e-01  1e-16  1e-16\n",
      "23: -2.2060e+00 -2.3147e+00  1e-01  2e-16  5e-17\n",
      "24: -2.2172e+00 -2.2281e+00  1e-02  1e-16  6e-17\n",
      "25: -2.2180e+00 -2.2186e+00  6e-04  3e-16  6e-17\n",
      "26: -2.2180e+00 -2.2180e+00  7e-06  2e-16  9e-17\n",
      "27: -2.2180e+00 -2.2180e+00  7e-08  1e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.7758e+01 -1.2946e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.1200e+01 -2.3058e+06  4e+02  1e+00  1e+00\n",
      " 3:  6.7121e-01 -1.2023e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.0938e+01 -5.9310e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.0529e+01 -1.5077e+09  3e+05  1e+00  1e+00\n",
      " 6:  1.7891e+01 -1.4080e+12  3e+08  1e+00  1e+00\n",
      " 7:  8.2209e+08 -2.4541e+19  2e+19  6e-13  2e-02\n",
      " 8:  8.2209e+08 -2.4541e+17  2e+17  6e-15  2e-02\n",
      " 9:  8.2209e+08 -2.4541e+15  2e+15  2e-16  3e-04\n",
      "10:  8.2209e+08 -2.4546e+13  2e+13  2e-16  3e-06\n",
      "11:  8.2199e+08 -2.5026e+11  3e+11  3e-16  3e-08\n",
      "12:  8.1228e+08 -7.2467e+09  8e+09  2e-16  8e-10\n",
      "13:  1.6728e+08 -1.9353e+09  2e+09  1e-16  5e-08\n",
      "14:  5.0276e+07 -1.0307e+08  2e+08  2e-16  3e-09\n",
      "15:  7.4329e+06 -8.0785e+06  2e+07  2e-16  3e-12\n",
      "16:  1.0694e+06 -1.2042e+06  2e+06  9e-17  4e-13\n",
      "17:  1.5314e+05 -1.7019e+05  3e+05  1e-16  2e-13\n",
      "18:  2.1833e+04 -2.4461e+04  5e+04  3e-16  1e-13\n",
      "19:  3.0817e+03 -3.5485e+03  7e+03  2e-16  3e-14\n",
      "20:  4.2306e+02 -5.2656e+02  9e+02  1e-16  8e-15\n",
      "21:  5.2980e+01 -8.2777e+01  1e+02  1e-16  3e-15\n",
      "22:  4.0485e+00 -1.5094e+01  2e+01  1e-16  2e-15\n",
      "23: -1.5263e+00 -3.9654e+00  2e+00  1e-16  4e-16\n",
      "24: -2.0596e+00 -2.7260e+00  7e-01  1e-16  2e-16\n",
      "25: -2.2085e+00 -2.3110e+00  1e-01  9e-17  6e-17\n",
      "26: -2.2196e+00 -2.2272e+00  8e-03  2e-16  1e-16\n",
      "27: -2.2201e+00 -2.2210e+00  9e-04  2e-16  1e-16\n",
      "28: -2.2202e+00 -2.2202e+00  1e-05  2e-16  9e-17\n",
      "29: -2.2202e+00 -2.2202e+00  1e-07  1e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.9001e+01 -1.4985e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.2630e+02 -2.7798e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.2347e+00 -1.0339e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.4855e+01 -4.1399e+07  8e+03  1e+00  1e+00\n",
      " 5:  2.5962e+01 -6.0820e+08  1e+05  1e+00  1e+00\n",
      " 6:  3.4898e+01 -1.6463e+11  3e+07  1e+00  1e+00\n",
      " 7:  9.0986e+08 -3.6639e+18  4e+18  4e-13  4e-03\n",
      " 8:  9.0986e+08 -3.6639e+16  4e+16  4e-15  2e-03\n",
      " 9:  9.0986e+08 -3.6640e+14  4e+14  2e-16  2e-05\n",
      "10:  9.0985e+08 -3.6694e+12  4e+12  1e-16  3e-07\n",
      "11:  9.0871e+08 -4.2137e+10  4e+10  2e-16  5e-09\n",
      "12:  8.2403e+08 -5.3986e+09  6e+09  3e-16  6e-08\n",
      "13:  6.1052e+07 -3.5802e+09  4e+09  2e-16  1e-08\n",
      "14:  2.1956e+07 -1.2052e+08  1e+08  2e-16  4e-10\n",
      "15:  3.4467e+06 -4.7666e+06  8e+06  2e-16  6e-12\n",
      "16:  4.9302e+05 -5.3832e+05  1e+06  2e-16  4e-13\n",
      "17:  7.0498e+04 -7.8664e+04  1e+05  1e-16  9e-14\n",
      "18:  1.0016e+04 -1.1320e+04  2e+04  1e-16  3e-14\n",
      "19:  1.4008e+03 -1.6557e+03  3e+03  2e-16  1e-14\n",
      "20:  1.8701e+02 -2.5060e+02  4e+02  2e-16  6e-15\n",
      "21:  2.0914e+01 -4.1458e+01  6e+01  1e-16  3e-15\n",
      "22:  1.8770e-02 -8.5858e+00  9e+00  2e-16  8e-16\n",
      "23: -2.0324e+00 -2.9760e+00  9e-01  2e-16  2e-16\n",
      "24: -2.1945e+00 -2.3362e+00  1e-01  2e-16  9e-17\n",
      "25: -2.2172e+00 -2.2377e+00  2e-02  2e-16  1e-16\n",
      "26: -2.2205e+00 -2.2244e+00  4e-03  1e-16  8e-17\n",
      "27: -2.2206e+00 -2.2208e+00  1e-04  2e-16  5e-17\n",
      "28: -2.2206e+00 -2.2206e+00  2e-06  2e-16  5e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.1359e+01 -1.6794e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.4212e+02 -3.1269e+06  6e+02  1e+00  1e+00\n",
      " 3:  3.8661e+00 -1.2151e+07  2e+03  1e+00  1e+00\n",
      " 4:  2.3532e+01 -5.1526e+07  1e+04  1e+00  1e+00\n",
      " 5:  5.1166e+01 -9.5585e+08  2e+05  1e+00  1e+00\n",
      " 6:  6.8734e+01 -6.6109e+11  2e+08  1e+00  1e+00\n",
      " 7:  5.2485e+08 -1.2582e+19  1e+19  6e-13  1e-02\n",
      " 8:  5.2485e+08 -1.2582e+17  1e+17  6e-15  6e-03\n",
      " 9:  5.2485e+08 -1.2582e+15  1e+15  2e-16  8e-05\n",
      "10:  5.2485e+08 -1.2587e+13  1e+13  2e-16  1e-06\n",
      "11:  5.2455e+08 -1.3066e+11  1e+11  3e-16  9e-09\n",
      "12:  4.9770e+08 -5.9226e+09  6e+09  3e-16  5e-10\n",
      "13:  1.2409e+08 -1.5576e+09  2e+09  2e-16  4e-09\n",
      "14:  2.9142e+07 -7.2467e+07  1e+08  1e-16  1e-10\n",
      "15:  4.4535e+06 -5.1240e+06  1e+07  1e-16  2e-12\n",
      "16:  6.3922e+05 -7.1115e+05  1e+06  2e-16  2e-13\n",
      "17:  9.1425e+04 -1.0178e+05  2e+05  2e-16  1e-13\n",
      "18:  1.3003e+04 -1.4657e+04  3e+04  2e-16  7e-14\n",
      "19:  1.8240e+03 -2.1381e+03  4e+03  2e-16  2e-14\n",
      "20:  2.4575e+02 -3.2162e+02  6e+02  2e-16  6e-15\n",
      "21:  2.8611e+01 -5.2355e+01  8e+01  2e-16  2e-15\n",
      "22:  8.5697e-01 -1.0410e+01  1e+01  2e-16  1e-15\n",
      "23: -1.9851e+00 -3.2972e+00  1e+00  1e-16  3e-16\n",
      "24: -2.1842e+00 -2.3686e+00  2e-01  3e-16  1e-16\n",
      "25: -2.2182e+00 -2.2409e+00  2e-02  1e-16  1e-16\n",
      "26: -2.2203e+00 -2.2231e+00  3e-03  2e-16  8e-17\n",
      "27: -2.2206e+00 -2.2208e+00  2e-04  2e-16  1e-16\n",
      "28: -2.2206e+00 -2.2207e+00  1e-05  2e-16  8e-17\n",
      "29: -2.2206e+00 -2.2206e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  6.0955e+01 -1.8744e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.5619e+02 -3.4675e+06  7e+02  1e+00  1e+00\n",
      " 3:  9.3595e+00 -2.0180e+07  4e+03  1e+00  1e+00\n",
      " 4:  4.6590e+01 -8.8498e+07  2e+04  1e+00  1e+00\n",
      " 5:  7.7643e+01 -2.0609e+09  4e+05  1e+00  1e+00\n",
      " 6:  8.4867e+01 -3.5186e+12  1e+09  1e+00  1e+00\n",
      " 7:  5.1315e+08 -4.7944e+19  5e+19  5e-13  2e-02\n",
      " 8:  5.1315e+08 -4.7944e+17  5e+17  5e-15  2e-02\n",
      " 9:  5.1315e+08 -4.7944e+15  5e+15  2e-16  4e-04\n",
      "10:  5.1315e+08 -4.7950e+13  5e+13  3e-16  5e-06\n",
      "11:  5.1308e+08 -4.8520e+11  5e+11  1e-16  5e-08\n",
      "12:  5.0596e+08 -1.0502e+10  1e+10  2e-16  1e-09\n",
      "13:  3.5539e+08 -3.2379e+09  4e+09  1e-16  1e-08\n",
      "14:  9.0581e+07 -4.3317e+08  5e+08  4e-16  3e-12\n",
      "15:  1.6148e+07 -2.3494e+07  4e+07  2e-16  2e-12\n",
      "16:  2.3254e+06 -2.5360e+06  5e+06  2e-16  9e-13\n",
      "17:  3.3345e+05 -3.7151e+05  7e+05  2e-16  2e-13\n",
      "18:  4.7625e+04 -5.3076e+04  1e+05  2e-16  8e-14\n",
      "19:  6.7552e+03 -7.6694e+03  1e+04  2e-16  4e-14\n",
      "20:  9.4058e+02 -1.1257e+03  2e+03  2e-16  1e-14\n",
      "21:  1.2376e+02 -1.7199e+02  3e+02  2e-16  6e-15\n",
      "22:  1.2923e+01 -2.9146e+01  4e+01  2e-16  2e-15\n",
      "23: -6.7730e-01 -6.3986e+00  6e+00  1e-16  6e-16\n",
      "24: -1.8724e+00 -2.9511e+00  1e+00  2e-16  2e-16\n",
      "25: -2.1846e+00 -2.5664e+00  4e-01  2e-16  1e-16\n",
      "26: -2.2167e+00 -2.2463e+00  3e-02  2e-16  1e-16\n",
      "27: -2.2202e+00 -2.2251e+00  5e-03  2e-16  5e-17\n",
      "28: -2.2207e+00 -2.2210e+00  4e-04  2e-16  6e-17\n",
      "29: -2.2207e+00 -2.2207e+00  2e-05  2e-16  7e-17\n",
      "30: -2.2207e+00 -2.2207e+00  2e-06  2e-16  1e-16\n",
      "31: -2.2207e+00 -2.2207e+00  3e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "processing  DUQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.2038e+02 -1.2873e+06  3e+02  1e+00  1e+00\n",
      " 2:  2.0372e+00 -3.2142e+06  9e+02  1e+00  1e+00\n",
      " 3:  4.1215e+01 -7.4969e+07  2e+04  1e+00  1e+00\n",
      " 4:  1.1989e+02 -9.0707e+09  2e+06  1e+00  1e+00\n",
      " 5:  6.8220e+05 -2.1328e+17  2e+17  5e-13  4e-05\n",
      " 6:  6.8220e+05 -2.1328e+15  2e+15  5e-15  8e-05\n",
      " 7:  6.8220e+05 -2.1328e+13  2e+13  1e-16  8e-07\n",
      " 8:  6.8219e+05 -2.1328e+11  2e+11  2e-16  9e-09\n",
      " 9:  6.8053e+05 -2.1338e+09  2e+09  2e-16  9e-11\n",
      "10:  5.4803e+05 -2.2157e+07  2e+07  3e-16  7e-13\n",
      "11:  9.3351e+04 -3.1687e+05  4e+05  1e-16  1e-14\n",
      "12:  1.3381e+04 -1.6457e+04  3e+04  9e-17  8e-15\n",
      "13:  1.8097e+03 -2.3270e+03  4e+03  1e-16  1e-14\n",
      "14:  2.1444e+02 -3.7759e+02  6e+02  7e-17  2e-15\n",
      "15:  8.4638e+00 -7.3903e+01  8e+01  2e-16  1e-15\n",
      "16: -1.3655e+01 -2.3287e+01  1e+01  2e-16  1e-16\n",
      "17: -1.5626e+01 -1.6743e+01  1e+00  7e-17  9e-17\n",
      "18: -1.5857e+01 -1.5977e+01  1e-01  4e-17  4e-17\n",
      "19: -1.5863e+01 -1.5866e+01  3e-03  1e-16  1e-16\n",
      "20: -1.5863e+01 -1.5864e+01  3e-05  1e-16  3e-17\n",
      "21: -1.5863e+01 -1.5863e+01  3e-07  3e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.4984e+02 -2.1837e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.5072e+02 -3.0170e+06  6e+02  1e+00  1e+00\n",
      " 3:  2.4053e+01 -9.4776e+06  2e+03  1e+00  1e+00\n",
      " 4:  4.6309e+01 -3.1788e+07  6e+03  1e+00  1e+00\n",
      " 5:  5.3152e+01 -2.9623e+08  6e+04  1e+00  1e+00\n",
      " 6:  6.1020e+01 -2.6335e+10  5e+06  1e+00  1e+00\n",
      " 7:  1.3236e+09 -6.2730e+17  6e+17  3e-13  1e-04\n",
      " 8:  1.3236e+09 -6.2730e+15  6e+15  3e-15  2e-04\n",
      " 9:  1.3236e+09 -6.2737e+13  6e+13  2e-16  2e-06\n",
      "10:  1.3234e+09 -6.3420e+11  6e+11  3e-16  2e-08\n",
      "11:  1.3056e+09 -1.3075e+10  1e+10  3e-16  2e-09\n",
      "12:  4.2604e+08 -1.1318e+09  2e+09  2e-16  5e-08\n",
      "13:  6.6238e+07 -1.0124e+08  2e+08  1e-16  3e-13\n",
      "14:  9.7287e+06 -1.0780e+07  2e+07  2e-16  6e-13\n",
      "15:  1.3973e+06 -1.5743e+06  3e+06  2e-16  2e-13\n",
      "16:  1.9945e+05 -2.2377e+05  4e+05  1e-16  8e-14\n",
      "17:  2.8192e+04 -3.2398e+04  6e+04  2e-16  3e-14\n",
      "18:  3.8830e+03 -4.7931e+03  9e+03  2e-16  1e-14\n",
      "19:  4.9207e+02 -7.4860e+02  1e+03  2e-16  1e-15\n",
      "20:  4.1206e+01 -1.3422e+02  2e+02  3e-16  5e-16\n",
      "21: -1.0759e+01 -3.3652e+01  2e+01  2e-16  4e-16\n",
      "22: -1.4691e+01 -1.9333e+01  5e+00  2e-16  3e-16\n",
      "23: -1.5987e+01 -1.7268e+01  1e+00  8e-17  2e-16\n",
      "24: -1.6072e+01 -1.6149e+01  8e-02  4e-16  1e-16\n",
      "25: -1.6075e+01 -1.6077e+01  2e-03  2e-16  9e-17\n",
      "26: -1.6075e+01 -1.6075e+01  2e-05  1e-16  1e-16\n",
      "27: -1.6075e+01 -1.6075e+01  2e-07  2e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.6491e+02 -4.0152e+06  8e+02  1e+00  1e+00\n",
      " 2:  2.0863e+02 -4.7818e+06  9e+02  1e+00  1e+00\n",
      " 3:  1.4855e+02 -1.8960e+07  4e+03  1e+00  1e+00\n",
      " 4:  2.5773e+02 -1.9885e+08  4e+04  1e+00  1e+00\n",
      " 5:  1.0831e+02 -5.2936e+10  1e+07  1e+00  1e+00\n",
      " 6:  2.0576e+09 -1.1733e+18  1e+18  2e-13  2e-04\n",
      " 7:  2.0576e+09 -1.1733e+16  1e+16  2e-15  1e-04\n",
      " 8:  2.0576e+09 -1.1736e+14  1e+14  2e-16  9e-07\n",
      " 9:  2.0575e+09 -1.1946e+12  1e+12  1e-16  3e-08\n",
      "10:  2.0549e+09 -3.2950e+10  4e+10  1e-16  7e-10\n",
      "11:  6.6092e+08 -1.0079e+10  1e+10  2e-16  2e-10\n",
      "12:  2.4099e+08 -6.2573e+08  9e+08  8e-17  1e-11\n",
      "13:  3.7364e+07 -4.2335e+07  8e+07  9e-17  1e-12\n",
      "14:  5.3845e+06 -6.0837e+06  1e+07  2e-16  4e-13\n",
      "15:  7.7111e+05 -8.6033e+05  2e+06  2e-16  1e-13\n",
      "16:  1.0979e+05 -1.2367e+05  2e+05  2e-16  4e-14\n",
      "17:  1.5431e+04 -1.8000e+04  3e+04  1e-16  2e-14\n",
      "18:  2.0909e+03 -2.6962e+03  5e+03  3e-16  4e-15\n",
      "19:  2.4916e+02 -4.3437e+02  7e+02  3e-16  4e-15\n",
      "20:  1.1402e+01 -8.4164e+01  1e+02  2e-16  9e-16\n",
      "21: -1.3664e+01 -2.5161e+01  1e+01  2e-16  4e-16\n",
      "22: -1.5551e+01 -1.8027e+01  2e+00  3e-16  1e-16\n",
      "23: -1.6090e+01 -1.6460e+01  4e-01  2e-16  2e-16\n",
      "24: -1.6114e+01 -1.6133e+01  2e-02  1e-16  1e-16\n",
      "25: -1.6114e+01 -1.6114e+01  2e-04  3e-16  1e-16\n",
      "26: -1.6114e+01 -1.6114e+01  2e-06  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.8128e+02 -5.1598e+06  9e+02  1e+00  1e+00\n",
      " 2:  2.5649e+02 -6.5737e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.5831e+02 -1.1231e+07  2e+03  1e+00  1e+00\n",
      " 4:  9.8352e+01 -3.7351e+07  7e+03  1e+00  1e+00\n",
      " 5:  1.4657e+02 -1.8324e+08  4e+04  1e+00  1e+00\n",
      " 6:  1.7542e+02 -5.5746e+09  1e+06  1e+00  1e+00\n",
      " 7:  1.3691e+02 -8.8408e+12  2e+09  1e+00  1e+00\n",
      " 8:  1.8675e+09 -1.2339e+20  1e+20  5e-13  1e-02\n",
      " 9:  1.8675e+09 -1.2339e+18  1e+18  5e-15  1e-02\n",
      "10:  1.8675e+09 -1.2339e+16  1e+16  2e-16  1e-04\n",
      "11:  1.8675e+09 -1.2341e+14  1e+14  2e-16  2e-06\n",
      "12:  1.8672e+09 -1.2551e+12  1e+12  2e-16  3e-08\n",
      "13:  1.8446e+09 -3.3299e+10  4e+10  2e-16  8e-10\n",
      "14:  5.9781e+08 -5.6547e+09  6e+09  2e-16  3e-08\n",
      "15:  1.5673e+08 -3.5314e+08  5e+08  2e-16  2e-09\n",
      "16:  2.3382e+07 -2.5816e+07  5e+07  2e-16  7e-12\n",
      "17:  3.3622e+06 -3.7867e+06  7e+06  2e-16  2e-13\n",
      "18:  4.8076e+05 -5.3686e+05  1e+06  2e-16  8e-14\n",
      "19:  6.8271e+04 -7.7407e+04  1e+05  2e-16  3e-14\n",
      "20:  9.5304e+03 -1.1332e+04  2e+04  3e-16  1e-14\n",
      "21:  1.2643e+03 -1.7222e+03  3e+03  1e-16  4e-15\n",
      "22:  1.3748e+02 -2.8791e+02  4e+02  1e-16  2e-15\n",
      "23: -2.5937e+00 -6.1055e+01  6e+01  1e-16  5e-16\n",
      "24: -1.5600e+01 -2.1881e+01  6e+00  1e-16  3e-16\n",
      "25: -1.6150e+01 -1.6579e+01  4e-01  1e-16  1e-16\n",
      "26: -1.6190e+01 -1.6218e+01  3e-02  2e-16  9e-17\n",
      "27: -1.6191e+01 -1.6191e+01  6e-04  2e-16  1e-16\n",
      "28: -1.6191e+01 -1.6191e+01  6e-06  8e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.0770e+02 -6.5402e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.5112e+02 -8.4951e+06  1e+03  1e+00  1e+00\n",
      " 3:  5.0863e+02 -1.2948e+07  2e+03  1e+00  1e+00\n",
      " 4:  8.1241e+01 -5.1998e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.7792e+02 -2.4475e+08  5e+04  1e+00  1e+00\n",
      " 6:  3.0119e+02 -6.9600e+09  1e+06  1e+00  1e+00\n",
      " 7:  2.2891e+02 -3.4937e+13  1e+10  1e+00  1e+00\n",
      " 8:  1.2242e+09 -2.0915e+20  2e+20  2e-13  2e-02\n",
      " 9:  1.2242e+09 -2.0915e+18  2e+18  2e-15  2e-02\n",
      "10:  1.2242e+09 -2.0915e+16  2e+16  1e-16  2e-04\n",
      "11:  1.2242e+09 -2.0917e+14  2e+14  9e-17  3e-06\n",
      "12:  1.2240e+09 -2.1109e+12  2e+12  1e-16  3e-08\n",
      "13:  1.2081e+09 -4.0123e+10  4e+10  1e-16  5e-10\n",
      "14:  5.5871e+08 -5.2290e+09  6e+09  2e-16  7e-08\n",
      "15:  9.5751e+07 -2.0519e+08  3e+08  1e-16  1e-12\n",
      "16:  1.4808e+07 -1.7396e+07  3e+07  1e-16  5e-13\n",
      "17:  2.1262e+06 -2.3791e+06  5e+06  2e-16  2e-13\n",
      "18:  3.0385e+05 -3.4000e+05  6e+05  1e-16  7e-14\n",
      "19:  4.3083e+04 -4.9052e+04  9e+04  1e-16  4e-14\n",
      "20:  5.9882e+03 -7.2059e+03  1e+04  2e-16  1e-14\n",
      "21:  7.8290e+02 -1.1050e+03  2e+03  2e-16  6e-15\n",
      "22:  7.8944e+01 -1.8919e+02  3e+02  2e-16  1e-15\n",
      "23: -6.6305e+00 -4.2723e+01  4e+01  2e-16  5e-16\n",
      "24: -1.4414e+01 -2.0026e+01  6e+00  1e-16  1e-16\n",
      "25: -1.6053e+01 -1.7642e+01  2e+00  1e-16  8e-17\n",
      "26: -1.6201e+01 -1.6395e+01  2e-01  2e-16  1e-16\n",
      "27: -1.6222e+01 -1.6235e+01  1e-02  2e-16  1e-16\n",
      "28: -1.6222e+01 -1.6223e+01  3e-04  2e-16  7e-17\n",
      "29: -1.6222e+01 -1.6222e+01  3e-06  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.7321e+02 -5.0218e+06  7e+02  1e+00  1e+00\n",
      " 2:  5.7382e+02 -1.1227e+07  2e+03  1e+00  1e+00\n",
      " 3:  5.5953e+02 -1.4289e+07  3e+03  1e+00  1e+00\n",
      " 4:  8.1254e+01 -5.4752e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.0572e+02 -2.5079e+08  5e+04  1e+00  1e+00\n",
      " 6:  4.0011e+02 -1.0734e+10  2e+06  1e+00  1e+00\n",
      " 7:  1.9429e+09 -2.6098e+17  3e+17  3e-13  1e-05\n",
      " 8:  1.9429e+09 -2.6098e+15  3e+15  4e-15  2e-05\n",
      " 9:  1.9428e+09 -2.6118e+13  3e+13  1e-16  3e-07\n",
      "10:  1.9411e+09 -2.8160e+11  3e+11  2e-16  3e-09\n",
      "11:  1.8011e+09 -2.1942e+10  2e+10  2e-16  6e-10\n",
      "12:  3.6906e+08 -8.4421e+09  9e+09  2e-16  4e-10\n",
      "13:  9.2133e+07 -2.3514e+08  3e+08  2e-16  1e-11\n",
      "14:  1.3723e+07 -1.5348e+07  3e+07  1e-16  8e-13\n",
      "15:  1.9661e+06 -2.1844e+06  4e+06  1e-16  2e-13\n",
      "16:  2.8067e+05 -3.1322e+05  6e+05  2e-16  9e-14\n",
      "17:  3.9758e+04 -4.5308e+04  9e+04  2e-16  4e-14\n",
      "18:  5.5146e+03 -6.6705e+03  1e+04  2e-16  9e-15\n",
      "19:  7.1619e+02 -1.0273e+03  2e+03  3e-16  4e-15\n",
      "20:  6.9607e+01 -1.7778e+02  2e+02  1e-16  1e-15\n",
      "21: -8.1797e+00 -4.1233e+01  3e+01  3e-16  4e-16\n",
      "22: -1.5151e+01 -1.8913e+01  4e+00  2e-16  2e-16\n",
      "23: -1.6139e+01 -1.6920e+01  8e-01  1e-16  1e-16\n",
      "24: -1.6227e+01 -1.6299e+01  7e-02  2e-16  1e-16\n",
      "25: -1.6232e+01 -1.6235e+01  3e-03  1e-16  8e-17\n",
      "26: -1.6232e+01 -1.6232e+01  5e-05  2e-16  5e-17\n",
      "27: -1.6232e+01 -1.6232e+01  5e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.6925e+02 -5.6754e+06  8e+02  1e+00  1e+00\n",
      " 2:  7.6351e+02 -1.4550e+07  3e+03  1e+00  1e+00\n",
      " 3:  7.6874e+02 -1.7699e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.8851e+00 -1.1370e+08  2e+04  1e+00  1e+00\n",
      " 5:  1.7379e+02 -6.0324e+08  1e+05  1e+00  1e+00\n",
      " 6:  2.2609e+02 -1.3339e+10  3e+06  1e+00  1e+00\n",
      " 7:  2.1803e+02 -9.2967e+12  2e+09  1e+00  1e+00\n",
      " 8:  7.2471e+09 -1.7493e+20  2e+20  4e-13  3e-02\n",
      " 9:  7.2471e+09 -1.7493e+18  2e+18  5e-15  2e-02\n",
      "10:  7.2471e+09 -1.7493e+16  2e+16  2e-16  2e-04\n",
      "11:  7.2471e+09 -1.7497e+14  2e+14  2e-16  3e-06\n",
      "12:  7.2460e+09 -1.7878e+12  2e+12  2e-16  3e-08\n",
      "13:  7.1459e+09 -5.5593e+10  6e+10  2e-16  1e-09\n",
      "14:  1.6711e+09 -1.8901e+10  2e+10  2e-16  7e-09\n",
      "15:  4.8231e+08 -9.1212e+08  1e+09  2e-16  3e-10\n",
      "16:  7.1152e+07 -7.6487e+07  1e+08  2e-16  2e-12\n",
      "17:  1.0235e+07 -1.1521e+07  2e+07  2e-16  2e-13\n",
      "18:  1.4657e+06 -1.6275e+06  3e+06  1e-16  2e-13\n",
      "19:  2.0903e+05 -2.3393e+05  4e+05  1e-16  8e-14\n",
      "20:  2.9534e+04 -3.3910e+04  6e+04  2e-16  2e-14\n",
      "21:  4.0662e+03 -5.0213e+03  9e+03  2e-16  5e-15\n",
      "22:  5.1483e+02 -7.8485e+02  1e+03  2e-16  4e-15\n",
      "23:  4.2838e+01 -1.4092e+02  2e+02  3e-16  1e-15\n",
      "24: -1.1529e+01 -3.5480e+01  2e+01  2e-16  3e-16\n",
      "25: -1.5749e+01 -1.7968e+01  2e+00  1e-16  2e-16\n",
      "26: -1.6206e+01 -1.6559e+01  4e-01  2e-16  1e-16\n",
      "27: -1.6244e+01 -1.6271e+01  3e-02  2e-16  6e-17\n",
      "28: -1.6245e+01 -1.6246e+01  1e-03  2e-16  7e-17\n",
      "29: -1.6245e+01 -1.6245e+01  2e-05  1e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.6850e+02 -6.3650e+06  9e+02  1e+00  1e+00\n",
      " 2:  9.4407e+02 -1.8349e+07  3e+03  1e+00  1e+00\n",
      " 3:  1.0149e+03 -2.2177e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.1672e+02 -6.7442e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.2247e+02 -1.8816e+08  4e+04  1e+00  1e+00\n",
      " 6:  5.0598e+02 -1.5012e+09  3e+05  1e+00  1e+00\n",
      " 7:  7.6186e+02 -3.1071e+11  7e+07  1e+00  1e+00\n",
      " 8:  2.3593e+09 -7.0709e+18  7e+18  3e-13  7e-04\n",
      " 9:  2.3593e+09 -7.0709e+16  7e+16  3e-15  4e-04\n",
      "10:  2.3593e+09 -7.0712e+14  7e+14  2e-16  5e-06\n",
      "11:  2.3592e+09 -7.0985e+12  7e+12  2e-16  7e-08\n",
      "12:  2.3520e+09 -9.8259e+10  1e+11  1e-16  1e-09\n",
      "13:  2.1009e+09 -2.5350e+10  3e+10  2e-16  1e-08\n",
      "14:  7.3046e+08 -1.7634e+10  2e+10  1e-16  3e-09\n",
      "15:  2.0082e+08 -5.4104e+08  7e+08  2e-16  1e-10\n",
      "16:  3.0305e+07 -3.4087e+07  6e+07  1e-16  2e-12\n",
      "17:  4.3460e+06 -4.8274e+06  9e+06  1e-16  2e-13\n",
      "18:  6.2137e+05 -6.9094e+05  1e+06  2e-16  2e-13\n",
      "19:  8.8357e+04 -9.9587e+04  2e+05  3e-16  4e-14\n",
      "20:  1.2389e+04 -1.4534e+04  3e+04  2e-16  2e-14\n",
      "21:  1.6671e+03 -2.1882e+03  4e+03  2e-16  4e-15\n",
      "22:  1.9298e+02 -3.5701e+02  5e+02  1e-16  2e-15\n",
      "23:  4.9013e+00 -7.1470e+01  8e+01  2e-16  1e-15\n",
      "24: -1.4364e+01 -2.3116e+01  9e+00  3e-16  3e-16\n",
      "25: -1.5871e+01 -1.7699e+01  2e+00  1e-16  1e-16\n",
      "26: -1.6233e+01 -1.6506e+01  3e-01  1e-16  8e-17\n",
      "27: -1.6258e+01 -1.6281e+01  2e-02  2e-16  7e-17\n",
      "28: -1.6259e+01 -1.6260e+01  1e-03  2e-16  1e-16\n",
      "29: -1.6259e+01 -1.6259e+01  2e-05  3e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.7795e+02 -7.2192e+06  1e+03  1e+00  1e+00\n",
      " 2:  1.0452e+03 -2.1077e+07  4e+03  1e+00  1e+00\n",
      " 3:  1.1502e+03 -2.5700e+07  5e+03  1e+00  1e+00\n",
      " 4:  7.9546e+02 -3.9918e+07  7e+03  1e+00  1e+00\n",
      " 5:  9.4047e+02 -5.5691e+08  1e+05  1e+00  1e+00\n",
      " 6:  1.4206e+02 -1.3639e+11  3e+07  1e+00  1e+00\n",
      " 7:  6.0539e+04 -1.1709e+16  5e+13  1e+00  1e+00\n",
      " 8:  4.8852e+09 -7.0942e+20  7e+20  2e-14  7e-02\n",
      " 9:  4.8852e+09 -7.0942e+18  7e+18  4e-16  5e-02\n",
      "10:  4.8852e+09 -7.0942e+16  7e+16  2e-16  6e-04\n",
      "11:  4.8852e+09 -7.0952e+14  7e+14  2e-16  5e-06\n",
      "12:  4.8848e+09 -7.1894e+12  7e+12  2e-16  6e-08\n",
      "13:  4.8441e+09 -1.6569e+11  2e+11  2e-16  1e-09\n",
      "14:  3.6892e+09 -2.6019e+10  3e+10  2e-16  2e-08\n",
      "15:  8.2332e+08 -2.0982e+09  3e+09  2e-16  4e-12\n",
      "16:  1.3663e+08 -1.6800e+08  3e+08  2e-16  1e-12\n",
      "17:  1.9681e+07 -2.1917e+07  4e+07  1e-16  7e-13\n",
      "18:  2.8219e+06 -3.1374e+06  6e+06  3e-16  3e-13\n",
      "19:  4.0316e+05 -4.4912e+05  9e+05  2e-16  1e-13\n",
      "20:  5.7219e+04 -6.4845e+04  1e+05  3e-16  4e-14\n",
      "21:  7.9811e+03 -9.5042e+03  2e+04  3e-16  9e-15\n",
      "22:  1.0561e+03 -1.4469e+03  3e+03  1e-16  6e-15\n",
      "23:  1.1330e+02 -2.4296e+02  4e+02  2e-16  3e-15\n",
      "24: -3.5777e+00 -5.2243e+01  5e+01  2e-16  4e-16\n",
      "25: -1.4724e+01 -1.9998e+01  5e+00  2e-16  3e-16\n",
      "26: -1.6127e+01 -1.7952e+01  2e+00  2e-16  1e-16\n",
      "27: -1.6250e+01 -1.6461e+01  2e-01  2e-16  8e-17\n",
      "28: -1.6263e+01 -1.6276e+01  1e-02  3e-16  7e-17\n",
      "29: -1.6263e+01 -1.6264e+01  2e-04  2e-16  1e-16\n",
      "30: -1.6263e+01 -1.6263e+01  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  ECQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.2810e+01 -2.9871e+05  6e+01  1e+00  1e+00\n",
      " 2:  2.4673e+00 -2.2434e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.0562e+01 -2.2467e+08  5e+04  1e+00  1e+00\n",
      " 4:  2.2186e+01 -7.4580e+11  3e+08  1e+00  1e+00\n",
      " 5:  1.0424e+05 -6.3685e+18  6e+18  3e-13  2e-02\n",
      " 6:  1.0424e+05 -6.3685e+16  6e+16  3e-15  7e-03\n",
      " 7:  1.0424e+05 -6.3685e+14  6e+14  1e-16  5e-05\n",
      " 8:  1.0424e+05 -6.3685e+12  6e+12  1e-16  8e-08\n",
      " 9:  1.0424e+05 -6.3685e+10  6e+10  2e-16  9e-09\n",
      "10:  1.0407e+05 -6.3713e+08  6e+08  2e-16  6e-11\n",
      "11:  8.9732e+04 -6.6053e+06  7e+06  2e-16  2e-12\n",
      "12:  1.6404e+04 -8.6634e+04  1e+05  2e-16  2e-14\n",
      "13:  2.3693e+03 -3.2066e+03  6e+03  1e-16  2e-15\n",
      "14:  3.2364e+02 -3.9930e+02  7e+02  1e-16  2e-15\n",
      "15:  4.0130e+01 -6.4029e+01  1e+02  7e-17  1e-15\n",
      "16:  2.7195e+00 -1.1873e+01  1e+01  1e-16  2e-15\n",
      "17: -1.5960e+00 -3.4005e+00  2e+00  2e-16  4e-16\n",
      "18: -2.0387e+00 -2.2909e+00  3e-01  2e-16  2e-16\n",
      "19: -2.0615e+00 -2.0728e+00  1e-02  2e-16  1e-16\n",
      "20: -2.0616e+00 -2.0617e+00  1e-04  2e-16  1e-16\n",
      "21: -2.0616e+00 -2.0616e+00  1e-06  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.4855e+01 -5.4039e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.2496e+00 -4.2405e+06  9e+02  1e+00  1e+00\n",
      " 3:  1.7897e+01 -4.5505e+07  9e+03  1e+00  1e+00\n",
      " 4:  2.1607e+01 -1.4127e+10  3e+06  1e+00  1e+00\n",
      " 5:  1.7805e+08 -3.1018e+17  3e+17  3e-13  6e-04\n",
      " 6:  1.7805e+08 -3.1018e+15  3e+15  2e-15  3e-04\n",
      " 7:  1.7805e+08 -3.1019e+13  3e+13  1e-16  6e-06\n",
      " 8:  1.7804e+08 -3.1090e+11  3e+11  2e-16  4e-08\n",
      " 9:  1.7684e+08 -3.8154e+09  4e+09  1e-16  4e-10\n",
      "10:  1.1051e+08 -4.6120e+08  6e+08  1e-16  1e-10\n",
      "11:  1.7096e+07 -4.0484e+07  6e+07  1e-16  2e-12\n",
      "12:  2.7360e+06 -3.2288e+06  6e+06  2e-16  4e-13\n",
      "13:  3.9354e+05 -4.4180e+05  8e+05  2e-16  1e-13\n",
      "14:  5.6322e+04 -6.2908e+04  1e+05  2e-16  7e-14\n",
      "15:  8.0072e+03 -9.0538e+03  2e+04  1e-16  9e-15\n",
      "16:  1.1206e+03 -1.3226e+03  2e+03  1e-16  8e-15\n",
      "17:  1.4962e+02 -2.0005e+02  3e+02  1e-16  3e-15\n",
      "18:  1.6621e+01 -3.3130e+01  5e+01  2e-16  1e-15\n",
      "19: -2.0643e-01 -6.9912e+00  7e+00  2e-16  1e-16\n",
      "20: -1.9656e+00 -3.0366e+00  1e+00  2e-16  1e-16\n",
      "21: -2.2248e+00 -2.3766e+00  2e-01  1e-16  3e-17\n",
      "22: -2.2372e+00 -2.2437e+00  6e-03  3e-16  2e-17\n",
      "23: -2.2373e+00 -2.2373e+00  7e-05  1e-16  5e-17\n",
      "24: -2.2373e+00 -2.2373e+00  7e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.4431e+01 -6.3724e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.7412e+01 -1.2864e+06  3e+02  1e+00  1e+00\n",
      " 3:  1.3478e+01 -1.5491e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.4326e+01 -4.0443e+08  8e+04  1e+00  1e+00\n",
      " 5:  2.3383e+01 -1.9708e+12  8e+08  1e+00  1e+00\n",
      " 6:  1.9827e+08 -1.2311e+19  1e+19  2e-13  1e-02\n",
      " 7:  1.9827e+08 -1.2311e+17  1e+17  2e-15  9e-03\n",
      " 8:  1.9827e+08 -1.2311e+15  1e+15  1e-16  1e-04\n",
      " 9:  1.9827e+08 -1.2312e+13  1e+13  2e-16  2e-06\n",
      "10:  1.9822e+08 -1.2452e+11  1e+11  9e-17  2e-08\n",
      "11:  1.9295e+08 -2.6069e+09  3e+09  4e-16  4e-10\n",
      "12:  5.1311e+07 -1.3061e+08  2e+08  2e-16  4e-09\n",
      "13:  7.7135e+06 -9.6756e+06  2e+07  2e-16  1e-12\n",
      "14:  1.1168e+06 -1.2606e+06  2e+06  2e-16  8e-13\n",
      "15:  1.6021e+05 -1.7909e+05  3e+05  2e-16  2e-13\n",
      "16:  2.2864e+04 -2.5621e+04  5e+04  2e-16  6e-14\n",
      "17:  3.2319e+03 -3.7101e+03  7e+03  1e-16  4e-14\n",
      "18:  4.4513e+02 -5.4898e+02  1e+03  2e-16  8e-15\n",
      "19:  5.6288e+01 -8.5794e+01  1e+02  2e-16  3e-15\n",
      "20:  4.5282e+00 -1.5482e+01  2e+01  2e-16  2e-15\n",
      "21: -1.5635e+00 -4.0981e+00  3e+00  2e-16  3e-16\n",
      "22: -2.2285e+00 -2.6268e+00  4e-01  2e-16  1e-16\n",
      "23: -2.2775e+00 -2.3039e+00  3e-02  1e-16  1e-16\n",
      "24: -2.2783e+00 -2.2787e+00  4e-04  1e-16  9e-17\n",
      "25: -2.2783e+00 -2.2783e+00  4e-06  2e-16  7e-17\n",
      "26: -2.2783e+00 -2.2783e+00  4e-08  4e-17  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.9588e+01 -8.4361e+05  1e+02  1e+00  1e+00\n",
      " 2:  7.4339e+01 -1.6431e+06  3e+02  1e+00  1e+00\n",
      " 3:  6.9732e+00 -1.3589e+07  3e+03  1e+00  1e+00\n",
      " 4:  3.6686e+01 -1.4833e+08  3e+04  1e+00  1e+00\n",
      " 5:  4.6857e+01 -1.1472e+11  3e+07  1e+00  1e+00\n",
      " 6:  2.4455e+08 -2.1281e+18  2e+18  5e-13  3e-03\n",
      " 7:  2.4455e+08 -2.1281e+16  2e+16  5e-15  1e-03\n",
      " 8:  2.4455e+08 -2.1281e+14  2e+14  1e-16  2e-05\n",
      " 9:  2.4455e+08 -2.1303e+12  2e+12  3e-16  3e-07\n",
      "10:  2.4414e+08 -2.3485e+10  2e+10  2e-16  3e-09\n",
      "11:  2.1102e+08 -2.1091e+09  2e+09  2e-16  3e-10\n",
      "12:  3.6737e+07 -3.3652e+08  4e+08  2e-16  5e-11\n",
      "13:  8.0839e+06 -1.5547e+07  2e+07  2e-16  1e-12\n",
      "14:  1.1721e+06 -1.2555e+06  2e+06  3e-16  6e-13\n",
      "15:  1.6812e+05 -1.8864e+05  4e+05  2e-16  2e-13\n",
      "16:  2.3976e+04 -2.6870e+04  5e+04  1e-16  6e-14\n",
      "17:  3.3855e+03 -3.8976e+03  7e+03  3e-16  2e-14\n",
      "18:  4.6497e+02 -5.7801e+02  1e+03  1e-16  6e-15\n",
      "19:  5.8271e+01 -9.0809e+01  1e+02  1e-16  4e-15\n",
      "20:  4.4371e+00 -1.6566e+01  2e+01  3e-16  7e-16\n",
      "21: -1.7270e+00 -4.3974e+00  3e+00  2e-16  3e-16\n",
      "22: -2.2522e+00 -2.6720e+00  4e-01  4e-16  1e-16\n",
      "23: -2.3165e+00 -2.3529e+00  4e-02  3e-16  2e-16\n",
      "24: -2.3179e+00 -2.3186e+00  8e-04  1e-16  1e-16\n",
      "25: -2.3179e+00 -2.3179e+00  8e-06  2e-16  7e-17\n",
      "26: -2.3179e+00 -2.3179e+00  8e-08  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.1868e+01 -1.0439e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.0786e+02 -2.1710e+06  4e+02  1e+00  1e+00\n",
      " 3:  2.5049e+01 -6.4186e+06  1e+03  1e+00  1e+00\n",
      " 4:  5.1311e+01 -3.4239e+07  7e+03  1e+00  1e+00\n",
      " 5:  5.5033e+01 -3.3071e+09  7e+05  1e+00  1e+00\n",
      " 6:  2.9464e+08 -7.9160e+16  8e+16  4e-13  6e-05\n",
      " 7:  2.9464e+08 -7.9160e+14  8e+14  4e-15  6e-05\n",
      " 8:  2.9464e+08 -7.9186e+12  8e+12  2e-16  5e-07\n",
      " 9:  2.9450e+08 -8.1778e+10  8e+10  2e-16  7e-09\n",
      "10:  2.8132e+08 -3.2956e+09  4e+09  2e-16  3e-10\n",
      "11:  6.2612e+07 -5.3564e+08  6e+08  2e-16  1e-09\n",
      "12:  1.3999e+07 -2.6508e+07  4e+07  1e-16  6e-11\n",
      "13:  2.0354e+06 -2.1911e+06  4e+06  2e-16  2e-13\n",
      "14:  2.9213e+05 -3.2768e+05  6e+05  2e-16  3e-13\n",
      "15:  4.1712e+04 -4.6608e+04  9e+04  2e-16  5e-14\n",
      "16:  5.9082e+03 -6.7412e+03  1e+04  2e-16  2e-14\n",
      "17:  8.1903e+02 -9.9261e+02  2e+03  2e-16  1e-14\n",
      "18:  1.0616e+02 -1.5304e+02  3e+02  3e-16  4e-15\n",
      "19:  1.0223e+01 -2.6555e+01  4e+01  2e-16  8e-16\n",
      "20: -1.2583e+00 -6.1788e+00  5e+00  1e-16  4e-16\n",
      "21: -2.2279e+00 -2.8673e+00  6e-01  1e-16  2e-16\n",
      "22: -2.3508e+00 -2.4543e+00  1e-01  2e-16  1e-16\n",
      "23: -2.3578e+00 -2.3628e+00  5e-03  2e-16  1e-16\n",
      "24: -2.3579e+00 -2.3580e+00  6e-05  1e-16  6e-17\n",
      "25: -2.3579e+00 -2.3579e+00  6e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.3732e+01 -1.2464e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.4582e+02 -2.8370e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.2634e+01 -7.2202e+06  1e+03  1e+00  1e+00\n",
      " 4:  6.0620e+01 -2.7622e+07  5e+03  1e+00  1e+00\n",
      " 5:  8.2238e+01 -9.3027e+08  2e+05  1e+00  1e+00\n",
      " 6:  2.7071e+08 -2.2844e+16  2e+16  6e-13  2e-05\n",
      " 7:  2.7071e+08 -2.2844e+14  2e+14  6e-15  1e-05\n",
      " 8:  2.7070e+08 -2.2866e+12  2e+12  2e-16  8e-08\n",
      " 9:  2.6992e+08 -2.5060e+10  3e+10  2e-16  2e-09\n",
      "10:  2.1402e+08 -1.9977e+09  2e+09  1e-16  2e-10\n",
      "11:  4.2801e+07 -1.4739e+08  2e+08  2e-16  4e-11\n",
      "12:  7.2318e+06 -9.7999e+06  2e+07  1e-16  1e-12\n",
      "13:  1.0400e+06 -1.1515e+06  2e+06  3e-16  5e-13\n",
      "14:  1.4900e+05 -1.6633e+05  3e+05  3e-16  2e-13\n",
      "15:  2.1233e+04 -2.3835e+04  5e+04  2e-16  5e-14\n",
      "16:  2.9927e+03 -3.4618e+03  6e+03  2e-16  3e-14\n",
      "17:  4.0894e+02 -5.1537e+02  9e+02  2e-16  1e-14\n",
      "18:  5.0324e+01 -8.1742e+01  1e+02  1e-16  3e-15\n",
      "19:  3.3072e+00 -1.5253e+01  2e+01  2e-16  1e-15\n",
      "20: -1.9009e+00 -4.2213e+00  2e+00  3e-16  4e-16\n",
      "21: -2.3008e+00 -2.6898e+00  4e-01  2e-16  9e-17\n",
      "22: -2.3841e+00 -2.4467e+00  6e-02  9e-17  8e-17\n",
      "23: -2.3883e+00 -2.3912e+00  3e-03  1e-16  5e-17\n",
      "24: -2.3883e+00 -2.3884e+00  3e-05  1e-16  7e-17\n",
      "25: -2.3883e+00 -2.3883e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  4.7176e+01 -1.4674e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.8331e+02 -3.5168e+06  7e+02  1e+00  1e+00\n",
      " 3:  4.0351e+00 -9.9442e+06  2e+03  1e+00  1e+00\n",
      " 4:  4.0775e+01 -3.5957e+07  7e+03  1e+00  1e+00\n",
      " 5:  5.8365e+01 -4.5785e+08  9e+04  1e+00  1e+00\n",
      " 6:  6.4803e+01 -1.0246e+11  2e+07  1e+00  1e+00\n",
      " 7:  1.0871e+09 -2.3251e+18  2e+18  5e-13  2e-03\n",
      " 8:  1.0871e+09 -2.3251e+16  2e+16  5e-15  1e-03\n",
      " 9:  1.0871e+09 -2.3252e+14  2e+14  2e-16  1e-05\n",
      "10:  1.0871e+09 -2.3312e+12  2e+12  2e-16  2e-07\n",
      "11:  1.0844e+09 -2.9312e+10  3e+10  2e-16  2e-09\n",
      "12:  8.9715e+08 -5.2161e+09  6e+09  2e-16  1e-08\n",
      "13:  1.1825e+08 -1.6484e+09  2e+09  1e-16  4e-11\n",
      "14:  2.9875e+07 -5.4936e+07  8e+07  1e-16  2e-12\n",
      "15:  4.4464e+06 -4.8643e+06  9e+06  1e-16  5e-13\n",
      "16:  6.3800e+05 -7.1130e+05  1e+06  2e-16  4e-13\n",
      "17:  9.1205e+04 -1.0145e+05  2e+05  2e-16  9e-14\n",
      "18:  1.2964e+04 -1.4631e+04  3e+04  1e-16  3e-14\n",
      "19:  1.8157e+03 -2.1373e+03  4e+03  2e-16  1e-14\n",
      "20:  2.4346e+02 -3.2256e+02  6e+02  2e-16  8e-15\n",
      "21:  2.7783e+01 -5.2946e+01  8e+01  2e-16  2e-15\n",
      "22:  4.6036e-01 -1.0738e+01  1e+01  2e-16  6e-16\n",
      "23: -2.2397e+00 -3.5208e+00  1e+00  2e-16  2e-16\n",
      "24: -2.3811e+00 -2.6156e+00  2e-01  1e-16  1e-16\n",
      "25: -2.4013e+00 -2.4204e+00  2e-02  2e-16  7e-17\n",
      "26: -2.4016e+00 -2.4019e+00  2e-04  2e-16  1e-16\n",
      "27: -2.4016e+00 -2.4016e+00  2e-06  1e-16  5e-17\n",
      "28: -2.4016e+00 -2.4016e+00  2e-08  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  4.8736e+01 -1.6778e+06  2e+02  1e+00  1e+00\n",
      " 2:  2.2727e+02 -4.3451e+06  9e+02  1e+00  1e+00\n",
      " 3:  5.8253e+00 -1.0925e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.0560e+01 -3.8241e+07  8e+03  1e+00  1e+00\n",
      " 5:  7.9590e+01 -4.0212e+08  8e+04  1e+00  1e+00\n",
      " 6:  9.1457e+01 -7.3331e+10  2e+07  1e+00  1e+00\n",
      " 7:  1.0947e+09 -1.6928e+18  2e+18  5e-13  9e-04\n",
      " 8:  1.0947e+09 -1.6928e+16  2e+16  5e-15  6e-04\n",
      " 9:  1.0947e+09 -1.6928e+14  2e+14  2e-16  7e-06\n",
      "10:  1.0946e+09 -1.6997e+12  2e+12  2e-16  1e-07\n",
      "11:  1.0903e+09 -2.3828e+10  2e+10  1e-16  2e-09\n",
      "12:  8.3363e+08 -5.3282e+09  6e+09  1e-16  4e-08\n",
      "13:  1.3548e+08 -1.2317e+09  1e+09  1e-16  9e-12\n",
      "14:  2.9937e+07 -5.2814e+07  8e+07  2e-16  3e-12\n",
      "15:  4.3425e+06 -4.6548e+06  9e+06  1e-16  5e-13\n",
      "16:  6.2326e+05 -6.9665e+05  1e+06  1e-16  3e-13\n",
      "17:  8.9091e+04 -9.9104e+04  2e+05  1e-16  1e-13\n",
      "18:  1.2662e+04 -1.4296e+04  3e+04  2e-16  3e-14\n",
      "19:  1.7728e+03 -2.0888e+03  4e+03  2e-16  2e-14\n",
      "20:  2.3747e+02 -3.1546e+02  6e+02  1e-16  6e-15\n",
      "21:  2.6976e+01 -5.1875e+01  8e+01  2e-16  2e-15\n",
      "22:  3.6223e-01 -1.0567e+01  1e+01  2e-16  7e-16\n",
      "23: -2.2501e+00 -3.4930e+00  1e+00  2e-16  2e-16\n",
      "24: -2.3864e+00 -2.6388e+00  3e-01  2e-16  1e-16\n",
      "25: -2.4120e+00 -2.4366e+00  2e-02  2e-16  7e-17\n",
      "26: -2.4126e+00 -2.4131e+00  4e-04  2e-16  6e-17\n",
      "27: -2.4126e+00 -2.4126e+00  4e-06  1e-16  6e-17\n",
      "28: -2.4126e+00 -2.4126e+00  4e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  4.9586e+01 -1.8842e+06  3e+02  1e+00  1e+00\n",
      " 2:  2.7841e+02 -5.3222e+06  1e+03  1e+00  1e+00\n",
      " 3:  8.6979e+00 -1.2756e+07  3e+03  1e+00  1e+00\n",
      " 4:  9.2847e+01 -4.9027e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.2337e+02 -9.3318e+08  2e+05  1e+00  1e+00\n",
      " 6:  1.2615e+02 -7.9220e+11  2e+08  1e+00  1e+00\n",
      " 7:  9.1372e+08 -1.4283e+19  1e+19  6e-13  7e-03\n",
      " 8:  9.1372e+08 -1.4283e+17  1e+17  6e-15  3e-03\n",
      " 9:  9.1372e+08 -1.4283e+15  1e+15  1e-16  5e-05\n",
      "10:  9.1371e+08 -1.4290e+13  1e+13  2e-16  6e-07\n",
      "11:  9.1314e+08 -1.4948e+11  2e+11  2e-16  7e-09\n",
      "12:  8.6082e+08 -7.6975e+09  9e+09  2e-16  4e-10\n",
      "13:  1.4950e+08 -1.6087e+09  2e+09  1e-16  2e-09\n",
      "14:  3.5257e+07 -6.8337e+07  1e+08  2e-16  7e-11\n",
      "15:  5.2142e+06 -5.7250e+06  1e+07  2e-16  9e-13\n",
      "16:  7.4842e+05 -8.3540e+05  2e+06  1e-16  3e-13\n",
      "17:  1.0702e+05 -1.1902e+05  2e+05  2e-16  1e-13\n",
      "18:  1.5223e+04 -1.7151e+04  3e+04  2e-16  4e-14\n",
      "19:  2.1359e+03 -2.5014e+03  5e+03  2e-16  1e-14\n",
      "20:  2.8800e+02 -3.7606e+02  7e+02  1e-16  6e-15\n",
      "21:  3.3650e+01 -6.1122e+01  9e+01  2e-16  2e-15\n",
      "22:  1.1088e+00 -1.2098e+01  1e+01  1e-16  1e-15\n",
      "23: -2.2085e+00 -3.7678e+00  2e+00  1e-16  2e-16\n",
      "24: -2.3887e+00 -2.6688e+00  3e-01  2e-16  8e-17\n",
      "25: -2.4232e+00 -2.4597e+00  4e-02  1e-16  4e-17\n",
      "26: -2.4243e+00 -2.4251e+00  8e-04  2e-16  1e-16\n",
      "27: -2.4243e+00 -2.4243e+00  8e-06  3e-16  8e-17\n",
      "28: -2.4243e+00 -2.4243e+00  8e-08  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "processing  FSQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.0733e+02 -1.1884e+06  2e+02  1e+00  1e+00\n",
      " 2:  5.5765e+00 -3.0343e+06  8e+02  1e+00  1e+00\n",
      " 3:  4.7225e+01 -8.4984e+07  2e+04  1e+00  1e+00\n",
      " 4:  1.0618e+02 -1.5186e+10  3e+06  1e+00  1e+00\n",
      " 5:  8.0383e+05 -3.4876e+17  3e+17  3e-13  1e-04\n",
      " 6:  8.0383e+05 -3.4876e+15  3e+15  2e-15  9e-05\n",
      " 7:  8.0383e+05 -3.4876e+13  3e+13  1e-16  2e-06\n",
      " 8:  8.0382e+05 -3.4876e+11  3e+11  2e-16  2e-08\n",
      " 9:  8.0251e+05 -3.4894e+09  3e+09  7e-17  2e-10\n",
      "10:  6.9081e+05 -3.6427e+07  4e+07  3e-16  2e-12\n",
      "11:  1.2615e+05 -5.1122e+05  6e+05  2e-16  1e-13\n",
      "12:  1.8252e+04 -2.2979e+04  4e+04  2e-16  2e-14\n",
      "13:  2.5108e+03 -3.0678e+03  6e+03  2e-16  8e-15\n",
      "14:  3.1815e+02 -4.8334e+02  8e+02  1e-16  2e-15\n",
      "15:  2.5958e+01 -8.6939e+01  1e+02  2e-16  1e-15\n",
      "16: -8.3937e+00 -2.2782e+01  1e+01  2e-16  2e-16\n",
      "17: -1.1813e+01 -1.3824e+01  2e+00  1e-16  1e-16\n",
      "18: -1.2208e+01 -1.2421e+01  2e-01  1e-16  6e-17\n",
      "19: -1.2218e+01 -1.2223e+01  4e-03  2e-16  6e-17\n",
      "20: -1.2218e+01 -1.2218e+01  4e-05  2e-16  1e-16\n",
      "21: -1.2218e+01 -1.2218e+01  4e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.1054e+02 -1.5699e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0353e+02 -2.4380e+06  5e+02  1e+00  1e+00\n",
      " 3:  5.5752e+01 -1.2272e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.4456e+02 -1.3896e+08  3e+04  1e+00  1e+00\n",
      " 5:  4.4285e+01 -3.5770e+11  1e+08  1e+00  1e+00\n",
      " 6:  2.3756e+09 -3.8357e+18  4e+18  3e-13  1e-03\n",
      " 7:  2.3756e+09 -3.8357e+16  4e+16  3e-15  9e-04\n",
      " 8:  2.3756e+09 -3.8358e+14  4e+14  1e-16  1e-05\n",
      " 9:  2.3756e+09 -3.8492e+12  4e+12  1e-16  8e-08\n",
      "10:  2.3737e+09 -5.1908e+10  5e+10  1e-16  1e-09\n",
      "11:  2.2392e+09 -1.3045e+10  2e+10  1e-16  3e-10\n",
      "12:  1.2886e+08 -1.8092e+10  2e+10  6e-17  3e-10\n",
      "13:  8.6165e+07 -4.5656e+08  5e+08  1e-16  1e-11\n",
      "14:  1.4794e+07 -2.1758e+07  4e+07  2e-16  1e-12\n",
      "15:  2.1209e+06 -2.3165e+06  4e+06  2e-16  2e-13\n",
      "16:  3.0348e+05 -3.3953e+05  6e+05  1e-16  2e-13\n",
      "17:  4.3119e+04 -4.8786e+04  9e+04  2e-16  6e-14\n",
      "18:  6.0274e+03 -7.1376e+03  1e+04  2e-16  2e-14\n",
      "19:  8.0194e+02 -1.0823e+03  2e+03  1e-16  6e-15\n",
      "20:  8.7472e+01 -1.8056e+02  3e+02  3e-16  2e-15\n",
      "21: -2.3640e+00 -3.8875e+01  4e+01  2e-16  6e-16\n",
      "22: -1.1495e+01 -1.5350e+01  4e+00  2e-16  1e-16\n",
      "23: -1.2294e+01 -1.2664e+01  4e-01  2e-16  1e-16\n",
      "24: -1.2358e+01 -1.2390e+01  3e-02  2e-16  7e-17\n",
      "25: -1.2359e+01 -1.2359e+01  5e-04  2e-16  2e-16\n",
      "26: -1.2359e+01 -1.2359e+01  5e-06  3e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.2219e+02 -2.2221e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.7014e+02 -3.6521e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.2270e+02 -6.2846e+06  1e+03  1e+00  1e+00\n",
      " 4:  2.0378e+02 -4.9223e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.0237e+01 -8.7693e+09  2e+06  1e+00  1e+00\n",
      " 6:  2.3900e+01 -9.2029e+12  2e+09  1e+00  1e+00\n",
      " 7:  3.7481e+09 -1.4312e+20  1e+20  3e-13  3e-02\n",
      " 8:  3.7481e+09 -1.4312e+18  1e+18  3e-15  3e-02\n",
      " 9:  3.7481e+09 -1.4312e+16  1e+16  2e-16  1e-04\n",
      "10:  3.7481e+09 -1.4314e+14  1e+14  2e-16  2e-06\n",
      "11:  3.7478e+09 -1.4479e+12  1e+12  2e-16  2e-08\n",
      "12:  3.7205e+09 -3.0933e+10  3e+10  2e-16  5e-10\n",
      "13:  2.2195e+09 -9.1297e+09  1e+10  8e-17  1e-10\n",
      "14:  3.5144e+08 -3.2157e+09  4e+09  3e-16  5e-12\n",
      "15:  8.4627e+07 -1.3659e+08  2e+08  3e-16  5e-13\n",
      "16:  1.2560e+07 -1.3721e+07  3e+07  2e-16  3e-13\n",
      "17:  1.8028e+06 -2.0167e+06  4e+06  1e-16  3e-13\n",
      "18:  2.5754e+05 -2.8742e+05  5e+05  2e-16  1e-13\n",
      "19:  3.6517e+04 -4.1536e+04  8e+04  2e-16  2e-14\n",
      "20:  5.0778e+03 -6.1020e+03  1e+04  1e-16  1e-14\n",
      "21:  6.6491e+02 -9.3506e+02  2e+03  2e-16  4e-15\n",
      "22:  6.7549e+01 -1.5978e+02  2e+02  3e-16  1e-15\n",
      "23: -5.2823e+00 -3.5965e+01  3e+01  1e-16  5e-16\n",
      "24: -1.1943e+01 -1.4922e+01  3e+00  2e-16  2e-16\n",
      "25: -1.2435e+01 -1.2746e+01  3e-01  2e-16  1e-16\n",
      "26: -1.2454e+01 -1.2461e+01  7e-03  1e-16  1e-16\n",
      "27: -1.2454e+01 -1.2454e+01  8e-05  2e-16  2e-16\n",
      "28: -1.2454e+01 -1.2454e+01  8e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.4739e+02 -3.0462e+06  5e+02  1e+00  1e+00\n",
      " 2:  2.4687e+02 -5.1809e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.6569e+02 -9.8845e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.8121e+02 -6.6103e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.6960e+01 -7.3366e+09  2e+06  1e+00  1e+00\n",
      " 6:  4.0990e+01 -6.3894e+12  2e+09  1e+00  1e+00\n",
      " 7:  3.1861e+09 -1.0895e+20  1e+20  3e-13  3e-02\n",
      " 8:  3.1861e+09 -1.0895e+18  1e+18  3e-15  2e-02\n",
      " 9:  3.1861e+09 -1.0895e+16  1e+16  2e-16  2e-04\n",
      "10:  3.1861e+09 -1.0897e+14  1e+14  1e-16  3e-06\n",
      "11:  3.1857e+09 -1.1148e+12  1e+12  2e-16  3e-08\n",
      "12:  3.1529e+09 -3.6062e+10  4e+10  2e-16  1e-09\n",
      "13:  8.5644e+08 -1.4334e+10  2e+10  1e-16  4e-09\n",
      "14:  3.0786e+08 -6.9221e+08  1e+09  2e-16  2e-10\n",
      "15:  4.9000e+07 -5.6327e+07  1e+08  2e-16  4e-12\n",
      "16:  7.0552e+06 -7.8987e+06  1e+07  1e-16  4e-13\n",
      "17:  1.0109e+06 -1.1240e+06  2e+06  2e-16  1e-13\n",
      "18:  1.4420e+05 -1.6136e+05  3e+05  2e-16  6e-14\n",
      "19:  2.0379e+04 -2.3384e+04  4e+04  2e-16  2e-14\n",
      "20:  2.8073e+03 -3.4607e+03  6e+03  2e-16  1e-14\n",
      "21:  3.5573e+02 -5.4050e+02  9e+02  9e-17  2e-15\n",
      "22:  2.9350e+01 -9.7156e+01  1e+02  2e-16  1e-15\n",
      "23: -8.6573e+00 -2.4954e+01  2e+01  4e-16  6e-16\n",
      "24: -1.1990e+01 -1.4411e+01  2e+00  1e-16  7e-17\n",
      "25: -1.2478e+01 -1.2754e+01  3e-01  1e-16  6e-17\n",
      "26: -1.2499e+01 -1.2512e+01  1e-02  4e-16  1e-16\n",
      "27: -1.2500e+01 -1.2500e+01  2e-04  1e-16  5e-17\n",
      "28: -1.2500e+01 -1.2500e+01  2e-06  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.9767e+02 -4.3162e+06  7e+02  1e+00  1e+00\n",
      " 2:  3.1184e+02 -6.6498e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.2732e+02 -9.9448e+06  2e+03  1e+00  1e+00\n",
      " 4:  9.1857e+01 -5.0477e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.5955e+02 -3.4279e+08  7e+04  1e+00  1e+00\n",
      " 6:  1.8593e+02 -2.2915e+10  5e+06  1e+00  1e+00\n",
      " 7:  1.7305e+09 -5.5109e+17  6e+17  4e-13  1e-04\n",
      " 8:  1.7305e+09 -5.5109e+15  6e+15  4e-15  6e-05\n",
      " 9:  1.7305e+09 -5.5128e+13  6e+13  2e-16  8e-07\n",
      "10:  1.7299e+09 -5.6974e+11  6e+11  2e-16  1e-08\n",
      "11:  1.6777e+09 -2.3631e+10  3e+10  1e-16  8e-10\n",
      "12:  3.7810e+08 -6.0339e+09  6e+09  1e-16  4e-09\n",
      "13:  1.0006e+08 -2.1633e+08  3e+08  1e-16  1e-10\n",
      "14:  1.5390e+07 -1.7403e+07  3e+07  1e-16  2e-12\n",
      "15:  2.2078e+06 -2.4545e+06  5e+06  1e-16  1e-13\n",
      "16:  3.1553e+05 -3.5159e+05  7e+05  3e-16  1e-13\n",
      "17:  4.4801e+04 -5.0730e+04  1e+05  2e-16  3e-14\n",
      "18:  6.2548e+03 -7.4294e+03  1e+04  9e-17  8e-15\n",
      "19:  8.2979e+02 -1.1290e+03  2e+03  2e-16  5e-15\n",
      "20:  8.9783e+01 -1.8895e+02  3e+02  2e-16  2e-15\n",
      "21: -2.5646e+00 -4.0588e+01  4e+01  2e-16  4e-16\n",
      "22: -1.1669e+01 -1.5617e+01  4e+00  2e-16  3e-16\n",
      "23: -1.2463e+01 -1.2927e+01  5e-01  2e-16  1e-16\n",
      "24: -1.2527e+01 -1.2566e+01  4e-02  2e-16  1e-16\n",
      "25: -1.2531e+01 -1.2533e+01  2e-03  2e-16  9e-17\n",
      "26: -1.2531e+01 -1.2531e+01  3e-05  2e-16  4e-17\n",
      "27: -1.2531e+01 -1.2531e+01  3e-07  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.8704e+02 -6.1684e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.8774e+02 -8.7818e+06  2e+03  1e+00  1e+00\n",
      " 3:  3.9110e+02 -1.2663e+07  2e+03  1e+00  1e+00\n",
      " 4:  6.1961e+01 -1.0276e+08  2e+04  1e+00  1e+00\n",
      " 5:  1.4874e+02 -7.7463e+08  2e+05  1e+00  1e+00\n",
      " 6:  2.2329e+02 -5.7220e+10  1e+07  1e+00  1e+00\n",
      " 7:  2.4654e+09 -1.3679e+18  1e+18  5e-13  4e-04\n",
      " 8:  2.4654e+09 -1.3679e+16  1e+16  5e-15  2e-04\n",
      " 9:  2.4654e+09 -1.3681e+14  1e+14  2e-16  2e-06\n",
      "10:  2.4650e+09 -1.3951e+12  1e+12  3e-16  2e-08\n",
      "11:  2.4238e+09 -4.0624e+10  4e+10  1e-16  8e-10\n",
      "12:  9.0227e+08 -8.6858e+09  1e+10  2e-16  3e-08\n",
      "13:  2.3924e+08 -5.0622e+08  7e+08  2e-16  2e-09\n",
      "14:  3.5825e+07 -3.8996e+07  7e+07  1e-16  7e-12\n",
      "15:  5.1535e+06 -5.7991e+06  1e+07  2e-16  4e-13\n",
      "16:  7.3780e+05 -8.2041e+05  2e+06  3e-16  1e-13\n",
      "17:  1.0513e+05 -1.1798e+05  2e+05  2e-16  4e-14\n",
      "18:  1.4817e+04 -1.7136e+04  3e+04  1e-16  8e-15\n",
      "19:  2.0249e+03 -2.5514e+03  5e+03  2e-16  9e-15\n",
      "20:  2.4929e+02 -4.0462e+02  7e+02  2e-16  4e-15\n",
      "21:  1.6389e+01 -7.5486e+01  9e+01  3e-16  1e-15\n",
      "22: -9.5648e+00 -2.0982e+01  1e+01  1e-16  4e-16\n",
      "23: -1.2129e+01 -1.4556e+01  2e+00  1e-16  1e-16\n",
      "24: -1.2529e+01 -1.2770e+01  2e-01  2e-16  1e-16\n",
      "25: -1.2547e+01 -1.2560e+01  1e-02  2e-16  1e-16\n",
      "26: -1.2548e+01 -1.2548e+01  4e-04  2e-16  1e-16\n",
      "27: -1.2548e+01 -1.2548e+01  5e-06  1e-16  8e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.3868e+02 -6.2287e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.8176e+02 -8.7579e+06  1e+03  1e+00  1e+00\n",
      " 3:  5.6269e+02 -1.3362e+07  3e+03  1e+00  1e+00\n",
      " 4:  4.7983e+02 -2.9493e+07  6e+03  1e+00  1e+00\n",
      " 5:  1.1305e+02 -5.5148e+08  1e+05  1e+00  1e+00\n",
      " 6:  2.3059e+02 -1.5478e+10  3e+06  1e+00  1e+00\n",
      " 7:  2.4577e+02 -4.1268e+13  1e+10  1e+00  1e+00\n",
      " 8:  2.5137e+09 -4.2274e+20  4e+20  2e-13  8e-02\n",
      " 9:  2.5137e+09 -4.2274e+18  4e+18  1e-15  3e-02\n",
      "10:  2.5137e+09 -4.2274e+16  4e+16  1e-16  5e-04\n",
      "11:  2.5137e+09 -4.2278e+14  4e+14  2e-16  6e-06\n",
      "12:  2.5135e+09 -4.2751e+12  4e+12  1e-16  9e-08\n",
      "13:  2.4977e+09 -8.9760e+10  9e+10  1e-16  2e-09\n",
      "14:  1.6466e+09 -1.3134e+10  1e+10  1e-16  5e-08\n",
      "15:  3.6807e+08 -1.1403e+09  2e+09  2e-16  4e-12\n",
      "16:  6.2211e+07 -7.9434e+07  1e+08  1e-16  2e-12\n",
      "17:  8.9593e+06 -9.9386e+06  2e+07  1e-16  5e-13\n",
      "18:  1.2842e+06 -1.4299e+06  3e+06  2e-16  2e-13\n",
      "19:  1.8330e+05 -2.0476e+05  4e+05  2e-16  6e-14\n",
      "20:  2.5951e+04 -2.9628e+04  6e+04  2e-16  3e-14\n",
      "21:  3.5934e+03 -4.3673e+03  8e+03  2e-16  1e-14\n",
      "22:  4.6385e+02 -6.7496e+02  1e+03  1e-16  6e-15\n",
      "23:  4.3371e+01 -1.1796e+02  2e+02  2e-16  1e-15\n",
      "24: -6.8986e+00 -2.8187e+01  2e+01  2e-16  5e-16\n",
      "25: -1.1376e+01 -1.6333e+01  5e+00  2e-16  2e-16\n",
      "26: -1.2498e+01 -1.3336e+01  8e-01  2e-16  2e-16\n",
      "27: -1.2559e+01 -1.2608e+01  5e-02  2e-16  8e-17\n",
      "28: -1.2562e+01 -1.2565e+01  3e-03  2e-16  1e-16\n",
      "29: -1.2562e+01 -1.2562e+01  9e-05  7e-17  1e-16\n",
      "30: -1.2562e+01 -1.2562e+01  9e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.5634e+02 -7.2269e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.0912e+02 -9.9807e+06  2e+03  1e+00  1e+00\n",
      " 3:  5.9477e+02 -1.3996e+07  3e+03  1e+00  1e+00\n",
      " 4:  7.2925e+02 -2.5977e+07  5e+03  1e+00  1e+00\n",
      " 5:  2.8157e+02 -6.7052e+07  1e+04  1e+00  1e+00\n",
      " 6:  4.5817e+02 -4.5346e+08  9e+04  1e+00  1e+00\n",
      " 7:  4.0148e+02 -1.3025e+11  3e+07  1e+00  1e+00\n",
      " 8:  2.4926e+09 -2.8742e+18  3e+18  6e-13  2e-04\n",
      " 9:  2.4926e+09 -2.8742e+16  3e+16  6e-15  3e-04\n",
      "10:  2.4926e+09 -2.8745e+14  3e+14  3e-16  3e-06\n",
      "11:  2.4921e+09 -2.9102e+12  3e+12  2e-16  4e-08\n",
      "12:  2.4452e+09 -6.4244e+10  7e+10  2e-16  9e-10\n",
      "13:  1.0901e+09 -4.7235e+09  6e+09  8e-17  1e-08\n",
      "14:  1.8592e+08 -2.4522e+08  4e+08  2e-16  4e-11\n",
      "15:  2.7008e+07 -3.0623e+07  6e+07  2e-16  9e-13\n",
      "16:  3.8805e+06 -4.3379e+06  8e+06  2e-16  4e-13\n",
      "17:  5.5521e+05 -6.1816e+05  1e+06  2e-16  1e-13\n",
      "18:  7.9013e+04 -8.8955e+04  2e+05  2e-16  8e-14\n",
      "19:  1.1099e+04 -1.2959e+04  2e+04  1e-16  1e-14\n",
      "20:  1.5015e+03 -1.9435e+03  3e+03  2e-16  8e-15\n",
      "21:  1.7751e+02 -3.1416e+02  5e+02  2e-16  3e-15\n",
      "22:  6.9030e+00 -6.1598e+01  7e+01  2e-16  1e-15\n",
      "23: -1.1114e+01 -1.9200e+01  8e+00  2e-16  4e-16\n",
      "24: -1.2420e+01 -1.3126e+01  7e-01  2e-16  8e-17\n",
      "25: -1.2556e+01 -1.2658e+01  1e-01  2e-16  7e-17\n",
      "26: -1.2568e+01 -1.2574e+01  6e-03  2e-16  2e-16\n",
      "27: -1.2569e+01 -1.2569e+01  4e-04  2e-16  1e-16\n",
      "28: -1.2569e+01 -1.2569e+01  5e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  3.3373e+02 -9.2267e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.2609e+02 -1.0899e+07  2e+03  1e+00  1e+00\n",
      " 3:  6.0862e+02 -1.4469e+07  3e+03  1e+00  1e+00\n",
      " 4:  7.9747e+02 -2.5508e+07  5e+03  1e+00  1e+00\n",
      " 5:  2.7269e+02 -1.0400e+08  2e+04  1e+00  1e+00\n",
      " 6:  3.9276e+02 -5.5390e+08  1e+05  1e+00  1e+00\n",
      " 7:  6.2775e+02 -3.9925e+10  8e+06  1e+00  1e+00\n",
      " 8:  2.1146e+09 -9.5696e+17  1e+18  5e-13  2e-04\n",
      " 9:  2.1146e+09 -9.5696e+15  1e+16  5e-15  7e-05\n",
      "10:  2.1146e+09 -9.5744e+13  1e+14  2e-16  7e-07\n",
      "11:  2.1135e+09 -1.0055e+12  1e+12  1e-16  1e-08\n",
      "12:  2.0160e+09 -5.5936e+10  6e+10  1e-16  6e-10\n",
      "13:  8.6667e+08 -1.6581e+10  2e+10  2e-16  7e-10\n",
      "14:  2.3438e+08 -6.6189e+08  9e+08  2e-16  3e-11\n",
      "15:  3.5664e+07 -4.0707e+07  8e+07  2e-16  9e-13\n",
      "16:  5.1187e+06 -5.6872e+06  1e+07  2e-16  3e-13\n",
      "17:  7.3271e+05 -8.1309e+05  2e+06  1e-16  1e-13\n",
      "18:  1.0446e+05 -1.1688e+05  2e+05  2e-16  7e-14\n",
      "19:  1.4749e+04 -1.6957e+04  3e+04  2e-16  2e-14\n",
      "20:  2.0262e+03 -2.5148e+03  5e+03  2e-16  5e-15\n",
      "21:  2.5395e+02 -3.9495e+02  6e+02  1e-16  2e-15\n",
      "22:  1.9006e+01 -7.2205e+01  9e+01  2e-16  1e-15\n",
      "23: -7.1264e+00 -2.3247e+01  2e+01  2e-16  3e-16\n",
      "24: -1.1836e+01 -2.0767e+01  9e+00  3e-16  2e-16\n",
      "25: -1.2517e+01 -1.2863e+01  3e-01  2e-16  1e-16\n",
      "26: -1.2570e+01 -1.2604e+01  3e-02  2e-16  8e-17\n",
      "27: -1.2574e+01 -1.2577e+01  3e-03  2e-16  8e-17\n",
      "28: -1.2575e+01 -1.2575e+01  2e-04  2e-16  6e-17\n",
      "29: -1.2575e+01 -1.2575e+01  1e-05  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "processing  HIQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  5.3743e+01 -5.9480e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.4994e-01 -2.0908e+06  5e+02  1e+00  1e+00\n",
      " 3:  9.7031e+00 -4.2722e+07  9e+03  1e+00  1e+00\n",
      " 4:  2.6909e+01 -3.8049e+09  8e+05  1e+00  1e+00\n",
      " 5:  8.2415e+07 -9.0895e+16  9e+16  4e-13  5e-05\n",
      " 6:  8.2415e+07 -9.0895e+14  9e+14  4e-15  7e-05\n",
      " 7:  8.2415e+07 -9.0897e+12  9e+12  1e-16  7e-07\n",
      " 8:  8.2390e+07 -9.1143e+10  9e+10  3e-16  1e-08\n",
      " 9:  7.9959e+07 -1.1496e+09  1e+09  2e-16  1e-10\n",
      "10:  2.5440e+07 -6.8407e+07  9e+07  1e-16  6e-12\n",
      "11:  3.7471e+06 -4.3331e+06  8e+06  3e-16  2e-13\n",
      "12:  5.3832e+05 -6.0674e+05  1e+06  2e-16  1e-13\n",
      "13:  7.6834e+04 -8.6438e+04  2e+05  3e-16  5e-14\n",
      "14:  1.0847e+04 -1.2520e+04  2e+04  3e-16  1e-14\n",
      "15:  1.4880e+03 -1.8578e+03  3e+03  3e-16  8e-15\n",
      "16:  1.8584e+02 -2.9246e+02  5e+02  1e-16  0e+00\n",
      "17:  1.4013e+01 -5.3477e+01  7e+01  1e-16  4e-16\n",
      "18: -5.2876e+00 -1.3984e+01  9e+00  6e-16  3e-16\n",
      "19: -6.5544e+00 -7.3233e+00  8e-01  1e-16  1e-16\n",
      "20: -6.6017e+00 -6.6889e+00  9e-02  8e-17  1e-16\n",
      "21: -6.6022e+00 -6.6033e+00  1e-03  1e-16  8e-17\n",
      "22: -6.6022e+00 -6.6022e+00  1e-05  1e-16  1e-16\n",
      "23: -6.6022e+00 -6.6022e+00  1e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  7.3391e+01 -1.0291e+06  2e+02  1e+00  1e+00\n",
      " 2:  5.7509e+01 -1.6702e+06  3e+02  1e+00  1e+00\n",
      " 3:  1.1429e+01 -1.7580e+08  4e+04  1e+00  1e+00\n",
      " 4:  5.8023e+01 -2.6300e+10  6e+06  1e+00  1e+00\n",
      " 5:  1.3610e+08 -5.8899e+17  6e+17  4e-13  4e-04\n",
      " 6:  1.3610e+08 -5.8899e+15  6e+15  4e-15  1e-04\n",
      " 7:  1.3610e+08 -5.8899e+13  6e+13  7e-17  2e-06\n",
      " 8:  1.3609e+08 -5.8948e+11  6e+11  3e-16  5e-08\n",
      " 9:  1.3504e+08 -6.3779e+09  7e+09  2e-16  6e-10\n",
      "10:  7.9709e+07 -3.3958e+08  4e+08  2e-16  4e-11\n",
      "11:  1.2456e+07 -1.6090e+07  3e+07  2e-16  2e-12\n",
      "12:  1.7987e+06 -2.0288e+06  4e+06  1e-16  2e-13\n",
      "13:  2.5778e+05 -2.8883e+05  5e+05  8e-17  2e-13\n",
      "14:  3.6695e+04 -4.1422e+04  8e+04  2e-16  5e-14\n",
      "15:  5.1512e+03 -6.0331e+03  1e+04  3e-16  1e-14\n",
      "16:  6.9489e+02 -9.0621e+02  2e+03  1e-16  4e-15\n",
      "17:  8.1187e+01 -1.4719e+02  2e+02  1e-16  2e-15\n",
      "18:  2.5414e+00 -2.9190e+01  3e+01  1e-16  2e-15\n",
      "19: -5.6942e+00 -9.3390e+00  4e+00  2e-16  2e-16\n",
      "20: -6.5624e+00 -7.1918e+00  6e-01  9e-17  1e-16\n",
      "21: -6.6684e+00 -6.7409e+00  7e-02  1e-16  8e-17\n",
      "22: -6.6711e+00 -6.6727e+00  2e-03  2e-16  8e-17\n",
      "23: -6.6711e+00 -6.6712e+00  2e-05  6e-17  8e-17\n",
      "24: -6.6711e+00 -6.6711e+00  2e-07  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.0135e+02 -1.6442e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0399e+02 -2.5197e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.3581e+01 -1.2554e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.1818e+01 -8.3542e+07  2e+04  1e+00  1e+00\n",
      " 5:  5.0125e+01 -5.2045e+09  1e+06  1e+00  1e+00\n",
      " 6:  5.2952e+08 -1.2581e+17  1e+17  2e-13  6e-05\n",
      " 7:  5.2952e+08 -1.2581e+15  1e+15  2e-15  4e-05\n",
      " 8:  5.2951e+08 -1.2586e+13  1e+13  8e-17  5e-07\n",
      " 9:  5.2929e+08 -1.3081e+11  1e+11  1e-16  1e-08\n",
      "10:  5.0869e+08 -6.0604e+09  7e+09  2e-16  7e-09\n",
      "11:  5.8022e+07 -1.5164e+09  2e+09  3e-16  1e-09\n",
      "12:  1.7357e+07 -3.9041e+07  6e+07  1e-16  4e-11\n",
      "13:  2.6453e+06 -2.9951e+06  6e+06  3e-16  7e-13\n",
      "14:  3.7887e+05 -4.2274e+05  8e+05  2e-16  2e-13\n",
      "15:  5.3955e+04 -6.0745e+04  1e+05  1e-16  5e-14\n",
      "16:  7.5882e+03 -8.8361e+03  2e+04  3e-16  2e-14\n",
      "17:  1.0302e+03 -1.3217e+03  2e+03  2e-16  6e-15\n",
      "18:  1.2376e+02 -2.1217e+02  3e+02  2e-16  2e-15\n",
      "19:  6.3730e+00 -4.0709e+01  5e+01  2e-16  7e-16\n",
      "20: -6.0439e+00 -1.1832e+01  6e+00  1e-16  3e-16\n",
      "21: -6.7051e+00 -7.0095e+00  3e-01  2e-16  2e-16\n",
      "22: -6.7125e+00 -6.7228e+00  1e-02  2e-16  2e-17\n",
      "23: -6.7126e+00 -6.7127e+00  1e-04  3e-16  1e-16\n",
      "24: -6.7126e+00 -6.7126e+00  1e-06  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.3414e+02 -2.3965e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.6383e+02 -3.5136e+06  7e+02  1e+00  1e+00\n",
      " 3: -2.7370e+00 -3.1618e+07  6e+03  1e+00  1e+00\n",
      " 4:  2.3962e+01 -2.2132e+08  4e+04  1e+00  1e+00\n",
      " 5:  6.6911e+01 -1.3860e+10  3e+06  1e+00  1e+00\n",
      " 6:  6.4718e+08 -3.3412e+17  3e+17  3e-13  2e-04\n",
      " 7:  6.4718e+08 -3.3412e+15  3e+15  3e-15  5e-05\n",
      " 8:  6.4718e+08 -3.3421e+13  3e+13  3e-16  7e-07\n",
      " 9:  6.4692e+08 -3.4311e+11  3e+11  2e-16  1e-08\n",
      "10:  6.2245e+08 -1.1998e+10  1e+10  2e-16  4e-10\n",
      "11:  1.3597e+08 -1.6377e+09  2e+09  2e-16  3e-09\n",
      "12:  3.3367e+07 -6.8338e+07  1e+08  2e-16  1e-10\n",
      "13:  4.9180e+06 -5.3170e+06  1e+07  3e-16  5e-13\n",
      "14:  7.0559e+05 -7.9147e+05  1e+06  1e-16  2e-13\n",
      "15:  1.0068e+05 -1.1271e+05  2e+05  3e-16  6e-14\n",
      "16:  1.4235e+04 -1.6328e+04  3e+04  2e-16  2e-14\n",
      "17:  1.9634e+03 -2.4138e+03  4e+03  2e-16  1e-14\n",
      "18:  2.5013e+02 -3.7598e+02  6e+02  3e-16  6e-15\n",
      "19:  2.1753e+01 -6.6900e+01  9e+01  2e-16  9e-16\n",
      "20: -4.7401e+00 -1.6433e+01  1e+01  1e-16  3e-16\n",
      "21: -6.6849e+00 -7.6429e+00  1e+00  2e-16  1e-16\n",
      "22: -6.7316e+00 -6.7758e+00  4e-02  2e-16  1e-16\n",
      "23: -6.7337e+00 -6.7350e+00  1e-03  4e-16  1e-16\n",
      "24: -6.7338e+00 -6.7338e+00  1e-05  2e-16  9e-17\n",
      "25: -6.7338e+00 -6.7338e+00  1e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.5165e+02 -3.0626e+06  5e+02  1e+00  1e+00\n",
      " 2:  2.2763e+02 -4.4952e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.1488e+02 -1.1495e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.3426e+02 -3.4448e+07  7e+03  1e+00  1e+00\n",
      " 5:  1.8715e+02 -1.0957e+09  2e+05  1e+00  1e+00\n",
      " 6:  1.5776e+02 -9.0222e+12  5e+09  1e+00  1e+00\n",
      " 7:  2.9569e+09 -3.1136e+19  3e+19  2e-13  9e-03\n",
      " 8:  2.9569e+09 -3.1136e+17  3e+17  2e-15  7e-03\n",
      " 9:  2.9569e+09 -3.1136e+15  3e+15  2e-16  7e-05\n",
      "10:  2.9569e+09 -3.1151e+13  3e+13  1e-16  1e-06\n",
      "11:  2.9553e+09 -3.2563e+11  3e+11  2e-16  1e-08\n",
      "12:  2.8183e+09 -1.7154e+10  2e+10  2e-16  7e-10\n",
      "13:  8.9489e+08 -1.5469e+10  2e+10  1e-16  1e-09\n",
      "14:  3.6328e+08 -1.1730e+09  2e+09  3e-16  1e-10\n",
      "15:  5.9270e+07 -7.2734e+07  1e+08  3e-16  1e-12\n",
      "16:  8.5565e+06 -9.6431e+06  2e+07  2e-16  6e-13\n",
      "17:  1.2277e+06 -1.3676e+06  3e+06  3e-16  2e-13\n",
      "18:  1.7543e+05 -1.9568e+05  4e+05  2e-16  1e-13\n",
      "19:  2.4894e+04 -2.8246e+04  5e+04  2e-16  4e-14\n",
      "20:  3.4695e+03 -4.1421e+03  8e+03  3e-16  6e-15\n",
      "21:  4.5794e+02 -6.3162e+02  1e+03  1e-16  4e-15\n",
      "22:  4.8601e+01 -1.0648e+02  2e+02  3e-16  2e-15\n",
      "23: -1.8318e+00 -2.3040e+01  2e+01  1e-16  6e-16\n",
      "24: -6.3858e+00 -8.5869e+00  2e+00  2e-16  1e-16\n",
      "25: -6.6338e+00 -7.2124e+00  6e-01  2e-16  1e-16\n",
      "26: -6.7404e+00 -6.8488e+00  1e-01  3e-16  9e-17\n",
      "27: -6.7454e+00 -6.7501e+00  5e-03  1e-16  4e-17\n",
      "28: -6.7454e+00 -6.7455e+00  6e-05  2e-16  1e-16\n",
      "29: -6.7454e+00 -6.7454e+00  6e-07  1e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.5700e+02 -3.6551e+06  6e+02  1e+00  1e+00\n",
      " 2:  2.5847e+02 -5.2616e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.5592e+02 -9.1463e+06  2e+03  1e+00  1e+00\n",
      " 4:  9.7148e+01 -4.3414e+07  9e+03  1e+00  1e+00\n",
      " 5:  1.5344e+02 -3.5631e+08  7e+04  1e+00  1e+00\n",
      " 6:  1.8499e+02 -5.7966e+10  1e+07  1e+00  1e+00\n",
      " 7:  9.3130e+08 -1.3443e+18  1e+18  5e-13  4e-04\n",
      " 8:  9.3130e+08 -1.3443e+16  1e+16  5e-15  2e-04\n",
      " 9:  9.3130e+08 -1.3445e+14  1e+14  2e-16  3e-06\n",
      "10:  9.3123e+08 -1.3632e+12  1e+12  3e-16  4e-08\n",
      "11:  9.2469e+08 -3.2201e+10  3e+10  2e-16  9e-10\n",
      "12:  5.3148e+08 -4.8596e+09  5e+09  2e-16  3e-09\n",
      "13:  1.2488e+08 -2.6951e+08  4e+08  2e-16  1e-10\n",
      "14:  1.8426e+07 -2.0288e+07  4e+07  2e-16  6e-13\n",
      "15:  2.6527e+06 -2.9935e+06  6e+06  1e-16  3e-13\n",
      "16:  3.7973e+05 -4.2310e+05  8e+05  2e-16  1e-13\n",
      "17:  5.4068e+04 -6.0843e+04  1e+05  2e-16  4e-14\n",
      "18:  7.6036e+03 -8.8523e+03  2e+04  1e-16  2e-14\n",
      "19:  1.0323e+03 -1.3243e+03  2e+03  3e-16  6e-15\n",
      "20:  1.2402e+02 -2.1258e+02  3e+02  1e-16  2e-15\n",
      "21:  6.3873e+00 -4.0787e+01  5e+01  2e-16  7e-16\n",
      "22: -6.0576e+00 -1.1856e+01  6e+00  2e-16  3e-16\n",
      "23: -6.7281e+00 -7.0666e+00  3e-01  2e-16  2e-16\n",
      "24: -6.7523e+00 -6.7772e+00  2e-02  1e-16  1e-16\n",
      "25: -6.7534e+00 -6.7541e+00  7e-04  1e-16  1e-16\n",
      "26: -6.7534e+00 -6.7534e+00  7e-06  1e-16  6e-17\n",
      "27: -6.7534e+00 -6.7534e+00  7e-08  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.5111e+02 -4.1170e+06  6e+02  1e+00  1e+00\n",
      " 2:  2.8519e+02 -6.1978e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.8544e+02 -1.0347e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.3926e+01 -4.9317e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.3752e+02 -3.0007e+08  6e+04  1e+00  1e+00\n",
      " 6:  2.0078e+02 -1.6210e+10  3e+06  1e+00  1e+00\n",
      " 7:  9.6344e+08 -3.9273e+17  4e+17  3e-13  9e-05\n",
      " 8:  9.6344e+08 -3.9273e+15  4e+15  3e-15  6e-05\n",
      " 9:  9.6343e+08 -3.9292e+13  4e+13  2e-16  9e-07\n",
      "10:  9.6282e+08 -4.1161e+11  4e+11  2e-16  8e-09\n",
      "11:  9.0894e+08 -2.1946e+10  2e+10  2e-16  6e-10\n",
      "12:  2.4843e+08 -8.5082e+09  9e+09  1e-16  2e-09\n",
      "13:  7.7622e+07 -3.4345e+08  4e+08  1e-16  8e-11\n",
      "14:  1.2121e+07 -1.5092e+07  3e+07  2e-16  2e-12\n",
      "15:  1.7371e+06 -1.9155e+06  4e+06  2e-16  2e-13\n",
      "16:  2.4841e+05 -2.7686e+05  5e+05  1e-16  9e-14\n",
      "17:  3.5305e+04 -3.9863e+04  8e+04  2e-16  3e-14\n",
      "18:  4.9431e+03 -5.8247e+03  1e+04  2e-16  2e-14\n",
      "19:  6.6211e+02 -8.7965e+02  2e+03  2e-16  8e-15\n",
      "20:  7.5226e+01 -1.4465e+02  2e+02  1e-16  2e-15\n",
      "21:  1.0253e+00 -2.9456e+01  3e+01  2e-16  1e-15\n",
      "22: -6.2473e+00 -9.7208e+00  3e+00  3e-16  2e-16\n",
      "23: -6.5905e+00 -7.4190e+00  8e-01  2e-16  8e-17\n",
      "24: -6.7447e+00 -7.4063e+00  7e-01  3e-16  1e-16\n",
      "25: -6.7619e+00 -6.8190e+00  6e-02  2e-16  5e-17\n",
      "26: -6.7630e+00 -6.7655e+00  3e-03  3e-16  1e-16\n",
      "27: -6.7630e+00 -6.7630e+00  3e-05  2e-16  7e-17\n",
      "28: -6.7630e+00 -6.7630e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.6446e+02 -4.8639e+06  7e+02  1e+00  1e+00\n",
      " 2:  2.3795e+02 -6.1373e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.9107e+02 -8.6413e+06  2e+03  1e+00  1e+00\n",
      " 4:  4.5903e+02 -1.5564e+07  3e+03  1e+00  1e+00\n",
      " 5:  9.5212e+01 -6.0811e+07  1e+04  1e+00  1e+00\n",
      " 6:  1.7337e+02 -3.3109e+08  7e+04  1e+00  1e+00\n",
      " 7:  2.4153e+02 -1.4194e+10  3e+06  1e+00  1e+00\n",
      " 8:  2.1718e+02 -3.1101e+14  3e+11  1e+00  1e+00\n",
      " 9:  1.2134e+09 -2.5530e+20  3e+20  1e-13  3e-01\n",
      "10:  1.2134e+09 -2.5530e+18  3e+18  1e-15  3e-02\n",
      "11:  1.2134e+09 -2.5530e+16  3e+16  2e-16  3e-04\n",
      "12:  1.2134e+09 -2.5532e+14  3e+14  2e-16  3e-06\n",
      "13:  1.2132e+09 -2.5768e+12  3e+12  1e-16  4e-08\n",
      "14:  1.1998e+09 -4.9090e+10  5e+10  2e-16  7e-09\n",
      "15:  7.9094e+08 -1.0595e+10  1e+10  2e-16  4e-08\n",
      "16:  1.9156e+08 -1.0706e+09  1e+09  3e-16  4e-12\n",
      "17:  3.3930e+07 -5.2515e+07  9e+07  2e-16  1e-12\n",
      "18:  4.8771e+06 -5.2836e+06  1e+07  2e-16  4e-13\n",
      "19:  6.9895e+05 -7.7976e+05  1e+06  2e-16  2e-13\n",
      "20:  9.9696e+04 -1.1149e+05  2e+05  3e-16  6e-14\n",
      "21:  1.4093e+04 -1.6160e+04  3e+04  2e-16  2e-14\n",
      "22:  1.9433e+03 -2.3899e+03  4e+03  1e-16  7e-15\n",
      "23:  2.4740e+02 -3.7242e+02  6e+02  2e-16  3e-15\n",
      "24:  2.1427e+01 -6.6329e+01  9e+01  2e-16  1e-15\n",
      "25: -4.7618e+00 -1.6328e+01  1e+01  2e-16  3e-16\n",
      "26: -6.6843e+00 -7.6248e+00  9e-01  1e-16  2e-16\n",
      "27: -6.7565e+00 -6.8641e+00  1e-01  2e-16  5e-17\n",
      "28: -6.7646e+00 -6.7743e+00  1e-02  2e-16  9e-17\n",
      "29: -6.7651e+00 -6.7655e+00  4e-04  2e-16  1e-16\n",
      "30: -6.7651e+00 -6.7651e+00  7e-06  2e-16  8e-17\n",
      "31: -6.7651e+00 -6.7651e+00  7e-08  2e-16  5e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.6501e+02 -5.4251e+06  8e+02  1e+00  1e+00\n",
      " 2:  2.2503e+02 -6.5652e+06  1e+03  1e+00  1e+00\n",
      " 3:  4.2730e+02 -9.7860e+06  2e+03  1e+00  1e+00\n",
      " 4:  5.9588e+02 -1.6348e+07  3e+03  1e+00  1e+00\n",
      " 5:  8.1516e+01 -5.9102e+07  1e+04  1e+00  1e+00\n",
      " 6:  2.0031e+02 -2.8019e+08  6e+04  1e+00  1e+00\n",
      " 7:  3.1205e+02 -8.5235e+09  2e+06  1e+00  1e+00\n",
      " 8:  1.7804e+02 -3.3946e+13  1e+10  1e+00  1e+00\n",
      " 9:  1.6771e+09 -2.5497e+20  3e+20  3e-13  3e-02\n",
      "10:  1.6771e+09 -2.5497e+18  3e+18  3e-15  2e-02\n",
      "11:  1.6771e+09 -2.5497e+16  3e+16  2e-16  3e-04\n",
      "12:  1.6771e+09 -2.5500e+14  3e+14  1e-16  5e-06\n",
      "13:  1.6770e+09 -2.5770e+12  3e+12  2e-16  5e-08\n",
      "14:  1.6604e+09 -5.2569e+10  5e+10  2e-16  1e-09\n",
      "15:  1.1217e+09 -1.1619e+10  1e+10  2e-16  6e-08\n",
      "16:  2.5300e+08 -1.0828e+09  1e+09  3e-16  2e-12\n",
      "17:  4.3396e+07 -6.2063e+07  1e+08  1e-16  2e-12\n",
      "18:  6.2385e+06 -6.8277e+06  1e+07  2e-16  5e-13\n",
      "19:  8.9423e+05 -9.9615e+05  2e+06  2e-16  2e-13\n",
      "20:  1.2764e+05 -1.4248e+05  3e+05  2e-16  5e-14\n",
      "21:  1.8076e+04 -2.0616e+04  4e+04  2e-16  4e-14\n",
      "22:  2.5058e+03 -3.0365e+03  6e+03  2e-16  1e-14\n",
      "23:  3.2492e+02 -4.6816e+02  8e+02  3e-16  4e-15\n",
      "24:  3.1439e+01 -8.1161e+01  1e+02  1e-16  9e-16\n",
      "25: -3.6357e+00 -1.8767e+01  2e+01  2e-16  5e-16\n",
      "26: -6.5044e+00 -7.9364e+00  1e+00  2e-16  2e-16\n",
      "27: -6.6962e+00 -7.1405e+00  4e-01  3e-16  9e-17\n",
      "28: -6.7604e+00 -6.8470e+00  9e-02  2e-16  6e-17\n",
      "29: -6.7658e+00 -6.7713e+00  6e-03  1e-16  6e-17\n",
      "30: -6.7662e+00 -6.7665e+00  3e-04  1e-16  4e-17\n",
      "31: -6.7662e+00 -6.7662e+00  5e-06  1e-16  5e-17\n",
      "Optimal solution found.\n",
      "processing  HEQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  7.8666e+00 -1.2394e+05  2e+01  1e+00  1e+00\n",
      " 2: -1.2700e-01 -5.6367e+06  1e+03  1e+00  1e+00\n",
      " 3:  6.7873e-01 -3.3186e+09  7e+05  1e+00  1e+00\n",
      " 4:  5.8614e+07 -6.5238e+16  7e+16  5e-13  3e-04\n",
      " 5:  5.8614e+07 -6.5238e+14  7e+14  5e-15  2e-04\n",
      " 6:  5.8614e+07 -6.5239e+12  7e+12  8e-17  1e-06\n",
      " 7:  5.8607e+07 -6.5413e+10  7e+10  9e-17  4e-09\n",
      " 8:  5.7910e+07 -8.2600e+08  9e+08  2e-16  8e-11\n",
      " 9:  2.8300e+07 -8.4484e+07  1e+08  2e-16  8e-12\n",
      "10:  4.2149e+06 -6.8584e+06  1e+07  1e-16  1e-12\n",
      "11:  6.2013e+05 -6.8091e+05  1e+06  6e-17  1e-13\n",
      "12:  8.9057e+04 -1.0064e+05  2e+05  3e-16  2e-13\n",
      "13:  1.2688e+04 -1.4331e+04  3e+04  4e-16  2e-14\n",
      "14:  1.7828e+03 -2.0872e+03  4e+03  8e-17  4e-15\n",
      "15:  2.4100e+02 -3.1315e+02  6e+02  2e-16  2e-14\n",
      "16:  2.8399e+01 -5.0700e+01  8e+01  2e-16  2e-15\n",
      "17:  1.0597e+00 -9.9674e+00  1e+01  2e-16  3e-16\n",
      "18: -1.7859e+00 -3.0954e+00  1e+00  1e-16  3e-16\n",
      "19: -1.9508e+00 -2.0158e+00  6e-02  7e-17  6e-17\n",
      "20: -1.9595e+00 -1.9631e+00  4e-03  8e-17  4e-17\n",
      "21: -1.9606e+00 -1.9611e+00  5e-04  1e-16  4e-17\n",
      "22: -1.9607e+00 -1.9608e+00  5e-05  2e-16  5e-17\n",
      "23: -1.9607e+00 -1.9607e+00  2e-06  3e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.1143e+01 -2.0169e+05  4e+01  1e+00  1e+00\n",
      " 2:  3.8480e-01 -2.4955e+06  5e+02  1e+00  1e+00\n",
      " 3:  7.4501e-01 -1.1663e+08  2e+04  1e+00  1e+00\n",
      " 4:  1.2924e+01 -1.3486e+11  3e+07  1e+00  1e+00\n",
      " 5:  4.4578e+05 -2.1631e+18  2e+18  4e-13  9e-03\n",
      " 6:  4.4578e+05 -2.1631e+16  2e+16  4e-15  2e-03\n",
      " 7:  4.4578e+05 -2.1631e+14  2e+14  2e-16  5e-05\n",
      " 8:  4.4578e+05 -2.1631e+12  2e+12  2e-16  8e-07\n",
      " 9:  4.4574e+05 -2.1633e+10  2e+10  4e-17  8e-09\n",
      "10:  4.4171e+05 -2.1820e+08  2e+08  3e-16  8e-11\n",
      "11:  2.3959e+05 -3.0914e+06  3e+06  1e-16  9e-13\n",
      "12:  3.7601e+04 -7.2982e+04  1e+05  1e-16  1e-13\n",
      "13:  5.3731e+03 -5.8954e+03  1e+04  1e-16  3e-14\n",
      "14:  7.5506e+02 -8.8489e+02  2e+03  9e-17  2e-14\n",
      "15:  1.0184e+02 -1.3250e+02  2e+02  2e-16  4e-15\n",
      "16:  1.1703e+01 -2.1606e+01  3e+01  6e-17  1e-15\n",
      "17: -5.9508e-02 -4.5354e+00  4e+00  1e-16  4e-16\n",
      "18: -1.6394e+00 -2.3703e+00  7e-01  3e-16  6e-17\n",
      "19: -1.9153e+00 -2.0223e+00  1e-01  2e-16  6e-17\n",
      "20: -1.9546e+00 -1.9689e+00  1e-02  2e-16  6e-17\n",
      "21: -1.9600e+00 -1.9620e+00  2e-03  3e-16  4e-17\n",
      "22: -1.9607e+00 -1.9609e+00  3e-04  3e-16  6e-17\n",
      "23: -1.9607e+00 -1.9608e+00  3e-05  1e-16  7e-17\n",
      "24: -1.9608e+00 -1.9608e+00  3e-06  2e-16  1e-16\n",
      "25: -1.9608e+00 -1.9608e+00  5e-08  8e-17  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.7696e+01 -3.2378e+05  6e+01  1e+00  1e+00\n",
      " 2:  5.1825e+00 -7.4690e+06  2e+03  1e+00  1e+00\n",
      " 3:  5.1117e+00 -1.4639e+09  3e+05  1e+00  1e+00\n",
      " 4:  3.9789e+07 -3.3622e+16  3e+16  6e-13  6e-05\n",
      " 5:  3.9789e+07 -3.3622e+14  3e+14  6e-15  7e-05\n",
      " 6:  3.9789e+07 -3.3624e+12  3e+12  2e-16  1e-06\n",
      " 7:  3.9773e+07 -3.3807e+10  3e+10  1e-16  2e-08\n",
      " 8:  3.8206e+07 -5.1280e+08  6e+08  2e-16  3e-10\n",
      " 9:  1.1557e+07 -3.1487e+07  4e+07  3e-16  2e-11\n",
      "10:  1.7902e+06 -2.0866e+06  4e+06  2e-16  5e-13\n",
      "11:  2.5753e+05 -2.8962e+05  5e+05  1e-16  1e-13\n",
      "12:  3.6845e+04 -4.1195e+04  8e+04  2e-16  1e-13\n",
      "13:  5.2334e+03 -5.9343e+03  1e+04  2e-16  2e-14\n",
      "14:  7.3056e+02 -8.6868e+02  2e+03  3e-16  7e-15\n",
      "15:  9.6667e+01 -1.3217e+02  2e+02  3e-16  3e-15\n",
      "16:  1.0150e+01 -2.2334e+01  3e+01  2e-16  1e-15\n",
      "17: -6.9736e-01 -5.0638e+00  4e+00  1e-16  4e-16\n",
      "18: -1.8234e+00 -2.2633e+00  4e-01  2e-16  2e-16\n",
      "19: -1.9414e+00 -1.9857e+00  4e-02  2e-16  1e-16\n",
      "20: -1.9583e+00 -1.9646e+00  6e-03  3e-16  8e-17\n",
      "21: -1.9605e+00 -1.9614e+00  9e-04  2e-16  8e-17\n",
      "22: -1.9607e+00 -1.9609e+00  1e-04  1e-16  4e-17\n",
      "23: -1.9608e+00 -1.9608e+00  7e-06  1e-16  7e-17\n",
      "24: -1.9608e+00 -1.9608e+00  3e-07  1e-16  1e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.3338e+01 -4.5316e+05  9e+01  1e+00  1e+00\n",
      " 2: -4.6607e-02 -2.8420e+06  6e+02  1e+00  1e+00\n",
      " 3:  3.4211e+00 -1.8603e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.0760e+01 -9.7616e+08  2e+05  1e+00  1e+00\n",
      " 5:  4.1517e+02 -9.3048e+13  4e+11  1e+00  1e+00\n",
      " 6:  3.4990e+07 -5.4459e+18  5e+18  1e-14  1e-02\n",
      " 7:  3.4990e+07 -5.4459e+16  5e+16  2e-16  6e-03\n",
      " 8:  3.4990e+07 -5.4460e+14  5e+14  1e-16  6e-05\n",
      " 9:  3.4990e+07 -5.4462e+12  5e+12  2e-16  6e-07\n",
      "10:  3.4978e+07 -5.4723e+10  5e+10  1e-16  9e-09\n",
      "11:  3.3803e+07 -7.9890e+08  8e+08  4e-17  2e-10\n",
      "12:  1.0589e+07 -5.4195e+07  6e+07  2e-16  6e-11\n",
      "13:  1.6507e+06 -2.2343e+06  4e+06  1e-16  9e-13\n",
      "14:  2.3711e+05 -2.6283e+05  5e+05  1e-16  2e-13\n",
      "15:  3.3977e+04 -3.7892e+04  7e+04  2e-16  1e-13\n",
      "16:  4.8432e+03 -5.4325e+03  1e+04  6e-17  6e-14\n",
      "17:  6.8266e+02 -7.8892e+02  1e+03  2e-16  4e-15\n",
      "18:  9.3075e+01 -1.1752e+02  2e+02  1e-16  2e-15\n",
      "19:  1.1133e+01 -1.8806e+01  3e+01  2e-16  9e-16\n",
      "20:  1.0151e+00 -5.3426e+00  6e+00  2e-16  4e-16\n",
      "21: -1.4837e+00 -3.3524e+00  2e+00  2e-16  4e-16\n",
      "22: -1.8786e+00 -2.0811e+00  2e-01  2e-16  2e-16\n",
      "23: -1.9495e+00 -1.9756e+00  3e-02  2e-16  8e-17\n",
      "24: -1.9593e+00 -1.9630e+00  4e-03  2e-16  1e-16\n",
      "25: -1.9606e+00 -1.9611e+00  5e-04  2e-16  1e-16\n",
      "26: -1.9607e+00 -1.9608e+00  6e-05  2e-16  2e-17\n",
      "27: -1.9608e+00 -1.9608e+00  7e-06  1e-16  5e-17\n",
      "28: -1.9608e+00 -1.9608e+00  7e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.0954e+01 -6.0915e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.6856e+00 -3.1142e+06  7e+02  1e+00  1e+00\n",
      " 3:  8.9449e+00 -2.1294e+07  4e+03  1e+00  1e+00\n",
      " 4:  9.9955e+00 -9.2231e+08  2e+05  1e+00  1e+00\n",
      " 5:  7.3627e+00 -3.5238e+12  1e+09  1e+00  1e+00\n",
      " 6:  2.1249e+08 -2.7411e+19  3e+19  3e-13  5e-02\n",
      " 7:  2.1249e+08 -2.7411e+17  3e+17  3e-15  4e-02\n",
      " 8:  2.1249e+08 -2.7411e+15  3e+15  2e-16  6e-04\n",
      " 9:  2.1249e+08 -2.7412e+13  3e+13  3e-16  5e-06\n",
      "10:  2.1248e+08 -2.7511e+11  3e+11  1e-16  6e-08\n",
      "11:  2.1109e+08 -3.7393e+09  4e+09  1e-16  9e-10\n",
      "12:  1.3419e+08 -6.3166e+08  8e+08  2e-16  2e-08\n",
      "13:  2.0973e+07 -7.4936e+07  1e+08  2e-16  6e-12\n",
      "14:  3.6960e+06 -4.8366e+06  9e+06  2e-16  7e-13\n",
      "15:  5.3238e+05 -5.9222e+05  1e+06  2e-16  5e-13\n",
      "16:  7.6330e+04 -8.5081e+04  2e+05  2e-16  1e-13\n",
      "17:  1.0895e+04 -1.2179e+04  2e+04  2e-16  4e-14\n",
      "18:  1.5417e+03 -1.7627e+03  3e+03  2e-16  2e-14\n",
      "19:  2.1301e+02 -2.6016e+02  5e+02  2e-16  8e-15\n",
      "20:  2.7137e+01 -4.0432e+01  7e+01  2e-16  3e-15\n",
      "21:  2.1179e+00 -7.3038e+00  9e+00  2e-16  1e-15\n",
      "22: -9.6162e-01 -3.2699e+00  2e+00  2e-16  2e-16\n",
      "23: -1.8126e+00 -2.2068e+00  4e-01  1e-16  3e-16\n",
      "24: -1.9400e+00 -1.9871e+00  5e-02  1e-16  1e-16\n",
      "25: -1.9580e+00 -1.9648e+00  7e-03  2e-16  9e-17\n",
      "26: -1.9604e+00 -1.9614e+00  9e-04  2e-16  6e-17\n",
      "27: -1.9607e+00 -1.9608e+00  1e-04  1e-16  7e-17\n",
      "28: -1.9608e+00 -1.9608e+00  2e-05  1e-16  8e-17\n",
      "29: -1.9608e+00 -1.9608e+00  2e-06  1e-16  4e-17\n",
      "30: -1.9608e+00 -1.9608e+00  1e-07  3e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.5410e+01 -7.6013e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.6265e+01 -2.8199e+06  5e+02  1e+00  1e+00\n",
      " 3:  3.0966e+01 -2.0855e+07  4e+03  1e+00  1e+00\n",
      " 4:  4.0839e-02 -1.0818e+10  2e+06  1e+00  1e+00\n",
      " 5:  6.8274e+08 -2.2059e+17  2e+17  5e-13  6e-04\n",
      " 6:  6.8274e+08 -2.2059e+15  2e+15  5e-15  1e-04\n",
      " 7:  6.8274e+08 -2.2063e+13  2e+13  2e-16  2e-06\n",
      " 8:  6.8266e+08 -2.2435e+11  2e+11  2e-16  3e-08\n",
      " 9:  6.7441e+08 -5.9537e+09  7e+09  2e-16  8e-10\n",
      "10:  2.9560e+08 -1.6069e+09  2e+09  1e-16  1e-09\n",
      "11:  8.2965e+07 -1.4126e+08  2e+08  1e-16  8e-11\n",
      "12:  1.2481e+07 -1.4781e+07  3e+07  2e-16  1e-12\n",
      "13:  1.8050e+06 -2.0350e+06  4e+06  2e-16  5e-13\n",
      "14:  2.5906e+05 -2.8832e+05  5e+05  2e-16  3e-13\n",
      "15:  3.7037e+04 -4.1244e+04  8e+04  1e-16  7e-14\n",
      "16:  5.2632e+03 -5.9462e+03  1e+04  2e-16  3e-14\n",
      "17:  7.3636e+02 -8.6923e+02  2e+03  1e-16  1e-14\n",
      "18:  9.8198e+01 -1.3157e+02  2e+02  2e-16  6e-15\n",
      "19:  1.0718e+01 -2.1914e+01  3e+01  9e-17  2e-15\n",
      "20: -4.2765e-01 -4.8117e+00  4e+00  2e-16  8e-16\n",
      "21: -1.7075e+00 -2.2587e+00  6e-01  3e-16  2e-16\n",
      "22: -1.9250e+00 -2.0086e+00  8e-02  2e-16  1e-16\n",
      "23: -1.9560e+00 -1.9675e+00  1e-02  2e-16  6e-17\n",
      "24: -1.9602e+00 -1.9618e+00  2e-03  2e-16  6e-17\n",
      "25: -1.9607e+00 -1.9609e+00  2e-04  2e-16  8e-17\n",
      "26: -1.9608e+00 -1.9608e+00  3e-05  3e-16  5e-17\n",
      "27: -1.9608e+00 -1.9608e+00  2e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  3.7901e+01 -8.7801e+05  2e+02  1e+00  1e+00\n",
      " 2:  4.4707e+01 -1.9240e+06  4e+02  1e+00  1e+00\n",
      " 3:  5.8246e+00 -3.5910e+07  7e+03  1e+00  1e+00\n",
      " 4:  8.2550e+00 -5.5182e+08  1e+05  1e+00  1e+00\n",
      " 5:  1.5210e+01 -1.6449e+11  4e+07  1e+00  1e+00\n",
      " 6:  4.3555e+08 -3.6048e+18  4e+18  5e-13  6e-03\n",
      " 7:  4.3555e+08 -3.6048e+16  4e+16  4e-15  3e-03\n",
      " 8:  4.3555e+08 -3.6048e+14  4e+14  2e-16  4e-05\n",
      " 9:  4.3555e+08 -3.6069e+12  4e+12  1e-16  4e-07\n",
      "10:  4.3471e+08 -3.8161e+10  4e+10  2e-16  4e-09\n",
      "11:  3.6874e+08 -2.1833e+09  3e+09  2e-16  7e-10\n",
      "12:  7.5933e+07 -2.3825e+08  3e+08  1e-16  4e-10\n",
      "13:  1.3474e+07 -1.7365e+07  3e+07  2e-16  1e-11\n",
      "14:  1.9456e+06 -2.1660e+06  4e+06  2e-16  7e-13\n",
      "15:  2.7920e+05 -3.1080e+05  6e+05  1e-16  2e-13\n",
      "16:  3.9919e+04 -4.4416e+04  8e+04  1e-16  1e-13\n",
      "17:  5.6748e+03 -6.4032e+03  1e+04  2e-16  3e-14\n",
      "18:  7.9495e+02 -9.3519e+02  2e+03  2e-16  1e-14\n",
      "19:  1.0657e+02 -1.4111e+02  2e+02  2e-16  7e-15\n",
      "20:  1.2055e+01 -2.3206e+01  4e+01  2e-16  2e-15\n",
      "21: -3.2830e-03 -4.8135e+00  5e+00  1e-16  7e-16\n",
      "22: -1.2023e+00 -2.9804e+00  2e+00  7e-17  3e-16\n",
      "23: -1.8372e+00 -2.3039e+00  5e-01  2e-16  9e-17\n",
      "24: -1.9407e+00 -1.9912e+00  5e-02  2e-16  5e-17\n",
      "25: -1.9581e+00 -1.9647e+00  7e-03  2e-16  4e-17\n",
      "26: -1.9605e+00 -1.9614e+00  9e-04  2e-16  9e-17\n",
      "27: -1.9607e+00 -1.9609e+00  1e-04  2e-16  4e-17\n",
      "28: -1.9608e+00 -1.9608e+00  1e-05  1e-16  1e-16\n",
      "29: -1.9608e+00 -1.9608e+00  8e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  4.2926e+01 -1.0560e+06  2e+02  1e+00  1e+00\n",
      " 2:  6.0421e+01 -2.0713e+06  4e+02  1e+00  1e+00\n",
      " 3:  4.6114e+00 -2.5934e+07  5e+03  1e+00  1e+00\n",
      " 4:  2.4253e+00 -2.1650e+08  4e+04  1e+00  1e+00\n",
      " 5:  4.1793e+00 -1.4306e+10  3e+06  1e+00  1e+00\n",
      " 6:  7.8201e+08 -3.4504e+17  3e+17  5e-13  4e-04\n",
      " 7:  7.8201e+08 -3.4504e+15  3e+15  5e-15  2e-04\n",
      " 8:  7.8201e+08 -3.4508e+13  3e+13  1e-16  3e-06\n",
      " 9:  7.8186e+08 -3.4958e+11  4e+11  2e-16  3e-08\n",
      "10:  7.6741e+08 -7.9444e+09  9e+09  2e-16  9e-10\n",
      "11:  3.0637e+08 -1.0290e+09  1e+09  2e-16  1e-09\n",
      "12:  5.4257e+07 -8.4932e+07  1e+08  2e-16  2e-12\n",
      "13:  8.2313e+06 -9.3054e+06  2e+07  1e-16  1e-12\n",
      "14:  1.1852e+06 -1.3321e+06  3e+06  2e-16  7e-13\n",
      "15:  1.6986e+05 -1.8872e+05  4e+05  3e-16  1e-13\n",
      "16:  2.4250e+04 -2.7074e+04  5e+04  2e-16  8e-14\n",
      "17:  3.4349e+03 -3.9155e+03  7e+03  3e-16  3e-14\n",
      "18:  4.7630e+02 -5.7655e+02  1e+03  1e-16  1e-14\n",
      "19:  6.1690e+01 -8.8893e+01  2e+02  2e-16  4e-15\n",
      "20:  5.7810e+00 -1.5509e+01  2e+01  2e-16  1e-15\n",
      "21: -1.0282e+00 -3.7932e+00  3e+00  2e-16  6e-16\n",
      "22: -1.7673e+00 -2.1918e+00  4e-01  3e-16  1e-16\n",
      "23: -1.9332e+00 -1.9997e+00  7e-02  2e-16  2e-16\n",
      "24: -1.9571e+00 -1.9661e+00  9e-03  2e-16  2e-16\n",
      "25: -1.9604e+00 -1.9616e+00  1e-03  2e-16  1e-16\n",
      "26: -1.9607e+00 -1.9609e+00  2e-04  2e-16  9e-17\n",
      "27: -1.9608e+00 -1.9608e+00  3e-05  2e-16  1e-16\n",
      "28: -1.9608e+00 -1.9608e+00  2e-06  2e-16  8e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  5.7699e+01 -1.3381e+06  2e+02  1e+00  1e+00\n",
      " 2:  6.4547e+01 -2.6161e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.1636e+01 -2.7790e+07  6e+03  1e+00  1e+00\n",
      " 4:  2.8003e+01 -3.2871e+08  7e+04  1e+00  1e+00\n",
      " 5:  4.1717e+01 -9.1472e+10  2e+07  1e+00  1e+00\n",
      " 6:  2.8495e+08 -2.0294e+18  2e+18  3e-13  2e-03\n",
      " 7:  2.8495e+08 -2.0294e+16  2e+16  3e-15  1e-03\n",
      " 8:  2.8495e+08 -2.0295e+14  2e+14  2e-16  1e-05\n",
      " 9:  2.8495e+08 -2.0333e+12  2e+12  2e-16  2e-07\n",
      "10:  2.8454e+08 -2.4179e+10  2e+10  2e-16  3e-09\n",
      "11:  2.6050e+08 -3.8720e+09  4e+09  2e-16  4e-10\n",
      "12:  1.0438e+08 -3.4022e+09  4e+09  2e-16  2e-10\n",
      "13:  4.0001e+07 -1.5019e+08  2e+08  2e-16  1e-11\n",
      "14:  6.4247e+06 -7.9364e+06  1e+07  2e-16  9e-13\n",
      "15:  9.2296e+05 -1.0220e+06  2e+06  1e-16  3e-13\n",
      "16:  1.3225e+05 -1.4688e+05  3e+05  3e-16  2e-13\n",
      "17:  1.8879e+04 -2.1059e+04  4e+04  2e-16  7e-14\n",
      "18:  2.6743e+03 -3.0464e+03  6e+03  1e-16  2e-14\n",
      "19:  3.7085e+02 -4.4853e+02  8e+02  2e-16  9e-15\n",
      "20:  4.7973e+01 -6.9170e+01  1e+02  1e-16  3e-15\n",
      "21:  4.3969e+00 -1.2118e+01  2e+01  2e-16  1e-15\n",
      "22: -9.6374e-01 -3.1059e+00  2e+00  2e-16  4e-16\n",
      "23: -1.7964e+00 -2.4524e+00  7e-01  3e-16  2e-16\n",
      "24: -1.9325e+00 -2.0059e+00  7e-02  2e-16  5e-17\n",
      "25: -1.9571e+00 -1.9663e+00  9e-03  2e-16  9e-17\n",
      "26: -1.9604e+00 -1.9617e+00  1e-03  1e-16  1e-16\n",
      "27: -1.9607e+00 -1.9609e+00  2e-04  2e-16  9e-17\n",
      "28: -1.9608e+00 -1.9608e+00  2e-05  3e-16  1e-16\n",
      "29: -1.9608e+00 -1.9608e+00  1e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  HUQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.3536e+01 -2.9871e+05  6e+01  1e+00  1e+00\n",
      " 2:  1.6866e+00 -2.2369e+06  5e+02  1e+00  1e+00\n",
      " 3:  8.4567e+00 -1.8430e+08  4e+04  1e+00  1e+00\n",
      " 4:  2.3242e+01 -3.0335e+11  8e+07  1e+00  1e+00\n",
      " 5:  6.4285e+04 -4.1171e+18  4e+18  4e-13  3e-03\n",
      " 6:  6.4285e+04 -4.1171e+16  4e+16  4e-15  6e-03\n",
      " 7:  6.4285e+04 -4.1171e+14  4e+14  2e-16  7e-05\n",
      " 8:  6.4285e+04 -4.1171e+12  4e+12  5e-17  5e-07\n",
      " 9:  6.4284e+04 -4.1171e+10  4e+10  2e-16  5e-09\n",
      "10:  6.4165e+04 -4.1185e+08  4e+08  3e-16  1e-11\n",
      "11:  5.4183e+04 -4.2325e+06  4e+06  1e-16  4e-13\n",
      "12:  9.6192e+03 -5.3171e+04  6e+04  2e-16  3e-14\n",
      "13:  1.3764e+03 -1.9198e+03  3e+03  3e-16  1e-14\n",
      "14:  1.8333e+02 -2.4144e+02  4e+02  5e-17  4e-15\n",
      "15:  2.0484e+01 -4.0550e+01  6e+01  2e-16  2e-15\n",
      "16: -1.1409e-01 -8.4724e+00  8e+00  2e-16  4e-16\n",
      "17: -2.2563e+00 -3.1675e+00  9e-01  2e-16  2e-16\n",
      "18: -2.4506e+00 -2.5538e+00  1e-01  1e-16  2e-16\n",
      "19: -2.4580e+00 -2.4610e+00  3e-03  4e-16  2e-16\n",
      "20: -2.4580e+00 -2.4580e+00  3e-05  2e-16  1e-16\n",
      "21: -2.4580e+00 -2.4580e+00  3e-07  6e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.4923e+01 -5.1923e+05  1e+02  1e+00  1e+00\n",
      " 2: -3.0776e-01 -2.3325e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.0646e+01 -1.0227e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.3441e+01 -1.9020e+08  4e+04  1e+00  1e+00\n",
      " 5:  1.5683e+01 -9.2721e+10  2e+07  1e+00  1e+00\n",
      " 6:  2.4348e+08 -1.8998e+18  2e+18  5e-13  2e-03\n",
      " 7:  2.4348e+08 -1.8998e+16  2e+16  5e-15  9e-04\n",
      " 8:  2.4348e+08 -1.8998e+14  2e+14  1e-16  2e-05\n",
      " 9:  2.4348e+08 -1.9009e+12  2e+12  2e-16  2e-07\n",
      "10:  2.4321e+08 -2.0037e+10  2e+10  2e-16  6e-10\n",
      "11:  2.1982e+08 -1.1283e+09  1e+09  7e-17  3e-10\n",
      "12:  3.4336e+07 -2.1398e+08  2e+08  2e-16  3e-10\n",
      "13:  7.5358e+06 -1.1329e+07  2e+07  2e-16  1e-11\n",
      "14:  1.0918e+06 -1.1998e+06  2e+06  1e-16  5e-13\n",
      "15:  1.5661e+05 -1.7552e+05  3e+05  1e-16  6e-14\n",
      "16:  2.2333e+04 -2.5062e+04  5e+04  4e-16  6e-14\n",
      "17:  3.1511e+03 -3.6362e+03  7e+03  1e-16  3e-14\n",
      "18:  4.3175e+02 -5.4014e+02  1e+03  2e-16  7e-15\n",
      "19:  5.3617e+01 -8.5248e+01  1e+02  1e-16  4e-15\n",
      "20:  3.7709e+00 -1.5745e+01  2e+01  3e-16  2e-15\n",
      "21: -1.9028e+00 -4.3325e+00  2e+00  2e-16  5e-16\n",
      "22: -2.5087e+00 -2.8780e+00  4e-01  1e-16  7e-17\n",
      "23: -2.5588e+00 -2.5856e+00  3e-02  2e-16  1e-16\n",
      "24: -2.5599e+00 -2.5604e+00  5e-04  4e-17  5e-17\n",
      "25: -2.5599e+00 -2.5599e+00  5e-06  1e-16  2e-17\n",
      "26: -2.5599e+00 -2.5599e+00  5e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.7583e+01 -6.5248e+05  1e+02  1e+00  1e+00\n",
      " 2:  3.8577e+01 -1.3753e+06  3e+02  1e+00  1e+00\n",
      " 3:  7.2363e+00 -3.0464e+07  6e+03  1e+00  1e+00\n",
      " 4:  1.3587e+01 -6.8524e+08  1e+05  1e+00  1e+00\n",
      " 5:  1.5639e+01 -5.3275e+11  1e+08  1e+00  1e+00\n",
      " 6:  5.0604e+08 -9.7508e+18  1e+19  3e-13  1e-02\n",
      " 7:  5.0604e+08 -9.7508e+16  1e+17  3e-15  7e-03\n",
      " 8:  5.0604e+08 -9.7508e+14  1e+15  2e-16  1e-04\n",
      " 9:  5.0604e+08 -9.7539e+12  1e+13  2e-16  2e-06\n",
      "10:  5.0596e+08 -1.0059e+11  1e+11  2e-16  2e-08\n",
      "11:  4.9881e+08 -4.0285e+09  5e+09  1e-16  1e-09\n",
      "12:  7.0003e+07 -2.4710e+09  3e+09  2e-16  3e-09\n",
      "13:  2.7105e+07 -1.1958e+08  1e+08  2e-16  2e-10\n",
      "14:  4.3096e+06 -5.7223e+06  1e+07  1e-16  3e-12\n",
      "15:  6.1833e+05 -6.8394e+05  1e+06  2e-16  4e-13\n",
      "16:  8.8501e+04 -9.8832e+04  2e+05  1e-16  8e-14\n",
      "17:  1.2587e+04 -1.4204e+04  3e+04  8e-17  6e-14\n",
      "18:  1.7644e+03 -2.0730e+03  4e+03  3e-16  2e-14\n",
      "19:  2.3702e+02 -3.1236e+02  5e+02  2e-16  3e-15\n",
      "20:  2.7155e+01 -5.1155e+01  8e+01  1e-16  2e-15\n",
      "21:  4.2236e-01 -1.0398e+01  1e+01  2e-16  9e-16\n",
      "22: -2.3494e+00 -3.5622e+00  1e+00  2e-16  3e-16\n",
      "23: -2.5893e+00 -2.7537e+00  2e-01  9e-17  7e-17\n",
      "24: -2.6119e+00 -2.6236e+00  1e-02  2e-16  1e-16\n",
      "25: -2.6122e+00 -2.6124e+00  2e-04  2e-16  2e-16\n",
      "26: -2.6122e+00 -2.6122e+00  2e-06  7e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.2868e+01 -8.7591e+05  1e+02  1e+00  1e+00\n",
      " 2:  7.0160e+01 -1.6698e+06  3e+02  1e+00  1e+00\n",
      " 3:  1.2831e+01 -6.6878e+06  1e+03  1e+00  1e+00\n",
      " 4:  2.9551e+01 -4.3286e+07  9e+03  1e+00  1e+00\n",
      " 5:  3.4072e+01 -3.1753e+09  6e+05  1e+00  1e+00\n",
      " 6:  2.5947e+08 -7.6640e+16  8e+16  4e-13  1e-04\n",
      " 7:  2.5947e+08 -7.6640e+14  8e+14  4e-15  3e-05\n",
      " 8:  2.5947e+08 -7.6664e+12  8e+12  2e-16  6e-07\n",
      " 9:  2.5934e+08 -7.9041e+10  8e+10  2e-16  1e-08\n",
      "10:  2.4735e+08 -3.0561e+09  3e+09  2e-16  4e-10\n",
      "11:  4.7854e+07 -4.4037e+08  5e+08  9e-17  1e-09\n",
      "12:  1.1013e+07 -2.1879e+07  3e+07  1e-16  5e-11\n",
      "13:  1.5996e+06 -1.7167e+06  3e+06  1e-16  3e-13\n",
      "14:  2.2952e+05 -2.5800e+05  5e+05  1e-16  2e-13\n",
      "15:  3.2737e+04 -3.6707e+04  7e+04  1e-16  6e-14\n",
      "16:  4.6227e+03 -5.3231e+03  1e+04  2e-16  4e-14\n",
      "17:  6.3508e+02 -7.8923e+02  1e+03  2e-16  5e-15\n",
      "18:  7.9772e+01 -1.2388e+02  2e+02  1e-16  1e-15\n",
      "19:  6.2811e+00 -2.2483e+01  3e+01  2e-16  2e-15\n",
      "20: -2.0561e+00 -5.7849e+00  4e+00  2e-16  5e-16\n",
      "21: -2.6319e+00 -2.9087e+00  3e-01  2e-16  2e-16\n",
      "22: -2.6460e+00 -2.6628e+00  2e-02  1e-16  1e-16\n",
      "23: -2.6461e+00 -2.6463e+00  2e-04  2e-16  8e-17\n",
      "24: -2.6461e+00 -2.6461e+00  2e-06  3e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.4221e+01 -1.1868e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.7277e+01 -2.2268e+06  4e+02  1e+00  1e+00\n",
      " 3:  2.3528e+01 -7.1175e+06  1e+03  1e+00  1e+00\n",
      " 4:  4.4480e+01 -3.9734e+07  8e+03  1e+00  1e+00\n",
      " 5:  5.1775e+01 -2.7247e+09  6e+05  1e+00  1e+00\n",
      " 6:  2.5971e+08 -6.5916e+16  7e+16  5e-13  5e-05\n",
      " 7:  2.5971e+08 -6.5916e+14  7e+14  5e-15  5e-05\n",
      " 8:  2.5971e+08 -6.5945e+12  7e+12  1e-16  4e-07\n",
      " 9:  2.5951e+08 -6.8811e+10  7e+10  2e-16  4e-09\n",
      "10:  2.4146e+08 -3.3521e+09  4e+09  1e-16  2e-10\n",
      "11:  4.9411e+07 -4.3591e+08  5e+08  1e-16  5e-10\n",
      "12:  1.0606e+07 -2.0641e+07  3e+07  2e-16  2e-11\n",
      "13:  1.5406e+06 -1.6575e+06  3e+06  3e-16  1e-12\n",
      "14:  2.2095e+05 -2.4786e+05  5e+05  3e-16  1e-13\n",
      "15:  3.1506e+04 -3.5327e+04  7e+04  2e-16  7e-14\n",
      "16:  4.4470e+03 -5.1253e+03  1e+04  1e-16  2e-14\n",
      "17:  6.1030e+02 -7.6057e+02  1e+03  2e-16  5e-15\n",
      "18:  7.6372e+01 -1.1963e+02  2e+02  2e-16  3e-15\n",
      "19:  5.8466e+00 -2.1820e+01  3e+01  2e-16  2e-15\n",
      "20: -2.1057e+00 -5.6771e+00  4e+00  2e-16  5e-16\n",
      "21: -2.6439e+00 -2.9014e+00  3e-01  2e-16  2e-16\n",
      "22: -2.6575e+00 -2.6721e+00  1e-02  2e-16  9e-17\n",
      "23: -2.6576e+00 -2.6578e+00  2e-04  2e-16  3e-17\n",
      "24: -2.6576e+00 -2.6576e+00  2e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  7.4474e+01 -1.6094e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0947e+02 -2.8588e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.8394e+01 -1.1345e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.6496e+01 -7.5841e+07  2e+04  1e+00  1e+00\n",
      " 5:  6.7539e+01 -8.7036e+09  2e+06  1e+00  1e+00\n",
      " 6:  3.5615e+08 -2.0653e+17  2e+17  7e-13  1e-04\n",
      " 7:  3.5615e+08 -2.0653e+15  2e+15  7e-15  8e-05\n",
      " 8:  3.5615e+08 -2.0658e+13  2e+13  2e-16  1e-06\n",
      " 9:  3.5604e+08 -2.1199e+11  2e+11  2e-16  2e-08\n",
      "10:  3.4583e+08 -7.3797e+09  8e+09  2e-16  6e-10\n",
      "11:  9.0307e+07 -1.2145e+09  1e+09  2e-16  1e-09\n",
      "12:  2.2770e+07 -5.0623e+07  7e+07  2e-16  5e-11\n",
      "13:  3.4089e+06 -3.7602e+06  7e+06  2e-16  4e-13\n",
      "14:  4.8923e+05 -5.4685e+05  1e+06  1e-16  3e-13\n",
      "15:  6.9905e+04 -7.7971e+04  1e+05  2e-16  1e-13\n",
      "16:  9.9194e+03 -1.1257e+04  2e+04  1e-16  3e-14\n",
      "17:  1.3824e+03 -1.6508e+03  3e+03  2e-16  2e-14\n",
      "18:  1.8242e+02 -2.5177e+02  4e+02  3e-16  4e-15\n",
      "19:  1.9331e+01 -4.2465e+01  6e+01  3e-16  2e-15\n",
      "20: -7.6140e-01 -9.2069e+00  8e+00  2e-16  7e-16\n",
      "21: -2.5805e+00 -3.4561e+00  9e-01  1e-16  2e-16\n",
      "22: -2.6582e+00 -2.7192e+00  6e-02  2e-16  6e-17\n",
      "23: -2.6625e+00 -2.6653e+00  3e-03  3e-16  8e-17\n",
      "24: -2.6626e+00 -2.6626e+00  6e-05  1e-16  1e-16\n",
      "25: -2.6626e+00 -2.6626e+00  6e-07  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  8.8115e+01 -2.0212e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.3469e+02 -3.6118e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.9389e+01 -1.8187e+07  4e+03  1e+00  1e+00\n",
      " 4:  6.1065e+01 -1.1216e+08  2e+04  1e+00  1e+00\n",
      " 5:  9.9854e+01 -7.3105e+09  1e+06  1e+00  1e+00\n",
      " 6:  4.4549e+08 -1.7682e+17  2e+17  6e-13  1e-04\n",
      " 7:  4.4549e+08 -1.7682e+15  2e+15  6e-15  7e-05\n",
      " 8:  4.4549e+08 -1.7688e+13  2e+13  2e-16  7e-07\n",
      " 9:  4.4538e+08 -1.8246e+11  2e+11  1e-16  1e-08\n",
      "10:  4.3485e+08 -7.2897e+09  8e+09  2e-16  5e-10\n",
      "11:  1.3418e+08 -2.0731e+09  2e+09  2e-16  3e-09\n",
      "12:  3.3075e+07 -6.2404e+07  1e+08  2e-16  7e-11\n",
      "13:  4.9916e+06 -5.5219e+06  1e+07  2e-16  2e-12\n",
      "14:  7.1586e+05 -7.9487e+05  2e+06  2e-16  2e-13\n",
      "15:  1.0233e+05 -1.1375e+05  2e+05  2e-16  1e-13\n",
      "16:  1.4547e+04 -1.6404e+04  3e+04  2e-16  5e-14\n",
      "17:  2.0385e+03 -2.3956e+03  4e+03  2e-16  1e-14\n",
      "18:  2.7380e+02 -3.6115e+02  6e+02  2e-16  6e-15\n",
      "19:  3.1456e+01 -5.9116e+01  9e+01  1e-16  3e-15\n",
      "20:  6.5336e-01 -1.1919e+01  1e+01  3e-16  9e-16\n",
      "21: -2.4379e+00 -3.8811e+00  1e+00  2e-16  2e-16\n",
      "22: -2.6286e+00 -2.8956e+00  3e-01  2e-16  7e-17\n",
      "23: -2.6655e+00 -2.6914e+00  3e-02  2e-16  3e-17\n",
      "24: -2.6670e+00 -2.6680e+00  1e-03  2e-16  1e-16\n",
      "25: -2.6670e+00 -2.6670e+00  1e-05  2e-16  1e-16\n",
      "26: -2.6670e+00 -2.6670e+00  1e-07  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.4291e+01 -2.3839e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.5382e+02 -3.8185e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.4405e+02 -8.7548e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.6144e+01 -1.6266e+08  3e+04  1e+00  1e+00\n",
      " 5:  5.8242e+01 -3.7355e+09  8e+05  1e+00  1e+00\n",
      " 6:  7.1114e+01 -4.0882e+12  1e+09  1e+00  1e+00\n",
      " 7:  9.0560e+08 -6.7174e+19  7e+19  6e-13  4e-02\n",
      " 8:  9.0560e+08 -6.7174e+17  7e+17  6e-15  2e-02\n",
      " 9:  9.0560e+08 -6.7174e+15  7e+15  2e-16  4e-04\n",
      "10:  9.0559e+08 -6.7189e+13  7e+13  2e-16  4e-06\n",
      "11:  9.0545e+08 -6.8657e+11  7e+11  2e-16  4e-08\n",
      "12:  8.9151e+08 -2.1413e+10  2e+10  1e-16  1e-09\n",
      "13:  4.0141e+08 -5.7681e+09  6e+09  1e-16  2e-08\n",
      "14:  1.1900e+08 -2.1592e+08  3e+08  2e-16  7e-10\n",
      "15:  1.8115e+07 -1.9999e+07  4e+07  2e-16  8e-12\n",
      "16:  2.6032e+06 -2.9031e+06  6e+06  1e-16  5e-13\n",
      "17:  3.7285e+05 -4.1315e+05  8e+05  2e-16  2e-13\n",
      "18:  5.3223e+04 -5.9344e+04  1e+05  2e-16  5e-14\n",
      "19:  7.5406e+03 -8.5845e+03  2e+04  2e-16  3e-14\n",
      "20:  1.0468e+03 -1.2633e+03  2e+03  2e-16  1e-14\n",
      "21:  1.3637e+02 -1.9423e+02  3e+02  2e-16  5e-15\n",
      "22:  1.3525e+01 -3.3437e+01  5e+01  3e-16  2e-15\n",
      "23: -1.2856e+00 -7.6173e+00  6e+00  2e-16  6e-16\n",
      "24: -2.5542e+00 -3.1506e+00  6e-01  2e-16  2e-16\n",
      "25: -2.6632e+00 -2.7819e+00  1e-01  1e-16  1e-16\n",
      "26: -2.6701e+00 -2.6768e+00  7e-03  1e-16  1e-16\n",
      "27: -2.6704e+00 -2.6705e+00  1e-04  1e-16  1e-16\n",
      "28: -2.6704e+00 -2.6704e+00  1e-06  2e-16  9e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  9.7067e+01 -2.7137e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.4859e+02 -3.7813e+06  7e+02  1e+00  1e+00\n",
      " 3:  2.3944e+02 -7.4667e+06  1e+03  1e+00  1e+00\n",
      " 4:  3.4707e+01 -2.6591e+07  5e+03  1e+00  1e+00\n",
      " 5:  6.4974e+01 -1.4554e+08  3e+04  1e+00  1e+00\n",
      " 6:  1.1261e+02 -5.8288e+09  1e+06  1e+00  1e+00\n",
      " 7:  7.8626e+01 -1.2006e+14  1e+11  1e+00  1e+00\n",
      " 8:  3.5855e+08 -1.0977e+20  1e+20  2e-13  3e-02\n",
      " 9:  3.5855e+08 -1.0977e+18  1e+18  2e-15  2e-02\n",
      "10:  3.5855e+08 -1.0977e+16  1e+16  2e-16  4e-04\n",
      "11:  3.5855e+08 -1.0978e+14  1e+14  2e-16  6e-06\n",
      "12:  3.5851e+08 -1.1049e+12  1e+12  2e-16  8e-08\n",
      "13:  3.5532e+08 -1.8091e+10  2e+10  2e-16  1e-09\n",
      "14:  2.3562e+08 -4.1006e+09  4e+09  1e-16  2e-08\n",
      "15:  5.6307e+07 -3.2731e+08  4e+08  2e-16  5e-12\n",
      "16:  9.8053e+06 -1.6091e+07  3e+07  2e-16  9e-13\n",
      "17:  1.4076e+06 -1.5223e+06  3e+06  2e-16  3e-13\n",
      "18:  2.0168e+05 -2.2535e+05  4e+05  2e-16  2e-13\n",
      "19:  2.8743e+04 -3.2230e+04  6e+04  2e-16  4e-14\n",
      "20:  4.0536e+03 -4.6804e+03  9e+03  2e-16  3e-14\n",
      "21:  5.5506e+02 -6.9581e+02  1e+03  2e-16  7e-15\n",
      "22:  6.8900e+01 -1.0991e+02  2e+02  2e-16  3e-15\n",
      "23:  4.9424e+00 -2.0262e+01  3e+01  1e-16  1e-15\n",
      "24: -2.1796e+00 -5.4006e+00  3e+00  3e-16  3e-16\n",
      "25: -2.6467e+00 -2.9022e+00  3e-01  2e-16  1e-16\n",
      "26: -2.6707e+00 -2.6890e+00  2e-02  2e-16  7e-17\n",
      "27: -2.6722e+00 -2.6734e+00  1e-03  1e-16  5e-17\n",
      "28: -2.6723e+00 -2.6723e+00  3e-05  2e-16  1e-16\n",
      "29: -2.6723e+00 -2.6723e+00  3e-07  3e-16  9e-17\n",
      "Optimal solution found.\n",
      "processing  HOQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  3.3062e+00 -8.9301e+04  2e+01  1e+00  1e+00\n",
      " 2:  7.4852e-01 -1.3523e+07  3e+03  1e+00  1e+00\n",
      " 3:  1.1550e+07 -3.1917e+14  3e+14  5e-13  5e-06\n",
      " 4:  1.1550e+07 -3.1917e+12  3e+12  5e-15  2e-06\n",
      " 5:  1.1549e+07 -3.1937e+10  3e+10  5e-17  2e-08\n",
      " 6:  1.1443e+07 -3.3952e+08  4e+08  8e-17  3e-10\n",
      " 7:  6.2668e+06 -1.2988e+07  2e+07  2e-16  2e-11\n",
      " 8:  1.0177e+06 -1.1358e+06  2e+06  2e-16  1e-12\n",
      " 9:  1.4682e+05 -1.6613e+05  3e+05  4e-17  4e-13\n",
      "10:  2.1048e+04 -2.3427e+04  4e+04  7e-17  1e-13\n",
      "11:  3.0022e+03 -3.3647e+03  6e+03  9e-17  2e-14\n",
      "12:  4.2397e+02 -4.8781e+02  9e+02  2e-16  1e-14\n",
      "13:  5.8274e+01 -7.2318e+01  1e+02  3e-17  5e-15\n",
      "14:  7.3337e+00 -1.1341e+01  2e+01  7e-17  1e-15\n",
      "15:  5.8635e-01 -2.0527e+00  3e+00  3e-16  1e-15\n",
      "16: -1.8079e-01 -5.2416e-01  3e-01  3e-16  4e-16\n",
      "17: -2.3301e-01 -2.5880e-01  3e-02  3e-16  1e-16\n",
      "18: -2.3361e-01 -2.3393e-01  3e-04  2e-16  6e-17\n",
      "19: -2.3361e-01 -2.3362e-01  3e-06  3e-16  4e-17\n",
      "20: -2.3361e-01 -2.3361e-01  3e-08  9e-17  8e-18\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  5.6755e+00 -1.4702e+05  3e+01  1e+00  1e+00\n",
      " 2:  2.4330e+00 -3.1928e+06  7e+02  1e+00  1e+00\n",
      " 3:  4.2727e+00 -2.7250e+09  6e+05  1e+00  1e+00\n",
      " 4:  1.1493e+07 -4.9436e+16  5e+16  5e-13  3e-04\n",
      " 5:  1.1493e+07 -4.9436e+14  5e+14  5e-15  2e-04\n",
      " 6:  1.1493e+07 -4.9436e+12  5e+12  2e-16  2e-06\n",
      " 7:  1.1492e+07 -4.9501e+10  5e+10  1e-16  5e-08\n",
      " 8:  1.1357e+07 -5.5846e+08  6e+08  3e-16  5e-10\n",
      " 9:  5.5681e+06 -3.2974e+07  4e+07  8e-17  3e-11\n",
      "10:  8.7106e+05 -1.2027e+06  2e+06  2e-16  6e-13\n",
      "11:  1.2551e+05 -1.3961e+05  3e+05  4e-16  3e-13\n",
      "12:  1.8007e+04 -2.0099e+04  4e+04  2e-16  1e-13\n",
      "13:  2.5701e+03 -2.8777e+03  5e+03  2e-16  3e-14\n",
      "14:  3.6328e+02 -4.1715e+02  8e+02  2e-16  6e-15\n",
      "15:  4.9981e+01 -6.1816e+01  1e+02  2e-16  3e-15\n",
      "16:  6.2730e+00 -9.7093e+00  2e+01  3e-16  2e-15\n",
      "17:  4.6143e-01 -1.7899e+00  2e+00  9e-17  1e-15\n",
      "18: -2.1394e-01 -5.0492e-01  3e-01  2e-16  2e-16\n",
      "19: -2.6821e-01 -2.9493e-01  3e-02  1e-16  2e-16\n",
      "20: -2.6956e-01 -2.7006e-01  5e-04  3e-16  5e-17\n",
      "21: -2.6956e-01 -2.6957e-01  5e-06  8e-17  8e-17\n",
      "22: -2.6956e-01 -2.6956e-01  5e-08  2e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  8.4625e+00 -2.1160e+05  4e+01  1e+00  1e+00\n",
      " 2:  3.4756e+00 -1.5950e+07  3e+03  1e+00  1e+00\n",
      " 3:  4.5123e+00 -6.5180e+10  2e+07  1e+00  1e+00\n",
      " 4:  6.0278e+06 -4.7502e+17  5e+17  2e-13  3e-03\n",
      " 5:  6.0278e+06 -4.7502e+15  5e+15  2e-15  3e-03\n",
      " 6:  6.0278e+06 -4.7502e+13  5e+13  6e-17  3e-05\n",
      " 7:  6.0277e+06 -4.7504e+11  5e+11  1e-16  4e-07\n",
      " 8:  6.0215e+06 -4.7711e+09  5e+09  1e-16  4e-09\n",
      " 9:  5.4602e+06 -6.6209e+07  7e+07  1e-16  6e-11\n",
      "10:  1.1903e+06 -2.3304e+06  4e+06  1e-16  2e-12\n",
      "11:  1.7413e+05 -1.8827e+05  4e+05  1e-16  7e-13\n",
      "12:  2.4960e+04 -2.7887e+04  5e+04  1e-16  2e-13\n",
      "13:  3.5598e+03 -3.9856e+03  8e+03  2e-16  7e-14\n",
      "14:  5.0275e+02 -5.7827e+02  1e+03  1e-16  3e-14\n",
      "15:  6.9104e+01 -8.5737e+01  2e+02  2e-16  5e-15\n",
      "16:  8.6916e+00 -1.3450e+01  2e+01  3e-16  4e-15\n",
      "17:  6.8846e-01 -2.4388e+00  3e+00  2e-16  6e-16\n",
      "18: -2.2303e-01 -6.2864e-01  4e-01  2e-16  2e-16\n",
      "19: -2.8692e-01 -3.3157e-01  4e-02  3e-16  3e-17\n",
      "20: -2.8881e-01 -2.8989e-01  1e-03  3e-16  8e-17\n",
      "21: -2.8882e-01 -2.8883e-01  1e-05  2e-16  1e-16\n",
      "22: -2.8882e-01 -2.8882e-01  1e-07  1e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.1034e+01 -2.8018e+05  6e+01  1e+00  1e+00\n",
      " 2:  5.9371e+00 -3.5019e+06  7e+02  1e+00  1e+00\n",
      " 3:  8.9980e+00 -1.3165e+09  3e+05  1e+00  1e+00\n",
      " 4:  1.0016e+07 -2.8425e+16  3e+16  4e-13  3e-04\n",
      " 5:  1.0016e+07 -2.8425e+14  3e+14  5e-15  2e-04\n",
      " 6:  1.0016e+07 -2.8425e+12  3e+12  1e-16  2e-06\n",
      " 7:  1.0013e+07 -2.8466e+10  3e+10  2e-16  2e-08\n",
      " 8:  9.7044e+06 -3.2454e+08  3e+08  2e-16  3e-10\n",
      " 9:  3.1072e+06 -1.1477e+07  1e+07  2e-16  1e-11\n",
      "10:  4.7743e+05 -5.7111e+05  1e+06  3e-16  8e-13\n",
      "11:  6.8463e+04 -7.5796e+04  1e+05  1e-16  4e-13\n",
      "12:  9.7933e+03 -1.0903e+04  2e+04  1e-16  4e-14\n",
      "13:  1.3928e+03 -1.5703e+03  3e+03  2e-16  4e-14\n",
      "14:  1.9524e+02 -2.2927e+02  4e+02  2e-16  2e-14\n",
      "15:  2.6216e+01 -3.4571e+01  6e+01  1e-16  2e-15\n",
      "16:  2.9856e+00 -5.6799e+00  9e+00  1e-16  3e-15\n",
      "17:  2.4593e-02 -1.1736e+00  1e+00  3e-16  7e-16\n",
      "18: -2.7924e-01 -4.1852e-01  1e-01  1e-16  1e-16\n",
      "19: -2.9640e-01 -3.0486e-01  8e-03  2e-16  1e-16\n",
      "20: -2.9662e-01 -2.9678e-01  2e-04  2e-16  1e-16\n",
      "21: -2.9662e-01 -2.9662e-01  2e-06  2e-16  7e-17\n",
      "22: -2.9662e-01 -2.9662e-01  2e-08  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.5448e+01 -3.7185e+05  7e+01  1e+00  1e+00\n",
      " 2:  8.1978e+00 -1.7157e+07  4e+03  1e+00  1e+00\n",
      " 3:  8.3936e+00 -2.4487e+10  6e+06  1e+00  1e+00\n",
      " 4:  1.9132e+07 -3.6418e+17  4e+17  4e-13  3e-03\n",
      " 5:  1.9132e+07 -3.6418e+15  4e+15  4e-15  1e-03\n",
      " 6:  1.9132e+07 -3.6418e+13  4e+13  2e-16  1e-05\n",
      " 7:  1.9132e+07 -3.6425e+11  4e+11  2e-16  9e-08\n",
      " 8:  1.9075e+07 -3.7097e+09  4e+09  2e-16  1e-09\n",
      " 9:  1.4819e+07 -8.6845e+07  1e+08  2e-16  4e-11\n",
      "10:  2.7483e+06 -4.1325e+06  7e+06  2e-16  2e-12\n",
      "11:  3.9601e+05 -4.3243e+05  8e+05  8e-17  1e-12\n",
      "12:  5.6810e+04 -6.3345e+04  1e+05  1e-16  2e-13\n",
      "13:  8.1161e+03 -9.0442e+03  2e+04  2e-16  9e-14\n",
      "14:  1.1516e+03 -1.3065e+03  2e+03  2e-16  4e-14\n",
      "15:  1.6050e+02 -1.9162e+02  4e+02  1e-16  1e-14\n",
      "16:  2.1181e+01 -2.9226e+01  5e+01  4e-16  5e-15\n",
      "17:  2.2470e+00 -4.9282e+00  7e+00  3e-16  2e-15\n",
      "18: -8.4823e-02 -1.0665e+00  1e+00  2e-16  7e-16\n",
      "19: -2.9380e-01 -3.9636e-01  1e-01  2e-16  2e-16\n",
      "20: -3.0047e-01 -3.0875e-01  8e-03  3e-16  8e-17\n",
      "21: -3.0055e-01 -3.0064e-01  9e-05  1e-16  1e-16\n",
      "22: -3.0055e-01 -3.0055e-01  9e-07  3e-16  4e-17\n",
      "23: -3.0055e-01 -3.0055e-01  9e-09  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.8212e+01 -4.5141e+05  9e+01  1e+00  1e+00\n",
      " 2:  1.0112e+01 -4.4963e+06  9e+02  1e+00  1e+00\n",
      " 3:  7.8404e+00 -3.9002e+08  8e+04  1e+00  1e+00\n",
      " 4:  1.9592e+01 -5.6679e+11  1e+08  1e+00  1e+00\n",
      " 5:  1.0958e+05 -8.1241e+18  8e+18  4e-13  3e-02\n",
      " 6:  1.0958e+05 -8.1241e+16  8e+16  4e-15  3e-02\n",
      " 7:  1.0958e+05 -8.1241e+14  8e+14  2e-16  4e-04\n",
      " 8:  1.0958e+05 -8.1241e+12  8e+12  2e-16  4e-06\n",
      " 9:  1.0958e+05 -8.1241e+10  8e+10  2e-16  5e-08\n",
      "10:  1.0941e+05 -8.1285e+08  8e+08  1e-16  6e-10\n",
      "11:  9.4991e+04 -8.4975e+06  9e+06  2e-16  6e-12\n",
      "12:  1.7897e+04 -1.0980e+05  1e+05  3e-16  1e-13\n",
      "13:  2.6127e+03 -3.6152e+03  6e+03  1e-16  4e-14\n",
      "14:  3.6656e+02 -4.1705e+02  8e+02  2e-16  2e-14\n",
      "15:  4.9992e+01 -6.3498e+01  1e+02  2e-16  1e-14\n",
      "16:  6.0945e+00 -1.0104e+01  2e+01  9e-17  2e-15\n",
      "17:  3.6244e-01 -1.9121e+00  2e+00  2e-16  1e-15\n",
      "18: -2.6322e-01 -5.4742e-01  3e-01  2e-16  3e-16\n",
      "19: -3.0247e-01 -3.2671e-01  2e-02  3e-16  2e-16\n",
      "20: -3.0315e-01 -3.0361e-01  5e-04  2e-16  6e-17\n",
      "21: -3.0316e-01 -3.0316e-01  5e-06  1e-16  5e-17\n",
      "22: -3.0316e-01 -3.0316e-01  5e-08  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.5828e+01 -4.5369e+05  9e+01  1e+00  1e+00\n",
      " 2:  5.5648e+00 -5.4868e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.6459e+01 -9.1591e+07  2e+04  1e+00  1e+00\n",
      " 4:  1.7844e+01 -1.4130e+11  4e+07  1e+00  1e+00\n",
      " 5:  5.4721e+06 -2.0339e+18  2e+18  4e-13  1e-02\n",
      " 6:  5.4721e+06 -2.0339e+16  2e+16  4e-15  6e-03\n",
      " 7:  5.4721e+06 -2.0339e+14  2e+14  2e-16  1e-04\n",
      " 8:  5.4721e+06 -2.0339e+12  2e+12  1e-16  1e-06\n",
      " 9:  5.4694e+06 -2.0405e+10  2e+10  9e-17  1e-08\n",
      "10:  5.2146e+06 -2.6567e+08  3e+08  1e-16  1e-10\n",
      "11:  1.5029e+06 -9.6782e+06  1e+07  2e-16  5e-12\n",
      "12:  2.3480e+05 -3.5089e+05  6e+05  2e-16  5e-13\n",
      "13:  3.3556e+04 -3.6379e+04  7e+04  2e-16  2e-13\n",
      "14:  4.7991e+03 -5.3597e+03  1e+04  2e-16  6e-14\n",
      "15:  6.8155e+02 -7.7115e+02  1e+03  2e-16  3e-14\n",
      "16:  9.5133e+01 -1.1300e+02  2e+02  2e-16  7e-15\n",
      "17:  1.2560e+01 -1.7219e+01  3e+01  2e-16  3e-15\n",
      "18:  1.2850e+00 -2.9367e+00  4e+00  3e-16  1e-15\n",
      "19: -1.3315e-01 -6.9709e-01  6e-01  2e-16  3e-16\n",
      "20: -2.8592e-01 -3.4535e-01  6e-02  2e-16  2e-16\n",
      "21: -3.0223e-01 -3.0958e-01  7e-03  2e-16  1e-16\n",
      "22: -3.0384e-01 -3.0459e-01  7e-04  7e-17  5e-17\n",
      "23: -3.0393e-01 -3.0397e-01  4e-05  2e-16  1e-16\n",
      "24: -3.0393e-01 -3.0393e-01  4e-07  1e-16  1e-16\n",
      "25: -3.0393e-01 -3.0393e-01  4e-09  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.7950e+01 -5.2552e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.5482e+01 -8.8226e+06  2e+03  1e+00  1e+00\n",
      " 3:  2.3674e+01 -4.0729e+09  9e+05  1e+00  1e+00\n",
      " 4:  9.5526e+06 -8.5218e+16  9e+16  5e-13  2e-04\n",
      " 5:  9.5526e+06 -8.5218e+14  9e+14  5e-15  2e-04\n",
      " 6:  9.5526e+06 -8.5220e+12  9e+12  2e-16  4e-06\n",
      " 7:  9.5507e+06 -8.5407e+10  9e+10  2e-16  5e-08\n",
      " 8:  9.3593e+06 -1.0373e+09  1e+09  2e-16  6e-10\n",
      " 9:  3.7358e+06 -6.0959e+07  6e+07  2e-16  4e-11\n",
      "10:  6.3055e+05 -1.4971e+06  2e+06  1e-16  8e-13\n",
      "11:  9.1743e+04 -1.0116e+05  2e+05  3e-16  2e-13\n",
      "12:  1.3153e+04 -1.4641e+04  3e+04  1e-16  5e-14\n",
      "13:  1.8782e+03 -2.0953e+03  4e+03  2e-16  2e-14\n",
      "14:  2.6605e+02 -3.0314e+02  6e+02  2e-16  8e-15\n",
      "15:  3.6805e+01 -4.4709e+01  8e+01  2e-16  2e-15\n",
      "16:  4.6633e+00 -6.9729e+00  1e+01  2e-16  3e-15\n",
      "17:  3.1972e-01 -1.3047e+00  2e+00  1e-16  9e-16\n",
      "18: -2.2621e-01 -4.3449e-01  2e-01  2e-16  1e-16\n",
      "19: -2.9531e-01 -3.2449e-01  3e-02  2e-16  7e-17\n",
      "20: -3.0351e-01 -3.0700e-01  3e-03  2e-16  7e-17\n",
      "21: -3.0425e-01 -3.0462e-01  4e-04  2e-16  1e-16\n",
      "22: -3.0428e-01 -3.0429e-01  1e-05  2e-16  7e-17\n",
      "23: -3.0428e-01 -3.0428e-01  1e-07  3e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.9932e+01 -6.0117e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.7180e+01 -9.7048e+06  2e+03  1e+00  1e+00\n",
      " 3:  2.1017e+01 -4.3711e+09  1e+06  1e+00  1e+00\n",
      " 4:  4.1630e+07 -9.1421e+16  9e+16  5e-13  4e-04\n",
      " 5:  4.1630e+07 -9.1421e+14  9e+14  5e-15  2e-04\n",
      " 6:  4.1630e+07 -9.1423e+12  9e+12  9e-17  3e-06\n",
      " 7:  4.1617e+07 -9.1593e+10  9e+10  2e-16  4e-08\n",
      " 8:  4.0390e+07 -1.0828e+09  1e+09  1e-16  4e-10\n",
      " 9:  1.3783e+07 -6.1713e+07  8e+07  2e-16  3e-11\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10:  2.2126e+06 -2.8694e+06  5e+06  2e-16  2e-12\n",
      "11:  3.1822e+05 -3.5280e+05  7e+05  2e-16  4e-13\n",
      "12:  4.5642e+04 -5.0733e+04  1e+05  2e-16  2e-13\n",
      "13:  6.5233e+03 -7.2616e+03  1e+04  3e-16  6e-14\n",
      "14:  9.2640e+02 -1.0484e+03  2e+03  1e-16  3e-14\n",
      "15:  1.2935e+02 -1.5358e+02  3e+02  2e-16  1e-14\n",
      "16:  1.7135e+01 -2.3364e+01  4e+01  2e-16  7e-15\n",
      "17:  1.8216e+00 -3.9366e+00  6e+00  2e-16  2e-15\n",
      "18: -9.4217e-02 -8.7641e-01  8e-01  2e-16  4e-16\n",
      "19: -2.8623e-01 -3.7699e-01  9e-02  2e-16  2e-16\n",
      "20: -3.0277e-01 -3.1358e-01  1e-02  2e-16  7e-17\n",
      "21: -3.0451e-01 -3.0547e-01  1e-03  2e-16  6e-17\n",
      "22: -3.0459e-01 -3.0464e-01  5e-05  2e-16  1e-16\n",
      "23: -3.0459e-01 -3.0459e-01  5e-07  2e-16  7e-17\n",
      "24: -3.0459e-01 -3.0459e-01  5e-09  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "processing  IMQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.0239e+01 -2.5939e+05  5e+01  1e+00  1e+00\n",
      " 2:  1.1700e+00 -2.4281e+06  5e+02  1e+00  1e+00\n",
      " 3:  9.2767e+00 -3.1349e+08  6e+04  1e+00  1e+00\n",
      " 4:  1.8769e+01 -5.8913e+12  6e+09  1e+00  1e+00\n",
      " 5:  4.4631e+04 -5.9200e+18  6e+18  8e-14  3e-03\n",
      " 6:  4.4631e+04 -5.9200e+16  6e+16  8e-16  9e-03\n",
      " 7:  4.4631e+04 -5.9200e+14  6e+14  1e-16  1e-04\n",
      " 8:  4.4631e+04 -5.9200e+12  6e+12  2e-16  2e-06\n",
      " 9:  4.4631e+04 -5.9200e+10  6e+10  2e-16  2e-08\n",
      "10:  4.4585e+04 -5.9213e+08  6e+08  1e-16  3e-10\n",
      "11:  4.0420e+04 -6.0346e+06  6e+06  2e-16  3e-12\n",
      "12:  8.0785e+03 -7.2273e+04  8e+04  4e-16  4e-14\n",
      "13:  1.1601e+03 -1.9051e+03  3e+03  1e-16  1e-14\n",
      "14:  1.5421e+02 -2.0024e+02  4e+02  3e-16  2e-15\n",
      "15:  1.7314e+01 -3.4033e+01  5e+01  2e-16  8e-16\n",
      "16: -3.4209e-03 -7.0375e+00  7e+00  2e-16  8e-16\n",
      "17: -1.7415e+00 -3.2031e+00  1e+00  3e-16  3e-16\n",
      "18: -2.0954e+00 -2.3575e+00  3e-01  1e-16  3e-17\n",
      "19: -2.1112e+00 -2.1223e+00  1e-02  1e-16  6e-17\n",
      "20: -2.1113e+00 -2.1114e+00  1e-04  3e-16  1e-16\n",
      "21: -2.1113e+00 -2.1113e+00  1e-06  2e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.2352e+01 -4.7068e+05  9e+01  1e+00  1e+00\n",
      " 2:  1.8460e-01 -1.6274e+06  3e+02  1e+00  1e+00\n",
      " 3:  9.0468e+00 -7.3420e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.0357e+01 -1.8991e+08  4e+04  1e+00  1e+00\n",
      " 5:  1.3762e+01 -1.9485e+11  5e+07  1e+00  1e+00\n",
      " 6:  1.1387e+08 -3.2984e+18  3e+18  4e-13  5e-03\n",
      " 7:  1.1387e+08 -3.2984e+16  3e+16  4e-15  2e-03\n",
      " 8:  1.1387e+08 -3.2984e+14  3e+14  1e-16  3e-05\n",
      " 9:  1.1387e+08 -3.2989e+12  3e+12  2e-16  2e-07\n",
      "10:  1.1381e+08 -3.3523e+10  3e+10  8e-17  3e-09\n",
      "11:  1.0752e+08 -8.3889e+08  9e+08  2e-16  6e-11\n",
      "12:  2.1479e+07 -4.9276e+07  7e+07  2e-16  4e-09\n",
      "13:  3.3463e+06 -3.8862e+06  7e+06  1e-16  3e-11\n",
      "14:  4.8199e+05 -5.4676e+05  1e+06  1e-16  3e-13\n",
      "15:  6.8997e+04 -7.7200e+04  1e+05  1e-16  3e-14\n",
      "16:  9.8070e+03 -1.1110e+04  2e+04  2e-16  2e-14\n",
      "17:  1.3714e+03 -1.6235e+03  3e+03  3e-16  8e-15\n",
      "18:  1.8283e+02 -2.4588e+02  4e+02  3e-16  4e-15\n",
      "19:  2.0314e+01 -4.0769e+01  6e+01  2e-16  6e-16\n",
      "20: -6.8864e-02 -8.4876e+00  8e+00  3e-16  4e-16\n",
      "21: -2.0389e+00 -2.9596e+00  9e-01  2e-16  9e-17\n",
      "22: -2.1718e+00 -2.3002e+00  1e-01  2e-16  5e-17\n",
      "23: -2.1741e+00 -2.1762e+00  2e-03  1e-16  6e-17\n",
      "24: -2.1741e+00 -2.1741e+00  2e-05  2e-16  2e-16\n",
      "25: -2.1741e+00 -2.1741e+00  2e-07  3e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.4732e+01 -6.0322e+05  1e+02  1e+00  1e+00\n",
      " 2:  2.2476e+01 -2.5778e+06  5e+02  1e+00  1e+00\n",
      " 3:  4.2333e+01 -4.0875e+07  8e+03  1e+00  1e+00\n",
      " 4:  1.0158e+01 -3.6094e+10  9e+06  1e+00  1e+00\n",
      " 5:  4.7992e+08 -6.4450e+17  6e+17  3e-13  7e-04\n",
      " 6:  4.7992e+08 -6.4450e+15  6e+15  3e-15  4e-04\n",
      " 7:  4.7992e+08 -6.4453e+13  6e+13  8e-17  5e-06\n",
      " 8:  4.7991e+08 -6.4760e+11  6e+11  2e-16  1e-07\n",
      " 9:  4.7917e+08 -9.5436e+09  1e+10  1e-16  2e-09\n",
      "10:  4.4146e+08 -2.9047e+09  3e+09  1e-16  5e-10\n",
      "11:  4.8019e+07 -3.6516e+09  4e+09  1e-16  4e-10\n",
      "12:  2.7933e+07 -1.5512e+08  2e+08  2e-16  2e-11\n",
      "13:  4.6477e+06 -6.4393e+06  1e+07  1e-16  1e-12\n",
      "14:  6.6839e+05 -7.4105e+05  1e+06  3e-16  2e-13\n",
      "15:  9.5783e+04 -1.0699e+05  2e+05  1e-16  6e-14\n",
      "16:  1.3650e+04 -1.5330e+04  3e+04  3e-16  4e-14\n",
      "17:  1.9232e+03 -2.2270e+03  4e+03  2e-16  2e-14\n",
      "18:  2.6233e+02 -3.3188e+02  6e+02  2e-16  4e-15\n",
      "19:  3.1919e+01 -5.2884e+01  8e+01  2e-16  1e-15\n",
      "20:  1.7196e+00 -1.0098e+01  1e+01  2e-16  6e-16\n",
      "21: -1.7278e+00 -3.1327e+00  1e+00  1e-16  3e-16\n",
      "22: -2.1329e+00 -2.3576e+00  2e-01  7e-17  2e-16\n",
      "23: -2.1785e+00 -2.1997e+00  2e-02  2e-16  1e-16\n",
      "24: -2.1821e+00 -2.1839e+00  2e-03  2e-16  1e-16\n",
      "25: -2.1821e+00 -2.1822e+00  3e-05  2e-16  9e-17\n",
      "26: -2.1821e+00 -2.1821e+00  3e-07  1e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.0661e+01 -8.2964e+05  1e+02  1e+00  1e+00\n",
      " 2:  6.2997e+01 -1.5566e+06  3e+02  1e+00  1e+00\n",
      " 3:  5.6693e+00 -8.4534e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.8787e+01 -5.6427e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.7569e+01 -3.9215e+09  8e+05  1e+00  1e+00\n",
      " 6:  2.8993e+08 -9.4744e+16  9e+16  6e-13  1e-04\n",
      " 7:  2.8993e+08 -9.4744e+14  9e+14  7e-15  8e-05\n",
      " 8:  2.8993e+08 -9.4769e+12  9e+12  2e-16  1e-06\n",
      " 9:  2.8987e+08 -9.7299e+10  1e+11  2e-16  1e-08\n",
      "10:  2.8406e+08 -3.4551e+09  4e+09  3e-16  3e-10\n",
      "11:  5.2495e+07 -9.3709e+08  1e+09  6e-17  8e-09\n",
      "12:  1.5061e+07 -3.0204e+07  5e+07  2e-16  3e-10\n",
      "13:  2.2791e+06 -2.5294e+06  5e+06  7e-17  3e-12\n",
      "14:  3.2705e+05 -3.6530e+05  7e+05  1e-16  3e-13\n",
      "15:  4.6723e+04 -5.2147e+04  1e+05  3e-16  7e-14\n",
      "16:  6.6261e+03 -7.5324e+03  1e+04  1e-16  2e-14\n",
      "17:  9.2185e+02 -1.1061e+03  2e+03  2e-16  9e-15\n",
      "18:  1.2094e+02 -1.6929e+02  3e+02  2e-16  4e-15\n",
      "19:  1.2428e+01 -2.8828e+01  4e+01  1e-16  2e-15\n",
      "20: -8.2887e-01 -6.4153e+00  6e+00  1e-16  7e-16\n",
      "21: -2.0364e+00 -2.6843e+00  6e-01  2e-16  2e-16\n",
      "22: -2.1807e+00 -2.2831e+00  1e-01  1e-16  1e-16\n",
      "23: -2.1922e+00 -2.2026e+00  1e-02  3e-16  9e-17\n",
      "24: -2.1928e+00 -2.1931e+00  3e-04  1e-16  8e-17\n",
      "25: -2.1928e+00 -2.1928e+00  3e-06  1e-16  1e-16\n",
      "26: -2.1928e+00 -2.1928e+00  3e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.1888e+01 -7.8726e+05  1e+02  1e+00  1e+00\n",
      " 2:  7.1540e+01 -1.5681e+06  3e+02  1e+00  1e+00\n",
      " 3:  2.7545e-01 -7.3779e+06  2e+03  1e+00  1e+00\n",
      " 4:  6.9366e+00 -3.1029e+07  6e+03  1e+00  1e+00\n",
      " 5:  1.9367e+01 -4.9687e+08  1e+05  1e+00  1e+00\n",
      " 6:  3.3669e+01 -2.4510e+11  5e+07  1e+00  1e+00\n",
      " 7:  3.3014e+08 -5.0170e+18  5e+18  3e-13  6e-03\n",
      " 8:  3.3014e+08 -5.0170e+16  5e+16  3e-15  3e-03\n",
      " 9:  3.3014e+08 -5.0170e+14  5e+14  2e-16  4e-05\n",
      "10:  3.3014e+08 -5.0200e+12  5e+12  2e-16  4e-07\n",
      "11:  3.2991e+08 -5.3243e+10  5e+10  2e-16  6e-09\n",
      "12:  3.1002e+08 -3.4101e+09  4e+09  2e-16  2e-08\n",
      "13:  5.2773e+07 -1.0991e+09  1e+09  2e-16  2e-09\n",
      "14:  1.3581e+07 -3.2425e+07  5e+07  2e-16  5e-11\n",
      "15:  2.0500e+06 -2.3005e+06  4e+06  2e-16  5e-13\n",
      "16:  2.9382e+05 -3.2639e+05  6e+05  2e-16  4e-13\n",
      "17:  4.1960e+04 -4.6802e+04  9e+04  2e-16  3e-14\n",
      "18:  5.9479e+03 -6.7651e+03  1e+04  3e-16  5e-14\n",
      "19:  8.2665e+02 -9.9443e+02  2e+03  1e-16  4e-15\n",
      "20:  1.0806e+02 -1.5254e+02  3e+02  3e-16  4e-15\n",
      "21:  1.0858e+01 -2.6148e+01  4e+01  3e-16  1e-15\n",
      "22: -9.7417e-01 -5.9474e+00  5e+00  2e-16  3e-16\n",
      "23: -2.0745e+00 -2.5443e+00  5e-01  2e-16  2e-16\n",
      "24: -2.1855e+00 -2.2475e+00  6e-02  2e-16  6e-17\n",
      "25: -2.1949e+00 -2.1999e+00  5e-03  2e-16  8e-17\n",
      "26: -2.1953e+00 -2.1955e+00  2e-04  2e-16  1e-16\n",
      "27: -2.1953e+00 -2.1953e+00  2e-06  2e-16  7e-17\n",
      "28: -2.1953e+00 -2.1953e+00  2e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.3951e+01 -9.4468e+05  1e+02  1e+00  1e+00\n",
      " 2:  9.5257e+01 -2.0049e+06  4e+02  1e+00  1e+00\n",
      " 3:  2.3240e+00 -7.7103e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.0845e+01 -2.8774e+07  6e+03  1e+00  1e+00\n",
      " 5:  3.1375e+01 -3.3808e+08  7e+04  1e+00  1e+00\n",
      " 6:  4.9770e+01 -9.2345e+10  2e+07  1e+00  1e+00\n",
      " 7:  3.5091e+08 -2.0571e+18  2e+18  4e-13  2e-03\n",
      " 8:  3.5091e+08 -2.0571e+16  2e+16  4e-15  8e-04\n",
      " 9:  3.5091e+08 -2.0571e+14  2e+14  2e-16  1e-05\n",
      "10:  3.5090e+08 -2.0604e+12  2e+12  8e-17  1e-07\n",
      "11:  3.5028e+08 -2.3849e+10  2e+10  2e-16  2e-09\n",
      "12:  3.0745e+08 -3.1311e+09  3e+09  2e-16  3e-08\n",
      "13:  6.5663e+07 -1.2386e+09  1e+09  2e-16  1e-09\n",
      "14:  1.6185e+07 -4.1365e+07  6e+07  2e-16  4e-11\n",
      "15:  2.4168e+06 -2.7111e+06  5e+06  2e-16  7e-13\n",
      "16:  3.4648e+05 -3.8540e+05  7e+05  2e-16  2e-13\n",
      "17:  4.9507e+04 -5.5159e+04  1e+05  1e-16  6e-14\n",
      "18:  7.0270e+03 -7.9631e+03  1e+04  1e-16  3e-14\n",
      "19:  9.8016e+02 -1.1671e+03  2e+03  2e-16  1e-14\n",
      "20:  1.2965e+02 -1.7769e+02  3e+02  2e-16  7e-15\n",
      "21:  1.3831e+01 -2.9882e+01  4e+01  2e-16  1e-15\n",
      "22: -5.4776e-01 -6.4923e+00  6e+00  2e-16  5e-16\n",
      "23: -1.8412e+00 -3.1634e+00  1e+00  2e-16  2e-16\n",
      "24: -2.1615e+00 -2.6544e+00  5e-01  2e-16  1e-16\n",
      "25: -2.1955e+00 -2.2341e+00  4e-02  2e-16  2e-16\n",
      "26: -2.1987e+00 -2.2008e+00  2e-03  2e-16  1e-16\n",
      "27: -2.1988e+00 -2.1988e+00  4e-05  2e-16  1e-16\n",
      "28: -2.1988e+00 -2.1988e+00  4e-07  1e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.0626e+01 -1.2854e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.7365e+01 -2.4199e+06  5e+02  1e+00  1e+00\n",
      " 3:  5.3123e+00 -1.0747e+07  2e+03  1e+00  1e+00\n",
      " 4:  2.1554e+01 -4.4926e+07  9e+03  1e+00  1e+00\n",
      " 5:  4.7218e+01 -8.3108e+08  2e+05  1e+00  1e+00\n",
      " 6:  5.5877e+01 -8.4295e+11  2e+08  1e+00  1e+00\n",
      " 7:  3.1512e+08 -1.4360e+19  1e+19  5e-13  1e-02\n",
      " 8:  3.1512e+08 -1.4360e+17  1e+17  5e-15  7e-03\n",
      " 9:  3.1512e+08 -1.4360e+15  1e+15  3e-16  1e-04\n",
      "10:  3.1512e+08 -1.4364e+13  1e+13  2e-16  1e-06\n",
      "11:  3.1502e+08 -1.4762e+11  1e+11  2e-16  1e-08\n",
      "12:  3.0588e+08 -5.3565e+09  6e+09  2e-16  4e-09\n",
      "13:  9.1254e+07 -1.0626e+09  1e+09  2e-16  4e-09\n",
      "14:  2.2212e+07 -4.3967e+07  7e+07  2e-16  1e-10\n",
      "15:  3.3081e+06 -3.6191e+06  7e+06  2e-16  1e-12\n",
      "16:  4.7488e+05 -5.3083e+05  1e+06  1e-16  2e-13\n",
      "17:  6.7885e+04 -7.5598e+04  1e+05  2e-16  1e-13\n",
      "18:  9.6450e+03 -1.0904e+04  2e+04  1e-16  3e-14\n",
      "19:  1.3490e+03 -1.5944e+03  3e+03  1e-16  1e-14\n",
      "20:  1.8004e+02 -2.4136e+02  4e+02  2e-16  4e-15\n",
      "21:  2.0075e+01 -3.9965e+01  6e+01  2e-16  2e-15\n",
      "22: -5.7868e-02 -8.3237e+00  8e+00  2e-16  3e-16\n",
      "23: -2.0417e+00 -2.9444e+00  9e-01  1e-16  2e-16\n",
      "24: -2.1767e+00 -2.3021e+00  1e-01  1e-16  9e-17\n",
      "25: -2.1987e+00 -2.2116e+00  1e-02  2e-16  1e-16\n",
      "26: -2.2002e+00 -2.2010e+00  8e-04  1e-16  4e-17\n",
      "27: -2.2002e+00 -2.2002e+00  1e-05  1e-16  1e-16\n",
      "28: -2.2002e+00 -2.2002e+00  1e-07  3e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.1147e+01 -1.4611e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.2521e+02 -2.9126e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.4607e+01 -1.4579e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.3781e+01 -5.8472e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.4396e+01 -6.8561e+08  1e+05  1e+00  1e+00\n",
      " 6:  4.0532e+01 -1.1922e+11  2e+07  1e+00  1e+00\n",
      " 7:  1.2639e+09 -2.7565e+18  3e+18  5e-13  2e-03\n",
      " 8:  1.2639e+09 -2.7565e+16  3e+16  5e-15  1e-03\n",
      " 9:  1.2639e+09 -2.7566e+14  3e+14  2e-16  2e-05\n",
      "10:  1.2638e+09 -2.7641e+12  3e+12  1e-16  2e-07\n",
      "11:  1.2594e+09 -3.5151e+10  4e+10  2e-16  3e-09\n",
      "12:  1.0013e+09 -6.1985e+09  7e+09  1e-16  2e-08\n",
      "13:  1.5364e+08 -2.1450e+09  2e+09  2e-16  3e-11\n",
      "14:  3.8964e+07 -8.1323e+07  1e+08  1e-16  3e-12\n",
      "15:  5.9533e+06 -6.6695e+06  1e+07  2e-16  1e-12\n",
      "16:  8.5448e+05 -9.4990e+05  2e+06  3e-16  3e-13\n",
      "17:  1.2225e+05 -1.3577e+05  3e+05  2e-16  1e-13\n",
      "18:  1.7409e+04 -1.9542e+04  4e+04  2e-16  8e-14\n",
      "19:  2.4506e+03 -2.8428e+03  5e+03  2e-16  2e-14\n",
      "20:  3.3375e+02 -4.2438e+02  8e+02  2e-16  1e-14\n",
      "21:  4.0556e+01 -6.7742e+01  1e+02  1e-16  1e-15\n",
      "22:  2.3380e+00 -1.2846e+01  2e+01  2e-16  8e-16\n",
      "23: -1.8248e+00 -3.6920e+00  2e+00  1e-16  4e-16\n",
      "24: -2.1316e+00 -2.4172e+00  3e-01  1e-16  9e-17\n",
      "25: -2.1960e+00 -2.2378e+00  4e-02  1e-16  8e-17\n",
      "26: -2.2009e+00 -2.2037e+00  3e-03  2e-16  8e-17\n",
      "27: -2.2010e+00 -2.2011e+00  7e-05  3e-16  9e-17\n",
      "28: -2.2010e+00 -2.2010e+00  7e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  5.6038e+01 -1.6248e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.3368e+02 -3.1765e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.1927e+01 -1.3584e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.0839e+01 -3.7833e+07  8e+03  1e+00  1e+00\n",
      " 5:  3.0825e+01 -2.1543e+08  4e+04  1e+00  1e+00\n",
      " 6:  4.2531e+01 -7.1791e+09  1e+06  1e+00  1e+00\n",
      " 7:  3.1394e+01 -1.4298e+13  4e+09  1e+00  1e+00\n",
      " 8:  9.7121e+08 -1.7828e+20  2e+20  2e-13  8e-01\n",
      " 9:  9.7121e+08 -1.7828e+18  2e+18  2e-15  7e-02\n",
      "10:  9.7121e+08 -1.7828e+16  2e+16  2e-16  8e-04\n",
      "11:  9.7121e+08 -1.7828e+14  2e+14  2e-16  1e-05\n",
      "12:  9.7115e+08 -1.7900e+12  2e+12  2e-16  1e-07\n",
      "13:  9.6562e+08 -2.5088e+10  3e+10  2e-16  6e-09\n",
      "14:  7.4981e+08 -6.2896e+09  7e+09  1e-16  8e-08\n",
      "15:  2.7614e+08 -4.1867e+09  4e+09  1e-16  2e-08\n",
      "16:  8.2054e+07 -2.2461e+08  3e+08  2e-16  1e-09\n",
      "17:  1.2738e+07 -1.4738e+07  3e+07  2e-16  2e-11\n",
      "18:  1.8313e+06 -2.0450e+06  4e+06  2e-16  5e-13\n",
      "19:  2.6239e+05 -2.9129e+05  6e+05  9e-17  1e-13\n",
      "20:  3.7456e+04 -4.1794e+04  8e+04  1e-16  1e-13\n",
      "21:  5.3058e+03 -6.0454e+03  1e+04  2e-16  4e-14\n",
      "22:  7.3601e+02 -8.9000e+02  2e+03  2e-16  1e-14\n",
      "23:  9.5596e+01 -1.3706e+02  2e+02  2e-16  5e-15\n",
      "24:  9.2692e+00 -2.3735e+01  3e+01  2e-16  1e-15\n",
      "25: -1.1283e+00 -5.5366e+00  4e+00  2e-16  6e-16\n",
      "26: -2.0411e+00 -2.5980e+00  6e-01  2e-16  2e-16\n",
      "27: -2.1847e+00 -2.3382e+00  2e-01  2e-16  9e-17\n",
      "28: -2.2004e+00 -2.2140e+00  1e-02  2e-16  8e-17\n",
      "29: -2.2015e+00 -2.2021e+00  6e-04  3e-16  5e-17\n",
      "30: -2.2015e+00 -2.2015e+00  9e-06  1e-16  1e-16\n",
      "31: -2.2015e+00 -2.2015e+00  9e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  INQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  3.9668e+01 -4.7629e+05  9e+01  1e+00  1e+00\n",
      " 2:  3.1760e+00 -2.0407e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.2364e+01 -1.2096e+08  2e+04  1e+00  1e+00\n",
      " 4:  3.7900e+01 -2.8195e+11  8e+07  1e+00  1e+00\n",
      " 5:  4.5923e+05 -3.1803e+18  3e+18  5e-13  6e-03\n",
      " 6:  4.5923e+05 -3.1803e+16  3e+16  5e-15  1e-03\n",
      " 7:  4.5923e+05 -3.1803e+14  3e+14  2e-16  4e-05\n",
      " 8:  4.5923e+05 -3.1803e+12  3e+12  3e-17  5e-07\n",
      " 9:  4.5919e+05 -3.1804e+10  3e+10  9e-17  5e-09\n",
      "10:  4.5530e+05 -3.1930e+08  3e+08  1e-16  4e-11\n",
      "11:  2.5225e+05 -3.8443e+06  4e+06  2e-16  5e-13\n",
      "12:  3.9004e+04 -7.9611e+04  1e+05  2e-16  6e-14\n",
      "13:  5.5412e+03 -6.2407e+03  1e+04  3e-16  1e-14\n",
      "14:  7.6180e+02 -9.4756e+02  2e+03  2e-16  1e-14\n",
      "15:  9.5649e+01 -1.4835e+02  2e+02  1e-16  2e-15\n",
      "16:  7.4120e+00 -2.6974e+01  3e+01  8e-17  0e+00\n",
      "17: -2.7382e+00 -7.1060e+00  4e+00  6e-17  1e-16\n",
      "18: -3.7687e+00 -4.4831e+00  7e-01  6e-17  2e-17\n",
      "19: -3.8264e+00 -3.8637e+00  4e-02  1e-16  6e-17\n",
      "20: -3.8268e+00 -3.8272e+00  4e-04  3e-16  4e-17\n",
      "21: -3.8268e+00 -3.8268e+00  4e-06  3e-17  1e-16\n",
      "22: -3.8268e+00 -3.8268e+00  4e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  6.0751e+01 -8.5638e+05  2e+02  1e+00  1e+00\n",
      " 2:  2.1167e+00 -3.4967e+06  8e+02  1e+00  1e+00\n",
      " 3:  3.8908e+00 -1.0796e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.6949e+00 -5.5972e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.5683e+00 -1.2098e+09  2e+05  1e+00  1e+00\n",
      " 6:  3.5536e+00 -6.2578e+11  1e+08  1e+00  1e+00\n",
      " 7:  1.3153e+09 -1.2640e+19  1e+19  4e-13  2e-02\n",
      " 8:  1.3153e+09 -1.2640e+17  1e+17  4e-15  5e-03\n",
      " 9:  1.3153e+09 -1.2640e+15  1e+15  2e-16  2e-04\n",
      "10:  1.3153e+09 -1.2642e+13  1e+13  2e-16  9e-07\n",
      "11:  1.3150e+09 -1.2865e+11  1e+11  2e-16  1e-08\n",
      "12:  1.2843e+09 -3.4720e+09  5e+09  9e-17  3e-07\n",
      "13:  1.9046e+08 -1.5375e+09  2e+09  8e-17  2e-08\n",
      "14:  5.7362e+07 -8.6782e+07  1e+08  1e-16  1e-09\n",
      "15:  8.4664e+06 -9.4546e+06  2e+07  7e-17  1e-12\n",
      "16:  1.2184e+06 -1.3696e+06  3e+06  5e-17  3e-13\n",
      "17:  1.7441e+05 -1.9431e+05  4e+05  2e-16  1e-13\n",
      "18:  2.4823e+04 -2.7964e+04  5e+04  3e-16  7e-14\n",
      "19:  3.4862e+03 -4.0738e+03  8e+03  2e-16  2e-14\n",
      "20:  4.7129e+02 -6.1124e+02  1e+03  2e-16  8e-15\n",
      "21:  5.5606e+01 -9.8898e+01  2e+02  3e-16  7e-16\n",
      "22:  2.1525e+00 -1.9389e+01  2e+01  2e-16  9e-16\n",
      "23: -3.4411e+00 -5.9840e+00  3e+00  6e-17  2e-16\n",
      "24: -3.9122e+00 -4.2332e+00  3e-01  1e-16  8e-17\n",
      "25: -3.9407e+00 -3.9562e+00  2e-02  2e-16  1e-16\n",
      "26: -3.9410e+00 -3.9412e+00  2e-04  1e-16  7e-17\n",
      "27: -3.9410e+00 -3.9410e+00  2e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  7.4328e+01 -1.2314e+06  2e+02  1e+00  1e+00\n",
      " 2:  7.4441e+01 -2.0795e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.0860e+00 -3.4170e+07  7e+03  1e+00  1e+00\n",
      " 4:  1.0372e+01 -4.2071e+08  8e+04  1e+00  1e+00\n",
      " 5:  2.5302e+01 -7.9685e+10  2e+07  1e+00  1e+00\n",
      " 6:  9.1590e+08 -1.8212e+18  2e+18  6e-13  9e-04\n",
      " 7:  9.1590e+08 -1.8212e+16  2e+16  6e-15  5e-04\n",
      " 8:  9.1590e+08 -1.8212e+14  2e+14  1e-16  1e-05\n",
      " 9:  9.1589e+08 -1.8261e+12  2e+12  4e-17  1e-07\n",
      "10:  9.1407e+08 -2.3159e+10  2e+10  2e-16  2e-09\n",
      "11:  8.1327e+08 -4.7256e+09  6e+09  2e-16  3e-09\n",
      "12:  1.1597e+08 -5.1501e+09  5e+09  8e-17  2e-09\n",
      "13:  4.9799e+07 -2.2036e+08  3e+08  3e-16  9e-11\n",
      "14:  8.0295e+06 -1.0899e+07  2e+07  2e-16  3e-12\n",
      "15:  1.1514e+06 -1.2677e+06  2e+06  1e-16  3e-13\n",
      "16:  1.6479e+05 -1.8397e+05  3e+05  2e-16  7e-14\n",
      "17:  2.3438e+04 -2.6436e+04  5e+04  3e-16  2e-14\n",
      "18:  3.2866e+03 -3.8575e+03  7e+03  1e-16  1e-14\n",
      "19:  4.4218e+02 -5.8075e+02  1e+03  2e-16  5e-15\n",
      "20:  5.1163e+01 -9.4774e+01  1e+02  1e-16  2e-15\n",
      "21:  1.3192e+00 -1.8967e+01  2e+01  2e-16  7e-16\n",
      "22: -3.7193e+00 -6.0761e+00  2e+00  2e-16  1e-16\n",
      "23: -3.9969e+00 -4.2884e+00  3e-01  9e-17  1e-16\n",
      "24: -4.0148e+00 -4.0273e+00  1e-02  2e-16  2e-16\n",
      "25: -4.0150e+00 -4.0151e+00  2e-04  1e-16  1e-16\n",
      "26: -4.0150e+00 -4.0150e+00  2e-06  9e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.2641e+01 -1.5517e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0048e+02 -2.6299e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.2702e+01 -1.1726e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.1243e+01 -7.9666e+07  2e+04  1e+00  1e+00\n",
      " 5:  6.3374e+01 -8.3514e+09  2e+06  1e+00  1e+00\n",
      " 6:  4.1550e+08 -1.9875e+17  2e+17  4e-13  1e-04\n",
      " 7:  4.1550e+08 -1.9875e+15  2e+15  4e-15  7e-05\n",
      " 8:  4.1550e+08 -1.9879e+13  2e+13  4e-16  2e-06\n",
      " 9:  4.1537e+08 -2.0297e+11  2e+11  2e-16  2e-08\n",
      "10:  4.0286e+08 -6.0761e+09  6e+09  1e-16  7e-10\n",
      "11:  9.2939e+07 -7.3327e+08  8e+08  2e-16  2e-10\n",
      "12:  2.0691e+07 -4.1222e+07  6e+07  2e-16  8e-12\n",
      "13:  3.0021e+06 -3.2465e+06  6e+06  1e-16  5e-13\n",
      "14:  4.3102e+05 -4.8469e+05  9e+05  1e-16  2e-13\n",
      "15:  6.1523e+04 -6.8892e+04  1e+05  2e-16  1e-13\n",
      "16:  8.7028e+03 -9.9729e+03  2e+04  1e-16  5e-14\n",
      "17:  1.2017e+03 -1.4729e+03  3e+03  6e-17  9e-15\n",
      "18:  1.5364e+02 -2.2892e+02  4e+02  2e-16  3e-15\n",
      "19:  1.3653e+01 -4.0529e+01  5e+01  2e-16  1e-15\n",
      "20: -2.7033e+00 -9.8618e+00  7e+00  2e-16  3e-16\n",
      "21: -3.9602e+00 -4.7535e+00  8e-01  2e-16  2e-16\n",
      "22: -4.0450e+00 -4.1201e+00  8e-02  2e-16  2e-16\n",
      "23: -4.0457e+00 -4.0466e+00  9e-04  1e-16  7e-17\n",
      "24: -4.0457e+00 -4.0457e+00  9e-06  3e-16  1e-16\n",
      "25: -4.0457e+00 -4.0457e+00  9e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.4570e+01 -1.8587e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.4921e+02 -3.0856e+06  6e+02  1e+00  1e+00\n",
      " 3:  3.2180e+01 -1.3043e+07  3e+03  1e+00  1e+00\n",
      " 4:  6.9242e+01 -5.7262e+07  1e+04  1e+00  1e+00\n",
      " 5:  8.6398e+01 -2.2766e+09  5e+05  1e+00  1e+00\n",
      " 6:  4.6824e+01 -2.8147e+13  2e+10  1e+00  1e+00\n",
      " 7:  4.1275e+08 -5.6089e+19  6e+19  1e-13  3e-02\n",
      " 8:  4.1275e+08 -5.6089e+17  6e+17  8e-16  1e-02\n",
      " 9:  4.1275e+08 -5.6089e+15  6e+15  1e-16  2e-04\n",
      "10:  4.1275e+08 -5.6094e+13  6e+13  2e-16  3e-06\n",
      "11:  4.1268e+08 -5.6545e+11  6e+11  3e-16  3e-08\n",
      "12:  4.0609e+08 -1.0099e+10  1e+10  2e-16  7e-10\n",
      "13:  1.8116e+08 -1.4110e+09  2e+09  1e-16  9e-10\n",
      "14:  3.1446e+07 -5.8401e+07  9e+07  1e-16  4e-12\n",
      "15:  4.7302e+06 -5.3611e+06  1e+07  1e-16  7e-13\n",
      "16:  6.7942e+05 -7.6196e+05  1e+06  8e-17  2e-13\n",
      "17:  9.7114e+04 -1.0851e+05  2e+05  3e-16  5e-14\n",
      "18:  1.3781e+04 -1.5652e+04  3e+04  1e-16  5e-14\n",
      "19:  1.9198e+03 -2.2954e+03  4e+03  2e-16  9e-15\n",
      "20:  2.5294e+02 -3.5035e+02  6e+02  2e-16  3e-15\n",
      "21:  2.6572e+01 -5.9244e+01  9e+01  1e-16  2e-15\n",
      "22: -1.2555e+00 -1.2944e+01  1e+01  7e-17  4e-16\n",
      "23: -3.7496e+00 -5.4223e+00  2e+00  1e-16  2e-16\n",
      "24: -4.0667e+00 -4.5012e+00  4e-01  2e-16  2e-16\n",
      "25: -4.0819e+00 -4.1027e+00  2e-02  1e-16  2e-16\n",
      "26: -4.0821e+00 -4.0823e+00  2e-04  9e-17  1e-16\n",
      "27: -4.0821e+00 -4.0821e+00  2e-06  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.7825e+01 -2.2247e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.8441e+02 -3.8098e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.5973e+02 -8.5687e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.7838e+01 -2.1791e+08  4e+04  1e+00  1e+00\n",
      " 5:  6.0455e+01 -6.3242e+09  1e+06  1e+00  1e+00\n",
      " 6:  6.3873e+01 -1.5695e+13  5e+09  1e+00  1e+00\n",
      " 7:  1.0155e+09 -1.6922e+20  2e+20  2e-13  4e-02\n",
      " 8:  1.0155e+09 -1.6922e+18  2e+18  2e-15  6e-02\n",
      " 9:  1.0155e+09 -1.6922e+16  2e+16  2e-16  4e-04\n",
      "10:  1.0155e+09 -1.6924e+14  2e+14  2e-16  6e-06\n",
      "11:  1.0155e+09 -1.7046e+12  2e+12  2e-16  6e-08\n",
      "12:  1.0115e+09 -2.9294e+10  3e+10  2e-16  9e-10\n",
      "13:  8.6923e+08 -9.7335e+09  1e+10  3e-16  5e-09\n",
      "14:  2.5628e+08 -6.0824e+09  6e+09  3e-16  2e-09\n",
      "15:  8.3686e+07 -2.1572e+08  3e+08  2e-16  6e-11\n",
      "16:  1.2790e+07 -1.4451e+07  3e+07  2e-16  1e-12\n",
      "17:  1.8366e+06 -2.0483e+06  4e+06  2e-16  3e-13\n",
      "18:  2.6285e+05 -2.9209e+05  6e+05  1e-16  1e-13\n",
      "19:  3.7442e+04 -4.2017e+04  8e+04  3e-16  4e-14\n",
      "20:  5.2741e+03 -6.1079e+03  1e+04  2e-16  2e-14\n",
      "21:  7.1969e+02 -9.1048e+02  2e+03  1e-16  7e-15\n",
      "22:  8.8170e+01 -1.4478e+02  2e+02  2e-16  3e-15\n",
      "23:  5.6093e+00 -2.7141e+01  3e+01  2e-16  1e-15\n",
      "24: -3.4117e+00 -7.5215e+00  4e+00  2e-16  4e-16\n",
      "25: -3.9738e+00 -4.7410e+00  8e-01  1e-16  1e-16\n",
      "26: -4.0912e+00 -4.3263e+00  2e-01  2e-16  6e-17\n",
      "27: -4.0967e+00 -4.1021e+00  5e-03  2e-16  2e-16\n",
      "28: -4.0967e+00 -4.0968e+00  6e-05  2e-16  1e-16\n",
      "29: -4.0967e+00 -4.0967e+00  6e-07  1e-16  7e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.2714e+01 -2.5967e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.2268e+02 -4.6524e+06  9e+02  1e+00  1e+00\n",
      " 3:  2.0020e+02 -8.8808e+06  2e+03  1e+00  1e+00\n",
      " 4:  7.0492e+01 -5.7775e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.3244e+02 -7.4658e+08  2e+05  1e+00  1e+00\n",
      " 6:  1.5210e+02 -4.0931e+11  9e+07  1e+00  1e+00\n",
      " 7:  7.7582e+08 -8.2049e+18  8e+18  5e-13  2e-03\n",
      " 8:  7.7582e+08 -8.2049e+16  8e+16  5e-15  1e-03\n",
      " 9:  7.7582e+08 -8.2051e+14  8e+14  2e-16  3e-05\n",
      "10:  7.7581e+08 -8.2207e+12  8e+12  2e-16  4e-07\n",
      "11:  7.7478e+08 -9.7860e+10  1e+11  2e-16  5e-09\n",
      "12:  7.0303e+08 -1.4965e+10  2e+10  1e-16  7e-10\n",
      "13:  2.0381e+08 -9.8474e+09  1e+10  2e-16  3e-10\n",
      "14:  8.2855e+07 -2.7731e+08  4e+08  2e-16  1e-11\n",
      "15:  1.3061e+07 -1.5647e+07  3e+07  3e-16  2e-12\n",
      "16:  1.8737e+06 -2.0712e+06  4e+06  2e-16  5e-13\n",
      "17:  2.6814e+05 -2.9803e+05  6e+05  2e-16  1e-13\n",
      "18:  3.8192e+04 -4.2849e+04  8e+04  2e-16  6e-14\n",
      "19:  5.3795e+03 -6.2302e+03  1e+04  1e-16  3e-14\n",
      "20:  7.3397e+02 -9.2882e+02  2e+03  1e-16  4e-15\n",
      "21:  8.9893e+01 -1.4772e+02  2e+02  2e-16  2e-15\n",
      "22:  5.7120e+00 -2.7700e+01  3e+01  1e-16  1e-15\n",
      "23: -3.4701e+00 -7.6691e+00  4e+00  2e-16  3e-16\n",
      "24: -4.0143e+00 -4.7901e+00  8e-01  2e-16  9e-17\n",
      "25: -4.1051e+00 -4.4775e+00  4e-01  2e-16  1e-16\n",
      "26: -4.1122e+00 -4.1317e+00  2e-02  2e-16  1e-16\n",
      "27: -4.1123e+00 -4.1125e+00  2e-04  1e-16  6e-17\n",
      "28: -4.1123e+00 -4.1123e+00  2e-06  3e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.7205e+01 -3.0140e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.6361e+02 -5.6333e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.8257e+02 -9.5981e+06  2e+03  1e+00  1e+00\n",
      " 4:  9.0415e+01 -3.9255e+07  8e+03  1e+00  1e+00\n",
      " 5:  1.8815e+02 -3.1673e+08  6e+04  1e+00  1e+00\n",
      " 6:  1.9863e+02 -1.0198e+11  2e+07  1e+00  1e+00\n",
      " 7:  9.0570e+08 -2.2295e+18  2e+18  6e-13  8e-04\n",
      " 8:  9.0570e+08 -2.2295e+16  2e+16  6e-15  3e-04\n",
      " 9:  9.0570e+08 -2.2297e+14  2e+14  1e-16  5e-06\n",
      "10:  9.0564e+08 -2.2477e+12  2e+12  1e-16  8e-08\n",
      "11:  8.9946e+08 -4.0396e+10  4e+10  3e-16  1e-09\n",
      "12:  6.7081e+08 -1.0301e+10  1e+10  2e-16  5e-10\n",
      "13:  1.9188e+08 -1.5188e+09  2e+09  2e-16  8e-12\n",
      "14:  3.7009e+07 -5.7807e+07  9e+07  2e-16  1e-12\n",
      "15:  5.3302e+06 -5.7183e+06  1e+07  2e-16  9e-13\n",
      "16:  7.6421e+05 -8.5124e+05  2e+06  2e-16  3e-13\n",
      "17:  1.0914e+05 -1.2153e+05  2e+05  2e-16  1e-13\n",
      "18:  1.5483e+04 -1.7565e+04  3e+04  2e-16  4e-14\n",
      "19:  2.1571e+03 -2.5772e+03  5e+03  2e-16  1e-14\n",
      "20:  2.8443e+02 -3.9329e+02  7e+02  2e-16  4e-15\n",
      "21:  3.0051e+01 -6.6409e+01  1e+02  1e-16  2e-15\n",
      "22: -1.2310e+00 -1.4418e+01  1e+01  3e-16  5e-16\n",
      "23: -4.0230e+00 -5.3925e+00  1e+00  1e-16  1e-16\n",
      "24: -4.1164e+00 -4.2053e+00  9e-02  2e-16  1e-16\n",
      "25: -4.1207e+00 -4.1247e+00  4e-03  2e-16  8e-17\n",
      "26: -4.1208e+00 -4.1208e+00  4e-05  9e-17  6e-17\n",
      "27: -4.1208e+00 -4.1208e+00  4e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.0225e+02 -3.4451e+06  5e+02  1e+00  1e+00\n",
      " 2:  3.0804e+02 -6.7243e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.5286e+02 -1.0601e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.2792e+01 -5.8260e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.3354e+02 -3.5394e+08  7e+04  1e+00  1e+00\n",
      " 6:  2.5326e+02 -2.5191e+10  5e+06  1e+00  1e+00\n",
      " 7:  1.1744e+09 -6.0706e+17  6e+17  5e-13  2e-04\n",
      " 8:  1.1744e+09 -6.0706e+15  6e+15  5e-15  7e-05\n",
      " 9:  1.1744e+09 -6.0723e+13  6e+13  2e-16  1e-06\n",
      "10:  1.1740e+09 -6.2356e+11  6e+11  1e-16  2e-08\n",
      "11:  1.1314e+09 -2.2217e+10  2e+10  2e-16  7e-10\n",
      "12:  4.6121e+08 -5.8629e+09  6e+09  2e-16  4e-09\n",
      "13:  1.1244e+08 -2.1075e+08  3e+08  2e-16  1e-10\n",
      "14:  1.6958e+07 -1.8708e+07  4e+07  2e-16  2e-12\n",
      "15:  2.4338e+06 -2.7048e+06  5e+06  2e-16  4e-13\n",
      "16:  3.4827e+05 -3.8617e+05  7e+05  2e-16  2e-13\n",
      "17:  4.9636e+04 -5.5560e+04  1e+05  1e-16  4e-14\n",
      "18:  7.0046e+03 -8.0658e+03  2e+04  3e-16  3e-14\n",
      "19:  9.6128e+02 -1.1974e+03  2e+03  2e-16  7e-15\n",
      "20:  1.2033e+02 -1.8834e+02  3e+02  2e-16  2e-15\n",
      "21:  9.2452e+00 -3.4335e+01  4e+01  2e-16  8e-16\n",
      "22: -3.2786e+00 -8.9128e+00  6e+00  2e-16  3e-16\n",
      "23: -4.1113e+00 -4.5171e+00  4e-01  2e-16  1e-16\n",
      "24: -4.1282e+00 -4.1607e+00  3e-02  2e-16  7e-17\n",
      "25: -4.1295e+00 -4.1306e+00  1e-03  2e-16  8e-17\n",
      "26: -4.1295e+00 -4.1295e+00  1e-05  2e-16  8e-17\n",
      "27: -4.1295e+00 -4.1295e+00  1e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "processing  KIQ_U_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  3.8908e+01 -4.5650e+05  9e+01  1e+00  1e+00\n",
      " 2:  1.7490e+00 -2.0266e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.1970e+01 -8.1561e+07  2e+04  1e+00  1e+00\n",
      " 4:  3.8576e+01 -2.6620e+10  6e+06  1e+00  1e+00\n",
      " 5:  1.3644e+05 -5.7620e+17  6e+17  6e-13  3e-04\n",
      " 6:  1.3644e+05 -5.7620e+15  6e+15  6e-15  2e-04\n",
      " 7:  1.3644e+05 -5.7620e+13  6e+13  2e-16  6e-06\n",
      " 8:  1.3644e+05 -5.7620e+11  6e+11  4e-16  5e-08\n",
      " 9:  1.3641e+05 -5.7623e+09  6e+09  6e-17  3e-10\n",
      "10:  1.3322e+05 -5.7863e+07  6e+07  2e-16  2e-12\n",
      "11:  4.6192e+04 -6.4513e+05  7e+05  1e-16  5e-14\n",
      "12:  6.8276e+03 -1.3217e+04  2e+04  2e-16  3e-14\n",
      "13:  9.3751e+02 -1.1228e+03  2e+03  3e-16  9e-15\n",
      "14:  1.1830e+02 -1.8208e+02  3e+02  3e-16  3e-15\n",
      "15:  9.3142e+00 -3.2915e+01  4e+01  8e-17  4e-16\n",
      "16: -3.3769e+00 -8.7522e+00  5e+00  2e-16  3e-16\n",
      "17: -4.5507e+00 -5.1288e+00  6e-01  8e-17  2e-16\n",
      "18: -4.6612e+00 -4.7190e+00  6e-02  8e-17  2e-16\n",
      "19: -4.6638e+00 -4.6648e+00  1e-03  3e-16  6e-17\n",
      "20: -4.6638e+00 -4.6638e+00  1e-05  1e-16  5e-17\n",
      "21: -4.6638e+00 -4.6638e+00  1e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  5.5289e+01 -7.9259e+05  2e+02  1e+00  1e+00\n",
      " 2:  1.1138e+01 -3.2083e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.7449e+01 -1.1260e+07  2e+03  1e+00  1e+00\n",
      " 4:  2.7894e+01 -1.5082e+08  3e+04  1e+00  1e+00\n",
      " 5:  5.9579e+01 -1.0765e+11  2e+07  1e+00  1e+00\n",
      " 6:  6.5281e+06 -2.0370e+18  2e+18  4e-13  3e-02\n",
      " 7:  6.5281e+06 -2.0370e+16  2e+16  4e-15  3e-04\n",
      " 8:  6.5281e+06 -2.0370e+14  2e+14  9e-17  3e-06\n",
      " 9:  6.5281e+06 -2.0370e+12  2e+12  8e-17  5e-08\n",
      "10:  6.5246e+06 -2.0387e+10  2e+10  2e-16  1e-09\n",
      "11:  6.1969e+06 -2.2033e+08  2e+08  2e-16  2e-11\n",
      "12:  1.5545e+06 -4.8413e+06  6e+06  1e-16  3e-10\n",
      "13:  2.3194e+05 -2.7329e+05  5e+05  1e-16  4e-12\n",
      "14:  3.3063e+04 -3.6869e+04  7e+04  3e-16  3e-14\n",
      "15:  4.6714e+03 -5.3716e+03  1e+04  2e-16  3e-14\n",
      "16:  6.4223e+02 -7.9533e+02  1e+03  2e-16  1e-14\n",
      "17:  8.0628e+01 -1.2471e+02  2e+02  2e-16  1e-15\n",
      "18:  6.0362e+00 -2.2764e+01  3e+01  2e-16  9e-16\n",
      "19: -2.2068e+00 -9.6521e+00  7e+00  2e-16  3e-16\n",
      "20: -4.4822e+00 -6.2134e+00  2e+00  2e-16  9e-17\n",
      "21: -4.6972e+00 -4.8466e+00  1e-01  4e-16  1e-16\n",
      "22: -4.7080e+00 -4.7125e+00  5e-03  3e-16  1e-16\n",
      "23: -4.7080e+00 -4.7080e+00  5e-05  1e-16  1e-16\n",
      "24: -4.7080e+00 -4.7080e+00  5e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  6.5119e+01 -1.0847e+06  2e+02  1e+00  1e+00\n",
      " 2:  5.6421e+01 -1.9915e+06  4e+02  1e+00  1e+00\n",
      " 3:  4.6092e+01 -2.8147e+07  6e+03  1e+00  1e+00\n",
      " 4:  9.0772e+01 -1.5411e+09  3e+05  1e+00  1e+00\n",
      " 5:  1.4583e+08 -3.7350e+16  4e+16  1e-13  1e-05\n",
      " 6:  1.4583e+08 -3.7350e+14  4e+14  1e-15  1e-05\n",
      " 7:  1.4583e+08 -3.7363e+12  4e+12  1e-16  2e-07\n",
      " 8:  1.4552e+08 -3.8663e+10  4e+10  2e-16  4e-09\n",
      " 9:  1.2032e+08 -1.4481e+09  2e+09  2e-16  2e-10\n",
      "10:  2.0984e+07 -3.7825e+07  6e+07  2e-16  2e-12\n",
      "11:  3.0586e+06 -3.3624e+06  6e+06  2e-16  4e-13\n",
      "12:  4.3920e+05 -4.9471e+05  9e+05  2e-16  3e-13\n",
      "13:  6.2677e+04 -7.0331e+04  1e+05  2e-16  7e-14\n",
      "14:  8.8559e+03 -1.0188e+04  2e+04  3e-16  1e-14\n",
      "15:  1.2184e+03 -1.5087e+03  3e+03  3e-16  7e-15\n",
      "16:  1.5381e+02 -2.3618e+02  4e+02  1e-16  4e-15\n",
      "17:  1.2558e+01 -4.2574e+01  6e+01  2e-16  2e-15\n",
      "18: -3.5883e+00 -1.0781e+01  7e+00  1e-16  2e-16\n",
      "19: -4.7191e+00 -5.3200e+00  6e-01  3e-16  2e-16\n",
      "20: -4.7411e+00 -4.7499e+00  9e-03  3e-16  1e-16\n",
      "21: -4.7412e+00 -4.7412e+00  9e-05  3e-16  1e-16\n",
      "22: -4.7412e+00 -4.7412e+00  9e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  7.4037e+01 -1.4170e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.0608e+02 -2.4136e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.6691e+01 -1.3659e+07  3e+03  1e+00  1e+00\n",
      " 4:  5.1415e+01 -1.2544e+08  3e+04  1e+00  1e+00\n",
      " 5:  5.9165e+01 -1.9440e+10  4e+06  1e+00  1e+00\n",
      " 6:  4.1920e+08 -4.5308e+17  5e+17  5e-13  2e-04\n",
      " 7:  4.1920e+08 -4.5308e+15  5e+15  5e-15  8e-05\n",
      " 8:  4.1920e+08 -4.5313e+13  5e+13  2e-16  1e-06\n",
      " 9:  4.1912e+08 -4.5828e+11  5e+11  1e-16  1e-08\n",
      "10:  4.1127e+08 -9.6285e+09  1e+10  1e-16  2e-10\n",
      "11:  1.3050e+08 -5.4823e+08  7e+08  1e-16  3e-09\n",
      "12:  2.0877e+07 -2.7691e+07  5e+07  1e-16  5e-12\n",
      "13:  3.0292e+06 -3.4225e+06  6e+06  2e-16  3e-13\n",
      "14:  4.3467e+05 -4.8717e+05  9e+05  4e-16  3e-13\n",
      "15:  6.2019e+04 -6.9601e+04  1e+05  2e-16  1e-13\n",
      "16:  8.7606e+03 -1.0082e+04  2e+04  2e-16  4e-14\n",
      "17:  1.2046e+03 -1.4938e+03  3e+03  1e-16  8e-15\n",
      "18:  1.5180e+02 -2.3408e+02  4e+02  3e-16  3e-15\n",
      "19:  1.2248e+01 -4.2293e+01  5e+01  2e-16  1e-15\n",
      "20: -3.6545e+00 -1.0760e+01  7e+00  8e-17  4e-16\n",
      "21: -4.7504e+00 -5.2885e+00  5e-01  2e-16  2e-16\n",
      "22: -4.7686e+00 -4.8014e+00  3e-02  2e-16  5e-17\n",
      "23: -4.7692e+00 -4.7697e+00  5e-04  3e-16  1e-16\n",
      "24: -4.7692e+00 -4.7692e+00  5e-06  1e-16  7e-17\n",
      "25: -4.7692e+00 -4.7692e+00  5e-08  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.3127e+01 -1.7901e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2668e+02 -2.7107e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.0039e+02 -7.2745e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.2673e+02 -7.4297e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.4861e+01 -2.5962e+10  6e+06  1e+00  1e+00\n",
      " 6:  1.8225e+09 -5.6192e+17  6e+17  5e-13  3e-04\n",
      " 7:  1.8225e+09 -5.6193e+15  6e+15  5e-15  1e-04\n",
      " 8:  1.8225e+09 -5.6217e+13  6e+13  2e-16  2e-06\n",
      " 9:  1.8221e+09 -5.8651e+11  6e+11  2e-16  3e-08\n",
      "10:  1.7863e+09 -2.9853e+10  3e+10  2e-16  2e-09\n",
      "11:  4.3861e+08 -2.5603e+10  3e+10  2e-16  1e-09\n",
      "12:  2.8928e+08 -1.0781e+09  1e+09  2e-16  4e-11\n",
      "13:  5.0956e+07 -6.8027e+07  1e+08  1e-16  2e-12\n",
      "14:  7.3718e+06 -8.2473e+06  2e+07  2e-16  1e-12\n",
      "15:  1.0584e+06 -1.1807e+06  2e+06  2e-16  3e-13\n",
      "16:  1.5132e+05 -1.6859e+05  3e+05  2e-16  1e-13\n",
      "17:  2.1500e+04 -2.4310e+04  5e+04  2e-16  4e-14\n",
      "18:  3.0068e+03 -3.5549e+03  7e+03  2e-16  1e-14\n",
      "19:  4.0126e+02 -5.3819e+02  9e+02  3e-16  6e-15\n",
      "20:  4.4824e+01 -8.9077e+01  1e+02  2e-16  1e-15\n",
      "21:  4.5255e-02 -1.8445e+01  2e+01  2e-16  5e-16\n",
      "22: -4.2738e+00 -6.3238e+00  2e+00  2e-16  3e-16\n",
      "23: -4.7539e+00 -5.7463e+00  1e+00  3e-16  1e-16\n",
      "24: -4.7900e+00 -4.8467e+00  6e-02  1e-16  1e-16\n",
      "25: -4.7922e+00 -4.7936e+00  1e-03  1e-16  9e-17\n",
      "26: -4.7922e+00 -4.7922e+00  1e-05  2e-16  4e-17\n",
      "27: -4.7922e+00 -4.7922e+00  1e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.8389e+01 -2.1211e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.5165e+02 -3.2340e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.3755e+02 -8.2761e+06  2e+03  1e+00  1e+00\n",
      " 4:  8.1011e+01 -1.5451e+08  3e+04  1e+00  1e+00\n",
      " 5:  1.7200e+02 -9.6334e+09  2e+06  1e+00  1e+00\n",
      " 6:  3.5476e+08 -2.3216e+17  2e+17  6e-13  1e-04\n",
      " 7:  3.5476e+08 -2.3216e+15  2e+15  7e-15  6e-05\n",
      " 8:  3.5476e+08 -2.3217e+13  2e+13  1e-16  8e-07\n",
      " 9:  3.5453e+08 -2.3315e+11  2e+11  2e-16  7e-09\n",
      "10:  3.3263e+08 -3.2385e+09  4e+09  2e-16  1e-10\n",
      "11:  8.4563e+07 -1.5443e+08  2e+08  2e-16  6e-12\n",
      "12:  1.2438e+07 -1.3535e+07  3e+07  2e-16  7e-13\n",
      "13:  1.7870e+06 -2.0012e+06  4e+06  2e-16  6e-13\n",
      "14:  2.5571e+05 -2.8416e+05  5e+05  2e-16  1e-13\n",
      "15:  3.6412e+04 -4.0909e+04  8e+04  2e-16  7e-14\n",
      "16:  5.1237e+03 -5.9517e+03  1e+04  2e-16  1e-14\n",
      "17:  6.9691e+02 -8.8925e+02  2e+03  2e-16  8e-15\n",
      "18:  8.4300e+01 -1.4226e+02  2e+02  2e-16  4e-15\n",
      "19:  4.6591e+00 -2.7100e+01  3e+01  1e-16  1e-15\n",
      "20: -3.9200e+00 -7.8220e+00  4e+00  1e-16  2e-16\n",
      "21: -4.4710e+00 -5.9323e+00  1e+00  2e-16  2e-16\n",
      "22: -4.7830e+00 -5.3124e+00  5e-01  2e-16  1e-16\n",
      "23: -4.7989e+00 -4.8239e+00  3e-02  1e-16  5e-17\n",
      "24: -4.7992e+00 -4.7996e+00  3e-04  2e-16  8e-17\n",
      "25: -4.7992e+00 -4.7993e+00  3e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.2201e+01 -2.4686e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.8674e+02 -4.0050e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.8538e+02 -1.0075e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.5909e+01 -1.4153e+08  3e+04  1e+00  1e+00\n",
      " 5:  1.2266e+02 -4.1588e+09  8e+05  1e+00  1e+00\n",
      " 6:  5.3764e+01 -2.2181e+13  9e+09  1e+00  1e+00\n",
      " 7:  7.3706e+08 -1.2559e+20  1e+20  2e-13  7e-02\n",
      " 8:  7.3706e+08 -1.2559e+18  1e+18  2e-15  2e-02\n",
      " 9:  7.3706e+08 -1.2559e+16  1e+16  2e-16  3e-04\n",
      "10:  7.3706e+08 -1.2561e+14  1e+14  2e-16  3e-06\n",
      "11:  7.3698e+08 -1.2725e+12  1e+12  2e-16  5e-08\n",
      "12:  7.2852e+08 -2.8913e+10  3e+10  2e-16  9e-10\n",
      "13:  3.3581e+08 -2.9171e+09  3e+09  1e-16  4e-10\n",
      "14:  7.2535e+07 -1.3681e+08  2e+08  3e-16  1e-11\n",
      "15:  1.0596e+07 -1.1681e+07  2e+07  2e-16  9e-13\n",
      "16:  1.5237e+06 -1.7134e+06  3e+06  2e-16  3e-13\n",
      "17:  2.1801e+05 -2.4291e+05  5e+05  2e-16  1e-13\n",
      "18:  3.1016e+04 -3.4966e+04  7e+04  1e-16  5e-14\n",
      "19:  4.3529e+03 -5.0969e+03  9e+03  2e-16  2e-14\n",
      "20:  5.8729e+02 -7.6588e+02  1e+03  2e-16  9e-15\n",
      "21:  6.8783e+01 -1.2435e+02  2e+02  1e-16  2e-15\n",
      "22:  2.3692e+00 -2.4558e+01  3e+01  2e-16  1e-15\n",
      "23: -4.4303e+00 -7.6214e+00  3e+00  2e-16  3e-16\n",
      "24: -4.7881e+00 -5.0732e+00  3e-01  2e-16  1e-16\n",
      "25: -4.8066e+00 -4.8297e+00  2e-02  2e-16  5e-17\n",
      "26: -4.8073e+00 -4.8078e+00  5e-04  2e-16  7e-17\n",
      "27: -4.8073e+00 -4.8073e+00  5e-06  2e-16  1e-16\n",
      "28: -4.8073e+00 -4.8073e+00  5e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.1449e+01 -2.7836e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.1337e+02 -4.7908e+06  8e+02  1e+00  1e+00\n",
      " 3:  2.9012e+02 -8.6269e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.0254e+01 -6.8034e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.2364e+02 -6.4875e+08  1e+05  1e+00  1e+00\n",
      " 6:  1.8706e+02 -1.3098e+11  3e+07  1e+00  1e+00\n",
      " 7:  8.4665e+08 -2.9924e+18  3e+18  3e-13  9e-04\n",
      " 8:  8.4665e+08 -2.9924e+16  3e+16  3e-15  5e-04\n",
      " 9:  8.4665e+08 -2.9926e+14  3e+14  2e-16  8e-06\n",
      "10:  8.4658e+08 -3.0188e+12  3e+12  2e-16  1e-07\n",
      "11:  8.4022e+08 -5.6153e+10  6e+10  3e-16  2e-09\n",
      "12:  5.1068e+08 -5.7991e+09  6e+09  2e-16  9e-10\n",
      "13:  1.1255e+08 -3.1134e+08  4e+08  3e-16  2e-12\n",
      "14:  1.8227e+07 -2.2712e+07  4e+07  2e-16  1e-12\n",
      "15:  2.6202e+06 -2.9087e+06  6e+06  2e-16  4e-13\n",
      "16:  3.7527e+05 -4.1791e+05  8e+05  2e-16  2e-13\n",
      "17:  5.3491e+04 -5.9959e+04  1e+05  2e-16  6e-14\n",
      "18:  7.5470e+03 -8.7024e+03  2e+04  1e-16  2e-14\n",
      "19:  1.0347e+03 -1.2926e+03  2e+03  2e-16  1e-14\n",
      "20:  1.2902e+02 -2.0370e+02  3e+02  2e-16  3e-15\n",
      "21:  9.5857e+00 -3.7339e+01  5e+01  2e-16  1e-15\n",
      "22: -3.8323e+00 -9.8493e+00  6e+00  2e-16  4e-16\n",
      "23: -4.7663e+00 -5.1916e+00  4e-01  1e-16  1e-16\n",
      "24: -4.8116e+00 -4.8498e+00  4e-02  1e-16  6e-17\n",
      "25: -4.8145e+00 -4.8173e+00  3e-03  2e-16  5e-17\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26: -4.8146e+00 -4.8146e+00  4e-05  2e-16  1e-16\n",
      "27: -4.8146e+00 -4.8146e+00  4e-07  3e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  9.2070e+01 -3.1269e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.3901e+02 -5.6213e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.4336e+02 -8.8062e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.2474e+02 -2.5756e+07  5e+03  1e+00  1e+00\n",
      " 5:  3.8542e+02 -6.2848e+08  1e+05  1e+00  1e+00\n",
      " 6:  1.3407e+02 -2.9958e+11  7e+07  1e+00  1e+00\n",
      " 7:  2.3987e+09 -6.1438e+18  6e+18  5e-13  3e-03\n",
      " 8:  2.3987e+09 -6.1438e+16  6e+16  5e-15  1e-03\n",
      " 9:  2.3987e+09 -6.1441e+14  6e+14  2e-16  1e-05\n",
      "10:  2.3985e+09 -6.1757e+12  6e+12  2e-16  1e-07\n",
      "11:  2.3855e+09 -9.3211e+10  1e+11  2e-16  3e-09\n",
      "12:  2.0258e+09 -2.7954e+10  3e+10  1e-16  8e-10\n",
      "13:  7.5997e+08 -2.8896e+10  3e+10  2e-16  7e-10\n",
      "14:  3.5576e+08 -1.8779e+09  2e+09  1e-16  5e-11\n",
      "15:  6.3296e+07 -9.4790e+07  2e+08  2e-16  2e-12\n",
      "16:  9.1456e+06 -1.0077e+07  2e+07  2e-16  1e-12\n",
      "17:  1.3129e+06 -1.4656e+06  3e+06  2e-16  3e-13\n",
      "18:  1.8774e+05 -2.0889e+05  4e+05  2e-16  1e-13\n",
      "19:  2.6695e+04 -3.0104e+04  6e+04  2e-16  4e-14\n",
      "20:  3.7425e+03 -4.3935e+03  8e+03  3e-16  2e-14\n",
      "21:  5.0331e+02 -6.6169e+02  1e+03  2e-16  5e-15\n",
      "22:  5.8129e+01 -1.0807e+02  2e+02  1e-16  2e-15\n",
      "23:  1.4090e+00 -2.1675e+01  2e+01  2e-16  7e-16\n",
      "24: -4.3402e+00 -7.0025e+00  3e+00  3e-16  2e-16\n",
      "25: -4.7127e+00 -5.2922e+00  6e-01  2e-16  9e-17\n",
      "26: -4.8138e+00 -4.9050e+00  9e-02  2e-16  8e-17\n",
      "27: -4.8210e+00 -4.8293e+00  8e-03  2e-16  7e-17\n",
      "28: -4.8212e+00 -4.8214e+00  2e-04  2e-16  6e-17\n",
      "29: -4.8212e+00 -4.8212e+00  2e-06  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "processing  MCQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.9334e+02 -3.0492e+06  6e+02  1e+00  1e+00\n",
      " 2:  4.1891e+00 -6.7749e+06  2e+03  1e+00  1e+00\n",
      " 3:  1.3324e+02 -1.5397e+08  3e+04  1e+00  1e+00\n",
      " 4:  2.9212e+02 -2.0266e+10  4e+06  1e+00  1e+00\n",
      " 5:  1.6543e+06 -4.7054e+17  5e+17  5e-13  6e-05\n",
      " 6:  1.6543e+06 -4.7054e+15  5e+15  5e-15  4e-05\n",
      " 7:  1.6543e+06 -4.7054e+13  5e+13  1e-16  4e-07\n",
      " 8:  1.6543e+06 -4.7054e+11  5e+11  3e-16  4e-09\n",
      " 9:  1.6498e+06 -4.7082e+09  5e+09  7e-17  7e-11\n",
      "10:  1.3039e+06 -4.9213e+07  5e+07  1e-16  1e-12\n",
      "11:  2.1944e+05 -7.1979e+05  9e+05  2e-16  4e-14\n",
      "12:  3.1375e+04 -3.8543e+04  7e+04  1e-16  3e-14\n",
      "13:  4.2206e+03 -5.5132e+03  1e+04  3e-16  2e-15\n",
      "14:  4.9020e+02 -9.0241e+02  1e+03  6e-17  1e-15\n",
      "15:  1.4237e+01 -1.7966e+02  2e+02  3e-16  1e-15\n",
      "16: -3.3698e+01 -5.6520e+01  2e+01  6e-17  4e-16\n",
      "17: -3.5856e+01 -3.6786e+01  9e-01  1e-16  3e-17\n",
      "18: -3.5865e+01 -3.5876e+01  1e-02  2e-16  7e-17\n",
      "19: -3.5865e+01 -3.5865e+01  1e-04  2e-16  1e-16\n",
      "20: -3.5865e+01 -3.5865e+01  1e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.9723e+02 -5.5283e+06  1e+03  1e+00  1e+00\n",
      " 2:  2.5185e+02 -7.1843e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.8723e+02 -2.7488e+07  5e+03  1e+00  1e+00\n",
      " 4:  4.6119e+02 -2.6388e+08  5e+04  1e+00  1e+00\n",
      " 5:  7.7976e+01 -8.1181e+10  2e+07  1e+00  1e+00\n",
      " 6:  5.0515e+09 -1.7565e+18  2e+18  6e-13  9e-05\n",
      " 7:  5.0515e+09 -1.7565e+16  2e+16  6e-15  2e-04\n",
      " 8:  5.0515e+09 -1.7568e+14  2e+14  2e-16  3e-06\n",
      " 9:  5.0513e+09 -1.7906e+12  2e+12  2e-16  3e-08\n",
      "10:  5.0352e+09 -5.1600e+10  6e+10  2e-16  9e-10\n",
      "11:  9.2353e+08 -1.9780e+10  2e+10  4e-17  2e-09\n",
      "12:  3.7321e+08 -7.4055e+08  1e+09  2e-16  9e-11\n",
      "13:  5.6264e+07 -6.0445e+07  1e+08  2e-16  6e-13\n",
      "14:  8.0952e+06 -9.1628e+06  2e+07  1e-16  4e-13\n",
      "15:  1.1580e+06 -1.2922e+06  2e+06  2e-16  2e-13\n",
      "16:  1.6453e+05 -1.8634e+05  4e+05  2e-16  3e-14\n",
      "17:  2.2996e+04 -2.7249e+04  5e+04  1e-16  6e-15\n",
      "18:  3.0624e+03 -4.1307e+03  7e+03  2e-16  4e-15\n",
      "19:  3.3885e+02 -6.8611e+02  1e+03  3e-16  2e-15\n",
      "20: -2.0232e+00 -1.4330e+02  1e+02  2e-16  8e-16\n",
      "21: -3.4540e+01 -4.9987e+01  2e+01  2e-16  1e-16\n",
      "22: -3.6425e+01 -3.8445e+01  2e+00  1e-16  1e-16\n",
      "23: -3.6623e+01 -3.6791e+01  2e-01  3e-16  1e-16\n",
      "24: -3.6629e+01 -3.6631e+01  2e-03  1e-16  8e-17\n",
      "25: -3.6629e+01 -3.6629e+01  2e-05  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  4.8658e+02 -8.1041e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.4448e+02 -1.0737e+07  2e+03  1e+00  1e+00\n",
      " 3:  4.4801e+02 -1.3291e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.7931e+02 -1.0213e+08  2e+04  1e+00  1e+00\n",
      " 5: -6.8505e+00 -1.2409e+10  3e+06  1e+00  1e+00\n",
      " 6:  7.2579e+00 -8.5911e+12  2e+09  1e+00  1e+00\n",
      " 7:  1.5619e+10 -1.5276e+20  2e+20  4e-13  2e-02\n",
      " 8:  1.5619e+10 -1.5276e+18  2e+18  4e-15  7e-03\n",
      " 9:  1.5619e+10 -1.5276e+16  2e+16  9e-17  8e-05\n",
      "10:  1.5618e+10 -1.5283e+14  2e+14  9e-17  1e-06\n",
      "11:  1.5616e+10 -1.5957e+12  2e+12  3e-16  1e-08\n",
      "12:  1.5363e+10 -8.2728e+10  1e+11  3e-16  9e-10\n",
      "13:  2.3103e+09 -8.6689e+10  9e+10  2e-16  6e-10\n",
      "14:  1.3878e+09 -8.1910e+09  1e+10  2e-16  7e-11\n",
      "15:  2.3687e+08 -3.9170e+08  6e+08  1e-16  1e-12\n",
      "16:  3.5343e+07 -3.9354e+07  7e+07  1e-16  4e-13\n",
      "17:  5.0774e+06 -5.7107e+06  1e+07  2e-16  2e-13\n",
      "18:  7.2540e+05 -8.1169e+05  2e+06  2e-16  8e-14\n",
      "19:  1.0279e+05 -1.1727e+05  2e+05  2e-16  2e-14\n",
      "20:  1.4261e+04 -1.7252e+04  3e+04  1e-16  1e-14\n",
      "21:  1.8536e+03 -2.6557e+03  5e+03  5e-17  4e-15\n",
      "22:  1.8160e+02 -4.5875e+02  6e+02  1e-16  2e-15\n",
      "23: -1.9063e+01 -1.0527e+02  9e+01  2e-16  8e-16\n",
      "24: -3.5778e+01 -4.3841e+01  8e+00  2e-16  2e-16\n",
      "25: -3.6702e+01 -3.7840e+01  1e+00  2e-16  2e-16\n",
      "26: -3.6749e+01 -3.6792e+01  4e-02  2e-16  1e-16\n",
      "27: -3.6751e+01 -3.6751e+01  8e-04  2e-16  1e-16\n",
      "28: -3.6751e+01 -3.6751e+01  8e-06  3e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.0317e+02 -1.0337e+07  2e+03  1e+00  1e+00\n",
      " 2:  5.8503e+02 -1.2237e+07  2e+03  1e+00  1e+00\n",
      " 3:  8.9525e+02 -1.7977e+07  3e+03  1e+00  1e+00\n",
      " 4:  9.7142e+02 -2.9782e+07  6e+03  1e+00  1e+00\n",
      " 5:  1.2018e+02 -1.6440e+08  3e+04  1e+00  1e+00\n",
      " 6:  3.1214e+02 -1.0158e+09  2e+05  1e+00  1e+00\n",
      " 7:  4.0750e+02 -4.8310e+10  1e+07  1e+00  1e+00\n",
      " 8:  1.3025e+02 -4.2380e+14  2e+11  1e+00  1e+00\n",
      " 9:  4.8048e+09 -1.2971e+21  1e+21  2e-13  2e-01\n",
      "10:  4.8048e+09 -1.2971e+19  1e+19  2e-15  5e-02\n",
      "11:  4.8048e+09 -1.2971e+17  1e+17  2e-16  9e-04\n",
      "12:  4.8048e+09 -1.2971e+15  1e+15  2e-16  9e-06\n",
      "13:  4.8047e+09 -1.3025e+13  1e+13  2e-16  1e-07\n",
      "14:  4.7911e+09 -1.8392e+11  2e+11  1e-16  2e-09\n",
      "15:  4.0165e+09 -4.4229e+10  5e+10  2e-16  2e-07\n",
      "16:  6.2057e+08 -2.1293e+10  2e+10  2e-16  3e-08\n",
      "17:  1.9411e+08 -5.5915e+08  8e+08  3e-16  7e-10\n",
      "18:  2.9326e+07 -3.3628e+07  6e+07  2e-16  9e-12\n",
      "19:  4.2006e+06 -4.6654e+06  9e+06  1e-16  2e-13\n",
      "20:  5.9948e+05 -6.7032e+05  1e+06  1e-16  6e-14\n",
      "21:  8.4818e+04 -9.7025e+04  2e+05  2e-16  3e-14\n",
      "22:  1.1724e+04 -1.4323e+04  3e+04  3e-16  1e-14\n",
      "23:  1.5051e+03 -2.2213e+03  4e+03  1e-16  2e-15\n",
      "24:  1.3729e+02 -3.9093e+02  5e+02  2e-16  2e-15\n",
      "25: -2.3510e+01 -9.3692e+01  7e+01  2e-16  5e-16\n",
      "26: -3.6072e+01 -4.2073e+01  6e+00  2e-16  1e-16\n",
      "27: -3.6769e+01 -3.8042e+01  1e+00  1e-16  6e-17\n",
      "28: -3.6940e+01 -3.7157e+01  2e-01  2e-16  9e-17\n",
      "29: -3.6945e+01 -3.6950e+01  4e-03  2e-16  2e-16\n",
      "30: -3.6945e+01 -3.6945e+01  4e-05  1e-16  1e-16\n",
      "31: -3.6945e+01 -3.6945e+01  4e-07  3e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.8579e+02 -1.3436e+07  2e+03  1e+00  1e+00\n",
      " 2:  9.3519e+02 -1.8504e+07  3e+03  1e+00  1e+00\n",
      " 3:  1.1101e+03 -2.8196e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.0119e+03 -4.1968e+07  8e+03  1e+00  1e+00\n",
      " 5:  2.2741e+01 -9.7823e+08  2e+05  1e+00  1e+00\n",
      " 6:  2.5083e+02 -1.8657e+10  4e+06  1e+00  1e+00\n",
      " 7:  3.1247e+02 -8.0464e+12  2e+09  1e+00  1e+00\n",
      " 8:  1.1659e+10 -1.6322e+20  2e+20  5e-13  1e-02\n",
      " 9:  1.1659e+10 -1.6322e+18  2e+18  5e-15  5e-03\n",
      "10:  1.1659e+10 -1.6322e+16  2e+16  2e-16  7e-05\n",
      "11:  1.1659e+10 -1.6333e+14  2e+14  2e-16  7e-07\n",
      "12:  1.1653e+10 -1.7445e+12  2e+12  1e-16  8e-09\n",
      "13:  1.1152e+10 -1.2553e+11  1e+11  2e-16  7e-10\n",
      "14:  3.1662e+09 -1.1650e+11  1e+11  6e-17  7e-10\n",
      "15:  1.6492e+09 -1.1928e+10  1e+10  2e-16  7e-11\n",
      "16:  3.0213e+08 -4.8836e+08  8e+08  2e-16  2e-12\n",
      "17:  4.3945e+07 -4.8309e+07  9e+07  1e-16  6e-13\n",
      "18:  6.3112e+06 -7.0793e+06  1e+07  2e-16  2e-13\n",
      "19:  9.0188e+05 -1.0068e+06  2e+06  1e-16  2e-13\n",
      "20:  1.2796e+05 -1.4534e+05  3e+05  1e-16  3e-14\n",
      "21:  1.7822e+04 -2.1319e+04  4e+04  1e-16  1e-14\n",
      "22:  2.3473e+03 -3.2552e+03  6e+03  2e-16  8e-15\n",
      "23:  2.4647e+02 -5.5068e+02  8e+02  1e-16  6e-16\n",
      "24: -1.1396e+01 -1.2018e+02  1e+02  3e-16  6e-16\n",
      "25: -3.4329e+01 -4.6545e+01  1e+01  2e-16  2e-16\n",
      "26: -3.6747e+01 -4.4791e+01  8e+00  4e-16  1e-16\n",
      "27: -3.6985e+01 -3.7964e+01  1e+00  2e-16  1e-16\n",
      "28: -3.7005e+01 -3.7030e+01  3e-02  2e-16  7e-17\n",
      "29: -3.7005e+01 -3.7005e+01  3e-04  3e-16  1e-16\n",
      "30: -3.7005e+01 -3.7005e+01  3e-06  6e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.8397e+02 -1.5661e+07  2e+03  1e+00  1e+00\n",
      " 2:  7.1725e+02 -1.7914e+07  3e+03  1e+00  1e+00\n",
      " 3:  1.0417e+03 -2.3005e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.6644e+03 -3.8167e+07  7e+03  1e+00  1e+00\n",
      " 5:  1.3623e+03 -4.9861e+07  9e+03  1e+00  1e+00\n",
      " 6:  2.2052e+02 -4.3973e+08  9e+04  1e+00  1e+00\n",
      " 7:  1.0070e+03 -5.3450e+09  1e+06  1e+00  1e+00\n",
      " 8:  1.0363e+03 -4.0670e+12  1e+09  1e+00  1e+00\n",
      " 9:  4.8225e+09 -7.3917e+19  7e+19  4e-13  4e-03\n",
      "10:  4.8225e+09 -7.3917e+17  7e+17  5e-15  3e-03\n",
      "11:  4.8225e+09 -7.3917e+15  7e+15  2e-16  3e-05\n",
      "12:  4.8225e+09 -7.3997e+13  7e+13  2e-16  5e-07\n",
      "13:  4.8197e+09 -8.1913e+11  8e+11  3e-16  9e-09\n",
      "14:  4.6007e+09 -8.3715e+10  9e+10  2e-16  9e-10\n",
      "15:  9.5866e+08 -6.7073e+10  7e+10  3e-16  8e-10\n",
      "16:  4.1420e+08 -1.6328e+09  2e+09  2e-16  2e-11\n",
      "17:  6.5429e+07 -8.2138e+07  1e+08  2e-16  7e-13\n",
      "18:  9.3763e+06 -1.0319e+07  2e+07  2e-16  4e-13\n",
      "19:  1.3408e+06 -1.4943e+06  3e+06  2e-16  1e-13\n",
      "20:  1.9056e+05 -2.1514e+05  4e+05  2e-16  5e-14\n",
      "21:  2.6680e+04 -3.1438e+04  6e+04  1e-16  1e-14\n",
      "22:  3.5736e+03 -4.7480e+03  8e+03  2e-16  6e-15\n",
      "23:  4.0579e+02 -7.8087e+02  1e+03  3e-16  1e-15\n",
      "24:  5.2480e+00 -1.5916e+02  2e+02  2e-16  1e-15\n",
      "25: -3.4165e+01 -5.2797e+01  2e+01  2e-16  1e-16\n",
      "26: -3.6400e+01 -3.9295e+01  3e+00  3e-16  1e-16\n",
      "27: -3.7011e+01 -3.7547e+01  5e-01  1e-16  1e-16\n",
      "28: -3.7077e+01 -3.7130e+01  5e-02  1e-16  7e-17\n",
      "29: -3.7082e+01 -3.7084e+01  2e-03  2e-16  6e-17\n",
      "30: -3.7082e+01 -3.7082e+01  3e-05  1e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.7138e+02 -1.7623e+07  3e+03  1e+00  1e+00\n",
      " 2:  6.6068e+02 -1.9344e+07  3e+03  1e+00  1e+00\n",
      " 3:  8.8530e+02 -2.3334e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.3313e+03 -3.0351e+07  5e+03  1e+00  1e+00\n",
      " 5:  1.8109e+03 -4.1194e+07  8e+03  1e+00  1e+00\n",
      " 6:  2.2910e+03 -6.6790e+07  1e+04  1e+00  1e+00\n",
      " 7:  7.7056e+02 -1.4075e+08  3e+04  1e+00  1e+00\n",
      " 8:  1.3300e+03 -6.1946e+08  1e+05  1e+00  1e+00\n",
      " 9:  1.5164e+03 -7.6578e+10  2e+07  1e+00  1e+00\n",
      "10:  5.8980e+09 -1.7768e+18  2e+18  4e-13  7e-05\n",
      "11:  5.8980e+09 -1.7768e+16  2e+16  4e-15  3e-05\n",
      "12:  5.8980e+09 -1.7779e+14  2e+14  2e-16  8e-07\n",
      "13:  5.8949e+09 -1.8853e+12  2e+12  3e-16  6e-09\n",
      "14:  5.6325e+09 -1.2253e+11  1e+11  2e-16  5e-10\n",
      "15:  1.6717e+09 -8.3860e+10  9e+10  1e-16  2e-09\n",
      "16:  6.5768e+08 -3.1747e+09  4e+09  3e-16  8e-11\n",
      "17:  1.0568e+08 -1.3587e+08  2e+08  2e-16  1e-12\n",
      "18:  1.5156e+07 -1.6668e+07  3e+07  2e-16  4e-13\n",
      "19:  2.1691e+06 -2.4148e+06  5e+06  1e-16  1e-13\n",
      "20:  3.0883e+05 -3.4695e+05  7e+05  1e-16  6e-14\n",
      "21:  4.3453e+04 -5.0490e+04  9e+04  2e-16  1e-14\n",
      "22:  5.9092e+03 -7.5449e+03  1e+04  2e-16  9e-15\n",
      "23:  7.1469e+02 -1.2074e+03  2e+03  2e-16  4e-15\n",
      "24:  3.9848e+01 -2.2985e+02  3e+02  1e-16  9e-16\n",
      "25: -3.2309e+01 -6.5713e+01  3e+01  2e-16  2e-16\n",
      "26: -3.6410e+01 -4.0461e+01  4e+00  2e-16  9e-17\n",
      "27: -3.7039e+01 -3.7795e+01  8e-01  1e-16  1e-16\n",
      "28: -3.7097e+01 -3.7199e+01  1e-01  2e-16  1e-16\n",
      "29: -3.7099e+01 -3.7102e+01  3e-03  2e-16  7e-17\n",
      "30: -3.7099e+01 -3.7099e+01  4e-05  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.6278e+02 -2.1693e+07  3e+03  1e+00  1e+00\n",
      " 2:  1.4864e+03 -3.5486e+07  6e+03  1e+00  1e+00\n",
      " 3:  2.1221e+03 -4.7273e+07  9e+03  1e+00  1e+00\n",
      " 4:  2.6904e+03 -6.7780e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.4601e+03 -1.3130e+08  3e+04  1e+00  1e+00\n",
      " 6:  2.6369e+03 -1.1045e+09  2e+05  1e+00  1e+00\n",
      " 7:  2.8149e+02 -1.5483e+11  3e+07  1e+00  1e+00\n",
      " 8:  1.6356e+02 -2.0886e+14  6e+10  1e+00  1e+00\n",
      " 9:  3.1034e+10 -2.9224e+21  3e+21  4e-13  1e-01\n",
      "10:  3.1034e+10 -2.9224e+19  3e+19  4e-15  3e-02\n",
      "11:  3.1034e+10 -2.9224e+17  3e+17  2e-16  8e-04\n",
      "12:  3.1034e+10 -2.9226e+15  3e+15  2e-16  9e-06\n",
      "13:  3.1031e+10 -2.9484e+13  3e+13  2e-16  9e-08\n",
      "14:  3.0785e+10 -5.5126e+11  6e+11  1e-16  2e-09\n",
      "15:  2.1839e+10 -1.6616e+11  2e+11  2e-16  1e-07\n",
      "16:  8.7751e+09 -1.2303e+11  1e+11  6e-16  6e-08\n",
      "17:  2.9096e+09 -9.3254e+09  1e+10  2e-16  4e-09\n",
      "18:  4.7018e+08 -5.7899e+08  1e+09  2e-16  6e-11\n",
      "19:  6.7786e+07 -7.5889e+07  1e+08  1e-16  1e-12\n",
      "20:  9.7243e+06 -1.0814e+07  2e+07  3e-16  2e-13\n",
      "21:  1.3902e+06 -1.5469e+06  3e+06  2e-16  1e-13\n",
      "22:  1.9759e+05 -2.2301e+05  4e+05  1e-16  6e-14\n",
      "23:  2.7673e+04 -3.2578e+04  6e+04  2e-16  2e-14\n",
      "24:  3.7103e+03 -4.9170e+03  9e+03  1e-16  8e-15\n",
      "25:  4.2333e+02 -8.0719e+02  1e+03  2e-16  3e-15\n",
      "26:  7.0641e+00 -1.6368e+02  2e+02  2e-16  8e-16\n",
      "27: -3.3908e+01 -5.3502e+01  2e+01  1e-16  2e-16\n",
      "28: -3.5685e+01 -4.2845e+01  7e+00  2e-16  9e-17\n",
      "29: -3.6990e+01 -4.0887e+01  4e+00  3e-16  1e-16\n",
      "30: -3.7095e+01 -3.7532e+01  4e-01  2e-16  5e-17\n",
      "31: -3.7118e+01 -3.7141e+01  2e-02  1e-16  1e-16\n",
      "32: -3.7119e+01 -3.7119e+01  5e-04  3e-16  1e-16\n",
      "33: -3.7119e+01 -3.7119e+01  5e-06  6e-17  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  6.6381e+02 -2.3942e+07  3e+03  1e+00  1e+00\n",
      " 2:  1.7472e+03 -4.3131e+07  7e+03  1e+00  1e+00\n",
      " 3:  2.0730e+03 -4.9228e+07  8e+03  1e+00  1e+00\n",
      " 4:  2.6954e+03 -6.3410e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.1217e+03 -9.4460e+07  2e+04  1e+00  1e+00\n",
      " 6:  1.3894e+03 -5.7115e+08  1e+05  1e+00  1e+00\n",
      " 7:  1.8944e+03 -3.7908e+09  8e+05  1e+00  1e+00\n",
      " 8:  3.0065e+03 -1.0847e+12  2e+08  1e+00  1e+00\n",
      " 9:  2.6431e+09 -2.3516e+19  2e+19  4e-13  9e-04\n",
      "10:  2.6431e+09 -2.3516e+17  2e+17  4e-15  6e-04\n",
      "11:  2.6431e+09 -2.3516e+15  2e+15  2e-16  1e-05\n",
      "12:  2.6429e+09 -2.3538e+13  2e+13  2e-16  1e-07\n",
      "13:  2.6191e+09 -2.5707e+11  3e+11  2e-16  1e-09\n",
      "14:  1.5247e+09 -1.3874e+10  2e+10  2e-16  9e-11\n",
      "15:  2.8710e+08 -5.3431e+08  8e+08  2e-16  3e-12\n",
      "16:  4.1899e+07 -4.6038e+07  9e+07  2e-16  5e-13\n",
      "17:  6.0099e+06 -6.7080e+06  1e+07  3e-16  3e-13\n",
      "18:  8.5837e+05 -9.5758e+05  2e+06  2e-16  1e-13\n",
      "19:  1.2172e+05 -1.3836e+05  3e+05  2e-16  4e-14\n",
      "20:  1.6932e+04 -2.0319e+04  4e+04  1e-16  2e-14\n",
      "21:  2.2215e+03 -3.1103e+03  5e+03  2e-16  4e-15\n",
      "22:  2.2885e+02 -5.2944e+02  8e+02  2e-16  3e-15\n",
      "23: -1.4077e+01 -1.1722e+02  1e+02  2e-16  7e-16\n",
      "24: -3.5195e+01 -4.5523e+01  1e+01  2e-16  2e-16\n",
      "25: -3.6383e+01 -4.0201e+01  4e+00  9e-17  9e-17\n",
      "26: -3.7043e+01 -3.7807e+01  8e-01  1e-16  6e-17\n",
      "27: -3.7122e+01 -3.7256e+01  1e-01  2e-16  8e-17\n",
      "28: -3.7127e+01 -3.7133e+01  6e-03  2e-16  1e-16\n",
      "29: -3.7127e+01 -3.7127e+01  1e-04  2e-16  1e-16\n",
      "30: -3.7127e+01 -3.7127e+01  1e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  DPQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.2674e+01 -2.7903e+05  6e+01  1e+00  1e+00\n",
      " 2:  5.7096e-01 -2.3136e+06  5e+02  1e+00  1e+00\n",
      " 3:  7.0606e+00 -2.0216e+08  4e+04  1e+00  1e+00\n",
      " 4:  2.2251e+01 -2.6670e+11  7e+07  1e+00  1e+00\n",
      " 5:  1.2531e+05 -3.9977e+18  4e+18  3e-13  1e-02\n",
      " 6:  1.2531e+05 -3.9977e+16  4e+16  3e-15  6e-03\n",
      " 7:  1.2531e+05 -3.9977e+14  4e+14  1e-16  4e-05\n",
      " 8:  1.2531e+05 -3.9977e+12  4e+12  2e-16  5e-07\n",
      " 9:  1.2530e+05 -3.9977e+10  4e+10  2e-16  5e-09\n",
      "10:  1.2495e+05 -4.0009e+08  4e+08  1e-16  2e-11\n",
      "11:  9.7905e+04 -4.2400e+06  4e+06  1e-16  4e-13\n",
      "12:  1.6568e+04 -6.0663e+04  8e+04  2e-16  3e-14\n",
      "13:  2.3857e+03 -2.9468e+03  5e+03  3e-16  5e-15\n",
      "14:  3.2624e+02 -4.0537e+02  7e+02  1e-16  1e-14\n",
      "15:  3.9944e+01 -6.4772e+01  1e+02  2e-16  1e-15\n",
      "16:  1.9446e+00 -1.2563e+01  1e+01  1e-16  1e-15\n",
      "17: -2.6742e+00 -4.4705e+00  2e+00  1e-16  2e-16\n",
      "18: -3.1977e+00 -3.4370e+00  2e-01  9e-17  8e-17\n",
      "19: -3.2361e+00 -3.2556e+00  2e-02  3e-16  3e-17\n",
      "20: -3.2367e+00 -3.2370e+00  3e-04  2e-16  7e-17\n",
      "21: -3.2367e+00 -3.2367e+00  3e-06  6e-17  7e-18\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.0204e+01 -4.6675e+05  9e+01  1e+00  1e+00\n",
      " 2:  2.9850e+01 -1.8522e+06  4e+02  1e+00  1e+00\n",
      " 3:  4.0470e+01 -2.2032e+07  4e+03  1e+00  1e+00\n",
      " 4:  2.1025e+02 -2.1387e+11  1e+08  1e+00  1e+00\n",
      " 5:  1.2242e+09 -6.0924e+17  6e+17  8e-14  1e-03\n",
      " 6:  1.2242e+09 -6.0924e+15  6e+15  9e-16  3e-04\n",
      " 7:  1.2242e+09 -6.0928e+13  6e+13  2e-16  8e-06\n",
      " 8:  1.2242e+09 -6.1286e+11  6e+11  1e-16  9e-08\n",
      " 9:  1.2195e+09 -9.7089e+09  1e+10  2e-16  2e-09\n",
      "10:  9.5919e+08 -3.1116e+09  4e+09  2e-16  5e-10\n",
      "11:  2.0471e+08 -4.2735e+09  4e+09  3e-16  4e-10\n",
      "12:  1.0202e+08 -4.5168e+08  6e+08  1e-16  5e-11\n",
      "13:  1.7808e+07 -2.8121e+07  5e+07  1e-16  3e-12\n",
      "14:  2.5973e+06 -2.8810e+06  5e+06  3e-16  5e-13\n",
      "15:  3.7311e+05 -4.1919e+05  8e+05  2e-16  1e-13\n",
      "16:  5.3293e+04 -5.9659e+04  1e+05  2e-16  8e-14\n",
      "17:  7.5459e+03 -8.6271e+03  2e+04  2e-16  1e-14\n",
      "18:  1.0445e+03 -1.2716e+03  2e+03  2e-16  1e-14\n",
      "19:  1.3464e+02 -1.9670e+02  3e+02  1e-16  4e-15\n",
      "20:  1.2507e+01 -3.4455e+01  5e+01  2e-16  6e-16\n",
      "21: -2.0049e+00 -8.2416e+00  6e+00  3e-16  6e-16\n",
      "22: -3.2122e+00 -3.7694e+00  6e-01  2e-16  2e-16\n",
      "23: -3.2681e+00 -3.2991e+00  3e-02  1e-16  8e-17\n",
      "24: -3.2694e+00 -3.2700e+00  6e-04  1e-16  8e-17\n",
      "25: -3.2694e+00 -3.2694e+00  6e-06  3e-16  8e-17\n",
      "26: -3.2694e+00 -3.2694e+00  6e-08  3e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.8611e+01 -6.7805e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.8726e+01 -1.3065e+06  3e+02  1e+00  1e+00\n",
      " 3:  3.5054e+00 -1.6103e+07  3e+03  1e+00  1e+00\n",
      " 4:  7.4754e+00 -1.5986e+08  3e+04  1e+00  1e+00\n",
      " 5:  1.0994e+01 -1.6376e+10  3e+06  1e+00  1e+00\n",
      " 6:  6.5834e+08 -3.8889e+17  4e+17  6e-13  4e-04\n",
      " 7:  6.5834e+08 -3.8889e+15  4e+15  6e-15  3e-04\n",
      " 8:  6.5833e+08 -3.8892e+13  4e+13  2e-16  5e-06\n",
      " 9:  6.5829e+08 -3.9221e+11  4e+11  3e-16  3e-08\n",
      "10:  6.5364e+08 -7.1941e+09  8e+09  2e-16  8e-10\n",
      "11:  4.2257e+08 -1.9695e+09  2e+09  1e-16  9e-09\n",
      "12:  7.6926e+07 -5.1423e+08  6e+08  2e-16  2e-12\n",
      "13:  1.7095e+07 -2.4647e+07  4e+07  1e-16  1e-12\n",
      "14:  2.4814e+06 -2.7145e+06  5e+06  2e-16  3e-13\n",
      "15:  3.5607e+05 -3.9815e+05  8e+05  2e-16  2e-13\n",
      "16:  5.0851e+04 -5.6789e+04  1e+05  1e-16  9e-14\n",
      "17:  7.2050e+03 -8.2118e+03  2e+04  2e-16  3e-14\n",
      "18:  9.9969e+02 -1.2084e+03  2e+03  3e-16  2e-14\n",
      "19:  1.2993e+02 -1.8598e+02  3e+02  3e-16  4e-15\n",
      "20:  1.2649e+01 -3.2155e+01  4e+01  2e-16  1e-15\n",
      "21: -1.5342e+00 -7.4849e+00  6e+00  3e-16  1e-16\n",
      "22: -2.9197e+00 -4.1737e+00  1e+00  1e-16  2e-16\n",
      "23: -3.2572e+00 -3.4533e+00  2e-01  2e-16  1e-16\n",
      "24: -3.2835e+00 -3.2978e+00  1e-02  2e-16  2e-16\n",
      "25: -3.2842e+00 -3.2846e+00  3e-04  3e-16  1e-16\n",
      "26: -3.2842e+00 -3.2842e+00  3e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.8135e+01 -7.6184e+05  1e+02  1e+00  1e+00\n",
      " 2:  5.7785e+01 -1.4981e+06  3e+02  1e+00  1e+00\n",
      " 3:  5.3667e+00 -1.4384e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.2025e+01 -1.3973e+08  3e+04  1e+00  1e+00\n",
      " 5:  2.9944e+01 -2.2277e+10  5e+06  1e+00  1e+00\n",
      " 6:  4.4276e+08 -5.1809e+17  5e+17  5e-13  5e-04\n",
      " 7:  4.4276e+08 -5.1809e+15  5e+15  5e-15  4e-04\n",
      " 8:  4.4276e+08 -5.1813e+13  5e+13  2e-16  6e-06\n",
      " 9:  4.4274e+08 -5.2171e+11  5e+11  2e-16  9e-08\n",
      "10:  4.4022e+08 -8.7832e+09  9e+09  3e-16  2e-09\n",
      "11:  2.9543e+08 -2.2298e+09  3e+09  2e-16  1e-09\n",
      "12:  5.9030e+07 -3.9007e+08  4e+08  2e-16  4e-12\n",
      "13:  1.2449e+07 -1.9367e+07  3e+07  2e-16  7e-13\n",
      "14:  1.8039e+06 -1.9576e+06  4e+06  3e-16  3e-13\n",
      "15:  2.5879e+05 -2.8957e+05  5e+05  2e-16  1e-13\n",
      "16:  3.6942e+04 -4.1288e+04  8e+04  2e-16  6e-14\n",
      "17:  5.2292e+03 -5.9757e+03  1e+04  2e-16  3e-14\n",
      "18:  7.2346e+02 -8.8125e+02  2e+03  1e-16  7e-15\n",
      "19:  9.2984e+01 -1.3648e+02  2e+02  2e-16  4e-15\n",
      "20:  8.3436e+00 -2.4068e+01  3e+01  2e-16  1e-15\n",
      "21: -1.8618e+00 -6.0340e+00  4e+00  1e-16  5e-16\n",
      "22: -3.1263e+00 -3.8427e+00  7e-01  1e-16  1e-16\n",
      "23: -3.2773e+00 -3.3493e+00  7e-02  3e-16  1e-16\n",
      "24: -3.2888e+00 -3.2945e+00  6e-03  1e-16  6e-17\n",
      "25: -3.2891e+00 -3.2892e+00  1e-04  3e-16  9e-17\n",
      "26: -3.2891e+00 -3.2891e+00  1e-06  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.8933e+01 -9.3834e+05  2e+02  1e+00  1e+00\n",
      " 2:  8.9754e+01 -1.9445e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.6530e+01 -5.9736e+06  1e+03  1e+00  1e+00\n",
      " 4:  3.8129e+01 -2.6856e+07  5e+03  1e+00  1e+00\n",
      " 5:  4.4108e+01 -8.4876e+08  2e+05  1e+00  1e+00\n",
      " 6:  3.7928e+01 -1.7965e+12  5e+08  1e+00  1e+00\n",
      " 7:  3.0560e+08 -2.1682e+19  2e+19  2e-13  1e-02\n",
      " 8:  3.0560e+08 -2.1682e+17  2e+17  2e-15  8e-03\n",
      " 9:  3.0560e+08 -2.1682e+15  2e+15  2e-16  1e-04\n",
      "10:  3.0560e+08 -2.1685e+13  2e+13  1e-16  2e-06\n",
      "11:  3.0554e+08 -2.1979e+11  2e+11  3e-16  2e-08\n",
      "12:  2.9923e+08 -5.0753e+09  5e+09  2e-16  7e-10\n",
      "13:  9.5227e+07 -3.8390e+08  5e+08  2e-16  5e-08\n",
      "14:  1.5868e+07 -2.1217e+07  4e+07  3e-16  4e-10\n",
      "15:  2.2988e+06 -2.5981e+06  5e+06  1e-16  4e-13\n",
      "16:  3.2999e+05 -3.6919e+05  7e+05  1e-16  3e-13\n",
      "17:  4.7134e+04 -5.2713e+04  1e+05  3e-16  1e-13\n",
      "18:  6.6782e+03 -7.6157e+03  1e+04  1e-16  1e-14\n",
      "19:  9.2640e+02 -1.1207e+03  2e+03  1e-16  1e-14\n",
      "20:  1.2028e+02 -1.7257e+02  3e+02  1e-16  3e-15\n",
      "21:  1.1619e+01 -2.9897e+01  4e+01  2e-16  9e-16\n",
      "22: -1.5067e+00 -7.0078e+00  6e+00  1e-16  4e-16\n",
      "23: -2.8656e+00 -4.3674e+00  2e+00  2e-16  1e-16\n",
      "24: -3.2568e+00 -3.5015e+00  2e-01  3e-16  1e-16\n",
      "25: -3.2961e+00 -3.3215e+00  3e-02  2e-16  1e-16\n",
      "26: -3.2990e+00 -3.3011e+00  2e-03  1e-16  1e-16\n",
      "27: -3.2991e+00 -3.2991e+00  3e-05  2e-16  6e-17\n",
      "28: -3.2991e+00 -3.2991e+00  3e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.7323e+01 -1.2066e+06  2e+02  1e+00  1e+00\n",
      " 2:  1.1161e+02 -2.4024e+06  5e+02  1e+00  1e+00\n",
      " 3:  5.4666e+00 -8.1062e+06  2e+03  1e+00  1e+00\n",
      " 4:  3.3531e+01 -3.1864e+07  6e+03  1e+00  1e+00\n",
      " 5:  6.1766e+01 -6.3488e+08  1e+05  1e+00  1e+00\n",
      " 6:  5.2420e+01 -1.0447e+12  3e+08  1e+00  1e+00\n",
      " 7:  3.5126e+08 -1.4557e+19  1e+19  4e-13  5e-03\n",
      " 8:  3.5126e+08 -1.4557e+17  1e+17  4e-15  6e-03\n",
      " 9:  3.5126e+08 -1.4557e+15  1e+15  2e-16  7e-05\n",
      "10:  3.5126e+08 -1.4561e+13  1e+13  1e-16  9e-07\n",
      "11:  3.5114e+08 -1.4869e+11  1e+11  3e-16  9e-09\n",
      "12:  3.4046e+08 -4.4781e+09  5e+09  1e-16  3e-10\n",
      "13:  9.6942e+07 -5.5655e+08  7e+08  2e-16  1e-08\n",
      "14:  1.9800e+07 -3.3935e+07  5e+07  2e-16  5e-10\n",
      "15:  2.8711e+06 -3.1458e+06  6e+06  2e-16  5e-13\n",
      "16:  4.1221e+05 -4.6247e+05  9e+05  1e-16  3e-13\n",
      "17:  5.8869e+04 -6.5821e+04  1e+05  3e-16  5e-14\n",
      "18:  8.3395e+03 -9.5151e+03  2e+04  1e-16  3e-14\n",
      "19:  1.1564e+03 -1.4007e+03  3e+03  2e-16  2e-14\n",
      "20:  1.5002e+02 -2.1585e+02  4e+02  1e-16  4e-15\n",
      "21:  1.4462e+01 -3.7445e+01  5e+01  2e-16  3e-15\n",
      "22: -1.8108e+00 -8.7486e+00  7e+00  3e-16  8e-16\n",
      "23: -3.2117e+00 -3.8465e+00  6e-01  2e-16  3e-16\n",
      "24: -3.2949e+00 -3.3406e+00  5e-02  2e-16  1e-16\n",
      "25: -3.3021e+00 -3.3058e+00  4e-03  2e-16  1e-16\n",
      "26: -3.3025e+00 -3.3027e+00  2e-04  2e-16  1e-16\n",
      "27: -3.3025e+00 -3.3025e+00  3e-06  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  7.5257e+01 -1.7158e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.1166e+02 -3.0867e+06  6e+02  1e+00  1e+00\n",
      " 3:  2.1473e+01 -1.0647e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.4545e+01 -4.6404e+07  9e+03  1e+00  1e+00\n",
      " 5:  7.1063e+01 -1.1817e+09  2e+05  1e+00  1e+00\n",
      " 6:  4.8493e+01 -3.5358e+12  1e+09  1e+00  1e+00\n",
      " 7:  3.7043e+08 -3.3872e+19  3e+19  3e-13  2e-02\n",
      " 8:  3.7043e+08 -3.3872e+17  3e+17  3e-15  1e-02\n",
      " 9:  3.7043e+08 -3.3872e+15  3e+15  2e-16  2e-04\n",
      "10:  3.7043e+08 -3.3876e+13  3e+13  1e-16  2e-06\n",
      "11:  3.7035e+08 -3.4276e+11  3e+11  2e-16  2e-08\n",
      "12:  3.6289e+08 -7.3432e+09  8e+09  2e-16  5e-10\n",
      "13:  1.4344e+08 -6.2673e+08  8e+08  2e-16  2e-10\n",
      "14:  2.3923e+07 -3.3427e+07  6e+07  1e-16  2e-12\n",
      "15:  3.4710e+06 -3.9031e+06  7e+06  2e-16  5e-13\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16:  4.9842e+05 -5.5793e+05  1e+06  3e-16  3e-13\n",
      "17:  7.1234e+04 -7.9542e+04  2e+05  2e-16  8e-14\n",
      "18:  1.0108e+04 -1.1477e+04  2e+04  2e-16  5e-14\n",
      "19:  1.4083e+03 -1.6831e+03  3e+03  2e-16  2e-14\n",
      "20:  1.8551e+02 -2.5691e+02  4e+02  3e-16  5e-15\n",
      "21:  1.9326e+01 -4.3547e+01  6e+01  2e-16  2e-15\n",
      "22: -1.1887e+00 -9.6932e+00  9e+00  3e-16  1e-15\n",
      "23: -3.1419e+00 -3.9915e+00  8e-01  1e-16  2e-16\n",
      "24: -3.2859e+00 -3.3830e+00  1e-01  2e-16  7e-17\n",
      "25: -3.3036e+00 -3.3130e+00  9e-03  2e-16  9e-17\n",
      "26: -3.3050e+00 -3.3058e+00  8e-04  2e-16  1e-16\n",
      "27: -3.3051e+00 -3.3051e+00  4e-05  2e-16  1e-16\n",
      "28: -3.3051e+00 -3.3051e+00  5e-07  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  7.5967e+01 -1.9461e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.4402e+02 -3.6239e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.6132e+01 -1.8292e+07  4e+03  1e+00  1e+00\n",
      " 4:  4.4374e+01 -8.7427e+07  2e+04  1e+00  1e+00\n",
      " 5:  8.4887e+01 -2.1353e+09  4e+05  1e+00  1e+00\n",
      " 6:  8.4929e+01 -5.0020e+12  1e+09  1e+00  1e+00\n",
      " 7:  3.7079e+08 -5.6788e+19  6e+19  4e-13  3e-02\n",
      " 8:  3.7079e+08 -5.6788e+17  6e+17  4e-15  2e-02\n",
      " 9:  3.7079e+08 -5.6788e+15  6e+15  2e-16  3e-04\n",
      "10:  3.7079e+08 -5.6793e+13  6e+13  2e-16  5e-06\n",
      "11:  3.7074e+08 -5.7354e+11  6e+11  1e-16  5e-08\n",
      "12:  3.6609e+08 -1.1269e+10  1e+10  1e-16  9e-10\n",
      "13:  1.9435e+08 -2.0272e+09  2e+09  2e-16  4e-10\n",
      "14:  3.8633e+07 -8.9330e+07  1e+08  2e-16  2e-12\n",
      "15:  6.0846e+06 -7.3317e+06  1e+07  2e-16  6e-13\n",
      "16:  8.7434e+05 -9.7580e+05  2e+06  3e-16  3e-13\n",
      "17:  1.2511e+05 -1.3963e+05  3e+05  2e-16  8e-14\n",
      "18:  1.7793e+04 -2.0082e+04  4e+04  2e-16  4e-14\n",
      "19:  2.4947e+03 -2.9297e+03  5e+03  2e-16  1e-14\n",
      "20:  3.3546e+02 -4.4120e+02  8e+02  2e-16  6e-15\n",
      "21:  3.8666e+01 -7.2103e+01  1e+02  3e-16  2e-15\n",
      "22:  8.2517e-01 -1.4534e+01  2e+01  2e-16  9e-16\n",
      "23: -3.0351e+00 -4.7944e+00  2e+00  2e-16  2e-16\n",
      "24: -3.2838e+00 -3.4093e+00  1e-01  2e-16  2e-16\n",
      "25: -3.3064e+00 -3.3200e+00  1e-02  2e-16  2e-16\n",
      "26: -3.3080e+00 -3.3088e+00  9e-04  2e-16  8e-17\n",
      "27: -3.3080e+00 -3.3081e+00  5e-05  1e-16  8e-17\n",
      "28: -3.3080e+00 -3.3080e+00  7e-07  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  7.7277e+01 -2.1670e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.8457e+02 -4.2708e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.2602e+01 -1.6224e+07  3e+03  1e+00  1e+00\n",
      " 4:  6.1339e+01 -6.2316e+07  1e+04  1e+00  1e+00\n",
      " 5:  9.7103e+01 -1.0176e+09  2e+05  1e+00  1e+00\n",
      " 6:  1.1061e+02 -6.9473e+11  2e+08  1e+00  1e+00\n",
      " 7:  6.1601e+08 -1.3274e+19  1e+19  4e-13  8e-03\n",
      " 8:  6.1601e+08 -1.3274e+17  1e+17  4e-15  3e-03\n",
      " 9:  6.1601e+08 -1.3274e+15  1e+15  2e-16  4e-05\n",
      "10:  6.1600e+08 -1.3282e+13  1e+13  2e-16  5e-07\n",
      "11:  6.1562e+08 -1.4025e+11  1e+11  2e-16  4e-09\n",
      "12:  5.8296e+08 -8.5396e+09  9e+09  2e-16  3e-10\n",
      "13:  2.0157e+08 -3.2823e+09  3e+09  2e-16  1e-09\n",
      "14:  5.1727e+07 -1.3543e+08  2e+08  1e-16  4e-11\n",
      "15:  7.7943e+06 -8.7128e+06  2e+07  2e-16  1e-12\n",
      "16:  1.1189e+06 -1.2464e+06  2e+06  2e-16  3e-13\n",
      "17:  1.6012e+05 -1.7777e+05  3e+05  2e-16  1e-13\n",
      "18:  2.2812e+04 -2.5575e+04  5e+04  3e-16  5e-14\n",
      "19:  3.2153e+03 -3.7159e+03  7e+03  2e-16  2e-14\n",
      "20:  4.3939e+02 -5.5325e+02  1e+03  2e-16  3e-15\n",
      "21:  5.3953e+01 -8.7804e+01  1e+02  1e-16  2e-15\n",
      "22:  3.3120e+00 -1.6520e+01  2e+01  3e-16  7e-16\n",
      "23: -2.4471e+00 -4.9454e+00  2e+00  2e-16  2e-16\n",
      "24: -3.2148e+00 -3.8445e+00  6e-01  2e-16  8e-17\n",
      "25: -3.2996e+00 -3.3603e+00  6e-02  2e-16  1e-16\n",
      "26: -3.3085e+00 -3.3140e+00  5e-03  2e-16  7e-17\n",
      "27: -3.3090e+00 -3.3094e+00  3e-04  2e-16  7e-17\n",
      "28: -3.3090e+00 -3.3090e+00  7e-06  2e-16  6e-17\n",
      "29: -3.3090e+00 -3.3090e+00  7e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  OCQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.7983e+01 -2.5940e+05  5e+01  1e+00  1e+00\n",
      " 2:  3.4683e+00 -2.4372e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.2685e+01 -4.3362e+08  9e+04  1e+00  1e+00\n",
      " 4:  2.4035e+07 -1.0116e+16  1e+16  3e-13  4e-05\n",
      " 5:  2.4035e+07 -1.0116e+14  1e+14  3e-15  2e-05\n",
      " 6:  2.4035e+07 -1.0117e+12  1e+12  8e-17  9e-08\n",
      " 7:  2.4008e+07 -1.0184e+10  1e+10  2e-16  5e-10\n",
      " 8:  2.1552e+07 -1.6174e+08  2e+08  7e-17  1e-11\n",
      " 9:  4.3969e+06 -7.7977e+06  1e+07  7e-17  5e-13\n",
      "10:  6.3684e+05 -6.9486e+05  1e+06  2e-16  2e-13\n",
      "11:  9.1355e+04 -1.0238e+05  2e+05  5e-17  3e-13\n",
      "12:  1.3029e+04 -1.4613e+04  3e+04  2e-16  2e-14\n",
      "13:  1.8391e+03 -2.1202e+03  4e+03  2e-16  4e-14\n",
      "14:  2.5226e+02 -3.1476e+02  6e+02  9e-17  4e-15\n",
      "15:  3.1472e+01 -4.9579e+01  8e+01  6e-17  1e-15\n",
      "16:  2.3290e+00 -9.0930e+00  1e+01  2e-16  8e-16\n",
      "17: -9.6306e-01 -2.4225e+00  1e+00  2e-16  3e-16\n",
      "18: -1.2038e+00 -1.3648e+00  2e-01  2e-16  1e-16\n",
      "19: -1.2130e+00 -1.2164e+00  3e-03  3e-16  6e-17\n",
      "20: -1.2130e+00 -1.2130e+00  3e-05  2e-16  5e-17\n",
      "21: -1.2130e+00 -1.2130e+00  3e-07  3e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.3513e+01 -4.0557e+05  8e+01  1e+00  1e+00\n",
      " 2:  1.5429e+01 -1.5283e+06  3e+02  1e+00  1e+00\n",
      " 3:  3.0043e+01 -3.4052e+07  7e+03  1e+00  1e+00\n",
      " 4:  4.8026e+01 -2.4194e+11  1e+08  1e+00  1e+00\n",
      " 5:  5.1471e+08 -1.0117e+18  1e+18  6e-14  2e-03\n",
      " 6:  5.1471e+08 -1.0117e+16  1e+16  6e-16  7e-04\n",
      " 7:  5.1471e+08 -1.0117e+14  1e+14  6e-17  2e-05\n",
      " 8:  5.1470e+08 -1.0134e+12  1e+12  2e-16  3e-07\n",
      " 9:  5.1428e+08 -1.1865e+10  1e+10  2e-16  3e-09\n",
      "10:  4.8974e+08 -1.8351e+09  2e+09  1e-16  6e-10\n",
      "11:  4.7640e+07 -2.9658e+09  3e+09  2e-16  5e-10\n",
      "12:  2.2665e+07 -1.2701e+08  1e+08  2e-16  2e-11\n",
      "13:  3.6778e+06 -5.4337e+06  9e+06  3e-16  1e-12\n",
      "14:  5.2730e+05 -5.7727e+05  1e+06  3e-16  2e-13\n",
      "15:  7.5536e+04 -8.4290e+04  2e+05  2e-16  9e-14\n",
      "16:  1.0761e+04 -1.2084e+04  2e+04  7e-17  1e-14\n",
      "17:  1.5153e+03 -1.7573e+03  3e+03  2e-16  6e-15\n",
      "18:  2.0643e+02 -2.6223e+02  5e+02  5e-17  7e-15\n",
      "19:  2.5082e+01 -4.1849e+01  7e+01  2e-16  3e-15\n",
      "20:  1.4234e+00 -7.9507e+00  9e+00  3e-17  1e-15\n",
      "21: -1.1813e+00 -2.3362e+00  1e+00  1e-16  1e-16\n",
      "22: -1.3774e+00 -1.4912e+00  1e-01  3e-16  1e-16\n",
      "23: -1.3845e+00 -1.3905e+00  6e-03  2e-16  3e-17\n",
      "24: -1.3845e+00 -1.3846e+00  7e-05  1e-16  1e-16\n",
      "25: -1.3845e+00 -1.3845e+00  7e-07  6e-17  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  3.4840e+01 -6.1750e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.1241e+01 -1.8896e+06  4e+02  1e+00  1e+00\n",
      " 3:  2.4625e+01 -9.0873e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.2364e+01 -1.9264e+09  4e+05  1e+00  1e+00\n",
      " 5:  4.8462e+07 -4.4100e+16  4e+16  2e-13  9e-05\n",
      " 6:  4.8462e+07 -4.4100e+14  4e+14  2e-15  7e-05\n",
      " 7:  4.8461e+07 -4.4101e+12  4e+12  2e-16  3e-07\n",
      " 8:  4.8436e+07 -4.4238e+10  4e+10  1e-16  9e-09\n",
      " 9:  4.5996e+07 -5.7158e+08  6e+08  1e-16  1e-10\n",
      "10:  1.1714e+07 -2.6332e+07  4e+07  2e-16  7e-12\n",
      "11:  1.7198e+06 -1.9170e+06  4e+06  6e-17  2e-13\n",
      "12:  2.4691e+05 -2.7602e+05  5e+05  2e-16  4e-13\n",
      "13:  3.5308e+04 -3.9332e+04  7e+04  3e-16  2e-13\n",
      "14:  5.0172e+03 -5.6720e+03  1e+04  2e-16  5e-14\n",
      "15:  7.0163e+02 -8.2942e+02  2e+03  1e-16  2e-14\n",
      "16:  9.3515e+01 -1.2562e+02  2e+02  1e-16  2e-15\n",
      "17:  1.0321e+01 -2.0860e+01  3e+01  3e-16  3e-15\n",
      "18: -1.6518e-01 -4.4183e+00  4e+00  2e-16  1e-15\n",
      "19: -1.2802e+00 -1.8931e+00  6e-01  2e-16  2e-16\n",
      "20: -1.4064e+00 -1.5643e+00  2e-01  1e-16  6e-17\n",
      "21: -1.4137e+00 -1.4193e+00  6e-03  4e-17  1e-17\n",
      "22: -1.4138e+00 -1.4138e+00  7e-05  3e-16  7e-17\n",
      "23: -1.4138e+00 -1.4138e+00  7e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.5214e+01 -7.4993e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.9859e+01 -1.3991e+06  3e+02  1e+00  1e+00\n",
      " 3:  8.5688e+00 -7.0927e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.8486e+01 -4.8043e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.4137e+01 -3.3413e+09  7e+05  1e+00  1e+00\n",
      " 6:  2.5815e+08 -8.0747e+16  8e+16  4e-13  1e-04\n",
      " 7:  2.5815e+08 -8.0747e+14  8e+14  4e-15  9e-05\n",
      " 8:  2.5814e+08 -8.0770e+12  8e+12  2e-16  5e-07\n",
      " 9:  2.5804e+08 -8.3069e+10  8e+10  2e-16  1e-08\n",
      "10:  2.4863e+08 -3.0451e+09  3e+09  1e-16  6e-10\n",
      "11:  4.9066e+07 -5.1330e+08  6e+08  2e-16  5e-09\n",
      "12:  1.2241e+07 -2.4736e+07  4e+07  2e-16  2e-10\n",
      "13:  1.7939e+06 -1.9280e+06  4e+06  2e-16  9e-13\n",
      "14:  2.5763e+05 -2.8921e+05  5e+05  2e-16  2e-13\n",
      "15:  3.6817e+04 -4.1057e+04  8e+04  2e-16  4e-14\n",
      "16:  5.2256e+03 -5.9274e+03  1e+04  3e-16  2e-14\n",
      "17:  7.2867e+02 -8.6872e+02  2e+03  2e-16  1e-14\n",
      "18:  9.6308e+01 -1.3234e+02  2e+02  1e-16  5e-15\n",
      "19:  1.0274e+01 -2.2264e+01  3e+01  1e-16  1e-15\n",
      "20: -3.6374e-01 -4.8074e+00  4e+00  2e-16  8e-16\n",
      "21: -1.3591e+00 -1.8161e+00  5e-01  1e-16  2e-16\n",
      "22: -1.4411e+00 -1.4963e+00  6e-02  1e-16  9e-17\n",
      "23: -1.4462e+00 -1.4493e+00  3e-03  1e-16  6e-17\n",
      "24: -1.4462e+00 -1.4463e+00  4e-05  1e-16  9e-17\n",
      "25: -1.4462e+00 -1.4462e+00  4e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.9394e+01 -1.0610e+06  2e+02  1e+00  1e+00\n",
      " 2:  6.8971e+01 -2.0977e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.0555e+01 -2.9871e+07  6e+03  1e+00  1e+00\n",
      " 4:  3.8594e+00 -2.9944e+08  6e+04  1e+00  1e+00\n",
      " 5:  4.3327e+00 -2.3692e+10  5e+06  1e+00  1e+00\n",
      " 6:  1.5295e+09 -5.6733e+17  6e+17  5e-13  6e-04\n",
      " 7:  1.5295e+09 -5.6733e+15  6e+15  5e-15  4e-04\n",
      " 8:  1.5295e+09 -5.6738e+13  6e+13  2e-16  5e-06\n",
      " 9:  1.5293e+09 -5.7260e+11  6e+11  8e-17  7e-08\n",
      "10:  1.5147e+09 -1.0908e+10  1e+10  1e-16  2e-09\n",
      "11:  8.8829e+08 -2.8610e+09  4e+09  3e-16  2e-09\n",
      "12:  1.3457e+08 -1.0947e+09  1e+09  2e-16  5e-12\n",
      "13:  3.1551e+07 -4.6364e+07  8e+07  2e-16  2e-12\n",
      "14:  4.5988e+06 -5.0012e+06  1e+07  1e-16  1e-12\n",
      "15:  6.6039e+05 -7.3709e+05  1e+06  2e-16  4e-13\n",
      "16:  9.4492e+04 -1.0490e+05  2e+05  1e-16  2e-13\n",
      "17:  1.3458e+04 -1.5102e+04  3e+04  1e-16  6e-14\n",
      "18:  1.8953e+03 -2.1960e+03  4e+03  1e-16  3e-14\n",
      "19:  2.5847e+02 -3.2752e+02  6e+02  2e-16  6e-15\n",
      "20:  3.1595e+01 -5.2141e+01  8e+01  2e-16  2e-15\n",
      "21:  1.9644e+00 -9.8042e+00  1e+01  1e-16  1e-15\n",
      "22: -1.2616e+00 -2.7362e+00  1e+00  2e-16  3e-16\n",
      "23: -1.4616e+00 -1.5536e+00  9e-02  1e-16  2e-16\n",
      "24: -1.4693e+00 -1.4752e+00  6e-03  2e-16  2e-16\n",
      "25: -1.4694e+00 -1.4694e+00  7e-05  1e-16  1e-16\n",
      "26: -1.4694e+00 -1.4694e+00  7e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.5895e+01 -1.2922e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.4334e+01 -2.4820e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.5732e+01 -9.2080e+06  2e+03  1e+00  1e+00\n",
      " 4:  4.6426e+01 -6.5547e+07  1e+04  1e+00  1e+00\n",
      " 5:  4.9324e+01 -6.7807e+09  1e+06  1e+00  1e+00\n",
      " 6:  3.4115e+08 -1.6168e+17  2e+17  4e-13  1e-04\n",
      " 7:  3.4115e+08 -1.6168e+15  2e+15  4e-15  1e-04\n",
      " 8:  3.4115e+08 -1.6172e+13  2e+13  2e-16  7e-07\n",
      " 9:  3.4105e+08 -1.6559e+11  2e+11  3e-16  6e-09\n",
      "10:  3.3195e+08 -5.4313e+09  6e+09  3e-16  2e-10\n",
      "11:  9.4771e+07 -9.2771e+08  1e+09  2e-16  1e-08\n",
      "12:  2.2874e+07 -4.7018e+07  7e+07  3e-16  5e-10\n",
      "13:  3.3670e+06 -3.6229e+06  7e+06  2e-16  1e-12\n",
      "14:  4.8378e+05 -5.4274e+05  1e+06  2e-16  4e-13\n",
      "15:  6.9203e+04 -7.6967e+04  1e+05  2e-16  1e-13\n",
      "16:  9.8477e+03 -1.1086e+04  2e+04  1e-16  4e-14\n",
      "17:  1.3832e+03 -1.6152e+03  3e+03  1e-16  2e-14\n",
      "18:  1.8710e+02 -2.4227e+02  4e+02  3e-16  8e-15\n",
      "19:  2.2137e+01 -3.9156e+01  6e+01  1e-16  3e-15\n",
      "20:  9.0612e-01 -7.6498e+00  9e+00  2e-16  1e-15\n",
      "21: -1.3108e+00 -2.3313e+00  1e+00  2e-16  3e-16\n",
      "22: -1.4598e+00 -1.6224e+00  2e-01  2e-16  8e-17\n",
      "23: -1.4822e+00 -1.4963e+00  1e-02  3e-16  6e-17\n",
      "24: -1.4828e+00 -1.4832e+00  4e-04  3e-16  7e-17\n",
      "25: -1.4828e+00 -1.4828e+00  4e-06  2e-16  9e-17\n",
      "26: -1.4828e+00 -1.4828e+00  4e-08  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.9679e+01 -1.5107e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0792e+02 -2.5795e+06  5e+02  1e+00  1e+00\n",
      " 3:  9.0014e+00 -1.7169e+07  4e+03  1e+00  1e+00\n",
      " 4:  9.9761e+00 -8.5983e+07  2e+04  1e+00  1e+00\n",
      " 5:  1.6470e+01 -1.2598e+09  3e+05  1e+00  1e+00\n",
      " 6:  2.1934e+01 -2.9516e+11  6e+07  1e+00  1e+00\n",
      " 7:  1.7072e+09 -6.6498e+18  7e+18  4e-13  8e-03\n",
      " 8:  1.7072e+09 -6.6498e+16  7e+16  4e-15  4e-03\n",
      " 9:  1.7072e+09 -6.6498e+14  7e+14  2e-16  6e-05\n",
      "10:  1.7072e+09 -6.6574e+12  7e+12  1e-16  7e-07\n",
      "11:  1.7056e+09 -7.4103e+10  8e+10  2e-16  9e-09\n",
      "12:  1.5786e+09 -7.9056e+09  9e+09  1e-16  4e-09\n",
      "13:  2.5989e+08 -7.3212e+09  8e+09  2e-16  2e-09\n",
      "14:  9.6150e+07 -5.1493e+08  6e+08  1e-16  1e-10\n",
      "15:  1.5815e+07 -2.1921e+07  4e+07  2e-16  3e-12\n",
      "16:  2.2754e+06 -2.5142e+06  5e+06  2e-16  6e-13\n",
      "17:  3.2642e+05 -3.6332e+05  7e+05  2e-16  2e-13\n",
      "18:  4.6658e+04 -5.1923e+04  1e+05  2e-16  1e-13\n",
      "19:  6.6292e+03 -7.4906e+03  1e+04  2e-16  3e-14\n",
      "20:  9.2725e+02 -1.0954e+03  2e+03  2e-16  2e-14\n",
      "21:  1.2376e+02 -1.6582e+02  3e+02  2e-16  6e-15\n",
      "22:  1.3796e+01 -2.7462e+01  4e+01  2e-16  2e-15\n",
      "23: -4.7548e-02 -5.7285e+00  6e+00  2e-16  6e-16\n",
      "24: -1.3937e+00 -2.1680e+00  8e-01  1e-16  2e-16\n",
      "25: -1.4956e+00 -1.5982e+00  1e-01  2e-16  6e-17\n",
      "26: -1.4982e+00 -1.5015e+00  3e-03  2e-16  6e-17\n",
      "27: -1.4982e+00 -1.4983e+00  4e-05  2e-16  5e-17\n",
      "28: -1.4982e+00 -1.4982e+00  4e-07  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  7.5731e+01 -1.8850e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2624e+02 -3.1881e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.2529e+01 -1.5518e+07  3e+03  1e+00  1e+00\n",
      " 4:  7.1635e+01 -9.8387e+07  2e+04  1e+00  1e+00\n",
      " 5:  7.8780e+01 -1.0241e+10  2e+06  1e+00  1e+00\n",
      " 6:  4.4257e+08 -2.4404e+17  2e+17  5e-13  2e-04\n",
      " 7:  4.4257e+08 -2.4404e+15  2e+15  5e-15  8e-05\n",
      " 8:  4.4257e+08 -2.4410e+13  2e+13  1e-16  1e-06\n",
      " 9:  4.4244e+08 -2.4955e+11  2e+11  2e-16  2e-08\n",
      "10:  4.3034e+08 -7.8378e+09  8e+09  2e-16  7e-10\n",
      "11:  1.6365e+08 -1.3054e+09  1e+09  2e-16  3e-10\n",
      "12:  3.6958e+07 -7.3357e+07  1e+08  1e-16  1e-11\n",
      "13:  5.4293e+06 -5.8754e+06  1e+07  2e-16  1e-12\n",
      "14:  7.8035e+05 -8.7510e+05  2e+06  2e-16  5e-13\n",
      "15:  1.1169e+05 -1.2407e+05  2e+05  2e-16  2e-13\n",
      "16:  1.5915e+04 -1.7846e+04  3e+04  2e-16  5e-14\n",
      "17:  2.2438e+03 -2.5920e+03  5e+03  2e-16  2e-14\n",
      "18:  3.0699e+02 -3.8564e+02  7e+02  3e-16  9e-15\n",
      "19:  3.7993e+01 -6.1013e+01  1e+02  1e-16  4e-15\n",
      "20:  2.6587e+00 -1.1291e+01  1e+01  2e-16  1e-15\n",
      "21: -1.2553e+00 -3.0334e+00  2e+00  2e-16  5e-16\n",
      "22: -1.5021e+00 -1.6322e+00  1e-01  2e-16  1e-16\n",
      "23: -1.5081e+00 -1.5160e+00  8e-03  2e-16  7e-17\n",
      "24: -1.5082e+00 -1.5083e+00  9e-05  2e-16  8e-17\n",
      "25: -1.5082e+00 -1.5082e+00  9e-07  1e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  9.0025e+01 -2.2913e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.5208e+02 -3.8969e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.7108e+01 -1.8120e+07  4e+03  1e+00  1e+00\n",
      " 4:  4.6179e+01 -7.9581e+07  2e+04  1e+00  1e+00\n",
      " 5:  6.5610e+01 -1.7659e+09  4e+05  1e+00  1e+00\n",
      " 6:  9.3216e+01 -2.0895e+12  5e+08  1e+00  1e+00\n",
      " 7:  4.2110e+08 -3.3570e+19  3e+19  5e-13  3e-02\n",
      " 8:  4.2110e+08 -3.3570e+17  3e+17  5e-15  2e-02\n",
      " 9:  4.2110e+08 -3.3570e+15  3e+15  2e-16  2e-04\n",
      "10:  4.2109e+08 -3.3577e+13  3e+13  2e-16  3e-06\n",
      "11:  4.2099e+08 -3.4200e+11  3e+11  2e-16  3e-08\n",
      "12:  4.1105e+08 -9.5257e+09  1e+10  1e-16  8e-10\n",
      "13:  1.7325e+08 -1.1840e+09  1e+09  2e-16  7e-09\n",
      "14:  3.6580e+07 -7.1373e+07  1e+08  1e-16  3e-10\n",
      "15:  5.3376e+06 -5.7789e+06  1e+07  1e-16  2e-12\n",
      "16:  7.6731e+05 -8.6104e+05  2e+06  2e-16  4e-13\n",
      "17:  1.0983e+05 -1.2202e+05  2e+05  2e-16  1e-13\n",
      "18:  1.5650e+04 -1.7550e+04  3e+04  2e-16  5e-14\n",
      "19:  2.2064e+03 -2.5488e+03  5e+03  2e-16  2e-14\n",
      "20:  3.0188e+02 -3.7919e+02  7e+02  2e-16  8e-15\n",
      "21:  3.7352e+01 -5.9997e+01  1e+02  2e-16  3e-15\n",
      "22:  2.5996e+00 -1.1111e+01  1e+01  1e-16  1e-15\n",
      "23: -1.2564e+00 -3.0006e+00  2e+00  1e-16  4e-16\n",
      "24: -1.5070e+00 -1.6274e+00  1e-01  2e-16  2e-16\n",
      "25: -1.5135e+00 -1.5225e+00  9e-03  2e-16  8e-17\n",
      "26: -1.5137e+00 -1.5138e+00  1e-04  2e-16  8e-17\n",
      "27: -1.5137e+00 -1.5137e+00  1e-06  2e-16  8e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  OHQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.5954e+02 -1.7427e+06  3e+02  1e+00  1e+00\n",
      " 2:  8.6414e+00 -4.1077e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.0741e+02 -1.3809e+08  3e+04  1e+00  1e+00\n",
      " 4:  1.5808e+02 -8.3913e+11  4e+08  1e+00  1e+00\n",
      " 5:  3.1951e+09 -4.1479e+18  4e+18  2e-13  2e-03\n",
      " 6:  3.1951e+09 -4.1479e+16  4e+16  2e-15  1e-04\n",
      " 7:  3.1951e+09 -4.1480e+14  4e+14  3e-16  2e-06\n",
      " 8:  3.1951e+09 -4.1562e+12  4e+12  2e-16  1e-07\n",
      " 9:  3.1929e+09 -4.9840e+10  5e+10  2e-16  8e-10\n",
      "10:  3.0593e+09 -8.6054e+09  1e+10  4e-16  2e-10\n",
      "11:  9.1505e+07 -1.6141e+10  2e+10  4e-16  1e-10\n",
      "12:  5.8925e+07 -4.1722e+08  5e+08  1e-16  3e-12\n",
      "13:  9.6561e+06 -1.6322e+07  3e+07  2e-16  5e-13\n",
      "14:  1.3856e+06 -1.5108e+06  3e+06  2e-16  1e-13\n",
      "15:  1.9793e+05 -2.2270e+05  4e+05  1e-16  4e-14\n",
      "16:  2.7987e+04 -3.2112e+04  6e+04  1e-16  6e-15\n",
      "17:  3.8583e+03 -4.7487e+03  9e+03  1e-16  9e-15\n",
      "18:  4.9008e+02 -7.4039e+02  1e+03  1e-16  2e-15\n",
      "19:  4.1323e+01 -1.3244e+02  2e+02  2e-16  1e-16\n",
      "20: -1.1128e+01 -3.3525e+01  2e+01  1e-16  3e-16\n",
      "21: -1.6656e+01 -1.9973e+01  3e+00  2e-16  3e-17\n",
      "22: -1.7154e+01 -1.7447e+01  3e-01  8e-17  6e-17\n",
      "23: -1.7162e+01 -1.7166e+01  5e-03  2e-16  1e-16\n",
      "24: -1.7162e+01 -1.7162e+01  5e-05  1e-16  5e-17\n",
      "25: -1.7162e+01 -1.7162e+01  5e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.7652e+02 -2.6088e+06  5e+02  1e+00  1e+00\n",
      " 2:  1.4051e+02 -4.0646e+06  8e+02  1e+00  1e+00\n",
      " 3:  6.2108e+01 -2.2124e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.8205e+02 -1.8907e+08  4e+04  1e+00  1e+00\n",
      " 5:  3.3934e+01 -1.9988e+11  5e+07  1e+00  1e+00\n",
      " 6:  2.7011e+09 -3.3465e+18  3e+18  4e-13  6e-04\n",
      " 7:  2.7011e+09 -3.3465e+16  3e+16  4e-15  3e-04\n",
      " 8:  2.7011e+09 -3.3467e+14  3e+14  2e-16  7e-06\n",
      " 9:  2.7011e+09 -3.3659e+12  3e+12  1e-16  6e-08\n",
      "10:  2.7002e+09 -5.2828e+10  6e+10  2e-16  1e-09\n",
      "11:  2.5057e+09 -1.6934e+10  2e+10  2e-16  4e-10\n",
      "12:  5.1982e+07 -2.1338e+10  2e+10  1e-15  3e-10\n",
      "13:  3.8274e+07 -3.1553e+08  4e+08  4e-16  5e-12\n",
      "14:  6.4619e+06 -1.0237e+07  2e+07  2e-16  3e-13\n",
      "15:  9.2431e+05 -9.9923e+05  2e+06  2e-16  2e-13\n",
      "16:  1.3168e+05 -1.4869e+05  3e+05  2e-16  5e-14\n",
      "17:  1.8515e+04 -2.1562e+04  4e+04  2e-16  2e-14\n",
      "18:  2.5121e+03 -3.2278e+03  6e+03  8e-17  6e-15\n",
      "19:  3.0097e+02 -5.1872e+02  8e+02  2e-16  2e-15\n",
      "20:  1.4913e+01 -9.9856e+01  1e+02  2e-16  8e-16\n",
      "21: -1.5312e+01 -2.9308e+01  1e+01  2e-16  3e-16\n",
      "22: -1.7155e+01 -2.0397e+01  3e+00  2e-16  1e-16\n",
      "23: -1.7679e+01 -1.8255e+01  6e-01  2e-16  8e-17\n",
      "24: -1.7689e+01 -1.7701e+01  1e-02  3e-16  4e-17\n",
      "25: -1.7689e+01 -1.7690e+01  1e-04  1e-16  9e-17\n",
      "26: -1.7689e+01 -1.7689e+01  1e-06  1e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.9682e+02 -3.6392e+06  6e+02  1e+00  1e+00\n",
      " 2:  2.7348e+02 -5.1924e+06  9e+02  1e+00  1e+00\n",
      " 3:  2.3997e+02 -8.8712e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.2431e+02 -7.8979e+07  2e+04  1e+00  1e+00\n",
      " 5:  3.0080e+02 -1.9619e+09  4e+05  1e+00  1e+00\n",
      " 6:  4.3224e+01 -6.6612e+12  2e+09  1e+00  1e+00\n",
      " 7:  2.9085e+09 -5.7154e+19  6e+19  6e-14  9e-03\n",
      " 8:  2.9085e+09 -5.7154e+17  6e+17  7e-16  3e-03\n",
      " 9:  2.9085e+09 -5.7155e+15  6e+15  2e-16  7e-05\n",
      "10:  2.9085e+09 -5.7187e+13  6e+13  7e-17  7e-07\n",
      "11:  2.9084e+09 -6.0473e+11  6e+11  2e-16  1e-08\n",
      "12:  2.8950e+09 -3.8740e+10  4e+10  3e-16  1e-09\n",
      "13:  1.1818e+08 -4.1438e+10  4e+10  2e-16  8e-10\n",
      "14:  8.8511e+07 -7.1051e+08  8e+08  1e-16  2e-11\n",
      "15:  1.5453e+07 -2.5593e+07  4e+07  1e-16  8e-13\n",
      "16:  2.2150e+06 -2.3832e+06  5e+06  2e-16  2e-13\n",
      "17:  3.1649e+05 -3.5536e+05  7e+05  9e-17  4e-14\n",
      "18:  4.4816e+04 -5.1159e+04  1e+05  2e-16  2e-14\n",
      "19:  6.2083e+03 -7.5404e+03  1e+04  9e-17  9e-15\n",
      "20:  8.0282e+02 -1.1642e+03  2e+03  2e-16  4e-15\n",
      "21:  7.6375e+01 -2.0271e+02  3e+02  2e-16  6e-16\n",
      "22: -1.0115e+01 -4.7451e+01  4e+01  2e-16  3e-16\n",
      "23: -1.7136e+01 -2.1394e+01  4e+00  2e-16  8e-17\n",
      "24: -1.7836e+01 -1.9409e+01  2e+00  2e-16  2e-16\n",
      "25: -1.7856e+01 -1.7885e+01  3e-02  2e-16  1e-16\n",
      "26: -1.7856e+01 -1.7856e+01  3e-04  1e-16  9e-17\n",
      "27: -1.7856e+01 -1.7856e+01  3e-06  1e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.0448e+02 -4.6426e+06  7e+02  1e+00  1e+00\n",
      " 2:  4.2957e+02 -7.9576e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.8730e+02 -1.0400e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.7253e+02 -2.2876e+07  4e+03  1e+00  1e+00\n",
      " 5: -1.2559e+00 -7.3645e+08  1e+05  1e+00  1e+00\n",
      " 6:  6.5484e+01 -2.3508e+10  5e+06  1e+00  1e+00\n",
      " 7:  5.5083e+01 -2.4592e+13  6e+09  1e+00  1e+00\n",
      " 8:  7.3635e+09 -4.0305e+20  4e+20  3e-13  5e-02\n",
      " 9:  7.3635e+09 -4.0305e+18  4e+18  3e-15  4e-02\n",
      "10:  7.3635e+09 -4.0305e+16  4e+16  2e-16  4e-04\n",
      "11:  7.3635e+09 -4.0308e+14  4e+14  7e-17  4e-06\n",
      "12:  7.3630e+09 -4.0584e+12  4e+12  1e-16  6e-08\n",
      "13:  7.3152e+09 -6.8079e+10  8e+10  1e-16  1e-09\n",
      "14:  5.6983e+09 -2.3787e+10  3e+10  9e-17  4e-09\n",
      "15:  1.5434e+09 -2.3909e+10  3e+10  2e-16  2e-09\n",
      "16:  5.4654e+08 -1.7996e+09  2e+09  2e-16  2e-10\n",
      "17:  8.4809e+07 -1.0114e+08  2e+08  2e-16  2e-12\n",
      "18:  1.2225e+07 -1.3779e+07  3e+07  2e-16  2e-13\n",
      "19:  1.7526e+06 -1.9530e+06  4e+06  1e-16  2e-13\n",
      "20:  2.5007e+05 -2.7998e+05  5e+05  3e-16  4e-14\n",
      "21:  3.5352e+04 -4.0550e+04  8e+04  2e-16  2e-14\n",
      "22:  4.8739e+03 -5.9971e+03  1e+04  2e-16  9e-15\n",
      "23:  6.1998e+02 -9.3482e+02  2e+03  2e-16  4e-15\n",
      "24:  5.3326e+01 -1.6670e+02  2e+02  6e-17  6e-16\n",
      "25: -1.2316e+01 -4.1222e+01  3e+01  2e-16  4e-16\n",
      "26: -1.7132e+01 -2.1623e+01  4e+00  2e-16  1e-16\n",
      "27: -1.7860e+01 -1.9017e+01  1e+00  1e-16  1e-16\n",
      "28: -1.7935e+01 -1.8006e+01  7e-02  2e-16  1e-16\n",
      "29: -1.7937e+01 -1.7938e+01  1e-03  2e-16  1e-16\n",
      "30: -1.7937e+01 -1.7937e+01  1e-05  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.5526e+02 -7.7426e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.4483e+02 -9.6126e+06  2e+03  1e+00  1e+00\n",
      " 3:  4.7928e+02 -1.3292e+07  2e+03  1e+00  1e+00\n",
      " 4:  6.2381e+02 -4.7239e+07  9e+03  1e+00  1e+00\n",
      " 5:  2.3556e+02 -1.1682e+08  2e+04  1e+00  1e+00\n",
      " 6:  3.8084e+02 -1.6348e+09  3e+05  1e+00  1e+00\n",
      " 7:  4.7695e+02 -1.2108e+12  3e+08  1e+00  1e+00\n",
      " 8:  1.2720e+09 -2.2430e+19  2e+19  3e-13  2e-03\n",
      " 9:  1.2720e+09 -2.2430e+17  2e+17  3e-15  1e-03\n",
      "10:  1.2720e+09 -2.2430e+15  2e+15  2e-16  2e-05\n",
      "11:  1.2719e+09 -2.2474e+13  2e+13  2e-16  3e-07\n",
      "12:  1.2667e+09 -2.6794e+11  3e+11  2e-16  4e-09\n",
      "13:  9.2543e+08 -3.1538e+10  3e+10  2e-16  2e-09\n",
      "14:  1.8823e+08 -1.7572e+09  2e+09  2e-16  2e-11\n",
      "15:  3.5969e+07 -7.3597e+07  1e+08  2e-16  1e-12\n",
      "16:  5.2072e+06 -5.6233e+06  1e+07  2e-16  2e-13\n",
      "17:  7.4562e+05 -8.3593e+05  2e+06  1e-16  1e-13\n",
      "18:  1.0604e+05 -1.1968e+05  2e+05  1e-16  5e-14\n",
      "19:  1.4866e+04 -1.7466e+04  3e+04  2e-16  2e-14\n",
      "20:  1.9988e+03 -2.6303e+03  5e+03  2e-16  6e-15\n",
      "21:  2.3076e+02 -4.2967e+02  7e+02  1e-16  2e-15\n",
      "22:  5.7319e+00 -8.6108e+01  9e+01  2e-16  1e-15\n",
      "23: -1.6789e+01 -2.7487e+01  1e+01  1e-16  3e-16\n",
      "24: -1.7881e+01 -1.9053e+01  1e+00  1e-16  2e-16\n",
      "25: -1.7999e+01 -1.8137e+01  1e-01  2e-16  1e-16\n",
      "26: -1.8002e+01 -1.8005e+01  3e-03  2e-16  2e-16\n",
      "27: -1.8002e+01 -1.8002e+01  3e-05  1e-16  1e-16\n",
      "28: -1.8002e+01 -1.8002e+01  3e-07  7e-17  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.6506e+02 -9.1779e+06  1e+03  1e+00  1e+00\n",
      " 2:  5.2913e+02 -1.1878e+07  2e+03  1e+00  1e+00\n",
      " 3:  6.8650e+02 -1.6947e+07  3e+03  1e+00  1e+00\n",
      " 4:  7.2628e+02 -4.3917e+07  9e+03  1e+00  1e+00\n",
      " 5:  7.9003e+02 -2.2279e+08  4e+04  1e+00  1e+00\n",
      " 6:  1.5776e+02 -2.4775e+10  5e+06  1e+00  1e+00\n",
      " 7:  2.0252e+02 -5.3932e+12  1e+09  1e+00  1e+00\n",
      " 8:  9.0179e+09 -1.1626e+20  1e+20  4e-13  1e-02\n",
      " 9:  9.0179e+09 -1.1626e+18  1e+18  4e-15  6e-03\n",
      "10:  9.0179e+09 -1.1626e+16  1e+16  2e-16  1e-04\n",
      "11:  9.0178e+09 -1.1631e+14  1e+14  3e-16  1e-06\n",
      "12:  9.0133e+09 -1.2152e+12  1e+12  1e-16  1e-08\n",
      "13:  8.6278e+09 -6.3355e+10  7e+10  2e-16  8e-10\n",
      "14:  3.2279e+09 -5.2629e+10  6e+10  1e-16  4e-10\n",
      "15:  1.1946e+09 -3.2616e+09  4e+09  2e-16  3e-11\n",
      "16:  1.9075e+08 -2.3006e+08  4e+08  1e-16  2e-12\n",
      "17:  2.7496e+07 -3.0852e+07  6e+07  2e-16  4e-13\n",
      "18:  3.9441e+06 -4.3856e+06  8e+06  1e-16  3e-13\n",
      "19:  5.6366e+05 -6.2783e+05  1e+06  2e-16  1e-13\n",
      "20:  8.0044e+04 -9.0587e+04  2e+05  2e-16  3e-14\n",
      "21:  1.1181e+04 -1.3261e+04  2e+04  2e-16  2e-14\n",
      "22:  1.4867e+03 -2.0127e+03  3e+03  2e-16  5e-15\n",
      "23:  1.6344e+02 -3.3515e+02  5e+02  2e-16  2e-15\n",
      "24: -1.7012e+00 -7.0379e+01  7e+01  2e-16  5e-16\n",
      "25: -1.7203e+01 -2.4697e+01  7e+00  2e-16  2e-16\n",
      "26: -1.7885e+01 -1.9064e+01  1e+00  9e-17  1e-16\n",
      "27: -1.8048e+01 -1.8203e+01  2e-01  1e-16  9e-17\n",
      "28: -1.8054e+01 -1.8059e+01  5e-03  3e-16  9e-17\n",
      "29: -1.8054e+01 -1.8054e+01  5e-05  2e-16  6e-17\n",
      "30: -1.8054e+01 -1.8054e+01  5e-07  2e-16  8e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.6392e+02 -8.3465e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.4292e+02 -9.8945e+06  1e+03  1e+00  1e+00\n",
      " 3:  6.7720e+02 -1.5227e+07  3e+03  1e+00  1e+00\n",
      " 4:  8.8281e+02 -1.9844e+07  4e+03  1e+00  1e+00\n",
      " 5:  4.8386e+02 -5.8181e+07  1e+04  1e+00  1e+00\n",
      " 6:  5.2691e+02 -7.0954e+07  1e+04  1e+00  1e+00\n",
      " 7:  5.3550e+02 -8.9735e+07  2e+04  1e+00  1e+00\n",
      " 8:  5.5366e+02 -1.5640e+08  3e+04  1e+00  1e+00\n",
      " 9:  5.9637e+02 -6.4097e+08  1e+05  1e+00  1e+00\n",
      "10:  9.9981e+02 -7.5437e+10  2e+07  1e+00  1e+00\n",
      "11:  1.8080e+09 -1.7748e+18  2e+18  7e-13  2e-04\n",
      "12:  1.8080e+09 -1.7748e+16  2e+16  7e-15  5e-05\n",
      "13:  1.8080e+09 -1.7748e+14  2e+14  2e-16  8e-07\n",
      "14:  1.8072e+09 -1.7812e+12  2e+12  1e-16  1e-08\n",
      "15:  1.7307e+09 -2.3888e+10  3e+10  2e-16  4e-10\n",
      "16:  5.0244e+08 -1.3647e+09  2e+09  1e-16  2e-09\n",
      "17:  7.7206e+07 -9.0725e+07  2e+08  3e-16  2e-11\n",
      "18:  1.1095e+07 -1.2393e+07  2e+07  2e-16  5e-13\n",
      "19:  1.5891e+06 -1.7671e+06  3e+06  1e-16  6e-14\n",
      "20:  2.2658e+05 -2.5373e+05  5e+05  2e-16  4e-14\n",
      "21:  3.1995e+04 -3.6798e+04  7e+04  1e-16  3e-14\n",
      "22:  4.3977e+03 -5.4556e+03  1e+04  2e-16  1e-14\n",
      "23:  5.5352e+02 -8.5549e+02  1e+03  3e-16  3e-15\n",
      "24:  4.4270e+01 -1.5481e+02  2e+02  2e-16  8e-16\n",
      "25: -1.3675e+01 -3.9556e+01  3e+01  3e-16  3e-16\n",
      "26: -1.7667e+01 -2.0081e+01  2e+00  2e-16  1e-16\n",
      "27: -1.7843e+01 -2.0749e+01  3e+00  2e-16  2e-16\n",
      "28: -1.8042e+01 -1.8499e+01  5e-01  1e-16  9e-17\n",
      "29: -1.8072e+01 -1.8105e+01  3e-02  1e-16  9e-17\n",
      "30: -1.8073e+01 -1.8073e+01  4e-04  1e-16  9e-17\n",
      "31: -1.8073e+01 -1.8073e+01  4e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.6130e+02 -9.3131e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.8112e+02 -1.1864e+07  2e+03  1e+00  1e+00\n",
      " 3:  9.2410e+02 -2.0422e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.1141e+03 -2.5468e+07  5e+03  1e+00  1e+00\n",
      " 5:  3.9869e+02 -8.0273e+07  2e+04  1e+00  1e+00\n",
      " 6:  5.2478e+02 -2.1756e+08  4e+04  1e+00  1e+00\n",
      " 7:  5.5010e+02 -5.5310e+08  1e+05  1e+00  1e+00\n",
      " 8:  5.8493e+02 -3.8594e+09  8e+05  1e+00  1e+00\n",
      " 9:  6.1940e+02 -2.2135e+11  5e+07  1e+00  1e+00\n",
      "10:  1.6842e+03 -4.0029e+15  4e+12  1e+00  1e+00\n",
      "11:  6.8653e+09 -4.3748e+21  4e+21  1e-13  9e+03\n",
      "12:  6.8653e+09 -4.3748e+19  4e+19  1e-15  9e+01\n",
      "13:  6.8653e+09 -4.3748e+17  4e+17  1e-16  9e-01\n",
      "14:  6.8653e+09 -4.3748e+15  4e+15  1e-16  9e-03\n",
      "15:  6.8652e+09 -4.3795e+13  4e+13  2e-16  9e-05\n",
      "16:  6.8540e+09 -4.8488e+11  5e+11  2e-16  7e-06\n",
      "17:  6.0212e+09 -4.7057e+10  5e+10  1e-16  3e-07\n",
      "18:  1.0328e+09 -1.5813e+10  2e+10  2e-16  3e-09\n",
      "19:  2.4212e+08 -5.9186e+08  8e+08  2e-16  1e-10\n",
      "20:  3.6279e+07 -4.0926e+07  8e+07  1e-16  1e-12\n",
      "21:  5.2046e+06 -5.7926e+06  1e+07  2e-16  2e-13\n",
      "22:  7.4418e+05 -8.2809e+05  2e+06  1e-16  1e-13\n",
      "23:  1.0581e+05 -1.1933e+05  2e+05  2e-16  4e-14\n",
      "24:  1.4831e+04 -1.7420e+04  3e+04  1e-16  2e-14\n",
      "25:  1.9935e+03 -2.6246e+03  5e+03  2e-16  8e-15\n",
      "26:  2.2990e+02 -4.2897e+02  7e+02  2e-16  3e-15\n",
      "27:  5.5149e+00 -8.6084e+01  9e+01  2e-16  9e-16\n",
      "28: -1.6934e+01 -2.7588e+01  1e+01  2e-16  3e-16\n",
      "29: -1.8008e+01 -1.8841e+01  8e-01  2e-16  1e-16\n",
      "30: -1.8086e+01 -1.8180e+01  9e-02  2e-16  1e-16\n",
      "31: -1.8087e+01 -1.8088e+01  1e-03  2e-16  1e-16\n",
      "32: -1.8087e+01 -1.8087e+01  1e-05  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  2.8073e+02 -1.0815e+07  1e+03  1e+00  1e+00\n",
      " 2:  1.1357e+03 -2.5032e+07  4e+03  1e+00  1e+00\n",
      " 3:  1.2361e+03 -2.8629e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.2712e+03 -4.1485e+07  8e+03  1e+00  1e+00\n",
      " 5:  1.1683e+03 -1.6911e+08  3e+04  1e+00  1e+00\n",
      " 6:  5.9633e+02 -7.6958e+08  2e+05  1e+00  1e+00\n",
      " 7:  1.1220e+03 -3.2085e+10  7e+06  1e+00  1e+00\n",
      " 8:  5.1614e+09 -7.7735e+17  8e+17  5e-13  5e-05\n",
      " 9:  5.1614e+09 -7.7738e+15  8e+15  5e-15  4e-05\n",
      "10:  5.1613e+09 -7.8080e+13  8e+13  1e-16  6e-07\n",
      "11:  5.1524e+09 -1.1219e+12  1e+12  3e-16  8e-09\n",
      "12:  4.4428e+09 -1.7204e+11  2e+11  2e-16  1e-09\n",
      "13:  1.9937e+09 -1.1306e+11  1e+11  2e-16  6e-10\n",
      "14:  9.9895e+08 -3.0434e+09  4e+09  2e-16  2e-11\n",
      "15:  1.6054e+08 -1.8723e+08  3e+08  2e-16  2e-12\n",
      "16:  2.3074e+07 -2.5643e+07  5e+07  2e-16  7e-13\n",
      "17:  3.3062e+06 -3.6664e+06  7e+06  2e-16  4e-13\n",
      "18:  4.7219e+05 -5.2587e+05  1e+06  1e-16  9e-14\n",
      "19:  6.6984e+04 -7.5983e+04  1e+05  2e-16  3e-14\n",
      "20:  9.3320e+03 -1.1149e+04  2e+04  2e-16  1e-14\n",
      "21:  1.2304e+03 -1.7015e+03  3e+03  1e-16  3e-15\n",
      "22:  1.2996e+02 -2.8733e+02  4e+02  1e-16  2e-15\n",
      "23: -5.3646e+00 -6.2405e+01  6e+01  2e-16  4e-16\n",
      "24: -1.7449e+01 -2.3366e+01  6e+00  6e-17  3e-16\n",
      "25: -1.7851e+01 -1.9680e+01  2e+00  1e-16  1e-16\n",
      "26: -1.8072e+01 -1.9186e+01  1e+00  2e-16  7e-17\n",
      "27: -1.8099e+01 -1.8172e+01  7e-02  1e-16  8e-17\n",
      "28: -1.8101e+01 -1.8103e+01  2e-03  3e-16  1e-16\n",
      "29: -1.8101e+01 -1.8101e+01  2e-05  2e-16  1e-16\n",
      "30: -1.8101e+01 -1.8101e+01  2e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "processing  OSQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  3.0903e+02 -3.1667e+06  6e+02  1e+00  1e+00\n",
      " 2: -3.3848e+00 -6.9817e+06  2e+03  1e+00  1e+00\n",
      " 3:  6.8964e+01 -7.5644e+07  2e+04  1e+00  1e+00\n",
      " 4:  1.4086e+02 -1.8932e+09  4e+05  1e+00  1e+00\n",
      " 5:  3.1179e+02 -5.4206e+12  2e+09  1e+00  1e+00\n",
      " 6:  3.7370e+04 -5.2677e+19  5e+19  3e-13  8e-03\n",
      " 7:  3.7370e+04 -5.2677e+17  5e+17  3e-15  4e-03\n",
      " 8:  3.7370e+04 -5.2677e+15  5e+15  1e-16  2e-05\n",
      " 9:  3.7370e+04 -5.2677e+13  5e+13  1e-16  1e-06\n",
      "10:  3.7370e+04 -5.2677e+11  5e+11  3e-16  2e-08\n",
      "11:  3.7355e+04 -5.2678e+09  5e+09  2e-16  2e-10\n",
      "12:  3.5907e+04 -5.2789e+07  5e+07  3e-17  2e-12\n",
      "13:  9.6425e+03 -5.4924e+05  6e+05  2e-16  3e-14\n",
      "14:  1.2922e+03 -7.1557e+03  8e+03  2e-16  3e-15\n",
      "15:  1.2663e+02 -3.6216e+02  5e+02  2e-16  2e-15\n",
      "16: -1.5931e+01 -7.6142e+01  6e+01  2e-16  6e-16\n",
      "17: -3.4830e+00 -1.7490e+02  2e+02  1e-16  4e-16\n",
      "18: -4.1140e+01 -5.9420e+01  2e+01  2e-16  1e-16\n",
      "19: -4.2424e+01 -4.5168e+01  3e+00  2e-16  1e-16\n",
      "20: -4.0765e+01 -4.6333e+01  6e+00  5e-16  3e-17\n",
      "21: -4.2324e+01 -4.3021e+01  7e-01  4e-17  7e-17\n",
      "22: -4.2500e+01 -4.2585e+01  8e-02  5e-17  4e-17\n",
      "23: -4.2510e+01 -4.2514e+01  5e-03  1e-16  3e-17\n",
      "24: -4.2510e+01 -4.2510e+01  5e-05  4e-16  4e-17\n",
      "25: -4.2510e+01 -4.2510e+01  5e-07  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.9254e+02 -5.4215e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.6415e+02 -6.0523e+06  1e+03  1e+00  1e+00\n",
      " 3:  4.5287e+02 -1.0228e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.1564e+01 -1.7148e+08  4e+04  1e+00  1e+00\n",
      " 5: -1.6327e+01 -3.4420e+09  7e+05  1e+00  1e+00\n",
      " 6:  5.0384e-01 -9.1674e+11  2e+08  1e+00  1e+00\n",
      " 7:  7.8838e+09 -1.9960e+19  2e+19  3e-13  2e-03\n",
      " 8:  7.8838e+09 -1.9960e+17  2e+17  3e-15  8e-04\n",
      " 9:  7.8838e+09 -1.9960e+15  2e+15  2e-16  4e-06\n",
      "10:  7.8836e+09 -1.9991e+13  2e+13  2e-16  2e-07\n",
      "11:  7.8690e+09 -2.3043e+11  2e+11  2e-16  2e-09\n",
      "12:  6.7812e+09 -2.8472e+10  4e+10  8e-17  4e-10\n",
      "13:  7.2841e+08 -1.3655e+10  1e+10  2e-16  1e-10\n",
      "14:  2.2421e+08 -8.8574e+08  1e+09  2e-16  7e-12\n",
      "15:  3.3901e+07 -4.1631e+07  8e+07  3e-16  3e-13\n",
      "16:  4.8701e+06 -5.4553e+06  1e+07  1e-16  2e-13\n",
      "17:  6.9626e+05 -7.8033e+05  1e+06  2e-17  2e-14\n",
      "18:  9.8711e+04 -1.1251e+05  2e+05  2e-16  2e-14\n",
      "19:  1.3710e+04 -1.6536e+04  3e+04  1e-16  4e-15\n",
      "20:  1.7874e+03 -2.5396e+03  4e+03  3e-16  2e-15\n",
      "21:  1.7743e+02 -4.3674e+02  6e+02  1e-16  1e-15\n",
      "22: -1.7453e+01 -9.9776e+01  8e+01  3e-16  4e-16\n",
      "23: -3.4265e+01 -5.4494e+01  2e+01  2e-16  9e-17\n",
      "24: -4.1698e+01 -5.0591e+01  9e+00  3e-17  2e-16\n",
      "25: -4.2430e+01 -4.3094e+01  7e-01  2e-16  1e-16\n",
      "26: -4.2549e+01 -4.2608e+01  6e-02  1e-16  9e-17\n",
      "27: -4.2554e+01 -4.2557e+01  2e-03  2e-16  7e-17\n",
      "28: -4.2554e+01 -4.2554e+01  2e-05  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  5.5027e+02 -8.8652e+06  2e+03  1e+00  1e+00\n",
      " 2:  5.1017e+02 -1.0343e+07  2e+03  1e+00  1e+00\n",
      " 3:  5.8354e+02 -1.7083e+07  3e+03  1e+00  1e+00\n",
      " 4:  8.9868e+01 -7.8095e+07  2e+04  1e+00  1e+00\n",
      " 5:  2.6714e+02 -5.6347e+08  1e+05  1e+00  1e+00\n",
      " 6:  3.0796e+02 -4.7122e+10  1e+07  1e+00  1e+00\n",
      " 7:  3.0034e+09 -1.1090e+18  1e+18  6e-13  1e-04\n",
      " 8:  3.0034e+09 -1.1090e+16  1e+16  6e-15  6e-05\n",
      " 9:  3.0034e+09 -1.1093e+14  1e+14  2e-16  8e-07\n",
      "10:  3.0025e+09 -1.1396e+12  1e+12  1e-16  1e-08\n",
      "11:  2.9198e+09 -4.0835e+10  4e+10  2e-16  4e-10\n",
      "12:  4.4863e+08 -8.3204e+09  9e+09  2e-16  6e-09\n",
      "13:  1.3140e+08 -3.0275e+08  4e+08  2e-16  2e-10\n",
      "14:  1.9872e+07 -2.2414e+07  4e+07  1e-16  3e-12\n",
      "15:  2.8488e+06 -3.1903e+06  6e+06  2e-16  1e-13\n",
      "16:  4.0605e+05 -4.5666e+05  9e+05  1e-16  6e-14\n",
      "17:  5.7212e+04 -6.6307e+04  1e+05  3e-16  4e-14\n",
      "18:  7.8093e+03 -9.8786e+03  2e+04  2e-16  5e-15\n",
      "19:  9.5777e+02 -1.5700e+03  3e+03  7e-17  4e-15\n",
      "20:  6.1749e+01 -2.9385e+02  4e+02  1e-16  8e-16\n",
      "21: -3.6123e+01 -8.0948e+01  4e+01  2e-16  2e-16\n",
      "22: -4.2137e+01 -4.4871e+01  3e+00  3e-16  1e-16\n",
      "23: -4.2540e+01 -4.2827e+01  3e-01  2e-16  6e-17\n",
      "24: -4.2585e+01 -4.2608e+01  2e-02  2e-16  2e-16\n",
      "25: -4.2585e+01 -4.2586e+01  3e-04  1e-16  1e-16\n",
      "26: -4.2585e+01 -4.2585e+01  3e-06  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.8041e+02 -9.8476e+06  2e+03  1e+00  1e+00\n",
      " 2:  5.7568e+02 -1.1735e+07  2e+03  1e+00  1e+00\n",
      " 3:  7.7388e+02 -1.5753e+07  3e+03  1e+00  1e+00\n",
      " 4:  9.7927e+02 -2.7369e+07  5e+03  1e+00  1e+00\n",
      " 5:  2.5923e+02 -1.7071e+08  3e+04  1e+00  1e+00\n",
      " 6:  3.9682e+02 -1.7200e+09  3e+05  1e+00  1e+00\n",
      " 7:  4.9387e+02 -2.7948e+11  6e+07  1e+00  1e+00\n",
      " 8:  3.5226e+09 -6.3769e+18  6e+18  3e-13  2e-04\n",
      " 9:  3.5226e+09 -6.3769e+16  6e+16  3e-15  2e-04\n",
      "10:  3.5226e+09 -6.3778e+14  6e+14  1e-16  4e-06\n",
      "11:  3.5221e+09 -6.4702e+12  6e+12  1e-16  3e-08\n",
      "12:  3.4710e+09 -1.5567e+11  2e+11  2e-16  9e-10\n",
      "13:  9.8722e+08 -1.5875e+10  2e+10  1e-16  1e-08\n",
      "14:  2.9247e+08 -8.5635e+08  1e+09  2e-16  7e-10\n",
      "15:  4.4567e+07 -5.1300e+07  1e+08  3e-16  6e-12\n",
      "16:  6.4010e+06 -7.1760e+06  1e+07  2e-16  2e-13\n",
      "17:  9.1469e+05 -1.0235e+06  2e+06  2e-16  7e-14\n",
      "18:  1.2967e+05 -1.4773e+05  3e+05  1e-16  3e-14\n",
      "19:  1.8016e+04 -2.1711e+04  4e+04  1e-16  6e-15\n",
      "20:  2.3530e+03 -3.3324e+03  6e+03  2e-16  3e-15\n",
      "21:  2.3676e+02 -5.7133e+02  8e+02  3e-16  1e-15\n",
      "22: -1.9332e+01 -1.2872e+02  1e+02  2e-16  1e-15\n",
      "23: -4.1200e+01 -5.1777e+01  1e+01  3e-16  2e-16\n",
      "24: -4.2338e+01 -4.3319e+01  1e+00  1e-16  1e-16\n",
      "25: -4.2577e+01 -4.2695e+01  1e-01  3e-16  1e-16\n",
      "26: -4.2592e+01 -4.2599e+01  7e-03  1e-16  1e-16\n",
      "27: -4.2593e+01 -4.2593e+01  3e-04  1e-16  5e-17\n",
      "28: -4.2593e+01 -4.2593e+01  3e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.6383e+02 -1.1587e+07  2e+03  1e+00  1e+00\n",
      " 2:  6.3061e+02 -1.4362e+07  2e+03  1e+00  1e+00\n",
      " 3:  9.3861e+02 -1.9574e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.1688e+03 -2.7523e+07  5e+03  1e+00  1e+00\n",
      " 5:  1.4741e+03 -7.0405e+07  1e+04  1e+00  1e+00\n",
      " 6:  6.4464e+02 -1.4487e+08  3e+04  1e+00  1e+00\n",
      " 7:  7.0310e+02 -1.0328e+09  2e+05  1e+00  1e+00\n",
      " 8:  7.5117e+02 -7.6947e+10  2e+07  1e+00  1e+00\n",
      " 9:  4.3541e+09 -1.8232e+18  2e+18  9e-13  1e-04\n",
      "10:  4.3541e+09 -1.8232e+16  2e+16  9e-15  7e-05\n",
      "11:  4.3541e+09 -1.8243e+14  2e+14  1e-16  9e-07\n",
      "12:  4.3527e+09 -1.9297e+12  2e+12  2e-16  1e-08\n",
      "13:  4.2203e+09 -1.2119e+11  1e+11  1e-16  2e-08\n",
      "14:  6.7829e+08 -8.2559e+10  8e+10  2e-16  8e-09\n",
      "15:  3.7202e+08 -1.8442e+09  2e+09  2e-16  2e-10\n",
      "16:  6.1241e+07 -8.1002e+07  1e+08  3e-16  4e-12\n",
      "17:  8.7746e+06 -9.5907e+06  2e+07  2e-16  2e-13\n",
      "18:  1.2545e+06 -1.3998e+06  3e+06  2e-16  6e-14\n",
      "19:  1.7817e+05 -2.0154e+05  4e+05  2e-16  4e-14\n",
      "20:  2.4899e+04 -2.9500e+04  5e+04  3e-16  2e-14\n",
      "21:  3.3147e+03 -4.4733e+03  8e+03  2e-16  4e-15\n",
      "22:  3.6623e+02 -7.4345e+02  1e+03  2e-16  2e-15\n",
      "23: -2.7033e+00 -1.5553e+02  2e+02  1e-16  6e-16\n",
      "24: -3.8118e+01 -5.4636e+01  2e+01  2e-16  2e-16\n",
      "25: -4.1455e+01 -4.5099e+01  4e+00  2e-16  1e-16\n",
      "26: -4.2504e+01 -4.3073e+01  6e-01  2e-16  9e-17\n",
      "27: -4.2599e+01 -4.2695e+01  1e-01  2e-16  1e-16\n",
      "28: -4.2611e+01 -4.2623e+01  1e-02  1e-16  7e-17\n",
      "29: -4.2612e+01 -4.2612e+01  3e-04  2e-16  5e-17\n",
      "30: -4.2612e+01 -4.2612e+01  3e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.3987e+02 -1.3098e+07  2e+03  1e+00  1e+00\n",
      " 2:  5.1790e+02 -1.4577e+07  2e+03  1e+00  1e+00\n",
      " 3:  6.2625e+02 -1.6527e+07  2e+03  1e+00  1e+00\n",
      " 4:  7.2760e+02 -1.8301e+07  3e+03  1e+00  1e+00\n",
      " 5:  8.6525e+02 -2.0798e+07  3e+03  1e+00  1e+00\n",
      " 6:  1.2126e+03 -2.7438e+07  5e+03  1e+00  1e+00\n",
      " 7:  1.7054e+03 -4.3805e+07  8e+03  1e+00  1e+00\n",
      " 8:  1.6339e+03 -1.1139e+08  2e+04  1e+00  1e+00\n",
      " 9:  3.7579e+02 -1.0698e+09  2e+05  1e+00  1e+00\n",
      "10:  6.2507e+02 -1.4535e+10  3e+06  1e+00  1e+00\n",
      "11:  7.2634e+02 -3.6646e+12  8e+08  1e+00  1e+00\n",
      "12:  9.8318e+09 -8.0552e+19  8e+19  5e-13  4e-03\n",
      "13:  9.8318e+09 -8.0552e+17  8e+17  5e-15  2e-03\n",
      "14:  9.8318e+09 -8.0555e+15  8e+15  2e-16  2e-05\n",
      "15:  9.8317e+09 -8.0774e+13  8e+13  3e-16  4e-07\n",
      "16:  9.8164e+09 -1.0272e+12  1e+12  2e-16  6e-09\n",
      "17:  8.9128e+09 -1.9672e+11  2e+11  1e-16  6e-08\n",
      "18:  2.6331e+09 -1.8817e+11  2e+11  2e-16  5e-08\n",
      "19:  1.4725e+09 -1.1136e+10  1e+10  2e-16  3e-09\n",
      "20:  2.6036e+08 -4.7621e+08  7e+08  1e-16  7e-11\n",
      "21:  3.7823e+07 -4.1464e+07  8e+07  2e-16  4e-13\n",
      "22:  5.4269e+06 -6.0734e+06  1e+07  3e-16  2e-13\n",
      "23:  7.7482e+05 -8.6607e+05  2e+06  1e-16  5e-14\n",
      "24:  1.0973e+05 -1.2526e+05  2e+05  2e-16  3e-14\n",
      "25:  1.5204e+04 -1.8452e+04  3e+04  2e-16  1e-14\n",
      "26:  1.9683e+03 -2.8476e+03  5e+03  1e-16  3e-15\n",
      "27:  1.8868e+02 -4.9490e+02  7e+02  1e-16  1e-15\n",
      "28: -2.3511e+01 -1.1517e+02  9e+01  2e-16  6e-16\n",
      "29: -4.0920e+01 -4.9199e+01  8e+00  2e-16  2e-16\n",
      "30: -4.2281e+01 -4.3502e+01  1e+00  2e-16  8e-17\n",
      "31: -4.2591e+01 -4.2746e+01  2e-01  2e-16  8e-17\n",
      "32: -4.2616e+01 -4.2640e+01  2e-02  8e-17  7e-17\n",
      "33: -4.2620e+01 -4.2622e+01  2e-03  2e-16  1e-16\n",
      "34: -4.2620e+01 -4.2620e+01  7e-05  3e-16  2e-16\n",
      "35: -4.2620e+01 -4.2620e+01  8e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  4.3712e+02 -1.4892e+07  2e+03  1e+00  1e+00\n",
      " 2:  9.5168e+02 -2.4329e+07  4e+03  1e+00  1e+00\n",
      " 3:  1.3277e+03 -3.0605e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.7796e+03 -4.0270e+07  7e+03  1e+00  1e+00\n",
      " 5:  1.9889e+03 -6.2159e+07  1e+04  1e+00  1e+00\n",
      " 6:  1.9650e+03 -1.5481e+08  3e+04  1e+00  1e+00\n",
      " 7:  6.5887e+02 -1.6382e+09  3e+05  1e+00  1e+00\n",
      " 8:  9.4044e+02 -3.0768e+10  6e+06  1e+00  1e+00\n",
      " 9:  1.0162e+03 -1.9416e+13  4e+09  1e+00  1e+00\n",
      "10:  9.8682e+09 -3.6954e+20  4e+20  5e-13  2e-02\n",
      "11:  9.8682e+09 -3.6954e+18  4e+18  5e-15  1e-02\n",
      "12:  9.8682e+09 -3.6954e+16  4e+16  2e-16  1e-04\n",
      "13:  9.8682e+09 -3.6979e+14  4e+14  2e-16  3e-06\n",
      "14:  9.8643e+09 -3.9477e+12  4e+12  1e-16  2e-08\n",
      "15:  9.5403e+09 -2.8215e+11  3e+11  2e-16  2e-09\n",
      "16:  3.0414e+09 -2.6141e+11  3e+11  2e-16  2e-09\n",
      "17:  1.7603e+09 -1.1589e+10  1e+10  2e-16  1e-10\n",
      "18:  3.1046e+08 -4.6000e+08  8e+08  1e-16  3e-12\n",
      "19:  4.4752e+07 -4.9218e+07  9e+07  2e-16  5e-13\n",
      "20:  6.4195e+06 -7.1657e+06  1e+07  1e-16  2e-13\n",
      "21:  9.1680e+05 -1.0232e+06  2e+06  2e-16  1e-13\n",
      "22:  1.2996e+05 -1.4788e+05  3e+05  3e-16  3e-14\n",
      "23:  1.8062e+04 -2.1736e+04  4e+04  2e-16  1e-14\n",
      "24:  2.3620e+03 -3.3339e+03  6e+03  2e-16  5e-15\n",
      "25:  2.3930e+02 -5.7043e+02  8e+02  2e-16  2e-15\n",
      "26: -1.8092e+01 -1.2786e+02  1e+02  2e-16  5e-16\n",
      "27: -4.0188e+01 -5.0892e+01  1e+01  2e-16  3e-16\n",
      "28: -4.1871e+01 -4.4412e+01  3e+00  1e-16  1e-16\n",
      "29: -4.2563e+01 -4.2979e+01  4e-01  2e-16  2e-16\n",
      "30: -4.2622e+01 -4.2679e+01  6e-02  3e-16  9e-17\n",
      "31: -4.2629e+01 -4.2635e+01  6e-03  2e-16  9e-17\n",
      "32: -4.2629e+01 -4.2629e+01  2e-04  1e-16  2e-16\n",
      "33: -4.2629e+01 -4.2629e+01  3e-06  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  4.0329e+02 -1.5922e+07  2e+03  1e+00  1e+00\n",
      " 2:  1.2095e+03 -3.1979e+07  5e+03  1e+00  1e+00\n",
      " 3:  1.3139e+03 -3.3942e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.9438e+03 -4.6123e+07  8e+03  1e+00  1e+00\n",
      " 5:  2.1961e+03 -6.0476e+07  1e+04  1e+00  1e+00\n",
      " 6:  2.5305e+03 -2.3515e+08  5e+04  1e+00  1e+00\n",
      " 7:  2.5450e+03 -1.5539e+09  3e+05  1e+00  1e+00\n",
      " 8:  9.4990e+02 -1.3736e+11  3e+07  1e+00  1e+00\n",
      " 9:  1.2931e+03 -5.3349e+13  1e+10  1e+00  1e+00\n",
      "10:  1.2897e+10 -1.0798e+21  1e+21  5e-13  5e-02\n",
      "11:  1.2897e+10 -1.0798e+19  1e+19  5e-15  1e-02\n",
      "12:  1.2897e+10 -1.0798e+17  1e+17  2e-16  3e-04\n",
      "13:  1.2897e+10 -1.0801e+15  1e+15  2e-16  4e-06\n",
      "14:  1.2895e+10 -1.1038e+13  1e+13  1e-16  3e-08\n",
      "15:  1.2727e+10 -3.4601e+11  4e+11  2e-16  1e-09\n",
      "16:  8.8995e+09 -1.1310e+11  1e+11  2e-16  2e-10\n",
      "17:  2.7242e+09 -7.0748e+09  1e+10  2e-16  1e-11\n",
      "18:  4.2296e+08 -4.8190e+08  9e+08  2e-16  2e-12\n",
      "19:  6.0893e+07 -6.8348e+07  1e+08  1e-16  6e-13\n",
      "20:  8.7298e+06 -9.6891e+06  2e+07  1e-16  4e-13\n",
      "21:  1.2474e+06 -1.3889e+06  3e+06  2e-16  8e-14\n",
      "22:  1.7710e+05 -2.0046e+05  4e+05  2e-16  6e-14\n",
      "23:  2.4731e+04 -2.9356e+04  5e+04  1e-16  1e-14\n",
      "24:  3.2854e+03 -4.4583e+03  8e+03  2e-16  5e-15\n",
      "25:  3.5965e+02 -7.4358e+02  1e+03  2e-16  2e-15\n",
      "26: -4.9314e+00 -1.5675e+02  2e+02  1e-16  5e-16\n",
      "27: -3.9100e+01 -5.5511e+01  2e+01  2e-16  2e-16\n",
      "28: -4.1134e+01 -4.5664e+01  5e+00  2e-16  8e-17\n",
      "29: -4.2482e+01 -4.3594e+01  1e+00  1e-16  7e-17\n",
      "30: -4.2623e+01 -4.2714e+01  9e-02  2e-16  1e-16\n",
      "31: -4.2633e+01 -4.2646e+01  1e-02  2e-16  2e-16\n",
      "32: -4.2634e+01 -4.2635e+01  7e-04  2e-16  1e-16\n",
      "33: -4.2634e+01 -4.2634e+01  4e-05  2e-16  8e-17\n",
      "34: -4.2634e+01 -4.2634e+01  8e-07  2e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  3.9978e+02 -1.7620e+07  2e+03  1e+00  1e+00\n",
      " 2:  1.2188e+03 -3.6005e+07  5e+03  1e+00  1e+00\n",
      " 3:  1.3205e+03 -3.7902e+07  6e+03  1e+00  1e+00\n",
      " 4:  1.4940e+03 -4.1132e+07  6e+03  1e+00  1e+00\n",
      " 5:  2.0484e+03 -5.1754e+07  9e+03  1e+00  1e+00\n",
      " 6:  2.4526e+03 -6.3150e+07  1e+04  1e+00  1e+00\n",
      " 7:  2.7024e+03 -9.4352e+07  2e+04  1e+00  1e+00\n",
      " 8:  3.0020e+03 -2.7386e+08  5e+04  1e+00  1e+00\n",
      " 9:  3.1140e+03 -2.4752e+09  5e+05  1e+00  1e+00\n",
      "10:  1.2182e+03 -1.5150e+11  3e+07  1e+00  1e+00\n",
      "11:  1.0898e+03 -3.1871e+14  9e+10  1e+00  1e+00\n",
      "12:  1.3575e+10 -3.7122e+21  4e+21  3e-13  1e-01\n",
      "13:  1.3575e+10 -3.7122e+19  4e+19  3e-15  5e-02\n",
      "14:  1.3575e+10 -3.7123e+17  4e+17  1e-16  1e-03\n",
      "15:  1.3575e+10 -3.7157e+15  4e+15  2e-16  1e-05\n",
      "16:  1.3571e+10 -4.0597e+13  4e+13  2e-16  2e-07\n",
      "17:  1.3111e+10 -3.1099e+12  3e+12  2e-16  5e-08\n",
      "18:  4.6993e+09 -2.9422e+12  3e+12  3e-16  5e-08\n",
      "19:  4.2981e+09 -6.7558e+10  7e+10  2e-16  1e-09\n",
      "20:  1.1313e+09 -3.5495e+09  5e+09  2e-16  4e-11\n",
      "21:  1.7188e+08 -2.0302e+08  4e+08  2e-16  1e-12\n",
      "22:  2.4710e+07 -2.7654e+07  5e+07  2e-16  8e-13\n",
      "23:  3.5393e+06 -3.9380e+06  7e+06  2e-16  2e-13\n",
      "24:  5.0470e+05 -5.6519e+05  1e+06  2e-16  7e-14\n",
      "25:  7.1280e+04 -8.1948e+04  2e+05  2e-16  2e-14\n",
      "26:  9.8020e+03 -1.2144e+04  2e+04  2e-16  5e-15\n",
      "27:  1.2357e+03 -1.9026e+03  3e+03  2e-16  4e-15\n",
      "28:  9.9829e+01 -3.4360e+02  4e+02  2e-16  1e-15\n",
      "29: -2.9938e+01 -8.7532e+01  6e+01  2e-16  3e-16\n",
      "30: -3.9279e+01 -4.8121e+01  9e+00  2e-16  1e-16\n",
      "31: -4.2307e+01 -4.7273e+01  5e+00  4e-16  1e-16\n",
      "32: -4.2585e+01 -4.2943e+01  4e-01  3e-16  1e-16\n",
      "33: -4.2631e+01 -4.2674e+01  4e-02  2e-16  1e-16\n",
      "34: -4.2638e+01 -4.2645e+01  7e-03  2e-16  8e-17\n",
      "35: -4.2639e+01 -4.2639e+01  4e-04  2e-16  7e-17\n",
      "36: -4.2639e+01 -4.2639e+01  1e-05  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  PAQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.9497e+02 -3.0883e+06  6e+02  1e+00  1e+00\n",
      " 2:  5.1013e+00 -6.8405e+06  2e+03  1e+00  1e+00\n",
      " 3:  9.7325e+01 -1.0497e+08  2e+04  1e+00  1e+00\n",
      " 4:  2.9240e+02 -7.0562e+09  1e+06  1e+00  1e+00\n",
      " 5:  1.1471e+07 -1.6839e+17  2e+17  5e-13  7e-06\n",
      " 6:  1.1471e+07 -1.6839e+15  2e+15  5e-15  2e-05\n",
      " 7:  1.1471e+07 -1.6839e+13  2e+13  2e-16  1e-07\n",
      " 8:  1.1468e+07 -1.6842e+11  2e+11  3e-16  3e-10\n",
      " 9:  1.1231e+07 -1.7179e+09  2e+09  2e-16  8e-12\n",
      "10:  4.1332e+06 -2.7318e+07  3e+07  1e-16  2e-13\n",
      "11:  6.2378e+05 -9.1249e+05  2e+06  1e-16  4e-14\n",
      "12:  8.8211e+04 -9.7699e+04  2e+05  1e-16  3e-14\n",
      "13:  1.2316e+04 -1.4682e+04  3e+04  1e-16  5e-15\n",
      "14:  1.6299e+03 -2.2271e+03  4e+03  1e-16  4e-15\n",
      "15:  1.7394e+02 -3.7396e+02  5e+02  2e-16  1e-15\n",
      "16: -8.2792e+00 -8.1699e+01  7e+01  2e-16  3e-16\n",
      "17: -3.3571e+01 -7.6017e+01  4e+01  3e-16  8e-17\n",
      "18: -3.8150e+01 -4.0290e+01  2e+00  2e-16  8e-17\n",
      "19: -3.8376e+01 -3.8521e+01  1e-01  1e-16  5e-17\n",
      "20: -3.8383e+01 -3.8385e+01  3e-03  3e-17  5e-17\n",
      "21: -3.8383e+01 -3.8383e+01  3e-05  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.6989e+02 -5.1737e+06  9e+02  1e+00  1e+00\n",
      " 2:  3.2998e+02 -6.0284e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.8312e+02 -9.8110e+06  2e+03  1e+00  1e+00\n",
      " 4:  5.8317e+00 -1.7785e+08  4e+04  1e+00  1e+00\n",
      " 5:  9.5169e+01 -2.4320e+09  5e+05  1e+00  1e+00\n",
      " 6:  1.0897e+02 -5.4501e+11  1e+08  1e+00  1e+00\n",
      " 7:  4.9486e+09 -1.2093e+19  1e+19  9e-13  9e-04\n",
      " 8:  4.9486e+09 -1.2093e+17  1e+17  9e-15  1e-03\n",
      " 9:  4.9486e+09 -1.2093e+15  1e+15  9e-17  1e-05\n",
      "10:  4.9486e+09 -1.2115e+13  1e+13  1e-16  2e-07\n",
      "11:  4.9453e+09 -1.4249e+11  1e+11  2e-16  3e-09\n",
      "12:  4.7013e+09 -2.1859e+10  3e+10  2e-16  8e-10\n",
      "13:  2.1475e+08 -2.8856e+10  3e+10  2e-16  5e-10\n",
      "14:  1.1977e+08 -7.1097e+08  8e+08  3e-16  1e-11\n",
      "15:  1.9356e+07 -2.9609e+07  5e+07  1e-16  7e-13\n",
      "16:  2.7691e+06 -3.0176e+06  6e+06  1e-16  2e-13\n",
      "17:  3.9524e+05 -4.4471e+05  8e+05  2e-16  7e-14\n",
      "18:  5.5816e+04 -6.4243e+04  1e+05  1e-16  2e-14\n",
      "19:  7.6684e+03 -9.5263e+03  2e+04  3e-16  4e-15\n",
      "20:  9.6202e+02 -1.4955e+03  2e+03  2e-16  2e-15\n",
      "21:  7.3819e+01 -2.7238e+02  3e+02  1e-16  1e-15\n",
      "22: -2.8130e+01 -7.2056e+01  4e+01  2e-16  3e-16\n",
      "23: -3.7355e+01 -4.2826e+01  5e+00  9e-17  2e-17\n",
      "24: -3.8883e+01 -3.9649e+01  8e-01  2e-16  9e-17\n",
      "25: -3.8991e+01 -3.9047e+01  6e-02  2e-16  6e-17\n",
      "26: -3.8993e+01 -3.8993e+01  7e-04  5e-17  1e-16\n",
      "27: -3.8993e+01 -3.8993e+01  7e-06  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  4.5958e+02 -7.8593e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.7285e+02 -9.0686e+06  2e+03  1e+00  1e+00\n",
      " 3:  6.7146e+02 -1.3782e+07  3e+03  1e+00  1e+00\n",
      " 4: -3.1448e+00 -8.3846e+07  2e+04  1e+00  1e+00\n",
      " 5:  1.0367e+02 -5.4655e+08  1e+05  1e+00  1e+00\n",
      " 6:  2.9001e+02 -2.6159e+10  5e+06  1e+00  1e+00\n",
      " 7:  1.2594e+03 -1.3479e+15  3e+12  1e+00  1e+00\n",
      " 8:  7.0528e+08 -2.4134e+20  2e+20  6e-14  3e-02\n",
      " 9:  7.0528e+08 -2.4134e+18  2e+18  7e-16  2e-03\n",
      "10:  7.0528e+08 -2.4134e+16  2e+16  1e-16  4e-05\n",
      "11:  7.0527e+08 -2.4135e+14  2e+14  8e-17  1e-06\n",
      "12:  7.0509e+08 -2.4227e+12  2e+12  8e-17  1e-08\n",
      "13:  6.8707e+08 -3.3176e+10  3e+10  2e-16  3e-10\n",
      "14:  2.3626e+08 -2.3957e+09  3e+09  1e-16  4e-10\n",
      "15:  3.5596e+07 -5.8885e+07  9e+07  2e-16  4e-12\n",
      "16:  5.0939e+06 -5.5941e+06  1e+07  1e-16  2e-13\n",
      "17:  7.2838e+05 -8.1997e+05  2e+06  3e-16  8e-14\n",
      "18:  1.0318e+05 -1.1794e+05  2e+05  9e-17  2e-14\n",
      "19:  1.4296e+04 -1.7369e+04  3e+04  2e-16  1e-14\n",
      "20:  1.8493e+03 -2.6807e+03  5e+03  3e-16  3e-15\n",
      "21:  1.7645e+02 -4.6641e+02  6e+02  3e-16  2e-15\n",
      "22: -2.2611e+01 -1.0879e+02  9e+01  3e-16  3e-16\n",
      "23: -3.8536e+01 -4.6382e+01  8e+00  1e-16  2e-16\n",
      "24: -3.9284e+01 -4.0642e+01  1e+00  2e-16  1e-16\n",
      "25: -3.9306e+01 -3.9329e+01  2e-02  3e-16  9e-17\n",
      "26: -3.9306e+01 -3.9306e+01  2e-04  2e-16  4e-17\n",
      "27: -3.9306e+01 -3.9306e+01  2e-06  2e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.7170e+02 -9.9931e+06  2e+03  1e+00  1e+00\n",
      " 2:  5.9379e+02 -1.2466e+07  2e+03  1e+00  1e+00\n",
      " 3:  9.0961e+02 -1.8378e+07  3e+03  1e+00  1e+00\n",
      " 4:  9.5729e+02 -3.0096e+07  6e+03  1e+00  1e+00\n",
      " 5:  4.3275e+00 -2.1952e+08  4e+04  1e+00  1e+00\n",
      " 6:  4.0696e+02 -2.0489e+09  4e+05  1e+00  1e+00\n",
      " 7:  4.7242e+02 -2.7451e+11  6e+07  1e+00  1e+00\n",
      " 8:  4.9007e+09 -6.3325e+18  6e+18  5e-13  3e-04\n",
      " 9:  4.9007e+09 -6.3325e+16  6e+16  5e-15  3e-04\n",
      "10:  4.9007e+09 -6.3331e+14  6e+14  2e-16  5e-06\n",
      "11:  4.9004e+09 -6.3868e+12  6e+12  2e-16  7e-08\n",
      "12:  4.8775e+09 -1.1738e+11  1e+11  2e-16  1e-09\n",
      "13:  3.6262e+09 -3.2919e+10  4e+10  2e-16  2e-09\n",
      "14:  6.5301e+08 -7.5246e+09  8e+09  4e-16  2e-12\n",
      "15:  1.4363e+08 -2.3803e+08  4e+08  2e-16  9e-13\n",
      "16:  2.1029e+07 -2.2727e+07  4e+07  2e-16  3e-13\n",
      "17:  3.0131e+06 -3.3654e+06  6e+06  2e-16  1e-13\n",
      "18:  4.2945e+05 -4.8139e+05  9e+05  2e-16  3e-14\n",
      "19:  6.0572e+04 -6.9912e+04  1e+05  2e-16  2e-14\n",
      "20:  8.2971e+03 -1.0391e+04  2e+04  2e-16  5e-15\n",
      "21:  1.0313e+03 -1.6404e+03  3e+03  2e-16  3e-15\n",
      "22:  7.4807e+01 -3.0188e+02  4e+02  1e-16  2e-15\n",
      "23: -3.1920e+01 -8.0138e+01  5e+01  9e-17  6e-16\n",
      "24: -3.9016e+01 -4.2276e+01  3e+00  3e-16  9e-17\n",
      "25: -3.9447e+01 -3.9731e+01  3e-01  2e-16  9e-17\n",
      "26: -3.9464e+01 -3.9476e+01  1e-02  4e-16  1e-16\n",
      "27: -3.9464e+01 -3.9464e+01  1e-04  1e-16  2e-16\n",
      "28: -3.9464e+01 -3.9464e+01  1e-06  4e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  6.7153e+02 -1.4799e+07  2e+03  1e+00  1e+00\n",
      " 2:  9.5981e+02 -2.0908e+07  4e+03  1e+00  1e+00\n",
      " 3:  1.0846e+03 -2.6790e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.3362e+03 -4.7883e+07  9e+03  1e+00  1e+00\n",
      " 5:  1.3206e+02 -4.6824e+08  9e+04  1e+00  1e+00\n",
      " 6:  3.7209e+02 -4.8954e+09  1e+06  1e+00  1e+00\n",
      " 7:  5.0708e+02 -7.0500e+11  1e+08  1e+00  1e+00\n",
      " 8:  8.2457e+09 -1.6096e+19  2e+19  4e-13  1e-03\n",
      " 9:  8.2457e+09 -1.6096e+17  2e+17  4e-15  7e-04\n",
      "10:  8.2457e+09 -1.6097e+15  2e+15  1e-16  7e-06\n",
      "11:  8.2454e+09 -1.6194e+13  2e+13  1e-16  1e-07\n",
      "12:  8.2120e+09 -2.5806e+11  3e+11  2e-16  1e-09\n",
      "13:  6.8433e+09 -7.4396e+10  8e+10  2e-16  1e-08\n",
      "14:  1.8101e+09 -5.0705e+10  5e+10  2e-16  4e-09\n",
      "15:  6.6915e+08 -2.0301e+09  3e+09  2e-16  2e-10\n",
      "16:  1.0455e+08 -1.2338e+08  2e+08  3e-16  2e-12\n",
      "17:  1.5017e+07 -1.6733e+07  3e+07  1e-16  3e-13\n",
      "18:  2.1496e+06 -2.3925e+06  5e+06  2e-16  2e-13\n",
      "19:  3.0615e+05 -3.4392e+05  7e+05  2e-16  5e-14\n",
      "20:  4.3095e+04 -5.0016e+04  9e+04  1e-16  2e-14\n",
      "21:  5.8675e+03 -7.4671e+03  1e+04  1e-16  6e-15\n",
      "22:  7.1240e+02 -1.1924e+03  2e+03  2e-16  2e-15\n",
      "23:  4.1051e+01 -2.2609e+02  3e+02  2e-16  1e-15\n",
      "24: -3.1688e+01 -6.4588e+01  3e+01  2e-16  2e-16\n",
      "25: -3.6473e+01 -4.7629e+01  1e+01  2e-16  1e-16\n",
      "26: -3.9293e+01 -4.4738e+01  5e+00  1e-16  1e-16\n",
      "27: -3.9498e+01 -3.9853e+01  4e-01  2e-16  1e-16\n",
      "28: -3.9518e+01 -3.9530e+01  1e-02  2e-16  1e-16\n",
      "29: -3.9518e+01 -3.9518e+01  2e-04  2e-16  1e-16\n",
      "30: -3.9518e+01 -3.9518e+01  2e-06  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  6.8604e+02 -1.7496e+07  3e+03  1e+00  1e+00\n",
      " 2:  7.6982e+02 -1.9096e+07  3e+03  1e+00  1e+00\n",
      " 3:  1.5485e+03 -3.0932e+07  6e+03  1e+00  1e+00\n",
      " 4:  1.6835e+03 -4.4869e+07  9e+03  1e+00  1e+00\n",
      " 5:  2.1177e+02 -9.7280e+07  2e+04  1e+00  1e+00\n",
      " 6:  4.5600e+02 -2.8665e+08  6e+04  1e+00  1e+00\n",
      " 7:  5.8818e+02 -2.3234e+09  5e+05  1e+00  1e+00\n",
      " 8:  6.8360e+02 -1.6614e+11  3e+07  1e+00  1e+00\n",
      " 9:  9.2998e+09 -3.9169e+18  4e+18  4e-13  2e-04\n",
      "10:  9.2998e+09 -3.9169e+16  4e+16  4e-15  1e-04\n",
      "11:  9.2997e+09 -3.9177e+14  4e+14  2e-16  2e-06\n",
      "12:  9.2971e+09 -3.9934e+12  4e+12  1e-16  2e-08\n",
      "13:  9.0425e+09 -1.1393e+11  1e+11  2e-16  5e-10\n",
      "14:  2.4234e+09 -1.6566e+10  2e+10  1e-16  2e-08\n",
      "15:  5.3845e+08 -1.0330e+09  2e+09  3e-16  1e-09\n",
      "16:  7.8354e+07 -8.5344e+07  2e+08  2e-16  7e-13\n",
      "17:  1.1261e+07 -1.2646e+07  2e+07  1e-16  4e-13\n",
      "18:  1.6105e+06 -1.7940e+06  3e+06  1e-16  1e-13\n",
      "19:  2.2900e+05 -2.5849e+05  5e+05  3e-16  5e-14\n",
      "20:  3.2092e+04 -3.7729e+04  7e+04  1e-16  2e-14\n",
      "21:  4.3104e+03 -5.6871e+03  1e+04  2e-16  7e-15\n",
      "22:  4.9554e+02 -9.3074e+02  1e+03  2e-16  2e-15\n",
      "23:  1.0923e+01 -1.8731e+02  2e+02  2e-16  7e-16\n",
      "24: -3.7232e+01 -6.0237e+01  2e+01  2e-16  2e-16\n",
      "25: -3.9423e+01 -4.0877e+01  1e+00  2e-16  8e-17\n",
      "26: -3.9626e+01 -3.9812e+01  2e-01  1e-16  8e-17\n",
      "27: -3.9636e+01 -3.9642e+01  6e-03  3e-16  7e-17\n",
      "28: -3.9636e+01 -3.9636e+01  7e-05  2e-16  1e-16\n",
      "29: -3.9636e+01 -3.9636e+01  7e-07  2e-16  6e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.9189e+02 -2.0101e+07  3e+03  1e+00  1e+00\n",
      " 2:  8.8095e+02 -2.3567e+07  4e+03  1e+00  1e+00\n",
      " 3:  9.9101e+02 -2.5542e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.5998e+03 -3.5422e+07  6e+03  1e+00  1e+00\n",
      " 5:  2.1251e+03 -4.7181e+07  9e+03  1e+00  1e+00\n",
      " 6:  2.5817e+03 -7.9215e+07  2e+04  1e+00  1e+00\n",
      " 7:  1.6844e+02 -3.2017e+08  6e+04  1e+00  1e+00\n",
      " 8:  4.1403e+02 -1.3934e+09  3e+05  1e+00  1e+00\n",
      " 9:  6.8915e+02 -2.4778e+10  5e+06  1e+00  1e+00\n",
      "10:  9.7168e+02 -1.2119e+13  3e+09  1e+00  1e+00\n",
      "11:  1.1411e+10 -2.4185e+20  2e+20  4e-13  9e-03\n",
      "12:  1.1411e+10 -2.4185e+18  2e+18  4e-15  6e-03\n",
      "13:  1.1411e+10 -2.4185e+16  2e+16  2e-16  8e-05\n",
      "14:  1.1411e+10 -2.4198e+14  2e+14  2e-16  1e-06\n",
      "15:  1.1402e+10 -2.5495e+12  3e+12  1e-16  2e-08\n",
      "16:  1.0685e+10 -1.5003e+11  2e+11  2e-16  2e-08\n",
      "17:  3.5300e+09 -1.0087e+11  1e+11  1e-16  7e-09\n",
      "18:  1.2899e+09 -6.5684e+09  8e+09  2e-16  5e-10\n",
      "19:  2.1126e+08 -2.7993e+08  5e+08  2e-16  7e-12\n",
      "20:  3.0374e+07 -3.3622e+07  6e+07  2e-16  6e-13\n",
      "21:  4.3531e+06 -4.8490e+06  9e+06  3e-16  2e-13\n",
      "22:  6.2111e+05 -6.9451e+05  1e+06  2e-16  3e-14\n",
      "23:  8.7849e+04 -1.0058e+05  2e+05  1e-16  3e-14\n",
      "24:  1.2132e+04 -1.4857e+04  3e+04  8e-17  1e-14\n",
      "25:  1.5529e+03 -2.3081e+03  4e+03  2e-16  4e-15\n",
      "26:  1.3918e+02 -4.0792e+02  5e+02  2e-16  1e-15\n",
      "27: -2.6142e+01 -9.8660e+01  7e+01  1e-16  4e-16\n",
      "28: -3.8687e+01 -4.4800e+01  6e+00  2e-16  1e-16\n",
      "29: -3.9583e+01 -4.0752e+01  1e+00  2e-16  1e-16\n",
      "30: -3.9676e+01 -3.9798e+01  1e-01  2e-16  9e-17\n",
      "31: -3.9680e+01 -3.9682e+01  2e-03  2e-16  1e-16\n",
      "32: -3.9680e+01 -3.9680e+01  2e-05  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.9132e+02 -2.2617e+07  3e+03  1e+00  1e+00\n",
      " 2:  9.9642e+02 -2.8485e+07  4e+03  1e+00  1e+00\n",
      " 3:  1.0776e+03 -3.0005e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.3202e+03 -3.4341e+07  6e+03  1e+00  1e+00\n",
      " 5:  2.2317e+03 -4.8980e+07  9e+03  1e+00  1e+00\n",
      " 6:  2.6535e+03 -6.8641e+07  1e+04  1e+00  1e+00\n",
      " 7:  2.0724e+03 -9.2920e+07  2e+04  1e+00  1e+00\n",
      " 8:  6.0449e+02 -2.5216e+09  5e+05  1e+00  1e+00\n",
      " 9:  1.6317e+03 -9.2332e+10  2e+07  1e+00  1e+00\n",
      "10:  8.0949e+09 -2.1903e+18  2e+18  4e-13  1e-04\n",
      "11:  8.0949e+09 -2.1903e+16  2e+16  4e-15  6e-05\n",
      "12:  8.0948e+09 -2.1918e+14  2e+14  2e-16  7e-07\n",
      "13:  8.0905e+09 -2.3370e+12  2e+12  2e-16  9e-09\n",
      "14:  7.7434e+09 -1.6454e+11  2e+11  2e-16  8e-09\n",
      "15:  2.7231e+09 -1.4199e+11  1e+11  2e-16  5e-09\n",
      "16:  1.1672e+09 -5.1917e+09  6e+09  1e-16  2e-10\n",
      "17:  1.9101e+08 -2.5155e+08  4e+08  7e-17  4e-12\n",
      "18:  2.7413e+07 -3.0079e+07  6e+07  3e-16  5e-13\n",
      "19:  3.9262e+06 -4.3660e+06  8e+06  2e-16  2e-13\n",
      "20:  5.5995e+05 -6.2605e+05  1e+06  2e-16  5e-14\n",
      "21:  7.9141e+04 -9.0759e+04  2e+05  2e-16  4e-14\n",
      "22:  1.0908e+04 -1.3428e+04  2e+04  2e-16  8e-15\n",
      "23:  1.3868e+03 -2.0942e+03  3e+03  2e-16  4e-15\n",
      "24:  1.1890e+02 -3.7376e+02  5e+02  2e-16  2e-15\n",
      "25: -2.7776e+01 -9.2528e+01  6e+01  2e-16  3e-16\n",
      "26: -3.8677e+01 -4.3829e+01  5e+00  2e-16  1e-16\n",
      "27: -3.9658e+01 -4.1113e+01  1e+00  2e-16  8e-17\n",
      "28: -3.9719e+01 -3.9844e+01  1e-01  1e-16  1e-16\n",
      "29: -3.9724e+01 -3.9727e+01  4e-03  1e-16  1e-16\n",
      "30: -3.9724e+01 -3.9724e+01  4e-05  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  7.4600e+02 -2.6300e+07  4e+03  1e+00  1e+00\n",
      " 2:  1.0552e+03 -3.2621e+07  5e+03  1e+00  1e+00\n",
      " 3:  1.2111e+03 -3.5583e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.4027e+03 -3.9117e+07  6e+03  1e+00  1e+00\n",
      " 5:  2.1139e+03 -5.1019e+07  9e+03  1e+00  1e+00\n",
      " 6:  2.8637e+03 -6.5108e+07  1e+04  1e+00  1e+00\n",
      " 7:  4.0091e+03 -1.0145e+08  2e+04  1e+00  1e+00\n",
      " 8:  1.0138e+03 -1.8712e+08  4e+04  1e+00  1e+00\n",
      " 9:  1.9595e+03 -6.4784e+08  1e+05  1e+00  1e+00\n",
      "10:  2.6605e+03 -3.1899e+10  7e+06  1e+00  1e+00\n",
      "11:  1.0484e+03 -1.3148e+14  5e+10  1e+00  1e+00\n",
      "12:  9.1298e+09 -9.1998e+20  9e+20  2e-13  3e-02\n",
      "13:  9.1298e+09 -9.1998e+18  9e+18  2e-15  1e-02\n",
      "14:  9.1298e+09 -9.1998e+16  9e+16  3e-16  3e-04\n",
      "15:  9.1298e+09 -9.2012e+14  9e+14  2e-16  3e-06\n",
      "16:  9.1285e+09 -9.3382e+12  9e+12  2e-16  4e-08\n",
      "17:  9.0111e+09 -2.2955e+11  2e+11  1e-16  7e-10\n",
      "18:  8.9594e+09 -1.0221e+11  1e+11  1e-16  6e-08\n",
      "19:  3.2625e+09 -4.4968e+10  5e+10  8e-16  1e-08\n",
      "20:  7.6686e+08 -1.6106e+09  2e+09  2e-16  3e-10\n",
      "21:  1.1402e+08 -1.2455e+08  2e+08  2e-16  3e-12\n",
      "22:  1.6360e+07 -1.8208e+07  3e+07  2e-16  5e-13\n",
      "23:  2.3400e+06 -2.5972e+06  5e+06  2e-16  1e-13\n",
      "24:  3.3316e+05 -3.7407e+05  7e+05  1e-16  6e-14\n",
      "25:  4.6883e+04 -5.4432e+04  1e+05  1e-16  2e-14\n",
      "26:  6.3796e+03 -8.1314e+03  1e+04  2e-16  1e-14\n",
      "27:  7.7339e+02 -1.2998e+03  2e+03  2e-16  2e-15\n",
      "28:  4.4241e+01 -2.4676e+02  3e+02  2e-16  1e-15\n",
      "29: -3.4037e+01 -7.0159e+01  4e+01  3e-16  3e-16\n",
      "30: -3.8511e+01 -4.4180e+01  6e+00  2e-16  1e-16\n",
      "31: -3.9263e+01 -4.6296e+01  7e+00  4e-16  1e-16\n",
      "32: -3.9597e+01 -4.1276e+01  2e+00  2e-16  7e-17\n",
      "33: -3.9698e+01 -4.0779e+01  1e+00  1e-16  8e-17\n",
      "34: -3.9739e+01 -3.9838e+01  1e-01  2e-16  9e-17\n",
      "35: -3.9742e+01 -3.9745e+01  3e-03  2e-16  8e-17\n",
      "36: -3.9742e+01 -3.9742e+01  3e-05  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "processing  PFQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  8.4030e+01 -9.5096e+05  2e+02  1e+00  1e+00\n",
      " 2:  5.4918e+00 -2.6153e+06  7e+02  1e+00  1e+00\n",
      " 3:  3.9829e+01 -8.4739e+07  2e+04  1e+00  1e+00\n",
      " 4:  8.2552e+01 -1.7054e+10  4e+06  1e+00  1e+00\n",
      " 5:  1.0149e+06 -3.8809e+17  4e+17  3e-13  2e-04\n",
      " 6:  1.0149e+06 -3.8809e+15  4e+15  3e-15  2e-04\n",
      " 7:  1.0148e+06 -3.8809e+13  4e+13  1e-16  9e-07\n",
      " 8:  1.0148e+06 -3.8809e+11  4e+11  1e-16  2e-08\n",
      " 9:  1.0132e+06 -3.8835e+09  4e+09  2e-16  3e-10\n",
      "10:  8.7591e+05 -4.1096e+07  4e+07  3e-16  2e-12\n",
      "11:  1.6200e+05 -6.1076e+05  8e+05  2e-16  3e-14\n",
      "12:  2.3570e+04 -2.8857e+04  5e+04  2e-16  4e-14\n",
      "13:  3.2886e+03 -3.8685e+03  7e+03  2e-16  1e-14\n",
      "14:  4.3631e+02 -5.9200e+02  1e+03  2e-16  3e-15\n",
      "15:  4.6182e+01 -9.9544e+01  1e+02  3e-16  7e-16\n",
      "16: -3.3860e+00 -2.2830e+01  2e+01  2e-16  5e-16\n",
      "17: -9.1612e+00 -1.1823e+01  3e+00  1e-16  7e-17\n",
      "18: -9.7855e+00 -1.0103e+01  3e-01  4e-16  2e-17\n",
      "19: -9.8106e+00 -9.8211e+00  1e-02  2e-16  3e-17\n",
      "20: -9.8107e+00 -9.8108e+00  1e-04  1e-16  4e-17\n",
      "21: -9.8107e+00 -9.8107e+00  1e-06  2e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  9.6086e+01 -1.4641e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.0198e+02 -2.3197e+06  4e+02  1e+00  1e+00\n",
      " 3:  2.6503e+01 -9.7554e+06  2e+03  1e+00  1e+00\n",
      " 4:  3.4823e+01 -4.0551e+07  8e+03  1e+00  1e+00\n",
      " 5:  3.7949e+01 -5.9687e+08  1e+05  1e+00  1e+00\n",
      " 6:  4.4110e+01 -1.3821e+11  3e+07  1e+00  1e+00\n",
      " 7:  1.0774e+09 -3.1120e+18  3e+18  3e-13  1e-03\n",
      " 8:  1.0774e+09 -3.1120e+16  3e+16  3e-15  3e-04\n",
      " 9:  1.0774e+09 -3.1120e+14  3e+14  2e-16  2e-06\n",
      "10:  1.0774e+09 -3.1189e+12  3e+12  2e-16  9e-09\n",
      "11:  1.0743e+09 -3.8050e+10  4e+10  2e-16  7e-10\n",
      "12:  8.5089e+08 -5.6714e+09  7e+09  2e-16  1e-08\n",
      "13:  1.0987e+08 -1.2011e+09  1e+09  1e-16  4e-11\n",
      "14:  2.7618e+07 -5.0597e+07  8e+07  2e-16  1e-12\n",
      "15:  4.0113e+06 -4.2878e+06  8e+06  1e-16  1e-13\n",
      "16:  5.7516e+05 -6.4713e+05  1e+06  2e-16  1e-13\n",
      "17:  8.1912e+04 -9.2212e+04  2e+05  1e-16  5e-14\n",
      "18:  1.1520e+04 -1.3421e+04  2e+04  1e-16  4e-14\n",
      "19:  1.5636e+03 -2.0077e+03  4e+03  3e-16  5e-15\n",
      "20:  1.8756e+02 -3.2248e+02  5e+02  3e-17  2e-15\n",
      "21:  9.4581e+00 -6.1987e+01  7e+01  2e-16  1e-15\n",
      "22: -9.3720e+00 -1.8117e+01  9e+00  1e-16  2e-16\n",
      "23: -1.0440e+01 -1.1561e+01  1e+00  4e-16  8e-17\n",
      "24: -1.0536e+01 -1.0609e+01  7e-02  6e-17  2e-16\n",
      "25: -1.0536e+01 -1.0537e+01  8e-04  3e-16  1e-16\n",
      "26: -1.0536e+01 -1.0536e+01  8e-06  2e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.5311e+02 -2.4895e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.5619e+02 -3.8297e+06  7e+02  1e+00  1e+00\n",
      " 3:  2.8692e+01 -3.6925e+07  8e+03  1e+00  1e+00\n",
      " 4:  1.7722e+01 -3.1091e+08  6e+04  1e+00  1e+00\n",
      " 5:  5.5610e+01 -2.3214e+10  5e+06  1e+00  1e+00\n",
      " 6:  1.0706e+09 -5.5587e+17  6e+17  3e-13  2e-04\n",
      " 7:  1.0706e+09 -5.5587e+15  6e+15  3e-15  8e-05\n",
      " 8:  1.0706e+09 -5.5592e+13  6e+13  1e-16  1e-06\n",
      " 9:  1.0703e+09 -5.6093e+11  6e+11  1e-16  1e-08\n",
      "10:  1.0379e+09 -1.0481e+10  1e+10  1e-16  2e-10\n",
      "11:  3.2071e+08 -8.6951e+08  1e+09  2e-16  3e-08\n",
      "12:  4.8574e+07 -6.1864e+07  1e+08  1e-16  9e-13\n",
      "13:  7.0425e+06 -7.9406e+06  1e+07  2e-16  3e-13\n",
      "14:  1.0109e+06 -1.1296e+06  2e+06  2e-16  1e-13\n",
      "15:  1.4439e+05 -1.6141e+05  3e+05  2e-16  5e-14\n",
      "16:  2.0459e+04 -2.3324e+04  4e+04  1e-16  2e-14\n",
      "17:  2.8376e+03 -3.4325e+03  6e+03  2e-16  9e-15\n",
      "18:  3.6763e+02 -5.2906e+02  9e+02  2e-16  3e-15\n",
      "19:  3.4555e+01 -9.2272e+01  1e+02  2e-16  1e-15\n",
      "20: -5.8924e+00 -2.2509e+01  2e+01  3e-16  6e-16\n",
      "21: -9.9587e+00 -1.2843e+01  3e+00  2e-16  2e-16\n",
      "22: -1.0492e+01 -1.0965e+01  5e-01  3e-16  1e-16\n",
      "23: -1.0583e+01 -1.0639e+01  6e-02  2e-16  1e-16\n",
      "24: -1.0588e+01 -1.0591e+01  3e-03  9e-17  6e-17\n",
      "25: -1.0588e+01 -1.0588e+01  3e-05  9e-17  8e-17\n",
      "26: -1.0588e+01 -1.0588e+01  3e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.3324e+02 -2.7678e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.2782e+02 -4.3986e+06  8e+02  1e+00  1e+00\n",
      " 3:  1.7907e+02 -7.6072e+06  1e+03  1e+00  1e+00\n",
      " 4:  2.1064e+02 -5.7041e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.0538e+01 -1.5365e+10  3e+06  1e+00  1e+00\n",
      " 6:  1.0894e+02 -6.5563e+13  3e+10  1e+00  1e+00\n",
      " 7:  2.7610e+09 -4.0286e+20  4e+20  2e-13  9e-02\n",
      " 8:  2.7610e+09 -4.0286e+18  4e+18  2e-15  4e-02\n",
      " 9:  2.7610e+09 -4.0286e+16  4e+16  2e-16  7e-04\n",
      "10:  2.7610e+09 -4.0287e+14  4e+14  5e-17  8e-06\n",
      "11:  2.7609e+09 -4.0438e+12  4e+12  1e-16  6e-08\n",
      "12:  2.7510e+09 -5.5510e+10  6e+10  1e-16  1e-09\n",
      "13:  2.3658e+09 -1.4651e+10  2e+10  2e-16  7e-10\n",
      "14:  4.3939e+08 -1.7772e+10  2e+10  3e-16  5e-10\n",
      "15:  1.7523e+08 -1.1501e+09  1e+09  2e-16  3e-11\n",
      "16:  2.9595e+07 -4.4529e+07  7e+07  2e-16  1e-12\n",
      "17:  4.2507e+06 -4.6504e+06  9e+06  2e-16  3e-13\n",
      "18:  6.0894e+05 -6.8058e+05  1e+06  1e-16  2e-13\n",
      "19:  8.6729e+04 -9.7496e+04  2e+05  2e-16  4e-14\n",
      "20:  1.2206e+04 -1.4182e+04  3e+04  2e-16  2e-14\n",
      "21:  1.6608e+03 -2.1182e+03  4e+03  2e-16  1e-14\n",
      "22:  2.0114e+02 -3.3869e+02  5e+02  1e-16  4e-15\n",
      "23:  1.1254e+01 -6.4444e+01  8e+01  1e-16  1e-15\n",
      "24: -9.2208e+00 -1.8554e+01  9e+00  3e-16  4e-16\n",
      "25: -1.0528e+01 -1.1419e+01  9e-01  2e-16  1e-16\n",
      "26: -1.0607e+01 -1.0677e+01  7e-02  2e-16  8e-17\n",
      "27: -1.0611e+01 -1.0614e+01  3e-03  2e-16  5e-17\n",
      "28: -1.0611e+01 -1.0611e+01  3e-05  3e-16  4e-17\n",
      "29: -1.0611e+01 -1.0611e+01  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.2909e+02 -3.1815e+06  5e+02  1e+00  1e+00\n",
      " 2:  3.1992e+02 -6.1023e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.0582e+02 -9.4314e+06  2e+03  1e+00  1e+00\n",
      " 4:  3.0625e+02 -5.9622e+07  1e+04  1e+00  1e+00\n",
      " 5:  6.9232e+00 -1.1320e+10  2e+06  1e+00  1e+00\n",
      " 6:  7.9802e+01 -1.6249e+13  4e+09  1e+00  1e+00\n",
      " 7:  3.1586e+09 -2.2133e+20  2e+20  3e-13  4e-02\n",
      " 8:  3.1586e+09 -2.2133e+18  2e+18  3e-15  3e-02\n",
      " 9:  3.1586e+09 -2.2133e+16  2e+16  1e-16  4e-04\n",
      "10:  3.1586e+09 -2.2135e+14  2e+14  2e-16  4e-06\n",
      "11:  3.1583e+09 -2.2329e+12  2e+12  1e-16  5e-08\n",
      "12:  3.1303e+09 -4.1674e+10  4e+10  1e-16  1e-09\n",
      "13:  2.4831e+09 -1.6036e+10  2e+10  2e-16  1e-09\n",
      "14:  6.5588e+08 -1.2894e+10  1e+10  4e-16  4e-10\n",
      "15:  2.0844e+08 -5.6966e+08  8e+08  1e-16  2e-11\n",
      "16:  3.1923e+07 -3.6659e+07  7e+07  2e-16  1e-12\n",
      "17:  4.5862e+06 -5.1228e+06  1e+07  2e-16  3e-13\n",
      "18:  6.5662e+05 -7.3005e+05  1e+06  2e-16  1e-13\n",
      "19:  9.3568e+04 -1.0495e+05  2e+05  2e-16  5e-14\n",
      "20:  1.3190e+04 -1.5244e+04  3e+04  2e-16  3e-14\n",
      "21:  1.8037e+03 -2.2687e+03  4e+03  2e-16  1e-14\n",
      "22:  2.2240e+02 -3.5948e+02  6e+02  2e-16  2e-15\n",
      "23:  1.4633e+01 -6.7087e+01  8e+01  2e-16  1e-15\n",
      "24: -8.6340e+00 -1.8842e+01  1e+01  1e-16  3e-16\n",
      "25: -1.0441e+01 -1.1641e+01  1e+00  2e-16  2e-16\n",
      "26: -1.0614e+01 -1.0712e+01  1e-01  2e-16  8e-17\n",
      "27: -1.0620e+01 -1.0626e+01  6e-03  2e-16  9e-17\n",
      "28: -1.0620e+01 -1.0621e+01  9e-05  2e-16  6e-17\n",
      "29: -1.0620e+01 -1.0620e+01  9e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.3374e+02 -3.7662e+06  6e+02  1e+00  1e+00\n",
      " 2:  4.2517e+02 -8.1231e+06  2e+03  1e+00  1e+00\n",
      " 3:  3.1919e+02 -1.0689e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.7557e+02 -5.2014e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.2381e+02 -4.5275e+08  9e+04  1e+00  1e+00\n",
      " 6:  2.2819e+02 -4.0408e+10  8e+06  1e+00  1e+00\n",
      " 7:  1.7673e+09 -9.6417e+17  1e+18  5e-13  2e-04\n",
      " 8:  1.7673e+09 -9.6418e+15  1e+16  5e-15  8e-05\n",
      " 9:  1.7673e+09 -9.6441e+13  1e+14  1e-16  2e-06\n",
      "10:  1.7668e+09 -9.8747e+11  1e+12  2e-16  3e-08\n",
      "11:  1.7171e+09 -3.2347e+10  3e+10  2e-16  9e-10\n",
      "12:  5.3970e+08 -5.2751e+09  6e+09  2e-16  4e-09\n",
      "13:  1.3093e+08 -2.5197e+08  4e+08  3e-16  2e-10\n",
      "14:  1.9233e+07 -2.0631e+07  4e+07  2e-16  2e-12\n",
      "15:  2.7634e+06 -3.1009e+06  6e+06  2e-16  4e-13\n",
      "16:  3.9529e+05 -4.3963e+05  8e+05  2e-16  2e-13\n",
      "17:  5.6246e+04 -6.3331e+04  1e+05  2e-16  4e-14\n",
      "18:  7.8983e+03 -9.2288e+03  2e+04  2e-16  2e-14\n",
      "19:  1.0672e+03 -1.3852e+03  2e+03  2e-16  6e-15\n",
      "20:  1.2523e+02 -2.2453e+02  3e+02  2e-16  4e-15\n",
      "21:  3.8697e+00 -4.4615e+01  5e+01  2e-16  1e-15\n",
      "22: -9.0028e+00 -1.5964e+01  7e+00  2e-16  2e-16\n",
      "23: -1.0501e+01 -1.1638e+01  1e+00  2e-16  8e-17\n",
      "24: -1.0608e+01 -1.0791e+01  2e-01  1e-16  7e-17\n",
      "25: -1.0625e+01 -1.0636e+01  1e-02  3e-16  1e-16\n",
      "26: -1.0625e+01 -1.0626e+01  4e-04  1e-16  9e-17\n",
      "27: -1.0625e+01 -1.0625e+01  4e-06  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.2721e+02 -4.1659e+06  6e+02  1e+00  1e+00\n",
      " 2:  5.2652e+02 -1.0280e+07  2e+03  1e+00  1e+00\n",
      " 3:  4.6005e+02 -1.2760e+07  2e+03  1e+00  1e+00\n",
      " 4:  9.0688e+01 -6.3098e+07  1e+04  1e+00  1e+00\n",
      " 5:  3.2345e+02 -4.6835e+08  9e+04  1e+00  1e+00\n",
      " 6:  3.0775e+02 -3.8942e+10  8e+06  1e+00  1e+00\n",
      " 7:  1.9360e+09 -9.3203e+17  9e+17  5e-13  2e-04\n",
      " 8:  1.9360e+09 -9.3204e+15  9e+15  5e-15  1e-04\n",
      " 9:  1.9360e+09 -9.3232e+13  9e+13  2e-16  1e-06\n",
      "10:  1.9351e+09 -9.6038e+11  1e+12  1e-16  1e-08\n",
      "11:  1.8533e+09 -3.6580e+10  4e+10  2e-16  7e-10\n",
      "12:  6.0726e+08 -5.4025e+09  6e+09  1e-16  1e-09\n",
      "13:  1.3483e+08 -2.4007e+08  4e+08  2e-16  4e-11\n",
      "14:  1.9669e+07 -2.1134e+07  4e+07  2e-16  1e-12\n",
      "15:  2.8245e+06 -3.1594e+06  6e+06  2e-16  6e-13\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16:  4.0402e+05 -4.4886e+05  9e+05  2e-16  1e-13\n",
      "17:  5.7508e+04 -6.4656e+04  1e+05  1e-16  3e-14\n",
      "18:  8.0841e+03 -9.4146e+03  2e+04  2e-16  3e-14\n",
      "19:  1.0958e+03 -1.4098e+03  3e+03  2e-16  9e-15\n",
      "20:  1.3014e+02 -2.2726e+02  4e+02  1e-16  3e-15\n",
      "21:  4.8828e+00 -4.4689e+01  5e+01  3e-16  6e-16\n",
      "22: -8.5519e+00 -1.6849e+01  8e+00  2e-16  3e-16\n",
      "23: -1.0467e+01 -1.1759e+01  1e+00  1e-16  1e-16\n",
      "24: -1.0604e+01 -1.0831e+01  2e-01  2e-16  8e-17\n",
      "25: -1.0630e+01 -1.0653e+01  2e-02  3e-16  8e-17\n",
      "26: -1.0631e+01 -1.0632e+01  7e-04  2e-16  8e-17\n",
      "27: -1.0631e+01 -1.0631e+01  7e-06  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.3075e+02 -4.6486e+06  6e+02  1e+00  1e+00\n",
      " 2:  5.4700e+02 -1.1470e+07  2e+03  1e+00  1e+00\n",
      " 3:  6.0337e+02 -1.5127e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.7738e+02 -3.9682e+07  8e+03  1e+00  1e+00\n",
      " 5:  4.3250e+02 -1.9524e+08  4e+04  1e+00  1e+00\n",
      " 6:  1.9551e+02 -8.6079e+10  2e+07  1e+00  1e+00\n",
      " 7:  3.9632e+09 -1.7992e+18  2e+18  3e-13  3e-04\n",
      " 8:  3.9632e+09 -1.7992e+16  2e+16  3e-15  2e-04\n",
      " 9:  3.9632e+09 -1.7998e+14  2e+14  2e-16  2e-06\n",
      "10:  3.9624e+09 -1.8621e+12  2e+12  1e-16  3e-08\n",
      "11:  3.8929e+09 -8.0342e+10  8e+10  2e-16  1e-09\n",
      "12:  1.7497e+09 -5.7033e+10  6e+10  2e-16  5e-10\n",
      "13:  8.4154e+08 -5.0742e+09  6e+09  2e-16  4e-11\n",
      "14:  1.5473e+08 -2.3138e+08  4e+08  2e-16  3e-12\n",
      "15:  2.2401e+07 -2.4705e+07  5e+07  2e-16  1e-12\n",
      "16:  3.2175e+06 -3.5909e+06  7e+06  2e-16  5e-13\n",
      "17:  4.6049e+05 -5.1121e+05  1e+06  2e-16  2e-13\n",
      "18:  6.5624e+04 -7.3524e+04  1e+05  2e-16  6e-14\n",
      "19:  9.2548e+03 -1.0677e+04  2e+04  2e-16  2e-14\n",
      "20:  1.2664e+03 -1.5877e+03  3e+03  1e-16  8e-15\n",
      "21:  1.5576e+02 -2.5159e+02  4e+02  1e-16  3e-15\n",
      "22:  9.0161e+00 -4.7747e+01  6e+01  2e-16  1e-15\n",
      "23: -7.9819e+00 -1.6520e+01  9e+00  2e-16  3e-16\n",
      "24: -1.0363e+01 -1.3453e+01  3e+00  2e-16  2e-16\n",
      "25: -1.0620e+01 -1.0783e+01  2e-01  2e-16  8e-17\n",
      "26: -1.0632e+01 -1.0644e+01  1e-02  1e-16  1e-16\n",
      "27: -1.0633e+01 -1.0633e+01  5e-04  1e-16  1e-16\n",
      "28: -1.0633e+01 -1.0633e+01  7e-06  1e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.3053e+02 -5.1663e+06  7e+02  1e+00  1e+00\n",
      " 2:  6.7028e+02 -1.4336e+07  3e+03  1e+00  1e+00\n",
      " 3:  7.7765e+02 -1.8730e+07  4e+03  1e+00  1e+00\n",
      " 4:  2.3040e+02 -4.0642e+07  8e+03  1e+00  1e+00\n",
      " 5:  5.0766e+02 -1.6140e+08  3e+04  1e+00  1e+00\n",
      " 6:  3.7550e+02 -2.0480e+10  4e+06  1e+00  1e+00\n",
      " 7:  2.5747e+02 -1.8232e+14  1e+11  1e+00  1e+00\n",
      " 8:  1.5268e+09 -5.3512e+20  5e+20  2e-13  9e-02\n",
      " 9:  1.5268e+09 -5.3512e+18  5e+18  2e-15  7e-02\n",
      "10:  1.5268e+09 -5.3512e+16  5e+16  2e-16  9e-04\n",
      "11:  1.5268e+09 -5.3514e+14  5e+14  3e-16  9e-06\n",
      "12:  1.5267e+09 -5.3725e+12  5e+12  2e-16  7e-08\n",
      "13:  1.5166e+09 -7.4683e+10  8e+10  1e-16  1e-09\n",
      "14:  1.0704e+09 -1.4909e+10  2e+10  2e-16  1e-08\n",
      "15:  2.7276e+08 -1.6380e+09  2e+09  1e-16  6e-12\n",
      "16:  4.9066e+07 -8.0368e+07  1e+08  2e-16  1e-12\n",
      "17:  7.0570e+06 -7.6166e+06  1e+07  3e-16  6e-13\n",
      "18:  1.0120e+06 -1.1288e+06  2e+06  2e-16  2e-13\n",
      "19:  1.4453e+05 -1.6108e+05  3e+05  2e-16  1e-13\n",
      "20:  2.0496e+04 -2.3281e+04  4e+04  2e-16  4e-14\n",
      "21:  2.8510e+03 -3.4189e+03  6e+03  2e-16  1e-14\n",
      "22:  3.7295e+02 -5.2382e+02  9e+02  2e-16  5e-15\n",
      "23:  3.6631e+01 -9.0209e+01  1e+02  2e-16  2e-15\n",
      "24: -5.3769e+00 -2.2058e+01  2e+01  2e-16  7e-16\n",
      "25: -1.0019e+01 -1.2808e+01  3e+00  2e-16  2e-16\n",
      "26: -1.0609e+01 -1.0974e+01  4e-01  2e-16  8e-17\n",
      "27: -1.0634e+01 -1.0662e+01  3e-02  2e-16  1e-16\n",
      "28: -1.0636e+01 -1.0638e+01  2e-03  2e-16  1e-16\n",
      "29: -1.0636e+01 -1.0636e+01  3e-05  3e-16  8e-17\n",
      "30: -1.0636e+01 -1.0636e+01  3e-07  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "processing  RXQASA_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.7419e+01 -2.2019e+05  4e+01  1e+00  1e+00\n",
      " 2:  8.7435e-02 -2.7388e+06  6e+02  1e+00  1e+00\n",
      " 3:  6.9708e+00 -4.4816e+08  9e+04  1e+00  1e+00\n",
      " 4:  1.6067e+01 -7.0751e+12  6e+09  1e+00  1e+00\n",
      " 5:  7.0865e+04 -9.0905e+18  9e+18  2e-13  2e-02\n",
      " 6:  7.0865e+04 -9.0905e+16  9e+16  1e-15  9e-03\n",
      " 7:  7.0865e+04 -9.0905e+14  9e+14  2e-16  1e-04\n",
      " 8:  7.0865e+04 -9.0905e+12  9e+12  4e-17  5e-07\n",
      " 9:  7.0865e+04 -9.0905e+10  9e+10  2e-16  1e-08\n",
      "10:  7.0805e+04 -9.0925e+08  9e+08  4e-17  3e-10\n",
      "11:  6.5314e+04 -9.2801e+06  9e+06  1e-16  4e-12\n",
      "12:  1.3889e+04 -1.1449e+05  1e+05  9e-17  1e-14\n",
      "13:  2.0177e+03 -3.1514e+03  5e+03  1e-16  9e-15\n",
      "14:  2.7564e+02 -3.3337e+02  6e+02  8e-17  5e-15\n",
      "15:  3.4281e+01 -5.4008e+01  9e+01  2e-16  4e-15\n",
      "16:  2.1275e+00 -1.0147e+01  1e+01  2e-16  1e-15\n",
      "17: -1.8419e+00 -3.5296e+00  2e+00  2e-16  2e-16\n",
      "18: -2.2618e+00 -2.4794e+00  2e-01  2e-16  2e-16\n",
      "19: -2.2820e+00 -2.2912e+00  9e-03  3e-16  1e-16\n",
      "20: -2.2821e+00 -2.2821e+00  9e-05  1e-16  7e-17\n",
      "21: -2.2821e+00 -2.2821e+00  9e-07  2e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  2.9114e+01 -4.3598e+05  8e+01  1e+00  1e+00\n",
      " 2:  5.7888e-02 -2.2054e+06  5e+02  1e+00  1e+00\n",
      " 3:  9.3363e+00 -1.2805e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.0768e+01 -5.5847e+08  1e+05  1e+00  1e+00\n",
      " 5:  9.6222e+00 -2.8194e+12  1e+09  1e+00  1e+00\n",
      " 6:  7.5745e+07 -1.6863e+19  2e+19  8e-14  2e-02\n",
      " 7:  7.5745e+07 -1.6863e+17  2e+17  8e-16  1e-02\n",
      " 8:  7.5745e+07 -1.6863e+15  2e+15  1e-16  2e-04\n",
      " 9:  7.5745e+07 -1.6864e+13  2e+13  3e-16  1e-06\n",
      "10:  7.5735e+07 -1.6905e+11  2e+11  3e-17  2e-08\n",
      "11:  7.4746e+07 -2.0962e+09  2e+09  1e-16  4e-10\n",
      "12:  3.5233e+07 -1.8741e+08  2e+08  2e-16  4e-09\n",
      "13:  5.2722e+06 -7.4175e+06  1e+07  1e-16  4e-12\n",
      "14:  7.6351e+05 -8.5372e+05  2e+06  8e-17  2e-13\n",
      "15:  1.0953e+05 -1.2274e+05  2e+05  2e-16  2e-13\n",
      "16:  1.5621e+04 -1.7538e+04  3e+04  9e-17  2e-14\n",
      "17:  2.2041e+03 -2.5434e+03  5e+03  1e-16  2e-14\n",
      "18:  3.0195e+02 -3.7776e+02  7e+02  2e-16  9e-16\n",
      "19:  3.7443e+01 -5.9628e+01  1e+02  3e-16  2e-15\n",
      "20:  2.5615e+00 -1.1040e+01  1e+01  1e-16  5e-16\n",
      "21: -1.2405e+00 -4.0304e+00  3e+00  2e-16  6e-16\n",
      "22: -2.1565e+00 -2.8388e+00  7e-01  3e-16  2e-16\n",
      "23: -2.2741e+00 -2.3459e+00  7e-02  9e-17  6e-17\n",
      "24: -2.2888e+00 -2.2961e+00  7e-03  3e-16  1e-16\n",
      "25: -2.2896e+00 -2.2900e+00  4e-04  1e-16  6e-17\n",
      "26: -2.2896e+00 -2.2896e+00  4e-06  2e-16  1e-16\n",
      "27: -2.2896e+00 -2.2896e+00  4e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.3699e+01 -4.4829e+05  8e+01  1e+00  1e+00\n",
      " 2:  3.3321e+01 -9.1999e+05  2e+02  1e+00  1e+00\n",
      " 3:  3.2653e-01 -9.4409e+06  2e+03  1e+00  1e+00\n",
      " 4:  3.8417e+00 -9.7389e+07  2e+04  1e+00  1e+00\n",
      " 5:  8.0080e+00 -1.2521e+10  3e+06  1e+00  1e+00\n",
      " 6:  3.5265e+08 -2.9468e+17  3e+17  7e-13  4e-04\n",
      " 7:  3.5265e+08 -2.9468e+15  3e+15  7e-15  2e-04\n",
      " 8:  3.5265e+08 -2.9471e+13  3e+13  2e-16  2e-06\n",
      " 9:  3.5263e+08 -2.9692e+11  3e+11  2e-16  3e-08\n",
      "10:  3.5091e+08 -5.1755e+09  6e+09  2e-16  7e-10\n",
      "11:  2.4424e+08 -1.4406e+09  2e+09  3e-16  2e-08\n",
      "12:  4.0921e+07 -3.8632e+08  4e+08  2e-16  3e-12\n",
      "13:  9.8946e+06 -1.5444e+07  3e+07  2e-16  1e-12\n",
      "14:  1.4382e+06 -1.5513e+06  3e+06  2e-16  3e-13\n",
      "15:  2.0630e+05 -2.3118e+05  4e+05  2e-16  2e-13\n",
      "16:  2.9433e+04 -3.2951e+04  6e+04  1e-16  4e-14\n",
      "17:  4.1600e+03 -4.7761e+03  9e+03  3e-16  5e-14\n",
      "18:  5.7309e+02 -7.0674e+02  1e+03  1e-16  8e-15\n",
      "19:  7.2673e+01 -1.1036e+02  2e+02  2e-16  2e-15\n",
      "20:  6.0793e+00 -1.9791e+01  3e+01  2e-16  3e-15\n",
      "21: -1.6321e+00 -4.9994e+00  3e+00  1e-16  4e-16\n",
      "22: -2.2442e+00 -2.5109e+00  3e-01  2e-16  2e-16\n",
      "23: -2.2874e+00 -2.3096e+00  2e-02  1e-16  2e-16\n",
      "24: -2.2916e+00 -2.2937e+00  2e-03  3e-16  2e-16\n",
      "25: -2.2918e+00 -2.2919e+00  9e-05  2e-16  1e-16\n",
      "26: -2.2918e+00 -2.2918e+00  1e-06  2e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.7533e+01 -6.0280e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.9606e+01 -1.1746e+06  2e+02  1e+00  1e+00\n",
      " 3:  1.0284e+00 -7.7637e+06  2e+03  1e+00  1e+00\n",
      " 4:  6.9370e+00 -4.5144e+07  9e+03  1e+00  1e+00\n",
      " 5:  1.5032e+01 -1.6524e+09  3e+05  1e+00  1e+00\n",
      " 6:  1.5850e+01 -6.2701e+12  2e+09  1e+00  1e+00\n",
      " 7:  3.0155e+08 -4.9185e+19  5e+19  3e-13  7e-02\n",
      " 8:  3.0155e+08 -4.9185e+17  5e+17  3e-15  4e-02\n",
      " 9:  3.0155e+08 -4.9185e+15  5e+15  2e-16  7e-04\n",
      "10:  3.0155e+08 -4.9187e+13  5e+13  1e-16  7e-06\n",
      "11:  3.0154e+08 -4.9417e+11  5e+11  2e-16  6e-08\n",
      "12:  3.0009e+08 -7.2284e+09  8e+09  1e-16  1e-09\n",
      "13:  2.1955e+08 -1.6707e+09  2e+09  1e-16  4e-07\n",
      "14:  4.2313e+07 -3.4381e+08  4e+08  3e-16  6e-12\n",
      "15:  9.3316e+06 -1.5549e+07  2e+07  2e-16  1e-12\n",
      "16:  1.3530e+06 -1.4551e+06  3e+06  2e-16  6e-13\n",
      "17:  1.9412e+05 -2.1740e+05  4e+05  2e-16  3e-13\n",
      "18:  2.7708e+04 -3.0967e+04  6e+04  1e-16  9e-14\n",
      "19:  3.9219e+03 -4.4826e+03  8e+03  3e-16  3e-14\n",
      "20:  5.4250e+02 -6.6116e+02  1e+03  1e-16  2e-14\n",
      "21:  6.9684e+01 -1.0243e+02  2e+02  2e-16  4e-15\n",
      "22:  6.2291e+00 -1.8083e+01  2e+01  2e-16  1e-15\n",
      "23: -1.3815e+00 -4.5282e+00  3e+00  2e-16  3e-16\n",
      "24: -2.1510e+00 -2.5592e+00  4e-01  2e-16  1e-16\n",
      "25: -2.2719e+00 -2.3400e+00  7e-02  1e-16  5e-17\n",
      "26: -2.2905e+00 -2.2990e+00  8e-03  1e-16  1e-16\n",
      "27: -2.2923e+00 -2.2931e+00  8e-04  2e-16  2e-16\n",
      "28: -2.2924e+00 -2.2924e+00  6e-05  2e-16  1e-16\n",
      "29: -2.2924e+00 -2.2924e+00  7e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.3428e+01 -1.0026e+06  2e+02  1e+00  1e+00\n",
      " 2:  3.6590e+01 -2.4191e+06  5e+02  1e+00  1e+00\n",
      " 3:  4.4530e+01 -2.1666e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.4143e+01 -7.5993e+09  2e+06  1e+00  1e+00\n",
      " 5:  4.4704e+08 -1.6475e+17  2e+17  5e-13  2e-04\n",
      " 6:  4.4704e+08 -1.6475e+15  2e+15  5e-15  1e-04\n",
      " 7:  4.4704e+08 -1.6480e+13  2e+13  2e-16  2e-06\n",
      " 8:  4.4699e+08 -1.6968e+11  2e+11  2e-16  2e-08\n",
      " 9:  4.4303e+08 -6.5531e+09  7e+09  1e-16  1e-09\n",
      "10:  1.1010e+08 -3.7977e+09  4e+09  2e-16  4e-09\n",
      "11:  4.5929e+07 -1.4632e+08  2e+08  1e-16  2e-10\n",
      "12:  7.2916e+06 -8.7674e+06  2e+07  2e-16  4e-12\n",
      "13:  1.0473e+06 -1.1635e+06  2e+06  2e-16  4e-13\n",
      "14:  1.5004e+05 -1.6664e+05  3e+05  2e-16  2e-13\n",
      "15:  2.1409e+04 -2.3915e+04  5e+04  2e-16  3e-14\n",
      "16:  3.0286e+03 -3.4635e+03  6e+03  8e-17  3e-14\n",
      "17:  4.1843e+02 -5.1140e+02  9e+02  2e-16  1e-14\n",
      "18:  5.3522e+01 -7.9410e+01  1e+02  1e-16  3e-15\n",
      "19:  4.6395e+00 -1.4103e+01  2e+01  3e-16  1e-15\n",
      "20: -7.9502e-01 -4.9685e+00  4e+00  2e-16  2e-16\n",
      "21: -2.1125e+00 -3.2260e+00  1e+00  1e-16  2e-16\n",
      "22: -2.2681e+00 -2.3652e+00  1e-01  2e-16  1e-16\n",
      "23: -2.2904e+00 -2.3013e+00  1e-02  1e-16  1e-16\n",
      "24: -2.2924e+00 -2.2934e+00  1e-03  7e-17  7e-17\n",
      "25: -2.2925e+00 -2.2925e+00  8e-05  2e-16  8e-17\n",
      "26: -2.2925e+00 -2.2925e+00  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  6.3020e+01 -1.2807e+06  2e+02  1e+00  1e+00\n",
      " 2:  6.3790e+01 -2.5604e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.1018e+01 -5.3008e+07  1e+04  1e+00  1e+00\n",
      " 4:  1.4160e+01 -9.1325e+08  2e+05  1e+00  1e+00\n",
      " 5:  2.2297e+01 -3.5600e+11  8e+07  1e+00  1e+00\n",
      " 6:  9.1155e+08 -7.5173e+18  8e+18  7e-13  4e-03\n",
      " 7:  9.1155e+08 -7.5173e+16  8e+16  7e-15  7e-03\n",
      " 8:  9.1155e+08 -7.5174e+14  8e+14  2e-16  8e-05\n",
      " 9:  9.1155e+08 -7.5229e+12  8e+12  2e-16  8e-07\n",
      "10:  9.1080e+08 -8.0759e+10  8e+10  2e-16  9e-09\n",
      "11:  8.4927e+08 -6.1597e+09  7e+09  1e-16  1e-09\n",
      "12:  2.6280e+08 -5.5054e+09  6e+09  2e-16  9e-10\n",
      "13:  1.0809e+08 -5.1115e+08  6e+08  2e-16  8e-11\n",
      "14:  1.8585e+07 -2.6017e+07  4e+07  3e-16  1e-12\n",
      "15:  2.6880e+06 -2.9971e+06  6e+06  1e-16  7e-13\n",
      "16:  3.8594e+05 -4.3081e+05  8e+05  2e-16  3e-13\n",
      "17:  5.5187e+04 -6.1451e+04  1e+05  1e-16  6e-14\n",
      "18:  7.8449e+03 -8.8565e+03  2e+04  2e-16  4e-14\n",
      "19:  1.0986e+03 -1.2936e+03  2e+03  3e-16  2e-14\n",
      "20:  1.4710e+02 -1.9532e+02  3e+02  2e-16  8e-15\n",
      "21:  1.6559e+01 -3.2184e+01  5e+01  1e-16  2e-15\n",
      "22: -6.7071e-02 -6.7144e+00  7e+00  2e-16  6e-16\n",
      "23: -1.8552e+00 -3.2891e+00  1e+00  1e-16  1e-16\n",
      "24: -2.2470e+00 -2.4554e+00  2e-01  2e-16  2e-16\n",
      "25: -2.2870e+00 -2.3077e+00  2e-02  2e-16  1e-16\n",
      "26: -2.2921e+00 -2.2945e+00  2e-03  1e-16  2e-16\n",
      "27: -2.2925e+00 -2.2927e+00  2e-04  9e-17  8e-17\n",
      "28: -2.2925e+00 -2.2926e+00  2e-05  2e-16  9e-17\n",
      "29: -2.2925e+00 -2.2925e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.3247e+01 -1.4565e+06  3e+02  1e+00  1e+00\n",
      " 2:  9.9740e+01 -2.6806e+06  5e+02  1e+00  1e+00\n",
      " 3:  7.6467e+00 -1.3991e+07  3e+03  1e+00  1e+00\n",
      " 4:  3.2330e+01 -8.6356e+07  2e+04  1e+00  1e+00\n",
      " 5:  5.8400e+01 -5.3893e+09  1e+06  1e+00  1e+00\n",
      " 6:  3.5768e+08 -1.3059e+17  1e+17  3e-13  1e-04\n",
      " 7:  3.5768e+08 -1.3059e+15  1e+15  4e-15  6e-05\n",
      " 8:  3.5768e+08 -1.3064e+13  1e+13  2e-16  1e-06\n",
      " 9:  3.5755e+08 -1.3493e+11  1e+11  1e-16  1e-08\n",
      "10:  3.4547e+08 -5.5165e+09  6e+09  1e-16  7e-10\n",
      "11:  1.0130e+08 -1.2815e+09  1e+09  2e-16  1e-09\n",
      "12:  2.4532e+07 -4.3928e+07  7e+07  1e-16  4e-11\n",
      "13:  3.6923e+06 -4.0840e+06  8e+06  1e-16  9e-13\n",
      "14:  5.2976e+05 -5.8954e+05  1e+06  2e-16  2e-13\n",
      "15:  7.5741e+04 -8.4229e+04  2e+05  2e-16  1e-13\n",
      "16:  1.0769e+04 -1.2143e+04  2e+04  2e-16  4e-14\n",
      "17:  1.5093e+03 -1.7729e+03  3e+03  2e-16  2e-14\n",
      "18:  2.0277e+02 -2.6718e+02  5e+02  2e-16  5e-15\n",
      "19:  2.3261e+01 -4.3738e+01  7e+01  2e-16  2e-15\n",
      "20:  3.8038e-01 -8.8752e+00  9e+00  2e-16  4e-16\n",
      "21: -2.0130e+00 -3.0429e+00  1e+00  2e-16  2e-16\n",
      "22: -2.2537e+00 -2.3854e+00  1e-01  2e-16  2e-16\n",
      "23: -2.2890e+00 -2.3062e+00  2e-02  2e-16  2e-16\n",
      "24: -2.2924e+00 -2.2945e+00  2e-03  2e-16  9e-17\n",
      "25: -2.2927e+00 -2.2928e+00  2e-04  3e-16  7e-17\n",
      "26: -2.2927e+00 -2.2927e+00  4e-06  2e-16  5e-17\n",
      "27: -2.2927e+00 -2.2927e+00  4e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  6.1808e+01 -1.6378e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.3411e+02 -3.1292e+06  6e+02  1e+00  1e+00\n",
      " 3:  8.9188e+00 -1.1541e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.2337e+01 -5.7307e+07  1e+04  1e+00  1e+00\n",
      " 5:  8.4580e+01 -2.4187e+09  5e+05  1e+00  1e+00\n",
      " 6:  3.9909e+08 -5.9147e+16  6e+16  5e-13  6e-05\n",
      " 7:  3.9909e+08 -5.9147e+14  6e+14  4e-15  3e-05\n",
      " 8:  3.9908e+08 -5.9190e+12  6e+12  2e-16  4e-07\n",
      " 9:  3.9850e+08 -6.3486e+10  6e+10  2e-16  5e-09\n",
      "10:  3.5225e+08 -4.5171e+09  5e+09  2e-16  4e-10\n",
      "11:  9.3522e+07 -7.5379e+08  8e+08  2e-16  3e-10\n",
      "12:  1.8775e+07 -3.1577e+07  5e+07  2e-16  9e-12\n",
      "13:  2.7345e+06 -2.9600e+06  6e+06  2e-16  8e-13\n",
      "14:  3.9226e+05 -4.3739e+05  8e+05  2e-16  2e-13\n",
      "15:  5.6048e+04 -6.2389e+04  1e+05  2e-16  1e-13\n",
      "16:  7.9587e+03 -9.0074e+03  2e+04  1e-16  4e-14\n",
      "17:  1.1116e+03 -1.3188e+03  2e+03  2e-16  2e-14\n",
      "18:  1.4772e+02 -2.0021e+02  3e+02  2e-16  7e-15\n",
      "19:  1.6165e+01 -3.3382e+01  5e+01  2e-16  3e-15\n",
      "20: -2.7358e-01 -7.0621e+00  7e+00  2e-16  1e-15\n",
      "21: -1.7918e+00 -3.3123e+00  2e+00  1e-16  4e-16\n",
      "22: -2.2162e+00 -2.6024e+00  4e-01  1e-16  1e-16\n",
      "23: -2.2835e+00 -2.3343e+00  5e-02  1e-16  9e-17\n",
      "24: -2.2919e+00 -2.2966e+00  5e-03  2e-16  4e-17\n",
      "25: -2.2926e+00 -2.2931e+00  5e-04  1e-16  1e-16\n",
      "26: -2.2927e+00 -2.2927e+00  4e-05  1e-16  7e-17\n",
      "27: -2.2927e+00 -2.2927e+00  7e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  9.0395e+01 -2.1848e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.3308e+02 -3.8863e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.7625e+01 -1.7541e+07  3e+03  1e+00  1e+00\n",
      " 4:  4.8073e+01 -8.9718e+07  2e+04  1e+00  1e+00\n",
      " 5:  7.1444e+01 -3.1215e+09  6e+05  1e+00  1e+00\n",
      " 6:  6.9279e+01 -1.2393e+13  5e+09  1e+00  1e+00\n",
      " 7:  2.9527e+08 -9.3522e+19  9e+19  3e-13  6e-02\n",
      " 8:  2.9527e+08 -9.3522e+17  9e+17  3e-15  5e-02\n",
      " 9:  2.9527e+08 -9.3523e+15  9e+15  3e-16  6e-04\n",
      "10:  2.9527e+08 -9.3527e+13  9e+13  1e-16  9e-06\n",
      "11:  2.9525e+08 -9.3991e+11  9e+11  2e-16  1e-07\n",
      "12:  2.9311e+08 -1.4004e+10  1e+10  2e-16  2e-09\n",
      "13:  2.0047e+08 -2.9730e+09  3e+09  2e-16  1e-09\n",
      "14:  5.0497e+07 -2.6659e+08  3e+08  2e-16  6e-12\n",
      "15:  8.9078e+06 -1.3952e+07  2e+07  2e-16  1e-12\n",
      "16:  1.2809e+06 -1.3914e+06  3e+06  2e-16  7e-13\n",
      "17:  1.8361e+05 -2.0495e+05  4e+05  2e-16  2e-13\n",
      "18:  2.6196e+04 -2.9289e+04  6e+04  1e-16  6e-14\n",
      "19:  3.7049e+03 -4.2427e+03  8e+03  2e-16  2e-14\n",
      "20:  5.1150e+02 -6.2681e+02  1e+03  3e-16  1e-14\n",
      "21:  6.5346e+01 -9.7456e+01  2e+02  2e-16  4e-15\n",
      "22:  5.7207e+00 -1.7301e+01  2e+01  2e-16  1e-15\n",
      "23: -1.3090e+00 -4.3024e+00  3e+00  3e-16  8e-16\n",
      "24: -2.0937e+00 -2.7973e+00  7e-01  2e-16  2e-16\n",
      "25: -2.2470e+00 -2.4122e+00  2e-01  2e-16  2e-16\n",
      "26: -2.2878e+00 -2.3097e+00  2e-02  2e-16  2e-16\n",
      "27: -2.2923e+00 -2.2943e+00  2e-03  3e-16  1e-16\n",
      "28: -2.2927e+00 -2.2930e+00  3e-04  2e-16  1e-16\n",
      "29: -2.2927e+00 -2.2928e+00  5e-05  2e-16  6e-17\n",
      "30: -2.2927e+00 -2.2927e+00  6e-06  1e-16  6e-17\n",
      "31: -2.2927e+00 -2.2927e+00  3e-07  2e-16  8e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  RHQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.3208e+02 -1.4655e+06  3e+02  1e+00  1e+00\n",
      " 2:  8.4084e+00 -3.5609e+06  1e+03  1e+00  1e+00\n",
      " 3:  7.0701e+01 -1.0685e+08  2e+04  1e+00  1e+00\n",
      " 4:  1.2930e+02 -4.1754e+10  9e+06  1e+00  1e+00\n",
      " 5:  1.3114e+06 -8.8268e+17  9e+17  3e-13  3e-04\n",
      " 6:  1.3114e+06 -8.8268e+15  9e+15  3e-15  9e-05\n",
      " 7:  1.3114e+06 -8.8268e+13  9e+13  3e-16  2e-06\n",
      " 8:  1.3114e+06 -8.8268e+11  9e+11  2e-16  1e-08\n",
      " 9:  1.3102e+06 -8.8302e+09  9e+09  2e-16  3e-10\n",
      "10:  1.2003e+06 -9.1361e+07  9e+07  1e-16  3e-12\n",
      "11:  2.4927e+05 -1.2662e+06  2e+06  2e-16  1e-13\n",
      "12:  3.6366e+04 -4.8238e+04  8e+04  1e-16  1e-14\n",
      "13:  5.0438e+03 -5.9776e+03  1e+04  2e-17  8e-15\n",
      "14:  6.6061e+02 -9.2949e+02  2e+03  3e-16  4e-15\n",
      "15:  6.6930e+01 -1.5864e+02  2e+02  2e-16  5e-16\n",
      "16: -5.6346e+00 -3.5896e+01  3e+01  3e-16  2e-16\n",
      "17: -1.2604e+01 -1.7749e+01  5e+00  1e-16  1e-16\n",
      "18: -1.3773e+01 -1.4510e+01  7e-01  9e-17  2e-16\n",
      "19: -1.3817e+01 -1.3842e+01  2e-02  1e-16  6e-17\n",
      "20: -1.3817e+01 -1.3818e+01  3e-04  2e-16  3e-17\n",
      "21: -1.3817e+01 -1.3817e+01  3e-06  4e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.9025e+02 -2.6731e+06  5e+02  1e+00  1e+00\n",
      " 2:  1.6744e+02 -3.3714e+06  6e+02  1e+00  1e+00\n",
      " 3:  3.6061e+01 -4.2755e+07  9e+03  1e+00  1e+00\n",
      " 4:  2.4028e+02 -8.7694e+08  2e+05  1e+00  1e+00\n",
      " 5:  5.7927e+08 -2.1434e+16  2e+16  4e-13  4e-06\n",
      " 6:  5.7927e+08 -2.1434e+14  2e+14  4e-15  4e-06\n",
      " 7:  5.7922e+08 -2.1459e+12  2e+12  2e-16  4e-08\n",
      " 8:  5.7462e+08 -2.3908e+10  2e+10  2e-16  5e-10\n",
      " 9:  3.3660e+08 -1.5988e+09  2e+09  1e-16  4e-11\n",
      "10:  5.4664e+07 -7.9234e+07  1e+08  2e-16  8e-13\n",
      "11:  7.9271e+06 -8.8454e+06  2e+07  3e-16  4e-13\n",
      "12:  1.1375e+06 -1.2758e+06  2e+06  3e-16  2e-13\n",
      "13:  1.6224e+05 -1.8218e+05  3e+05  2e-16  3e-14\n",
      "14:  2.2897e+04 -2.6417e+04  5e+04  3e-16  1e-14\n",
      "15:  3.1398e+03 -3.9220e+03  7e+03  2e-16  8e-15\n",
      "16:  3.9163e+02 -6.1786e+02  1e+03  2e-16  3e-15\n",
      "17:  2.9199e+01 -1.1318e+02  1e+02  2e-16  1e-15\n",
      "18: -1.1475e+01 -2.9759e+01  2e+01  2e-16  4e-16\n",
      "19: -1.4162e+01 -1.7215e+01  3e+00  2e-16  1e-16\n",
      "20: -1.4434e+01 -1.4736e+01  3e-01  1e-16  8e-17\n",
      "21: -1.4436e+01 -1.4439e+01  3e-03  2e-16  1e-16\n",
      "22: -1.4436e+01 -1.4436e+01  3e-05  2e-16  9e-17\n",
      "23: -1.4436e+01 -1.4436e+01  3e-07  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.4797e+02 -4.0017e+06  7e+02  1e+00  1e+00\n",
      " 2:  2.4967e+02 -5.0122e+06  9e+02  1e+00  1e+00\n",
      " 3:  6.5212e+01 -1.6193e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.2834e+02 -5.9578e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.3644e+02 -8.5033e+08  2e+05  1e+00  1e+00\n",
      " 6:  1.4209e+02 -2.0380e+11  4e+07  1e+00  1e+00\n",
      " 7:  1.7837e+09 -4.5536e+18  5e+18  5e-13  1e-03\n",
      " 8:  1.7837e+09 -4.5536e+16  5e+16  5e-15  4e-04\n",
      " 9:  1.7837e+09 -4.5538e+14  5e+14  3e-16  5e-06\n",
      "10:  1.7836e+09 -4.5648e+12  5e+12  1e-16  7e-08\n",
      "11:  1.7805e+09 -5.6657e+10  6e+10  2e-16  9e-10\n",
      "12:  1.5512e+09 -1.0082e+10  1e+10  6e-17  3e-08\n",
      "13:  1.3784e+08 -4.6025e+09  5e+09  2e-16  3e-11\n",
      "14:  3.6203e+07 -1.1218e+08  1e+08  1e-16  9e-13\n",
      "15:  5.4479e+06 -6.2902e+06  1e+07  2e-16  2e-13\n",
      "16:  7.7920e+05 -8.6438e+05  2e+06  2e-16  2e-13\n",
      "17:  1.1094e+05 -1.2479e+05  2e+05  2e-16  8e-14\n",
      "18:  1.5600e+04 -1.8160e+04  3e+04  1e-16  1e-14\n",
      "19:  2.1173e+03 -2.7175e+03  5e+03  1e-16  1e-14\n",
      "20:  2.5399e+02 -4.3649e+02  7e+02  1e-16  1e-15\n",
      "21:  1.2723e+01 -8.3945e+01  1e+02  1e-16  7e-16\n",
      "22: -1.2899e+01 -2.4674e+01  1e+01  2e-16  5e-16\n",
      "23: -1.4514e+01 -1.5664e+01  1e+00  2e-16  1e-16\n",
      "24: -1.4649e+01 -1.4733e+01  8e-02  1e-16  1e-16\n",
      "25: -1.4651e+01 -1.4653e+01  1e-03  1e-16  8e-17\n",
      "26: -1.4651e+01 -1.4651e+01  1e-05  3e-16  1e-16\n",
      "27: -1.4651e+01 -1.4651e+01  1e-07  3e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.8871e+02 -5.3384e+06  9e+02  1e+00  1e+00\n",
      " 2:  3.2340e+02 -6.7922e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.9861e+02 -1.2395e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.4016e+02 -1.4058e+08  3e+04  1e+00  1e+00\n",
      " 5:  3.3103e+02 -4.6436e+09  9e+05  1e+00  1e+00\n",
      " 6:  2.2371e+09 -1.1274e+17  1e+17  3e-13  2e-05\n",
      " 7:  2.2371e+09 -1.1274e+15  1e+15  3e-15  1e-05\n",
      " 8:  2.2370e+09 -1.1304e+13  1e+13  1e-16  2e-07\n",
      " 9:  2.2325e+09 -1.4306e+11  1e+11  2e-16  3e-09\n",
      "10:  1.9193e+09 -2.6204e+10  3e+10  2e-16  6e-10\n",
      "11:  2.9095e+08 -1.2417e+10  1e+10  6e-16  1e-10\n",
      "12:  1.0839e+08 -3.9640e+08  5e+08  2e-16  5e-12\n",
      "13:  1.6842e+07 -2.0420e+07  4e+07  3e-16  4e-13\n",
      "14:  2.4137e+06 -2.6730e+06  5e+06  8e-17  4e-13\n",
      "15:  3.4492e+05 -3.8517e+05  7e+05  2e-16  9e-14\n",
      "16:  4.8928e+04 -5.5569e+04  1e+05  2e-16  2e-14\n",
      "17:  6.8126e+03 -8.1555e+03  1e+04  2e-16  1e-14\n",
      "18:  8.9616e+02 -1.2462e+03  2e+03  2e-16  6e-15\n",
      "19:  9.3442e+01 -2.1126e+02  3e+02  2e-16  2e-15\n",
      "20: -4.9741e+00 -4.6428e+01  4e+01  2e-16  3e-16\n",
      "21: -1.3826e+01 -1.8542e+01  5e+00  1e-16  2e-16\n",
      "22: -1.4741e+01 -1.7053e+01  2e+00  2e-16  1e-16\n",
      "23: -1.4816e+01 -1.4926e+01  1e-01  3e-16  6e-17\n",
      "24: -1.4817e+01 -1.4818e+01  1e-03  1e-16  9e-17\n",
      "25: -1.4817e+01 -1.4817e+01  1e-05  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.2424e+02 -6.8599e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.0689e+02 -8.7463e+06  2e+03  1e+00  1e+00\n",
      " 3:  5.2612e+02 -1.4071e+07  3e+03  1e+00  1e+00\n",
      " 4:  6.9023e+01 -1.2550e+08  3e+04  1e+00  1e+00\n",
      " 5:  1.1342e+02 -4.8909e+08  1e+05  1e+00  1e+00\n",
      " 6:  1.4604e+02 -6.7160e+09  1e+06  1e+00  1e+00\n",
      " 7:  1.6896e+02 -1.4970e+12  3e+08  1e+00  1e+00\n",
      " 8:  5.0611e+09 -3.3520e+19  3e+19  4e-13  4e-03\n",
      " 9:  5.0611e+09 -3.3520e+17  3e+17  4e-15  1e-03\n",
      "10:  5.0611e+09 -3.3520e+15  3e+15  2e-16  5e-05\n",
      "11:  5.0610e+09 -3.3557e+13  3e+13  2e-16  5e-07\n",
      "12:  5.0557e+09 -3.7230e+11  4e+11  2e-16  6e-09\n",
      "13:  4.6755e+09 -3.8960e+10  4e+10  2e-16  1e-07\n",
      "14:  1.2581e+09 -4.0476e+10  4e+10  1e-16  8e-08\n",
      "15:  5.7273e+08 -2.7861e+09  3e+09  1e-16  6e-09\n",
      "16:  1.0001e+08 -1.4005e+08  2e+08  1e-16  1e-10\n",
      "17:  1.4421e+07 -1.5957e+07  3e+07  2e-16  5e-13\n",
      "18:  2.0685e+06 -2.3078e+06  4e+06  1e-16  2e-13\n",
      "19:  2.9539e+05 -3.2982e+05  6e+05  2e-16  1e-13\n",
      "20:  4.1858e+04 -4.7681e+04  9e+04  2e-16  4e-14\n",
      "21:  5.8110e+03 -7.0140e+03  1e+04  2e-16  9e-15\n",
      "22:  7.5700e+02 -1.0783e+03  2e+03  1e-16  1e-15\n",
      "23:  7.5047e+01 -1.8563e+02  3e+02  1e-16  2e-15\n",
      "24: -7.1753e+00 -4.2301e+01  4e+01  2e-16  7e-16\n",
      "25: -1.4248e+01 -1.7641e+01  3e+00  2e-16  2e-16\n",
      "26: -1.4873e+01 -1.5650e+01  8e-01  2e-16  8e-17\n",
      "27: -1.4907e+01 -1.4943e+01  4e-02  2e-16  7e-17\n",
      "28: -1.4907e+01 -1.4907e+01  4e-04  2e-16  1e-16\n",
      "29: -1.4907e+01 -1.4907e+01  4e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  3.2506e+02 -7.9965e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.9174e+02 -1.0865e+07  2e+03  1e+00  1e+00\n",
      " 3:  6.7260e+02 -1.6039e+07  3e+03  1e+00  1e+00\n",
      " 4:  5.1190e+02 -2.9661e+07  6e+03  1e+00  1e+00\n",
      " 5:  3.8449e+02 -6.3784e+08  1e+05  1e+00  1e+00\n",
      " 6:  7.0843e+02 -7.1716e+10  1e+07  1e+00  1e+00\n",
      " 7:  8.6144e+08 -1.6780e+18  2e+18  6e-13  1e-04\n",
      " 8:  8.6144e+08 -1.6780e+16  2e+16  6e-15  6e-05\n",
      " 9:  8.6144e+08 -1.6780e+14  2e+14  1e-16  2e-06\n",
      "10:  8.6119e+08 -1.6801e+12  2e+12  1e-16  2e-08\n",
      "11:  8.3654e+08 -1.8847e+10  2e+10  2e-16  3e-10\n",
      "12:  2.7739e+08 -6.1153e+08  9e+08  1e-16  1e-11\n",
      "13:  4.2337e+07 -4.7375e+07  9e+07  2e-16  9e-13\n",
      "14:  6.0766e+06 -6.7671e+06  1e+07  1e-16  4e-13\n",
      "15:  8.6942e+05 -9.6582e+05  2e+06  2e-16  3e-13\n",
      "16:  1.2380e+05 -1.3903e+05  3e+05  1e-16  6e-14\n",
      "17:  1.7422e+04 -2.0227e+04  4e+04  1e-16  2e-14\n",
      "18:  2.3710e+03 -3.0212e+03  5e+03  2e-16  1e-14\n",
      "19:  2.8748e+02 -4.8285e+02  8e+02  1e-16  4e-15\n",
      "20:  1.6434e+01 -9.1662e+01  1e+02  3e-16  2e-15\n",
      "21: -1.2725e+01 -2.6111e+01  1e+01  1e-16  5e-16\n",
      "22: -1.4470e+01 -1.7194e+01  3e+00  3e-16  2e-16\n",
      "23: -1.4926e+01 -1.6487e+01  2e+00  2e-16  1e-16\n",
      "24: -1.4967e+01 -1.5035e+01  7e-02  3e-16  1e-16\n",
      "25: -1.4967e+01 -1.4968e+01  8e-04  2e-16  8e-17\n",
      "26: -1.4967e+01 -1.4967e+01  8e-06  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.1536e+02 -6.7886e+06  1e+03  1e+00  1e+00\n",
      " 2:  6.5425e+02 -1.3700e+07  2e+03  1e+00  1e+00\n",
      " 3:  7.7635e+02 -1.7423e+07  3e+03  1e+00  1e+00\n",
      " 4:  5.7509e+02 -4.0321e+07  8e+03  1e+00  1e+00\n",
      " 5:  3.5568e+02 -3.5522e+08  7e+04  1e+00  1e+00\n",
      " 6:  5.3097e+02 -1.1598e+10  2e+06  1e+00  1e+00\n",
      " 7:  2.0140e+09 -2.8240e+17  3e+17  6e-13  3e-05\n",
      " 8:  2.0140e+09 -2.8241e+15  3e+15  6e-15  9e-06\n",
      " 9:  2.0139e+09 -2.8301e+13  3e+13  2e-16  2e-07\n",
      "10:  2.0086e+09 -3.4356e+11  3e+11  1e-16  3e-09\n",
      "11:  1.6452e+09 -4.9743e+10  5e+10  2e-16  5e-10\n",
      "12:  4.4586e+08 -7.3793e+09  8e+09  3e-16  8e-11\n",
      "13:  1.0151e+08 -2.0295e+08  3e+08  3e-16  3e-12\n",
      "14:  1.5107e+07 -1.6606e+07  3e+07  2e-16  6e-13\n",
      "15:  2.1645e+06 -2.4043e+06  5e+06  1e-16  1e-13\n",
      "16:  3.0899e+05 -3.4455e+05  7e+05  2e-16  1e-13\n",
      "17:  4.3778e+04 -4.9846e+04  9e+04  2e-16  3e-14\n",
      "18:  6.0770e+03 -7.3348e+03  1e+04  2e-16  1e-14\n",
      "19:  7.9169e+02 -1.1277e+03  2e+03  2e-16  5e-15\n",
      "20:  7.8590e+01 -1.9412e+02  3e+02  2e-16  2e-15\n",
      "21: -7.3308e+00 -4.4146e+01  4e+01  2e-16  7e-16\n",
      "22: -1.4574e+01 -1.8073e+01  3e+00  2e-16  2e-16\n",
      "23: -1.4959e+01 -1.5383e+01  4e-01  1e-16  1e-16\n",
      "24: -1.4988e+01 -1.5015e+01  3e-02  1e-16  1e-16\n",
      "25: -1.4989e+01 -1.4990e+01  5e-04  1e-16  1e-16\n",
      "26: -1.4989e+01 -1.4989e+01  5e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.1677e+02 -7.6576e+06  1e+03  1e+00  1e+00\n",
      " 2:  8.6606e+02 -1.7954e+07  3e+03  1e+00  1e+00\n",
      " 3:  9.7581e+02 -2.2041e+07  4e+03  1e+00  1e+00\n",
      " 4:  5.3356e+02 -4.6304e+07  9e+03  1e+00  1e+00\n",
      " 5:  1.0816e+03 -3.4393e+08  7e+04  1e+00  1e+00\n",
      " 6:  5.5060e+02 -1.1439e+10  2e+06  1e+00  1e+00\n",
      " 7:  5.4210e+02 -3.2545e+13  1e+10  1e+00  1e+00\n",
      " 8:  2.5510e+09 -3.1903e+20  3e+20  3e-13  3e-02\n",
      " 9:  2.5510e+09 -3.1903e+18  3e+18  3e-15  2e-02\n",
      "10:  2.5510e+09 -3.1903e+16  3e+16  2e-16  2e-04\n",
      "11:  2.5510e+09 -3.1914e+14  3e+14  2e-16  3e-06\n",
      "12:  2.5508e+09 -3.3003e+12  3e+12  1e-16  3e-08\n",
      "13:  2.5286e+09 -1.4087e+11  1e+11  1e-16  1e-09\n",
      "14:  6.0699e+08 -1.0485e+11  1e+11  2e-16  1e-09\n",
      "15:  3.9300e+08 -1.9127e+09  2e+09  2e-16  2e-11\n",
      "16:  6.5480e+07 -8.5566e+07  2e+08  1e-16  1e-12\n",
      "17:  9.3946e+06 -1.0272e+07  2e+07  3e-16  6e-13\n",
      "18:  1.3452e+06 -1.4951e+06  3e+06  4e-16  1e-13\n",
      "19:  1.9178e+05 -2.1451e+05  4e+05  3e-16  6e-14\n",
      "20:  2.7085e+04 -3.1122e+04  6e+04  2e-16  4e-14\n",
      "21:  3.7254e+03 -4.6123e+03  8e+03  2e-16  1e-14\n",
      "22:  4.7009e+02 -7.2230e+02  1e+03  1e-16  5e-15\n",
      "23:  3.8283e+01 -1.3026e+02  2e+02  2e-16  9e-16\n",
      "24: -1.1079e+01 -3.3035e+01  2e+01  2e-16  3e-16\n",
      "25: -1.4607e+01 -1.7110e+01  3e+00  2e-16  2e-16\n",
      "26: -1.4975e+01 -1.5593e+01  6e-01  1e-16  1e-16\n",
      "27: -1.5017e+01 -1.5054e+01  4e-02  2e-16  9e-17\n",
      "28: -1.5018e+01 -1.5019e+01  7e-04  3e-16  7e-17\n",
      "29: -1.5018e+01 -1.5018e+01  7e-06  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  2.1607e+02 -8.5049e+06  1e+03  1e+00  1e+00\n",
      " 2:  6.8403e+02 -1.7278e+07  3e+03  1e+00  1e+00\n",
      " 3:  1.0788e+03 -2.3131e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.2011e+03 -3.1997e+07  6e+03  1e+00  1e+00\n",
      " 5:  8.2890e+02 -7.8524e+07  2e+04  1e+00  1e+00\n",
      " 6:  8.6453e+02 -1.8598e+09  4e+05  1e+00  1e+00\n",
      " 7:  9.6371e+02 -1.9050e+12  5e+08  1e+00  1e+00\n",
      " 8:  1.9024e+09 -3.2042e+19  3e+19  4e-13  2e-03\n",
      " 9:  1.9024e+09 -3.2042e+17  3e+17  4e-15  2e-03\n",
      "10:  1.9024e+09 -3.2042e+15  3e+15  2e-16  3e-05\n",
      "11:  1.9023e+09 -3.2058e+13  3e+13  2e-16  4e-07\n",
      "12:  1.8955e+09 -3.3604e+11  3e+11  2e-16  5e-09\n",
      "13:  1.4229e+09 -1.4409e+10  2e+10  2e-16  2e-10\n",
      "14:  2.9445e+08 -5.5358e+08  8e+08  1e-16  6e-12\n",
      "15:  4.3110e+07 -4.7359e+07  9e+07  2e-16  9e-13\n",
      "16:  6.1911e+06 -6.9178e+06  1e+07  2e-16  3e-13\n",
      "17:  8.8578e+05 -9.8429e+05  2e+06  2e-16  2e-13\n",
      "18:  1.2613e+05 -1.4168e+05  3e+05  2e-16  5e-14\n",
      "19:  1.7749e+04 -2.0611e+04  4e+04  2e-16  2e-14\n",
      "20:  2.4150e+03 -3.0789e+03  5e+03  2e-16  9e-15\n",
      "21:  2.9266e+02 -4.9222e+02  8e+02  1e-16  2e-15\n",
      "22:  1.6671e+01 -9.3486e+01  1e+02  2e-16  1e-15\n",
      "23: -1.2941e+01 -2.6607e+01  1e+01  2e-16  3e-16\n",
      "24: -1.4632e+01 -1.7237e+01  3e+00  2e-16  9e-17\n",
      "25: -1.4954e+01 -1.5821e+01  9e-01  2e-16  1e-16\n",
      "26: -1.5041e+01 -1.5200e+01  2e-01  2e-16  1e-16\n",
      "27: -1.5044e+01 -1.5048e+01  4e-03  2e-16  6e-17\n",
      "28: -1.5044e+01 -1.5044e+01  4e-05  2e-16  9e-17\n",
      "29: -1.5044e+01 -1.5044e+01  4e-07  2e-16  9e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  SXQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  1.3414e+02 -1.5250e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2489e+01 -3.6797e+06  1e+03  1e+00  1e+00\n",
      " 3:  9.6922e+01 -1.3321e+08  3e+04  1e+00  1e+00\n",
      " 4:  4.8061e+01 -4.4413e+11  1e+08  1e+00  1e+00\n",
      " 5:  2.8067e+09 -3.8932e+18  4e+18  1e-13  1e-03\n",
      " 6:  2.8067e+09 -3.8932e+16  4e+16  1e-15  5e-04\n",
      " 7:  2.8067e+09 -3.8933e+14  4e+14  2e-16  3e-06\n",
      " 8:  2.8067e+09 -3.9008e+12  4e+12  1e-16  6e-08\n",
      " 9:  2.8054e+09 -4.6523e+10  5e+10  2e-16  2e-09\n",
      "10:  2.7136e+09 -7.8412e+09  1e+10  3e-17  4e-10\n",
      "11:  6.7527e+07 -1.4729e+10  1e+10  8e-17  3e-10\n",
      "12:  4.4609e+07 -3.4321e+08  4e+08  5e-17  7e-12\n",
      "13:  7.3642e+06 -1.2964e+07  2e+07  1e-16  3e-13\n",
      "14:  1.0610e+06 -1.1579e+06  2e+06  1e-16  5e-14\n",
      "15:  1.5155e+05 -1.7032e+05  3e+05  1e-16  6e-14\n",
      "16:  2.1438e+04 -2.4563e+04  5e+04  1e-16  1e-14\n",
      "17:  2.9589e+03 -3.6293e+03  7e+03  4e-17  9e-15\n",
      "18:  3.7725e+02 -5.6464e+02  9e+02  1e-16  1e-15\n",
      "19:  3.2479e+01 -1.0054e+02  1e+02  2e-16  1e-15\n",
      "20: -8.2098e+00 -2.5381e+01  2e+01  1e-16  3e-16\n",
      "21: -1.2445e+01 -1.4860e+01  2e+00  1e-16  2e-16\n",
      "22: -1.2733e+01 -1.2890e+01  2e-01  3e-16  2e-16\n",
      "23: -1.2736e+01 -1.2737e+01  2e-03  4e-16  4e-17\n",
      "24: -1.2736e+01 -1.2736e+01  2e-05  7e-17  7e-17\n",
      "25: -1.2736e+01 -1.2736e+01  2e-07  8e-17  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.9303e+02 -2.6491e+06  5e+02  1e+00  1e+00\n",
      " 2:  1.4043e+02 -3.3198e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.0373e+02 -1.8094e+07  4e+03  1e+00  1e+00\n",
      " 4:  2.3155e+02 -3.3301e+08  7e+04  1e+00  1e+00\n",
      " 5:  1.8766e+09 -8.1711e+15  8e+15  2e-13  1e-06\n",
      " 6:  1.8766e+09 -8.1718e+13  8e+13  2e-15  2e-06\n",
      " 7:  1.8761e+09 -8.2391e+11  8e+11  2e-16  3e-08\n",
      " 8:  1.8322e+09 -1.4829e+10  2e+10  2e-16  4e-10\n",
      " 9:  6.4183e+08 -1.4776e+09  2e+09  2e-16  3e-11\n",
      "10:  1.0169e+08 -1.3394e+08  2e+08  3e-16  3e-13\n",
      "11:  1.4859e+07 -1.6694e+07  3e+07  3e-16  4e-13\n",
      "12:  2.1348e+06 -2.3923e+06  5e+06  1e-16  4e-13\n",
      "13:  3.0510e+05 -3.4096e+05  6e+05  6e-17  1e-13\n",
      "14:  4.3270e+04 -4.9226e+04  9e+04  4e-16  2e-14\n",
      "15:  6.0181e+03 -7.2288e+03  1e+04  2e-16  2e-14\n",
      "16:  7.8864e+02 -1.1071e+03  2e+03  1e-16  2e-15\n",
      "17:  8.0589e+01 -1.8888e+02  3e+02  2e-16  2e-15\n",
      "18: -5.6802e+00 -4.2186e+01  4e+01  2e-16  6e-16\n",
      "19: -1.3352e+01 -1.6938e+01  4e+00  2e-16  3e-16\n",
      "20: -1.3796e+01 -1.4122e+01  3e-01  3e-16  3e-17\n",
      "21: -1.3809e+01 -1.3816e+01  7e-03  1e-16  1e-16\n",
      "22: -1.3809e+01 -1.3809e+01  7e-05  2e-16  1e-16\n",
      "23: -1.3809e+01 -1.3809e+01  7e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  2.1619e+02 -3.7184e+06  6e+02  1e+00  1e+00\n",
      " 2:  2.3864e+02 -5.1847e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.5724e+01 -1.4223e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.1192e+02 -4.7647e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.3921e+02 -5.3443e+08  1e+05  1e+00  1e+00\n",
      " 6:  1.5567e+02 -8.7877e+10  2e+07  1e+00  1e+00\n",
      " 7:  1.5859e+09 -2.0266e+18  2e+18  5e-13  6e-04\n",
      " 8:  1.5859e+09 -2.0266e+16  2e+16  5e-15  2e-04\n",
      " 9:  1.5859e+09 -2.0267e+14  2e+14  2e-16  2e-06\n",
      "10:  1.5858e+09 -2.0366e+12  2e+12  1e-16  3e-08\n",
      "11:  1.5752e+09 -3.0188e+10  3e+10  2e-16  6e-10\n",
      "12:  1.0099e+09 -6.1339e+09  7e+09  2e-16  6e-08\n",
      "13:  1.7300e+08 -7.3955e+08  9e+08  1e-16  4e-12\n",
      "14:  3.1409e+07 -4.3962e+07  8e+07  2e-16  5e-13\n",
      "15:  4.5244e+06 -4.9981e+06  1e+07  1e-16  2e-13\n",
      "16:  6.4817e+05 -7.2514e+05  1e+06  2e-16  1e-13\n",
      "17:  9.2292e+04 -1.0391e+05  2e+05  1e-16  2e-14\n",
      "18:  1.2975e+04 -1.5122e+04  3e+04  1e-16  2e-14\n",
      "19:  1.7592e+03 -2.2639e+03  4e+03  2e-16  6e-15\n",
      "20:  2.0986e+02 -3.6441e+02  6e+02  1e-16  4e-15\n",
      "21:  9.5024e+00 -7.0657e+01  8e+01  1e-16  9e-16\n",
      "22: -1.1904e+01 -2.1469e+01  1e+01  2e-16  3e-16\n",
      "23: -1.3639e+01 -1.5366e+01  2e+00  2e-16  8e-17\n",
      "24: -1.3966e+01 -1.4216e+01  2e-01  2e-16  5e-17\n",
      "25: -1.3992e+01 -1.4007e+01  1e-02  2e-16  4e-17\n",
      "26: -1.3993e+01 -1.3993e+01  2e-04  2e-16  1e-16\n",
      "27: -1.3993e+01 -1.3993e+01  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.0504e+02 -6.6639e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.5033e+02 -7.5223e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.6517e+02 -1.6263e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.0450e+01 -5.6108e+08  1e+05  1e+00  1e+00\n",
      " 5:  1.9851e+01 -1.1789e+10  2e+06  1e+00  1e+00\n",
      " 6:  2.5462e+01 -5.9673e+12  1e+09  1e+00  1e+00\n",
      " 7:  9.9975e+09 -1.1822e+20  1e+20  1e-13  2e-02\n",
      " 8:  9.9975e+09 -1.1822e+18  1e+18  1e-15  7e-03\n",
      " 9:  9.9975e+09 -1.1822e+16  1e+16  2e-16  1e-04\n",
      "10:  9.9975e+09 -1.1825e+14  1e+14  1e-16  2e-06\n",
      "11:  9.9949e+09 -1.2070e+12  1e+12  1e-16  2e-08\n",
      "12:  9.7524e+09 -3.6444e+10  5e+10  2e-16  8e-10\n",
      "13:  1.8092e+09 -1.9859e+10  2e+10  1e-16  3e-08\n",
      "14:  6.0739e+08 -9.8544e+08  2e+09  2e-16  2e-09\n",
      "15:  9.1705e+07 -1.0136e+08  2e+08  2e-16  6e-12\n",
      "16:  1.3207e+07 -1.4868e+07  3e+07  2e-16  3e-13\n",
      "17:  1.8929e+06 -2.1017e+06  4e+06  1e-16  3e-13\n",
      "18:  2.7024e+05 -3.0170e+05  6e+05  2e-16  8e-14\n",
      "19:  3.8277e+04 -4.3636e+04  8e+04  2e-16  3e-14\n",
      "20:  5.3081e+03 -6.4256e+03  1e+04  2e-16  4e-15\n",
      "21:  6.8910e+02 -9.8997e+02  2e+03  1e-16  4e-15\n",
      "22:  6.7080e+01 -1.7133e+02  2e+02  2e-16  9e-16\n",
      "23: -7.4416e+00 -3.9489e+01  3e+01  1e-16  7e-16\n",
      "24: -1.3645e+01 -1.6904e+01  3e+00  2e-16  1e-16\n",
      "25: -1.4076e+01 -1.4496e+01  4e-01  1e-16  2e-16\n",
      "26: -1.4088e+01 -1.4103e+01  1e-02  2e-16  1e-16\n",
      "27: -1.4088e+01 -1.4088e+01  2e-04  1e-16  1e-16\n",
      "28: -1.4088e+01 -1.4088e+01  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.5683e+02 -8.4495e+06  2e+03  1e+00  1e+00\n",
      " 2:  4.1938e+02 -1.1139e+07  2e+03  1e+00  1e+00\n",
      " 3:  1.4797e+02 -2.4396e+07  5e+03  1e+00  1e+00\n",
      " 4:  5.0970e+02 -1.0929e+08  2e+04  1e+00  1e+00\n",
      " 5:  4.0758e+01 -1.1980e+10  2e+06  1e+00  1e+00\n",
      " 6:  6.3975e+01 -1.0110e+13  2e+09  1e+00  1e+00\n",
      " 7:  7.9144e+09 -1.7269e+20  2e+20  3e-13  2e-02\n",
      " 8:  7.9144e+09 -1.7269e+18  2e+18  3e-15  1e-02\n",
      " 9:  7.9144e+09 -1.7269e+16  2e+16  2e-16  1e-04\n",
      "10:  7.9144e+09 -1.7274e+14  2e+14  2e-16  2e-06\n",
      "11:  7.9128e+09 -1.7733e+12  2e+12  3e-16  3e-08\n",
      "12:  7.7601e+09 -6.3303e+10  7e+10  2e-16  1e-09\n",
      "13:  1.6977e+09 -3.1925e+10  3e+10  1e-16  7e-08\n",
      "14:  6.3550e+08 -2.1615e+09  3e+09  2e-16  5e-09\n",
      "15:  1.0013e+08 -1.1950e+08  2e+08  1e-16  5e-11\n",
      "16:  1.4424e+07 -1.6208e+07  3e+07  2e-16  7e-13\n",
      "17:  2.0682e+06 -2.3011e+06  4e+06  1e-16  2e-13\n",
      "18:  2.9533e+05 -3.2974e+05  6e+05  2e-16  4e-14\n",
      "19:  4.1848e+04 -4.7668e+04  9e+04  2e-16  5e-14\n",
      "20:  5.8092e+03 -7.0132e+03  1e+04  2e-16  1e-14\n",
      "21:  7.5672e+02 -1.0783e+03  2e+03  2e-16  2e-15\n",
      "22:  7.5063e+01 -1.8565e+02  3e+02  2e-16  2e-15\n",
      "23: -7.0383e+00 -4.2240e+01  4e+01  3e-16  6e-16\n",
      "24: -1.3898e+01 -1.7266e+01  3e+00  2e-16  3e-16\n",
      "25: -1.4122e+01 -1.4627e+01  5e-01  1e-16  7e-17\n",
      "26: -1.4138e+01 -1.4154e+01  2e-02  2e-16  1e-16\n",
      "27: -1.4138e+01 -1.4138e+01  2e-04  1e-16  1e-16\n",
      "28: -1.4138e+01 -1.4138e+01  2e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  4.5778e+02 -9.8957e+06  2e+03  1e+00  1e+00\n",
      " 2:  5.9130e+02 -1.4021e+07  3e+03  1e+00  1e+00\n",
      " 3:  3.7465e+02 -2.1744e+07  4e+03  1e+00  1e+00\n",
      " 4:  6.4904e+02 -1.0645e+08  2e+04  1e+00  1e+00\n",
      " 5:  1.6188e+02 -4.3462e+09  9e+05  1e+00  1e+00\n",
      " 6:  3.6774e+02 -1.4675e+12  3e+08  1e+00  1e+00\n",
      " 7:  3.7196e+09 -3.1092e+19  3e+19  5e-13  6e-03\n",
      " 8:  3.7196e+09 -3.1092e+17  3e+17  5e-15  3e-03\n",
      " 9:  3.7196e+09 -3.1092e+15  3e+15  2e-16  4e-05\n",
      "10:  3.7196e+09 -3.1168e+13  3e+13  2e-16  5e-07\n",
      "11:  3.7158e+09 -3.8781e+11  4e+11  2e-16  6e-09\n",
      "12:  3.4829e+09 -7.3121e+10  8e+10  1e-16  1e-09\n",
      "13:  6.0570e+08 -7.3720e+10  7e+10  1e-16  9e-10\n",
      "14:  3.7819e+08 -2.2993e+09  3e+09  2e-16  4e-11\n",
      "15:  6.5701e+07 -1.0142e+08  2e+08  2e-16  2e-12\n",
      "16:  9.4369e+06 -1.0247e+07  2e+07  1e-16  5e-13\n",
      "17:  1.3524e+06 -1.5087e+06  3e+06  1e-16  1e-13\n",
      "18:  1.9288e+05 -2.1580e+05  4e+05  1e-16  6e-14\n",
      "19:  2.7255e+04 -3.1288e+04  6e+04  2e-16  2e-14\n",
      "20:  3.7536e+03 -4.6315e+03  8e+03  1e-16  1e-14\n",
      "21:  4.7580e+02 -7.2345e+02  1e+03  2e-16  5e-15\n",
      "22:  3.9970e+01 -1.2966e+02  2e+02  2e-16  2e-15\n",
      "23: -1.0221e+01 -3.2429e+01  2e+01  2e-16  7e-16\n",
      "24: -1.3926e+01 -1.5669e+01  2e+00  2e-16  7e-17\n",
      "25: -1.4168e+01 -1.4508e+01  3e-01  2e-16  1e-16\n",
      "26: -1.4203e+01 -1.4229e+01  3e-02  2e-16  1e-16\n",
      "27: -1.4204e+01 -1.4204e+01  5e-04  2e-16  7e-17\n",
      "28: -1.4204e+01 -1.4204e+01  5e-06  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  4.4110e+02 -1.1024e+07  2e+03  1e+00  1e+00\n",
      " 2:  6.1265e+02 -1.4315e+07  2e+03  1e+00  1e+00\n",
      " 3:  7.9487e+02 -1.8757e+07  3e+03  1e+00  1e+00\n",
      " 4:  8.6049e+02 -3.2914e+07  6e+03  1e+00  1e+00\n",
      " 5:  3.9361e+02 -1.1368e+08  2e+04  1e+00  1e+00\n",
      " 6:  5.7155e+02 -9.8385e+08  2e+05  1e+00  1e+00\n",
      " 7:  5.9986e+02 -4.4586e+11  1e+08  1e+00  1e+00\n",
      " 8:  2.5295e+09 -9.1777e+18  9e+18  5e-13  2e-03\n",
      " 9:  2.5295e+09 -9.1777e+16  9e+16  5e-15  8e-04\n",
      "10:  2.5295e+09 -9.1784e+14  9e+14  2e-16  1e-05\n",
      "11:  2.5293e+09 -9.2430e+12  9e+12  3e-16  1e-07\n",
      "12:  2.5062e+09 -1.5651e+11  2e+11  2e-16  3e-09\n",
      "13:  1.5122e+09 -2.3351e+10  2e+10  1e-16  2e-09\n",
      "14:  3.4831e+08 -1.2342e+09  2e+09  2e-16  3e-12\n",
      "15:  5.7808e+07 -7.7351e+07  1e+08  2e-16  1e-12\n",
      "16:  8.3067e+06 -9.1577e+06  2e+07  2e-16  3e-13\n",
      "17:  1.1900e+06 -1.3260e+06  3e+06  2e-16  1e-13\n",
      "18:  1.6965e+05 -1.9005e+05  4e+05  2e-16  6e-14\n",
      "19:  2.3950e+04 -2.7571e+04  5e+04  2e-16  3e-14\n",
      "20:  3.2889e+03 -4.0901e+03  7e+03  2e-16  7e-15\n",
      "21:  4.1260e+02 -6.4248e+02  1e+03  2e-16  3e-15\n",
      "22:  3.2192e+01 -1.1679e+02  1e+02  2e-16  1e-15\n",
      "23: -1.0891e+01 -3.0161e+01  2e+01  3e-16  4e-16\n",
      "24: -1.3875e+01 -1.6287e+01  2e+00  2e-16  7e-17\n",
      "25: -1.4245e+01 -1.4601e+01  4e-01  1e-16  7e-17\n",
      "26: -1.4265e+01 -1.4284e+01  2e-02  2e-16  8e-17\n",
      "27: -1.4265e+01 -1.4266e+01  3e-04  2e-16  9e-17\n",
      "28: -1.4265e+01 -1.4265e+01  3e-06  2e-16  9e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  5.2676e+02 -1.3624e+07  2e+03  1e+00  1e+00\n",
      " 2:  7.5889e+02 -1.7551e+07  3e+03  1e+00  1e+00\n",
      " 3:  9.2255e+02 -2.2002e+07  4e+03  1e+00  1e+00\n",
      " 4:  9.2734e+02 -3.7982e+07  7e+03  1e+00  1e+00\n",
      " 5:  3.3164e+02 -4.1034e+08  8e+04  1e+00  1e+00\n",
      " 6:  5.6550e+02 -3.8659e+09  8e+05  1e+00  1e+00\n",
      " 7:  6.0511e+02 -5.8473e+11  1e+08  1e+00  1e+00\n",
      " 8:  4.8863e+09 -1.3439e+19  1e+19  3e-13  7e-04\n",
      " 9:  4.8863e+09 -1.3439e+17  1e+17  3e-15  6e-04\n",
      "10:  4.8863e+09 -1.3440e+15  1e+15  8e-17  9e-06\n",
      "11:  4.8861e+09 -1.3520e+13  1e+13  3e-16  1e-07\n",
      "12:  4.8663e+09 -2.1468e+11  2e+11  2e-16  1e-09\n",
      "13:  4.3840e+09 -6.7491e+10  7e+10  2e-16  2e-09\n",
      "14:  1.7441e+09 -5.8711e+10  6e+10  2e-16  1e-09\n",
      "15:  6.8508e+08 -1.8900e+09  3e+09  3e-16  5e-11\n",
      "16:  1.0794e+08 -1.2566e+08  2e+08  1e-16  1e-12\n",
      "17:  1.5505e+07 -1.7218e+07  3e+07  2e-16  5e-13\n",
      "18:  2.2211e+06 -2.4629e+06  5e+06  1e-16  3e-13\n",
      "19:  3.1712e+05 -3.5343e+05  7e+05  1e-16  9e-14\n",
      "20:  4.4949e+04 -5.1107e+04  1e+05  1e-16  3e-14\n",
      "21:  6.2476e+03 -7.5130e+03  1e+04  3e-16  2e-14\n",
      "22:  8.1742e+02 -1.1521e+03  2e+03  2e-16  4e-15\n",
      "23:  8.3017e+01 -1.9697e+02  3e+02  2e-16  2e-15\n",
      "24: -6.1153e+00 -4.4080e+01  4e+01  2e-16  4e-16\n",
      "25: -1.3798e+01 -1.7515e+01  4e+00  2e-16  2e-16\n",
      "26: -1.4250e+01 -1.5959e+01  2e+00  3e-16  1e-16\n",
      "27: -1.4297e+01 -1.4499e+01  2e-01  2e-16  8e-17\n",
      "28: -1.4302e+01 -1.4306e+01  4e-03  2e-16  8e-17\n",
      "29: -1.4302e+01 -1.4302e+01  4e-05  2e-16  6e-17\n",
      "30: -1.4302e+01 -1.4302e+01  4e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  6.7092e+02 -1.7329e+07  3e+03  1e+00  1e+00\n",
      " 2:  9.5214e+02 -2.2675e+07  4e+03  1e+00  1e+00\n",
      " 3:  1.1119e+03 -2.9955e+07  6e+03  1e+00  1e+00\n",
      " 4:  1.2321e+03 -5.2895e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.0791e+02 -4.5943e+08  9e+04  1e+00  1e+00\n",
      " 6:  5.6911e+02 -5.4044e+09  1e+06  1e+00  1e+00\n",
      " 7:  8.2847e+02 -1.5052e+12  3e+08  1e+00  1e+00\n",
      " 8:  4.2804e+09 -3.2854e+19  3e+19  4e-13  2e-03\n",
      " 9:  4.2804e+09 -3.2854e+17  3e+17  4e-15  2e-03\n",
      "10:  4.2804e+09 -3.2855e+15  3e+15  2e-16  4e-05\n",
      "11:  4.2802e+09 -3.3038e+13  3e+13  2e-16  4e-07\n",
      "12:  4.2588e+09 -5.1160e+11  5e+11  1e-16  7e-09\n",
      "13:  3.1025e+09 -7.1406e+10  7e+10  2e-16  1e-09\n",
      "14:  9.9524e+08 -7.0427e+09  8e+09  1e-16  6e-12\n",
      "15:  1.8861e+08 -2.9708e+08  5e+08  2e-16  2e-12\n",
      "16:  2.7205e+07 -2.9405e+07  6e+07  2e-16  1e-12\n",
      "17:  3.9032e+06 -4.3512e+06  8e+06  2e-16  2e-13\n",
      "18:  5.5792e+05 -6.2034e+05  1e+06  2e-16  1e-13\n",
      "19:  7.9305e+04 -8.9478e+04  2e+05  2e-16  5e-14\n",
      "20:  1.1109e+04 -1.3069e+04  2e+04  2e-16  2e-14\n",
      "21:  1.4904e+03 -1.9717e+03  3e+03  2e-16  6e-15\n",
      "22:  1.7052e+02 -3.2332e+02  5e+02  2e-16  2e-15\n",
      "23:  3.1446e+00 -6.5404e+01  7e+01  2e-16  8e-16\n",
      "24: -1.3428e+01 -2.1310e+01  8e+00  2e-16  3e-16\n",
      "25: -1.4223e+01 -1.5489e+01  1e+00  1e-16  1e-16\n",
      "26: -1.4320e+01 -1.4447e+01  1e-01  2e-16  7e-17\n",
      "27: -1.4321e+01 -1.4323e+01  2e-03  3e-16  7e-17\n",
      "28: -1.4321e+01 -1.4321e+01  2e-05  2e-16  7e-17\n",
      "29: -1.4321e+01 -1.4321e+01  2e-07  1e-16  9e-17\n",
      "Optimal solution found.\n",
      "processing  SLQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  7.2440e+00 -1.2395e+05  2e+01  1e+00  1e+00\n",
      " 2:  6.0971e-01 -5.7042e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.2330e+00 -6.4743e+09  2e+06  1e+00  1e+00\n",
      " 4:  1.7688e+07 -1.0566e+17  1e+17  6e-13  1e-03\n",
      " 5:  1.7688e+07 -1.0566e+15  1e+15  6e-15  2e-04\n",
      " 6:  1.7688e+07 -1.0566e+13  1e+13  2e-16  4e-06\n",
      " 7:  1.7687e+07 -1.0571e+11  1e+11  2e-16  4e-08\n",
      " 8:  1.7598e+07 -1.1088e+09  1e+09  3e-16  2e-10\n",
      " 9:  1.1870e+07 -4.4966e+07  6e+07  2e-16  5e-12\n",
      "10:  1.8400e+06 -2.2660e+06  4e+06  3e-16  9e-14\n",
      "11:  2.6592e+05 -3.0154e+05  6e+05  2e-16  4e-13\n",
      "12:  3.8133e+04 -4.2662e+04  8e+04  3e-17  6e-14\n",
      "13:  5.4328e+03 -6.1218e+03  1e+04  1e-16  1e-13\n",
      "14:  7.6408e+02 -8.9050e+02  2e+03  3e-16  0e+00\n",
      "15:  1.0364e+02 -1.3329e+02  2e+02  2e-16  1e-14\n",
      "16:  1.2387e+01 -2.1444e+01  3e+01  4e-16  2e-15\n",
      "17:  5.8503e-01 -4.1464e+00  5e+00  7e-17  6e-16\n",
      "18: -6.6397e-01 -1.2387e+00  6e-01  3e-16  2e-16\n",
      "19: -7.3766e-01 -7.8512e-01  5e-02  1e-16  9e-17\n",
      "20: -7.3876e-01 -7.3927e-01  5e-04  1e-16  1e-16\n",
      "21: -7.3876e-01 -7.3876e-01  5e-06  3e-16  4e-17\n",
      "22: -7.3876e-01 -7.3876e-01  5e-08  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.0412e+01 -1.9232e+05  4e+01  1e+00  1e+00\n",
      " 2:  1.4076e+00 -1.6332e+06  3e+02  1e+00  1e+00\n",
      " 3:  3.1170e+00 -2.3696e+07  5e+03  1e+00  1e+00\n",
      " 4:  3.7531e+00 -1.0708e+10  2e+06  1e+00  1e+00\n",
      " 5:  7.1719e+07 -2.2291e+17  2e+17  7e-13  1e-03\n",
      " 6:  7.1719e+07 -2.2291e+15  2e+15  6e-15  2e-04\n",
      " 7:  7.1719e+07 -2.2291e+13  2e+13  8e-17  7e-06\n",
      " 8:  7.1717e+07 -2.2323e+11  2e+11  2e-16  1e-07\n",
      " 9:  7.1496e+07 -2.5458e+09  3e+09  3e-16  8e-10\n",
      "10:  5.5565e+07 -2.6608e+08  3e+08  2e-16  1e-10\n",
      "11:  8.3621e+06 -3.8625e+07  5e+07  9e-17  2e-11\n",
      "12:  1.5865e+06 -2.2389e+06  4e+06  3e-16  1e-12\n",
      "13:  2.2879e+05 -2.5331e+05  5e+05  9e-17  2e-13\n",
      "14:  3.2778e+04 -3.6730e+04  7e+04  2e-16  1e-13\n",
      "15:  4.6642e+03 -5.2652e+03  1e+04  2e-16  3e-14\n",
      "16:  6.5434e+02 -7.6771e+02  1e+03  2e-16  2e-14\n",
      "17:  8.8107e+01 -1.1550e+02  2e+02  2e-16  4e-15\n",
      "18:  1.0220e+01 -1.8827e+01  3e+01  1e-16  3e-15\n",
      "19:  2.7676e-01 -3.7614e+00  4e+00  8e-17  1e-15\n",
      "20: -7.3530e-01 -1.2068e+00  5e-01  1e-16  2e-16\n",
      "21: -7.9080e-01 -8.2696e-01  4e-02  3e-16  2e-16\n",
      "22: -7.9170e-01 -7.9208e-01  4e-04  2e-16  1e-16\n",
      "23: -7.9170e-01 -7.9170e-01  4e-06  3e-16  2e-16\n",
      "24: -7.9170e-01 -7.9170e-01  4e-08  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.5479e+01 -3.0128e+05  6e+01  1e+00  1e+00\n",
      " 2:  1.8918e+00 -2.0012e+06  4e+02  1e+00  1e+00\n",
      " 3:  2.6521e+00 -1.5042e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.5470e+00 -8.1591e+08  2e+05  1e+00  1e+00\n",
      " 5:  1.4099e+01 -9.8144e+12  7e+09  1e+00  1e+00\n",
      " 6:  1.1126e+08 -2.0168e+19  2e+19  1e-13  7e-02\n",
      " 7:  1.1126e+08 -2.0168e+17  2e+17  9e-16  1e-02\n",
      " 8:  1.1126e+08 -2.0168e+15  2e+15  1e-16  4e-04\n",
      " 9:  1.1126e+08 -2.0168e+13  2e+13  2e-16  6e-06\n",
      "10:  1.1125e+08 -2.0198e+11  2e+11  2e-16  6e-08\n",
      "11:  1.1025e+08 -2.3161e+09  2e+09  2e-16  9e-10\n",
      "12:  6.0901e+07 -1.7733e+08  2e+08  2e-16  2e-08\n",
      "13:  9.1187e+06 -1.3138e+07  2e+07  2e-16  3e-12\n",
      "14:  1.3309e+06 -1.4810e+06  3e+06  2e-16  1e-12\n",
      "15:  1.9124e+05 -2.1424e+05  4e+05  1e-16  3e-13\n",
      "16:  2.7355e+04 -3.0484e+04  6e+04  2e-16  7e-14\n",
      "17:  3.8885e+03 -4.3938e+03  8e+03  9e-17  2e-14\n",
      "18:  5.4432e+02 -6.4200e+02  1e+03  2e-16  8e-15\n",
      "19:  7.2813e+01 -9.7031e+01  2e+02  2e-16  6e-15\n",
      "20:  8.2090e+00 -1.5998e+01  2e+01  3e-16  3e-15\n",
      "21:  5.2529e-02 -3.2899e+00  3e+00  9e-17  9e-16\n",
      "22: -7.4457e-01 -1.2190e+00  5e-01  2e-16  3e-16\n",
      "23: -8.1483e-01 -8.6305e-01  5e-02  2e-16  1e-16\n",
      "24: -8.1741e-01 -8.1956e-01  2e-03  4e-17  2e-16\n",
      "25: -8.1743e-01 -8.1746e-01  2e-05  3e-16  4e-17\n",
      "26: -8.1743e-01 -8.1743e-01  2e-07  8e-17  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.0442e+01 -4.3433e+05  8e+01  1e+00  1e+00\n",
      " 2:  7.5915e-01 -4.2250e+06  9e+02  1e+00  1e+00\n",
      " 3:  9.3045e+00 -3.6596e+07  7e+03  1e+00  1e+00\n",
      " 4:  1.0475e+01 -4.3904e+09  9e+05  1e+00  1e+00\n",
      " 5:  1.3239e+08 -1.0378e+17  1e+17  8e-13  2e-04\n",
      " 6:  1.3239e+08 -1.0378e+15  1e+15  8e-15  2e-04\n",
      " 7:  1.3239e+08 -1.0379e+13  1e+13  2e-16  4e-06\n",
      " 8:  1.3239e+08 -1.0478e+11  1e+11  2e-16  4e-08\n",
      " 9:  1.3181e+08 -2.0268e+09  2e+09  3e-16  9e-10\n",
      "10:  9.5910e+07 -6.5467e+08  8e+08  2e-16  3e-10\n",
      "11:  1.6909e+07 -1.4728e+08  2e+08  2e-16  3e-12\n",
      "12:  3.6647e+06 -6.2074e+06  1e+07  1e-16  7e-13\n",
      "13:  5.3044e+05 -5.6804e+05  1e+06  1e-16  4e-13\n",
      "14:  7.6065e+04 -8.5187e+04  2e+05  2e-16  1e-13\n",
      "15:  1.0850e+04 -1.2145e+04  2e+04  1e-16  8e-14\n",
      "16:  1.5330e+03 -1.7609e+03  3e+03  7e-17  3e-14\n",
      "17:  2.1106e+02 -2.6069e+02  5e+02  2e-16  7e-15\n",
      "18:  2.6716e+01 -4.0749e+01  7e+01  2e-16  3e-15\n",
      "19:  2.2174e+00 -7.3202e+00  1e+01  2e-16  1e-15\n",
      "20: -6.0228e-01 -1.8460e+00  1e+00  3e-16  4e-16\n",
      "21: -8.1364e-01 -9.5908e-01  1e-01  3e-16  1e-16\n",
      "22: -8.3197e-01 -8.4575e-01  1e-02  2e-16  1e-16\n",
      "23: -8.3228e-01 -8.3273e-01  5e-04  3e-16  5e-17\n",
      "24: -8.3228e-01 -8.3228e-01  5e-06  1e-16  2e-16\n",
      "25: -8.3228e-01 -8.3228e-01  5e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.2320e+01 -5.2138e+05  9e+01  1e+00  1e+00\n",
      " 2:  2.9451e+01 -2.1799e+06  4e+02  1e+00  1e+00\n",
      " 3:  3.0120e+00 -1.1700e+08  2e+04  1e+00  1e+00\n",
      " 4:  1.0480e+01 -1.4818e+10  3e+06  1e+00  1e+00\n",
      " 5:  2.8418e+08 -3.4382e+17  3e+17  3e-13  6e-04\n",
      " 6:  2.8418e+08 -3.4382e+15  3e+15  3e-15  4e-04\n",
      " 7:  2.8418e+08 -3.4384e+13  3e+13  9e-17  7e-06\n",
      " 8:  2.8416e+08 -3.4566e+11  3e+11  1e-16  1e-07\n",
      " 9:  2.8278e+08 -5.2755e+09  6e+09  2e-16  2e-09\n",
      "10:  2.3752e+08 -1.6560e+09  2e+09  1e-16  9e-10\n",
      "11:  7.0980e+07 -1.7616e+09  2e+09  2e-16  5e-10\n",
      "12:  2.8647e+07 -9.8002e+07  1e+08  1e-16  3e-11\n",
      "13:  4.5560e+06 -5.4818e+06  1e+07  2e-16  9e-13\n",
      "14:  6.5601e+05 -7.3657e+05  1e+06  4e-16  8e-13\n",
      "15:  9.4042e+04 -1.0469e+05  2e+05  3e-16  2e-13\n",
      "16:  1.3422e+04 -1.5008e+04  3e+04  1e-16  5e-14\n",
      "17:  1.8992e+03 -2.1723e+03  4e+03  2e-16  1e-14\n",
      "18:  2.6259e+02 -3.2059e+02  6e+02  2e-16  6e-15\n",
      "19:  3.3738e+01 -4.9694e+01  8e+01  1e-16  3e-15\n",
      "20:  3.0880e+00 -8.7374e+00  1e+01  1e-16  2e-15\n",
      "21: -5.2476e-01 -2.0944e+00  2e+00  2e-16  7e-16\n",
      "22: -8.1509e-01 -9.5058e-01  1e-01  2e-16  1e-16\n",
      "23: -8.3175e-01 -8.5670e-01  2e-02  8e-17  1e-16\n",
      "24: -8.3525e-01 -8.3989e-01  5e-03  1e-16  6e-17\n",
      "25: -8.3602e-01 -8.3640e-01  4e-04  1e-16  1e-16\n",
      "26: -8.3609e-01 -8.3613e-01  4e-05  2e-16  1e-16\n",
      "27: -8.3610e-01 -8.3610e-01  2e-06  2e-16  8e-17\n",
      "28: -8.3610e-01 -8.3610e-01  3e-08  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.6314e+01 -6.5638e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.3496e+01 -1.6553e+06  3e+02  1e+00  1e+00\n",
      " 3:  1.2985e+01 -3.8071e+07  8e+03  1e+00  1e+00\n",
      " 4:  1.8828e+01 -1.7616e+09  4e+05  1e+00  1e+00\n",
      " 5:  4.7916e+01 -1.6542e+13  1e+10  1e+00  1e+00\n",
      " 6:  3.4989e+08 -4.7528e+19  5e+19  2e-13  1e-01\n",
      " 7:  3.4989e+08 -4.7528e+17  5e+17  2e-15  5e-02\n",
      " 8:  3.4989e+08 -4.7528e+15  5e+15  3e-16  6e-04\n",
      " 9:  3.4989e+08 -4.7530e+13  5e+13  1e-16  7e-06\n",
      "10:  3.4988e+08 -4.7767e+11  5e+11  2e-16  8e-08\n",
      "11:  3.4828e+08 -7.1345e+09  7e+09  1e-16  2e-09\n",
      "12:  2.6504e+08 -1.8633e+09  2e+09  2e-16  7e-09\n",
      "13:  6.0167e+07 -7.7324e+08  8e+08  1e-16  2e-10\n",
      "14:  1.5947e+07 -4.3787e+07  6e+07  2e-16  9e-12\n",
      "15:  2.4116e+06 -2.7502e+06  5e+06  2e-16  8e-13\n",
      "16:  3.4664e+05 -3.8821e+05  7e+05  2e-16  2e-13\n",
      "17:  4.9626e+04 -5.5214e+04  1e+05  3e-16  1e-13\n",
      "18:  7.0700e+03 -7.9372e+03  2e+04  1e-16  5e-14\n",
      "19:  9.9595e+02 -1.1535e+03  2e+03  1e-16  2e-14\n",
      "20:  1.3590e+02 -1.7193e+02  3e+02  2e-16  9e-15\n",
      "21:  1.6627e+01 -2.7349e+01  4e+01  2e-16  3e-15\n",
      "22:  1.0264e+00 -5.1457e+00  6e+00  2e-16  1e-15\n",
      "23: -6.9101e-01 -1.4565e+00  8e-01  2e-16  4e-16\n",
      "24: -8.1781e-01 -9.2043e-01  1e-01  2e-16  1e-16\n",
      "25: -8.3663e-01 -8.4795e-01  1e-02  2e-16  8e-17\n",
      "26: -8.3748e-01 -8.3812e-01  6e-04  2e-16  6e-17\n",
      "27: -8.3749e-01 -8.3750e-01  1e-05  2e-16  1e-16\n",
      "28: -8.3749e-01 -8.3749e-01  1e-07  1e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.9838e+01 -7.9698e+05  1e+02  1e+00  1e+00\n",
      " 2:  5.7943e+01 -1.7661e+06  3e+02  1e+00  1e+00\n",
      " 3:  2.0236e+01 -2.6441e+07  5e+03  1e+00  1e+00\n",
      " 4:  3.0043e+01 -9.4651e+08  2e+05  1e+00  1e+00\n",
      " 5:  2.3199e+01 -3.2283e+12  1e+09  1e+00  1e+00\n",
      " 6:  1.6550e+08 -2.7658e+19  3e+19  2e-13  4e-02\n",
      " 7:  1.6550e+08 -2.7658e+17  3e+17  2e-15  4e-02\n",
      " 8:  1.6550e+08 -2.7658e+15  3e+15  1e-16  5e-04\n",
      " 9:  1.6550e+08 -2.7660e+13  3e+13  2e-16  7e-06\n",
      "10:  1.6549e+08 -2.7858e+11  3e+11  2e-16  6e-08\n",
      "11:  1.6452e+08 -4.7589e+09  5e+09  2e-16  1e-09\n",
      "12:  1.2629e+08 -1.3825e+09  2e+09  2e-16  3e-10\n",
      "13:  3.8069e+07 -2.9390e+08  3e+08  4e-16  9e-12\n",
      "14:  7.7368e+06 -1.2341e+07  2e+07  2e-16  1e-12\n",
      "15:  1.1185e+06 -1.2056e+06  2e+06  2e-16  4e-13\n",
      "16:  1.6047e+05 -1.7917e+05  3e+05  2e-16  2e-13\n",
      "17:  2.2928e+04 -2.5534e+04  5e+04  1e-16  1e-13\n",
      "18:  3.2546e+03 -3.6874e+03  7e+03  1e-16  4e-14\n",
      "19:  4.5415e+02 -5.4025e+02  1e+03  2e-16  2e-14\n",
      "20:  6.0174e+01 -8.2179e+01  1e+02  2e-16  4e-15\n",
      "21:  6.4981e+00 -1.3770e+01  2e+01  8e-17  2e-15\n",
      "22: -1.6625e-01 -2.9436e+00  3e+00  2e-16  5e-16\n",
      "23: -7.9079e-01 -1.0838e+00  3e-01  1e-16  2e-16\n",
      "24: -8.3159e-01 -8.7293e-01  4e-02  2e-16  7e-17\n",
      "25: -8.3754e-01 -8.4331e-01  6e-03  2e-16  7e-17\n",
      "26: -8.3805e-01 -8.3846e-01  4e-04  1e-16  6e-17\n",
      "27: -8.3807e-01 -8.3808e-01  1e-05  2e-16  7e-17\n",
      "28: -8.3807e-01 -8.3807e-01  1e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  4.0850e+01 -1.0602e+06  2e+02  1e+00  1e+00\n",
      " 2:  7.0984e+01 -2.2538e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.8470e+01 -2.0224e+07  4e+03  1e+00  1e+00\n",
      " 4:  3.7151e+01 -4.5963e+08  9e+04  1e+00  1e+00\n",
      " 5:  3.0719e+01 -1.0800e+12  3e+08  1e+00  1e+00\n",
      " 6:  1.7335e+08 -1.2260e+19  1e+19  4e-13  1e-02\n",
      " 7:  1.7335e+08 -1.2260e+17  1e+17  4e-15  1e-02\n",
      " 8:  1.7335e+08 -1.2260e+15  1e+15  2e-16  1e-04\n",
      " 9:  1.7335e+08 -1.2262e+13  1e+13  2e-16  1e-06\n",
      "10:  1.7333e+08 -1.2491e+11  1e+11  2e-16  2e-08\n",
      "11:  1.7169e+08 -3.5234e+09  4e+09  2e-16  6e-10\n",
      "12:  1.1525e+08 -7.7398e+08  9e+08  1e-16  3e-10\n",
      "13:  2.3405e+07 -3.7312e+07  6e+07  2e-16  6e-12\n",
      "14:  3.4224e+06 -3.8038e+06  7e+06  2e-16  2e-12\n",
      "15:  4.9221e+05 -5.5213e+05  1e+06  2e-16  5e-13\n",
      "16:  7.0484e+04 -7.8324e+04  1e+05  1e-16  1e-13\n",
      "17:  1.0050e+04 -1.1252e+04  2e+04  2e-16  6e-14\n",
      "18:  1.4194e+03 -1.6317e+03  3e+03  2e-16  2e-14\n",
      "19:  1.9519e+02 -2.4182e+02  4e+02  2e-16  1e-14\n",
      "20:  2.4602e+01 -3.7888e+01  6e+01  3e-16  5e-15\n",
      "21:  1.9815e+00 -6.8459e+00  9e+00  2e-16  8e-16\n",
      "22: -6.0618e-01 -1.7504e+00  1e+00  2e-16  4e-16\n",
      "23: -7.9795e-01 -9.7237e-01  2e-01  1e-16  9e-17\n",
      "24: -8.3153e-01 -8.7179e-01  4e-02  1e-16  6e-17\n",
      "25: -8.3752e-01 -8.4244e-01  5e-03  2e-16  1e-16\n",
      "26: -8.3821e-01 -8.3864e-01  4e-04  2e-16  9e-17\n",
      "27: -8.3825e-01 -8.3827e-01  2e-05  2e-16  9e-17\n",
      "28: -8.3825e-01 -8.3825e-01  3e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  4.1384e+01 -1.1407e+06  2e+02  1e+00  1e+00\n",
      " 2:  8.1963e+01 -2.4047e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.1859e+01 -2.6036e+07  5e+03  1e+00  1e+00\n",
      " 4:  4.1987e+01 -4.8076e+08  1e+05  1e+00  1e+00\n",
      " 5:  4.0942e+01 -9.9339e+11  3e+08  1e+00  1e+00\n",
      " 6:  2.5812e+08 -1.2222e+19  1e+19  4e-13  2e-02\n",
      " 7:  2.5812e+08 -1.2222e+17  1e+17  5e-15  8e-03\n",
      " 8:  2.5812e+08 -1.2222e+15  1e+15  2e-16  1e-04\n",
      " 9:  2.5812e+08 -1.2225e+13  1e+13  2e-16  2e-06\n",
      "10:  2.5810e+08 -1.2470e+11  1e+11  2e-16  2e-08\n",
      "11:  2.5602e+08 -3.6774e+09  4e+09  2e-16  6e-10\n",
      "12:  9.0264e+07 -9.3882e+08  1e+09  2e-16  9e-10\n",
      "13:  2.3784e+07 -5.2896e+07  8e+07  2e-16  5e-11\n",
      "14:  3.5399e+06 -3.8730e+06  7e+06  1e-16  1e-12\n",
      "15:  5.0919e+05 -5.7232e+05  1e+06  1e-16  4e-13\n",
      "16:  7.2918e+04 -8.1007e+04  2e+05  3e-16  1e-13\n",
      "17:  1.0399e+04 -1.1639e+04  2e+04  1e-16  7e-14\n",
      "18:  1.4691e+03 -1.6873e+03  3e+03  2e-16  3e-14\n",
      "19:  2.0220e+02 -2.4990e+02  5e+02  2e-16  1e-14\n",
      "20:  2.5562e+01 -3.9088e+01  6e+01  2e-16  3e-15\n",
      "21:  2.1003e+00 -7.0354e+00  9e+00  1e-16  1e-15\n",
      "22: -5.9877e-01 -1.7857e+00  1e+00  2e-16  5e-16\n",
      "23: -8.0079e-01 -1.0186e+00  2e-01  2e-16  2e-16\n",
      "24: -8.3245e-01 -8.7591e-01  4e-02  2e-16  9e-17\n",
      "25: -8.3765e-01 -8.4366e-01  6e-03  2e-16  9e-17\n",
      "26: -8.3826e-01 -8.3874e-01  5e-04  2e-16  8e-17\n",
      "27: -8.3829e-01 -8.3831e-01  2e-05  2e-16  6e-17\n",
      "28: -8.3829e-01 -8.3829e-01  3e-07  1e-16  7e-17\n",
      "Optimal solution found.\n",
      "processing  SMQFAM_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  5.6985e+00 -1.0579e+05  2e+01  1e+00  1e+00\n",
      " 2:  1.7328e-01 -7.8820e+06  2e+03  1e+00  1e+00\n",
      " 3:  8.4157e-01 -1.1603e+10  3e+06  1e+00  1e+00\n",
      " 4:  4.5214e+07 -1.6738e+17  2e+17  5e-13  1e-03\n",
      " 5:  4.5214e+07 -1.6738e+15  2e+15  5e-15  2e-04\n",
      " 6:  4.5214e+07 -1.6738e+13  2e+13  9e-17  6e-06\n",
      " 7:  4.5213e+07 -1.6752e+11  2e+11  2e-16  3e-08\n",
      " 8:  4.5054e+07 -1.8089e+09  2e+09  1e-16  1e-09\n",
      " 9:  3.3786e+07 -1.1692e+08  2e+08  2e-16  8e-11\n",
      "10:  5.1320e+06 -1.1738e+07  2e+07  3e-16  9e-14\n",
      "11:  8.2115e+05 -9.3493e+05  2e+06  5e-17  7e-13\n",
      "12:  1.1819e+05 -1.3358e+05  3e+05  9e-17  4e-13\n",
      "13:  1.6894e+04 -1.8961e+04  4e+04  1e-16  7e-14\n",
      "14:  2.3916e+03 -2.7419e+03  5e+03  3e-17  2e-14\n",
      "15:  3.3055e+02 -4.0468e+02  7e+02  9e-17  6e-15\n",
      "16:  4.2377e+01 -6.2811e+01  1e+02  6e-17  3e-15\n",
      "17:  3.8234e+00 -1.1082e+01  1e+01  3e-16  2e-15\n",
      "18: -7.0335e-01 -2.6786e+00  2e+00  1e-17  6e-16\n",
      "19: -1.0543e+00 -1.2242e+00  2e-01  1e-16  2e-16\n",
      "20: -1.0635e+00 -1.0676e+00  4e-03  1e-16  6e-17\n",
      "21: -1.0637e+00 -1.0637e+00  7e-05  2e-16  8e-18\n",
      "22: -1.0637e+00 -1.0637e+00  7e-07  2e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  8.3358e+00 -1.6915e+05  3e+01  1e+00  1e+00\n",
      " 2:  1.2842e+00 -2.1105e+06  4e+02  1e+00  1e+00\n",
      " 3:  6.7799e+00 -7.3749e+08  2e+05  1e+00  1e+00\n",
      " 4:  7.1779e+06 -1.6085e+16  2e+16  3e-13  1e-04\n",
      " 5:  7.1779e+06 -1.6085e+14  2e+14  3e-15  4e-05\n",
      " 6:  7.1779e+06 -1.6085e+12  2e+12  1e-16  6e-07\n",
      " 7:  7.1757e+06 -1.6108e+10  2e+10  2e-16  6e-09\n",
      " 8:  6.9609e+06 -1.8303e+08  2e+08  2e-16  6e-11\n",
      " 9:  2.2563e+06 -6.1786e+06  8e+06  1e-16  2e-12\n",
      "10:  3.4470e+05 -3.9740e+05  7e+05  3e-16  8e-14\n",
      "11:  4.9401e+04 -5.5057e+04  1e+05  3e-16  1e-13\n",
      "12:  7.0467e+03 -7.9062e+03  1e+04  2e-16  2e-14\n",
      "13:  9.9459e+02 -1.1466e+03  2e+03  2e-16  1e-14\n",
      "14:  1.3627e+02 -1.7036e+02  3e+02  2e-16  9e-15\n",
      "15:  1.6793e+01 -2.6981e+01  4e+01  2e-16  2e-15\n",
      "16:  9.7899e-01 -5.1320e+00  6e+00  1e-16  1e-15\n",
      "17: -8.6579e-01 -1.6137e+00  7e-01  3e-16  2e-16\n",
      "18: -1.0514e+00 -1.1265e+00  8e-02  4e-16  1e-16\n",
      "19: -1.0689e+00 -1.0773e+00  8e-03  3e-16  6e-17\n",
      "20: -1.0696e+00 -1.0699e+00  3e-04  1e-16  8e-17\n",
      "21: -1.0696e+00 -1.0696e+00  3e-06  1e-16  1e-16\n",
      "22: -1.0696e+00 -1.0696e+00  3e-08  4e-17  2e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.3446e+01 -2.7764e+05  5e+01  1e+00  1e+00\n",
      " 2: -3.4984e-02 -1.9116e+06  4e+02  1e+00  1e+00\n",
      " 3:  3.7248e+00 -1.2907e+07  3e+03  1e+00  1e+00\n",
      " 4:  4.4777e+00 -6.0936e+08  1e+05  1e+00  1e+00\n",
      " 5:  3.2033e+00 -3.0554e+12  1e+09  1e+00  1e+00\n",
      " 6:  1.1003e+08 -1.8349e+19  2e+19  2e-13  3e-02\n",
      " 7:  1.1003e+08 -1.8349e+17  2e+17  2e-15  3e-02\n",
      " 8:  1.1003e+08 -1.8349e+15  2e+15  1e-16  5e-04\n",
      " 9:  1.1003e+08 -1.8349e+13  2e+13  2e-16  4e-06\n",
      "10:  1.1002e+08 -1.8411e+11  2e+11  2e-16  7e-08\n",
      "11:  1.0965e+08 -2.4571e+09  3e+09  1e-16  9e-10\n",
      "12:  8.5129e+07 -4.9516e+08  6e+08  6e-17  3e-08\n",
      "13:  1.2450e+07 -1.2913e+08  1e+08  2e-16  1e-11\n",
      "14:  3.0215e+06 -5.3151e+06  8e+06  2e-16  2e-12\n",
      "15:  4.4008e+05 -4.7114e+05  9e+05  2e-16  4e-13\n",
      "16:  6.3127e+04 -7.0816e+04  1e+05  2e-16  2e-13\n",
      "17:  9.0048e+03 -1.0084e+04  2e+04  6e-17  6e-14\n",
      "18:  1.2722e+03 -1.4621e+03  3e+03  1e-16  2e-14\n",
      "19:  1.7502e+02 -2.1654e+02  4e+02  3e-16  3e-15\n",
      "20:  2.2038e+01 -3.3916e+01  6e+01  2e-16  2e-15\n",
      "21:  1.6993e+00 -6.1653e+00  8e+00  3e-16  2e-15\n",
      "22: -7.1167e-01 -1.6864e+00  1e+00  2e-16  3e-16\n",
      "23: -1.0354e+00 -1.2256e+00  2e-01  2e-16  1e-16\n",
      "24: -1.0711e+00 -1.0905e+00  2e-02  1e-16  2e-16\n",
      "25: -1.0736e+00 -1.0752e+00  2e-03  3e-16  1e-16\n",
      "26: -1.0736e+00 -1.0737e+00  4e-05  3e-16  1e-16\n",
      "27: -1.0736e+00 -1.0736e+00  4e-07  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.6966e+01 -3.6571e+05  7e+01  1e+00  1e+00\n",
      " 2:  1.1344e+00 -2.7449e+06  6e+02  1e+00  1e+00\n",
      " 3:  2.7830e+00 -2.0962e+07  4e+03  1e+00  1e+00\n",
      " 4:  3.9735e+00 -8.4382e+08  2e+05  1e+00  1e+00\n",
      " 5:  3.3225e+00 -2.6684e+12  9e+08  1e+00  1e+00\n",
      " 6:  1.3684e+08 -2.4269e+19  2e+19  2e-13  6e-02\n",
      " 7:  1.3684e+08 -2.4269e+17  2e+17  2e-15  2e-02\n",
      " 8:  1.3684e+08 -2.4269e+15  2e+15  3e-16  4e-04\n",
      " 9:  1.3684e+08 -2.4270e+13  2e+13  3e-16  8e-06\n",
      "10:  1.3683e+08 -2.4353e+11  2e+11  1e-16  7e-08\n",
      "11:  1.3611e+08 -3.2585e+09  3e+09  2e-16  1e-09\n",
      "12:  9.7183e+07 -6.1065e+08  7e+08  1e-16  8e-08\n",
      "13:  1.9140e+07 -1.0275e+08  1e+08  8e-17  7e-12\n",
      "14:  3.8227e+06 -5.6245e+06  9e+06  2e-16  1e-12\n",
      "15:  5.5310e+05 -6.0566e+05  1e+06  3e-16  2e-13\n",
      "16:  7.9350e+04 -8.8671e+04  2e+05  2e-16  2e-13\n",
      "17:  1.1331e+04 -1.2654e+04  2e+04  2e-16  7e-14\n",
      "18:  1.6052e+03 -1.8299e+03  3e+03  3e-16  2e-14\n",
      "19:  2.2261e+02 -2.6935e+02  5e+02  2e-16  6e-15\n",
      "20:  2.8822e+01 -4.1521e+01  7e+01  2e-16  3e-15\n",
      "21:  2.6731e+00 -7.2565e+00  1e+01  2e-16  1e-15\n",
      "22: -5.1822e-01 -1.9364e+00  1e+00  6e-17  5e-16\n",
      "23: -1.0111e+00 -1.3284e+00  3e-01  2e-16  2e-16\n",
      "24: -1.0695e+00 -1.1027e+00  3e-02  1e-16  2e-16\n",
      "25: -1.0742e+00 -1.0767e+00  2e-03  2e-16  1e-16\n",
      "26: -1.0743e+00 -1.0744e+00  5e-05  3e-16  4e-17\n",
      "27: -1.0743e+00 -1.0743e+00  5e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.7501e+01 -4.1559e+05  8e+01  1e+00  1e+00\n",
      " 2:  2.0578e+00 -3.3970e+06  7e+02  1e+00  1e+00\n",
      " 3:  6.6086e+00 -2.6102e+07  5e+03  1e+00  1e+00\n",
      " 4:  1.0342e+01 -2.0066e+09  4e+05  1e+00  1e+00\n",
      " 5:  1.0693e+08 -4.8327e+16  5e+16  5e-13  1e-04\n",
      " 6:  1.0693e+08 -4.8327e+14  5e+14  5e-15  1e-04\n",
      " 7:  1.0693e+08 -4.8337e+12  5e+12  3e-16  1e-06\n",
      " 8:  1.0690e+08 -4.9263e+10  5e+10  3e-16  1e-08\n",
      " 9:  1.0427e+08 -1.3966e+09  2e+09  2e-16  3e-10\n",
      "10:  2.9068e+07 -1.8384e+08  2e+08  2e-16  2e-11\n",
      "11:  6.4107e+06 -1.1482e+07  2e+07  2e-16  2e-12\n",
      "12:  9.3429e+05 -1.0228e+06  2e+06  2e-16  3e-13\n",
      "13:  1.3431e+05 -1.5071e+05  3e+05  2e-16  2e-13\n",
      "14:  1.9218e+04 -2.1382e+04  4e+04  2e-16  4e-14\n",
      "15:  2.7356e+03 -3.0776e+03  6e+03  2e-16  5e-14\n",
      "16:  3.8436e+02 -4.4816e+02  8e+02  2e-16  1e-14\n",
      "17:  5.1885e+01 -6.7236e+01  1e+02  1e-16  2e-15\n",
      "18:  5.9210e+00 -1.0985e+01  2e+01  3e-16  9e-16\n",
      "19: -1.4048e-01 -2.4058e+00  2e+00  3e-16  6e-16\n",
      "20: -9.6054e-01 -1.3554e+00  4e-01  1e-16  3e-16\n",
      "21: -1.0645e+00 -1.1098e+00  5e-02  1e-16  7e-17\n",
      "22: -1.0740e+00 -1.0793e+00  5e-03  2e-16  7e-17\n",
      "23: -1.0747e+00 -1.0753e+00  6e-04  2e-16  4e-17\n",
      "24: -1.0747e+00 -1.0747e+00  2e-05  2e-16  2e-17\n",
      "25: -1.0747e+00 -1.0747e+00  2e-07  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.2337e+01 -5.4161e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.1074e+00 -4.2567e+06  9e+02  1e+00  1e+00\n",
      " 3:  9.6468e+00 -3.2735e+07  7e+03  1e+00  1e+00\n",
      " 4:  1.1549e+01 -2.2296e+09  5e+05  1e+00  1e+00\n",
      " 5:  1.2745e+08 -5.3883e+16  5e+16  6e-13  2e-04\n",
      " 6:  1.2745e+08 -5.3883e+14  5e+14  6e-15  4e-05\n",
      " 7:  1.2745e+08 -5.3894e+12  5e+12  2e-16  1e-06\n",
      " 8:  1.2741e+08 -5.4968e+10  6e+10  2e-16  1e-08\n",
      " 9:  1.2391e+08 -1.5986e+09  2e+09  2e-16  5e-10\n",
      "10:  3.9707e+07 -2.1500e+08  3e+08  1e-16  2e-10\n",
      "11:  8.6427e+06 -1.4581e+07  2e+07  2e-16  7e-12\n",
      "12:  1.2610e+06 -1.3902e+06  3e+06  1e-16  8e-13\n",
      "13:  1.8129e+05 -2.0338e+05  4e+05  2e-16  2e-13\n",
      "14:  2.5947e+04 -2.8861e+04  5e+04  3e-16  9e-14\n",
      "15:  3.6951e+03 -4.1519e+03  8e+03  1e-16  3e-14\n",
      "16:  5.1993e+02 -6.0387e+02  1e+03  2e-16  2e-14\n",
      "17:  7.0594e+01 -9.0272e+01  2e+02  2e-16  6e-15\n",
      "18:  8.3526e+00 -1.4550e+01  2e+01  1e-16  2e-15\n",
      "19:  1.7317e-01 -2.9533e+00  3e+00  2e-16  4e-16\n",
      "20: -9.1339e-01 -1.5039e+00  6e-01  1e-16  4e-16\n",
      "21: -1.0611e+00 -1.1288e+00  7e-02  2e-16  2e-16\n",
      "22: -1.0745e+00 -1.0812e+00  7e-03  2e-16  1e-16\n",
      "23: -1.0751e+00 -1.0755e+00  4e-04  2e-16  2e-16\n",
      "24: -1.0751e+00 -1.0751e+00  7e-06  2e-16  2e-16\n",
      "25: -1.0751e+00 -1.0751e+00  7e-08  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.0646e+01 -5.6013e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.7993e+01 -1.8988e+06  4e+02  1e+00  1e+00\n",
      " 3:  1.7370e+01 -4.3482e+07  9e+03  1e+00  1e+00\n",
      " 4:  1.4472e+01 -2.3456e+10  5e+06  1e+00  1e+00\n",
      " 5:  7.5085e+07 -4.7183e+17  5e+17  2e-13  7e-04\n",
      " 6:  7.5085e+07 -4.7183e+15  5e+15  2e-15  8e-04\n",
      " 7:  7.5085e+07 -4.7183e+13  5e+13  2e-16  1e-05\n",
      " 8:  7.5080e+07 -4.7218e+11  5e+11  1e-16  2e-07\n",
      " 9:  7.4586e+07 -5.0619e+09  5e+09  1e-16  2e-09\n",
      "10:  4.6771e+07 -2.3577e+08  3e+08  2e-16  9e-11\n",
      "11:  8.2106e+06 -1.1974e+07  2e+07  2e-16  3e-12\n",
      "12:  1.1838e+06 -1.3119e+06  2e+06  1e-16  7e-13\n",
      "13:  1.6993e+05 -1.8951e+05  4e+05  2e-16  3e-13\n",
      "14:  2.4297e+04 -2.7048e+04  5e+04  2e-16  2e-13\n",
      "15:  3.4534e+03 -3.9001e+03  7e+03  2e-16  3e-14\n",
      "16:  4.8342e+02 -5.6994e+02  1e+03  2e-16  1e-14\n",
      "17:  6.4600e+01 -8.6174e+01  2e+02  2e-16  8e-15\n",
      "18:  7.1445e+00 -1.4295e+01  2e+01  2e-16  2e-15\n",
      "19: -1.7123e-01 -3.0833e+00  3e+00  2e-16  7e-16\n",
      "20: -9.7493e-01 -1.2890e+00  3e-01  2e-16  3e-16\n",
      "21: -1.0669e+00 -1.1092e+00  4e-02  1e-16  1e-16\n",
      "22: -1.0743e+00 -1.0816e+00  7e-03  1e-16  4e-17\n",
      "23: -1.0751e+00 -1.0759e+00  8e-04  1e-16  1e-16\n",
      "24: -1.0752e+00 -1.0752e+00  4e-05  8e-17  1e-16\n",
      "25: -1.0752e+00 -1.0752e+00  5e-07  2e-16  4e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.2286e+01 -6.4901e+05  1e+02  1e+00  1e+00\n",
      " 2:  2.8926e+01 -1.6319e+06  3e+02  1e+00  1e+00\n",
      " 3:  6.9491e+00 -3.9457e+07  8e+03  1e+00  1e+00\n",
      " 4:  1.1024e+01 -1.5302e+09  3e+05  1e+00  1e+00\n",
      " 5:  1.1652e+01 -4.7787e+12  2e+09  1e+00  1e+00\n",
      " 6:  2.0768e+08 -4.3618e+19  4e+19  2e-13  8e-02\n",
      " 7:  2.0768e+08 -4.3618e+17  4e+17  2e-15  5e-02\n",
      " 8:  2.0768e+08 -4.3618e+15  4e+15  2e-16  7e-04\n",
      " 9:  2.0768e+08 -4.3620e+13  4e+13  2e-16  8e-06\n",
      "10:  2.0767e+08 -4.3854e+11  4e+11  2e-16  5e-08\n",
      "11:  2.0699e+08 -6.7159e+09  7e+09  1e-16  9e-10\n",
      "12:  1.7990e+08 -2.0709e+09  2e+09  2e-16  3e-10\n",
      "13:  7.6245e+07 -1.5090e+09  2e+09  5e-16  1e-10\n",
      "14:  2.5511e+07 -7.7941e+07  1e+08  1e-16  6e-12\n",
      "15:  4.0529e+06 -4.8787e+06  9e+06  3e-16  2e-12\n",
      "16:  5.8267e+05 -6.4797e+05  1e+06  2e-16  4e-13\n",
      "17:  8.3520e+04 -9.2695e+04  2e+05  2e-16  2e-13\n",
      "18:  1.1932e+04 -1.3285e+04  3e+04  2e-16  7e-14\n",
      "19:  1.6933e+03 -1.9188e+03  4e+03  2e-16  4e-14\n",
      "20:  2.3598e+02 -2.8139e+02  5e+02  2e-16  2e-14\n",
      "21:  3.0952e+01 -4.3016e+01  7e+01  2e-16  4e-15\n",
      "22:  2.9821e+00 -7.4508e+00  1e+01  2e-16  2e-15\n",
      "23: -5.8099e-01 -1.9395e+00  1e+00  2e-16  3e-16\n",
      "24: -1.0129e+00 -1.2153e+00  2e-01  2e-16  2e-16\n",
      "25: -1.0705e+00 -1.0963e+00  3e-02  9e-17  7e-17\n",
      "26: -1.0750e+00 -1.0773e+00  2e-03  2e-16  1e-16\n",
      "27: -1.0752e+00 -1.0754e+00  2e-04  2e-16  8e-17\n",
      "28: -1.0753e+00 -1.0753e+00  6e-06  2e-16  6e-17\n",
      "29: -1.0753e+00 -1.0753e+00  6e-08  2e-16  6e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  2.9120e+01 -8.1097e+05  1e+02  1e+00  1e+00\n",
      " 2:  3.4112e+01 -1.8669e+06  4e+02  1e+00  1e+00\n",
      " 3:  3.7073e-01 -4.3523e+07  9e+03  1e+00  1e+00\n",
      " 4:  2.8082e+00 -8.9930e+08  2e+05  1e+00  1e+00\n",
      " 5:  9.4487e+00 -6.0732e+11  1e+08  1e+00  1e+00\n",
      " 6:  3.6630e+08 -1.1537e+19  1e+19  2e-13  2e-02\n",
      " 7:  3.6630e+08 -1.1537e+17  1e+17  2e-15  1e-02\n",
      " 8:  3.6630e+08 -1.1537e+15  1e+15  2e-16  2e-04\n",
      " 9:  3.6629e+08 -1.1540e+13  1e+13  2e-16  2e-06\n",
      "10:  3.6618e+08 -1.1835e+11  1e+11  2e-16  3e-08\n",
      "11:  3.5570e+08 -4.1024e+09  4e+09  2e-16  1e-09\n",
      "12:  1.4178e+08 -1.4046e+09  2e+09  1e-16  2e-08\n",
      "13:  3.9946e+07 -6.7967e+07  1e+08  2e-16  7e-10\n",
      "14:  6.1207e+06 -6.8383e+06  1e+07  2e-16  8e-12\n",
      "15:  8.8061e+05 -9.8391e+05  2e+06  2e-16  8e-13\n",
      "16:  1.2624e+05 -1.3978e+05  3e+05  2e-16  2e-13\n",
      "17:  1.8051e+04 -2.0039e+04  4e+04  2e-16  8e-14\n",
      "18:  2.5683e+03 -2.8876e+03  5e+03  1e-16  4e-14\n",
      "19:  3.6063e+02 -4.2092e+02  8e+02  2e-16  9e-15\n",
      "20:  4.8567e+01 -6.3263e+01  1e+02  1e-16  3e-15\n",
      "21:  5.4512e+00 -1.0412e+01  2e+01  2e-16  2e-15\n",
      "22: -2.1392e-01 -2.3375e+00  2e+00  2e-16  7e-16\n",
      "23: -9.6786e-01 -1.3196e+00  4e-01  2e-16  2e-16\n",
      "24: -1.0651e+00 -1.1075e+00  4e-02  2e-16  1e-16\n",
      "25: -1.0745e+00 -1.0794e+00  5e-03  2e-16  6e-17\n",
      "26: -1.0752e+00 -1.0757e+00  5e-04  2e-16  2e-16\n",
      "27: -1.0753e+00 -1.0753e+00  3e-05  2e-16  1e-16\n",
      "28: -1.0753e+00 -1.0753e+00  9e-07  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "processing  SMQRTU_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  9.3656e+01 -9.9035e+05  2e+02  1e+00  1e+00\n",
      " 2: -1.2199e+00 -2.6603e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.6548e+01 -4.0946e+07  8e+03  1e+00  1e+00\n",
      " 4:  5.0994e+01 -2.1804e+09  4e+05  1e+00  1e+00\n",
      " 5:  8.1493e+07 -5.2849e+16  5e+16  2e-13  5e-05\n",
      " 6:  8.1493e+07 -5.2849e+14  5e+14  2e-15  3e-06\n",
      " 7:  8.1492e+07 -5.2851e+12  5e+12  2e-16  8e-08\n",
      " 8:  8.1429e+07 -5.3095e+10  5e+10  7e-17  1e-09\n",
      " 9:  7.5605e+07 -7.5726e+08  8e+08  2e-16  2e-11\n",
      "10:  1.6892e+07 -3.6474e+07  5e+07  3e-16  2e-12\n",
      "11:  2.4575e+06 -2.7308e+06  5e+06  9e-17  1e-13\n",
      "12:  3.5191e+05 -3.9630e+05  7e+05  1e-16  3e-14\n",
      "13:  4.9984e+04 -5.6793e+04  1e+05  2e-16  7e-15\n",
      "14:  6.9730e+03 -8.3168e+03  2e+04  2e-16  3e-14\n",
      "15:  9.2246e+02 -1.2659e+03  2e+03  1e-16  7e-15\n",
      "16:  9.8955e+01 -2.1262e+02  3e+02  2e-16  8e-16\n",
      "17: -2.8696e+00 -4.5590e+01  4e+01  2e-16  1e-15\n",
      "18: -1.2110e+01 -1.6638e+01  5e+00  2e-16  1e-16\n",
      "19: -1.2416e+01 -1.2989e+01  6e-01  1e-16  9e-17\n",
      "20: -1.2429e+01 -1.2439e+01  1e-02  2e-16  2e-17\n",
      "21: -1.2429e+01 -1.2429e+01  1e-04  2e-16  7e-17\n",
      "22: -1.2429e+01 -1.2429e+01  1e-06  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.3068e+02 -1.8085e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2689e+02 -2.5310e+06  5e+02  1e+00  1e+00\n",
      " 3: -2.6766e+00 -9.0483e+07  2e+04  1e+00  1e+00\n",
      " 4:  5.0424e+01 -3.1414e+09  6e+05  1e+00  1e+00\n",
      " 5:  3.5600e+01 -9.0840e+12  3e+09  1e+00  1e+00\n",
      " 6:  1.2311e+09 -8.6858e+19  9e+19  4e-13  3e-02\n",
      " 7:  1.2311e+09 -8.6858e+17  9e+17  4e-15  2e-02\n",
      " 8:  1.2311e+09 -8.6858e+15  9e+15  2e-16  4e-04\n",
      " 9:  1.2311e+09 -8.6863e+13  9e+13  3e-16  4e-06\n",
      "10:  1.2310e+09 -8.7380e+11  9e+11  3e-16  6e-08\n",
      "11:  1.2286e+09 -1.3899e+10  2e+10  1e-16  1e-09\n",
      "12:  1.0323e+09 -4.3589e+09  5e+09  3e-16  1e-09\n",
      "13:  5.5472e+07 -3.1195e+09  3e+09  1e-15  9e-11\n",
      "14:  1.6723e+07 -7.5923e+07  9e+07  2e-16  2e-12\n",
      "15:  2.5228e+06 -3.2217e+06  6e+06  6e-17  2e-13\n",
      "16:  3.5987e+05 -3.9719e+05  8e+05  9e-17  1e-13\n",
      "17:  5.1113e+04 -5.8012e+04  1e+05  3e-16  1e-14\n",
      "18:  7.1340e+03 -8.4846e+03  2e+04  2e-16  2e-14\n",
      "19:  9.4593e+02 -1.2901e+03  2e+03  3e-16  6e-15\n",
      "20:  1.0261e+02 -2.1585e+02  3e+02  2e-16  8e-16\n",
      "21: -2.1226e+00 -4.5865e+01  4e+01  2e-16  6e-16\n",
      "22: -1.1827e+01 -1.6500e+01  5e+00  3e-16  3e-16\n",
      "23: -1.2334e+01 -1.2765e+01  4e-01  3e-16  1e-16\n",
      "24: -1.2447e+01 -1.2502e+01  6e-02  2e-16  1e-16\n",
      "25: -1.2456e+01 -1.2461e+01  5e-03  2e-16  1e-16\n",
      "26: -1.2456e+01 -1.2456e+01  7e-05  2e-16  3e-17\n",
      "27: -1.2456e+01 -1.2456e+01  7e-07  1e-16  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.5777e+02 -2.6112e+06  5e+02  1e+00  1e+00\n",
      " 2:  1.9216e+02 -3.6329e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.9590e+00 -1.6488e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.0637e+01 -6.6863e+07  1e+04  1e+00  1e+00\n",
      " 5:  4.9029e+01 -9.2335e+08  2e+05  1e+00  1e+00\n",
      " 6:  9.4760e+01 -2.5525e+11  5e+07  1e+00  1e+00\n",
      " 7:  1.2229e+09 -5.6406e+18  6e+18  5e-13  2e-03\n",
      " 8:  1.2229e+09 -5.6406e+16  6e+16  5e-15  7e-04\n",
      " 9:  1.2229e+09 -5.6407e+14  6e+14  2e-16  2e-05\n",
      "10:  1.2229e+09 -5.6479e+12  6e+12  1e-16  2e-07\n",
      "11:  1.2214e+09 -6.3716e+10  6e+10  1e-16  2e-09\n",
      "12:  1.1059e+09 -7.2592e+09  8e+09  1e-16  7e-09\n",
      "13:  9.4958e+07 -4.2163e+09  4e+09  3e-16  8e-10\n",
      "14:  2.8228e+07 -1.2058e+08  1e+08  1e-16  2e-11\n",
      "15:  4.2946e+06 -5.3958e+06  1e+07  6e-17  5e-13\n",
      "16:  6.1358e+05 -6.7708e+05  1e+06  1e-16  1e-13\n",
      "17:  8.7357e+04 -9.8478e+04  2e+05  1e-16  1e-14\n",
      "18:  1.2275e+04 -1.4324e+04  3e+04  1e-16  9e-15\n",
      "19:  1.6621e+03 -2.1471e+03  4e+03  1e-16  6e-15\n",
      "20:  1.9754e+02 -3.4636e+02  5e+02  1e-16  1e-15\n",
      "21:  8.7295e+00 -6.7304e+01  8e+01  8e-17  7e-16\n",
      "22: -1.1025e+01 -2.0188e+01  9e+00  3e-16  2e-16\n",
      "23: -1.2234e+01 -1.2996e+01  8e-01  2e-16  1e-16\n",
      "24: -1.2425e+01 -1.2566e+01  1e-01  1e-16  9e-17\n",
      "25: -1.2458e+01 -1.2476e+01  2e-02  2e-16  5e-17\n",
      "26: -1.2460e+01 -1.2461e+01  1e-03  1e-16  4e-17\n",
      "27: -1.2460e+01 -1.2460e+01  3e-05  3e-16  9e-17\n",
      "28: -1.2460e+01 -1.2460e+01  3e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.1543e+02 -3.9148e+06  7e+02  1e+00  1e+00\n",
      " 2:  2.7028e+02 -5.2167e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.7887e+02 -1.2102e+07  2e+03  1e+00  1e+00\n",
      " 4:  3.4292e+02 -1.4448e+08  3e+04  1e+00  1e+00\n",
      " 5:  2.9863e+01 -8.7583e+10  2e+07  1e+00  1e+00\n",
      " 6:  3.8405e+09 -1.7153e+18  2e+18  5e-13  3e-04\n",
      " 7:  3.8405e+09 -1.7153e+16  2e+16  5e-15  2e-04\n",
      " 8:  3.8404e+09 -1.7154e+14  2e+14  2e-16  3e-06\n",
      " 9:  3.8401e+09 -1.7336e+12  2e+12  2e-16  3e-08\n",
      "10:  3.8049e+09 -3.5458e+10  4e+10  2e-16  8e-10\n",
      "11:  2.7626e+09 -1.2800e+10  2e+10  7e-17  2e-10\n",
      "12:  5.8460e+08 -8.3556e+09  9e+09  2e-16  4e-11\n",
      "13:  1.7145e+08 -5.0466e+08  7e+08  1e-16  4e-12\n",
      "14:  2.6284e+07 -3.0587e+07  6e+07  8e-17  7e-13\n",
      "15:  3.7790e+06 -4.2372e+06  8e+06  1e-16  3e-13\n",
      "16:  5.4094e+05 -6.0300e+05  1e+06  3e-16  5e-14\n",
      "17:  7.6993e+04 -8.6718e+04  2e+05  1e-16  4e-14\n",
      "18:  1.0816e+04 -1.2630e+04  2e+04  2e-16  2e-14\n",
      "19:  1.4635e+03 -1.8938e+03  3e+03  2e-16  9e-15\n",
      "20:  1.7327e+02 -3.0594e+02  5e+02  3e-16  4e-15\n",
      "21:  7.0670e+00 -5.9772e+01  7e+01  2e-16  6e-16\n",
      "22: -1.0448e+01 -1.8344e+01  8e+00  2e-16  3e-16\n",
      "23: -1.1933e+01 -1.3665e+01  2e+00  2e-16  6e-17\n",
      "24: -1.2409e+01 -1.2690e+01  3e-01  2e-16  2e-16\n",
      "25: -1.2456e+01 -1.2490e+01  3e-02  3e-16  1e-16\n",
      "26: -1.2462e+01 -1.2466e+01  4e-03  6e-17  1e-16\n",
      "27: -1.2463e+01 -1.2463e+01  3e-04  3e-16  4e-17\n",
      "28: -1.2463e+01 -1.2463e+01  5e-06  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.4157e+02 -4.9583e+06  8e+02  1e+00  1e+00\n",
      " 2:  3.2200e+02 -6.7051e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.6561e+02 -1.2731e+07  2e+03  1e+00  1e+00\n",
      " 4: -1.4249e+00 -1.5905e+08  3e+04  1e+00  1e+00\n",
      " 5:  2.7598e+01 -2.2464e+09  5e+05  1e+00  1e+00\n",
      " 6:  9.8969e+01 -5.2406e+11  1e+08  1e+00  1e+00\n",
      " 7:  3.3718e+09 -1.1722e+19  1e+19  6e-13  1e-03\n",
      " 8:  3.3718e+09 -1.1722e+17  1e+17  6e-15  1e-03\n",
      " 9:  3.3718e+09 -1.1722e+15  1e+15  2e-16  2e-05\n",
      "10:  3.3717e+09 -1.1747e+13  1e+13  2e-16  1e-07\n",
      "11:  3.3623e+09 -1.4199e+11  1e+11  2e-16  2e-09\n",
      "12:  2.7733e+09 -2.2817e+10  3e+10  1e-16  1e-09\n",
      "13:  6.8167e+08 -1.7699e+10  2e+10  1e-16  5e-10\n",
      "14:  2.4393e+08 -1.2994e+09  2e+09  2e-16  4e-11\n",
      "15:  4.0145e+07 -5.5331e+07  1e+08  3e-16  9e-13\n",
      "16:  5.7743e+06 -6.3854e+06  1e+07  1e-16  3e-13\n",
      "17:  8.2752e+05 -9.2345e+05  2e+06  3e-16  1e-13\n",
      "18:  1.1799e+05 -1.3225e+05  3e+05  2e-16  7e-14\n",
      "19:  1.6656e+04 -1.9183e+04  4e+04  3e-16  2e-14\n",
      "20:  2.2864e+03 -2.8462e+03  5e+03  1e-16  3e-15\n",
      "21:  2.8628e+02 -4.4742e+02  7e+02  2e-16  5e-15\n",
      "22:  2.1888e+01 -8.1573e+01  1e+02  2e-16  9e-16\n",
      "23: -8.1821e+00 -2.1378e+01  1e+01  2e-16  3e-16\n",
      "24: -1.1200e+01 -1.5648e+01  4e+00  2e-16  2e-16\n",
      "25: -1.2345e+01 -1.3318e+01  1e+00  2e-16  2e-16\n",
      "26: -1.2457e+01 -1.2532e+01  8e-02  2e-16  1e-16\n",
      "27: -1.2464e+01 -1.2470e+01  6e-03  1e-16  1e-16\n",
      "28: -1.2465e+01 -1.2465e+01  2e-04  1e-16  8e-17\n",
      "29: -1.2465e+01 -1.2465e+01  2e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  2.7292e+02 -6.2127e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.0849e+02 -8.7607e+06  2e+03  1e+00  1e+00\n",
      " 3:  4.6945e+02 -1.3794e+07  3e+03  1e+00  1e+00\n",
      " 4:  6.9146e+01 -9.0497e+07  2e+04  1e+00  1e+00\n",
      " 5:  2.0298e+02 -6.9685e+08  1e+05  1e+00  1e+00\n",
      " 6:  3.1349e+02 -8.2920e+10  2e+07  1e+00  1e+00\n",
      " 7:  1.5898e+09 -1.9479e+18  2e+18  5e-13  3e-04\n",
      " 8:  1.5898e+09 -1.9479e+16  2e+16  5e-15  3e-04\n",
      " 9:  1.5897e+09 -1.9483e+14  2e+14  1e-16  4e-06\n",
      "10:  1.5895e+09 -1.9869e+12  2e+12  3e-16  4e-08\n",
      "11:  1.5644e+09 -5.7853e+10  6e+10  1e-16  1e-09\n",
      "12:  4.8693e+08 -1.0136e+10  1e+10  2e-16  4e-08\n",
      "13:  1.4232e+08 -3.2149e+08  5e+08  2e-16  1e-09\n",
      "14:  2.1744e+07 -2.4382e+07  5e+07  3e-16  2e-11\n",
      "15:  3.1198e+06 -3.4698e+06  7e+06  2e-16  4e-13\n",
      "16:  4.4606e+05 -4.9632e+05  9e+05  2e-16  9e-14\n",
      "17:  6.3409e+04 -7.1547e+04  1e+05  3e-16  3e-14\n",
      "18:  8.8832e+03 -1.0449e+04  2e+04  2e-16  2e-14\n",
      "19:  1.1921e+03 -1.5762e+03  3e+03  3e-16  6e-15\n",
      "20:  1.3645e+02 -2.5838e+02  4e+02  1e-16  2e-15\n",
      "21:  2.4640e+00 -5.2282e+01  5e+01  1e-16  1e-15\n",
      "22: -1.1008e+01 -1.7205e+01  6e+00  2e-16  4e-16\n",
      "23: -1.2156e+01 -1.3394e+01  1e+00  1e-16  1e-16\n",
      "24: -1.2447e+01 -1.2617e+01  2e-01  3e-16  1e-16\n",
      "25: -1.2465e+01 -1.2479e+01  1e-02  2e-16  9e-17\n",
      "26: -1.2467e+01 -1.2468e+01  9e-04  1e-16  1e-16\n",
      "27: -1.2467e+01 -1.2467e+01  3e-05  3e-16  1e-16\n",
      "28: -1.2467e+01 -1.2467e+01  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  3.2401e+02 -7.7674e+06  1e+03  1e+00  1e+00\n",
      " 2:  4.4796e+02 -1.0200e+07  2e+03  1e+00  1e+00\n",
      " 3:  5.5701e+02 -1.4894e+07  3e+03  1e+00  1e+00\n",
      " 4:  3.1165e+02 -4.6655e+07  9e+03  1e+00  1e+00\n",
      " 5:  4.3701e+02 -4.7762e+08  1e+05  1e+00  1e+00\n",
      " 6:  7.9640e+01 -5.4120e+11  1e+08  1e+00  1e+00\n",
      " 7:  5.9715e+09 -8.8225e+18  9e+18  5e-13  1e-03\n",
      " 8:  5.9715e+09 -8.8225e+16  9e+16  5e-15  9e-04\n",
      " 9:  5.9715e+09 -8.8243e+14  9e+14  2e-16  1e-05\n",
      "10:  5.9712e+09 -9.0066e+12  9e+12  2e-16  1e-07\n",
      "11:  5.9392e+09 -2.7146e+11  3e+11  2e-16  4e-09\n",
      "12:  2.4114e+09 -1.8131e+11  2e+11  2e-16  2e-09\n",
      "13:  1.8263e+09 -1.5261e+10  2e+10  2e-16  2e-10\n",
      "14:  4.2119e+08 -1.0502e+09  1e+09  2e-16  6e-12\n",
      "15:  6.9110e+07 -8.4286e+07  2e+08  2e-16  2e-12\n",
      "16:  9.9470e+06 -1.1081e+07  2e+07  3e-16  4e-13\n",
      "17:  1.4255e+06 -1.5858e+06  3e+06  2e-16  3e-13\n",
      "18:  2.0346e+05 -2.2729e+05  4e+05  2e-16  7e-14\n",
      "19:  2.8801e+04 -3.2892e+04  6e+04  1e-16  3e-14\n",
      "20:  3.9873e+03 -4.8497e+03  9e+03  3e-16  9e-15\n",
      "21:  5.1464e+02 -7.4975e+02  1e+03  1e-16  6e-15\n",
      "22:  4.8393e+01 -1.3093e+02  2e+02  2e-16  1e-15\n",
      "23: -7.0230e+00 -3.0903e+01  2e+01  2e-16  6e-16\n",
      "24: -1.1754e+01 -1.4014e+01  2e+00  2e-16  2e-16\n",
      "25: -1.2396e+01 -1.2780e+01  4e-01  2e-16  1e-16\n",
      "26: -1.2452e+01 -1.2527e+01  7e-02  1e-16  1e-16\n",
      "27: -1.2466e+01 -1.2486e+01  2e-02  2e-16  9e-17\n",
      "28: -1.2467e+01 -1.2468e+01  9e-04  2e-16  1e-16\n",
      "29: -1.2467e+01 -1.2467e+01  2e-05  2e-16  1e-16\n",
      "30: -1.2467e+01 -1.2467e+01  2e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  3.2476e+02 -8.7684e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.7115e+02 -9.6279e+06  2e+03  1e+00  1e+00\n",
      " 3:  5.6044e+02 -1.3211e+07  2e+03  1e+00  1e+00\n",
      " 4:  7.4354e+02 -2.1363e+07  4e+03  1e+00  1e+00\n",
      " 5:  5.1901e+02 -6.8735e+07  1e+04  1e+00  1e+00\n",
      " 6:  3.8102e+02 -5.1665e+09  1e+06  1e+00  1e+00\n",
      " 7:  6.4709e+02 -3.7481e+12  9e+08  1e+00  1e+00\n",
      " 8:  8.7252e+08 -6.8143e+19  7e+19  5e-13  1e-02\n",
      " 9:  8.7252e+08 -6.8143e+17  7e+17  5e-15  6e-03\n",
      "10:  8.7252e+08 -6.8144e+15  7e+15  1e-16  1e-04\n",
      "11:  8.7251e+08 -6.8194e+13  7e+13  3e-16  8e-07\n",
      "12:  8.7116e+08 -7.3196e+11  7e+11  1e-16  1e-08\n",
      "13:  7.6078e+08 -4.9667e+10  5e+10  2e-16  9e-10\n",
      "14:  2.3830e+08 -3.2341e+09  3e+09  2e-16  3e-10\n",
      "15:  4.8448e+07 -1.0572e+08  2e+08  3e-16  6e-12\n",
      "16:  7.1085e+06 -7.7374e+06  1e+07  2e-16  6e-13\n",
      "17:  1.0184e+06 -1.1347e+06  2e+06  2e-16  2e-13\n",
      "18:  1.4524e+05 -1.6244e+05  3e+05  2e-16  1e-13\n",
      "19:  2.0523e+04 -2.3553e+04  4e+04  2e-16  3e-14\n",
      "20:  2.8270e+03 -3.4861e+03  6e+03  1e-16  1e-14\n",
      "21:  3.5848e+02 -5.4438e+02  9e+02  3e-16  3e-15\n",
      "22:  3.0108e+01 -9.7536e+01  1e+02  2e-16  7e-16\n",
      "23: -7.8891e+00 -2.4490e+01  2e+01  2e-16  5e-16\n",
      "24: -1.0901e+01 -1.5584e+01  5e+00  2e-16  2e-16\n",
      "25: -1.2304e+01 -1.3696e+01  1e+00  1e-16  9e-17\n",
      "26: -1.2457e+01 -1.2570e+01  1e-01  1e-16  9e-17\n",
      "27: -1.2467e+01 -1.2477e+01  1e-02  2e-16  1e-16\n",
      "28: -1.2468e+01 -1.2469e+01  5e-04  2e-16  1e-16\n",
      "29: -1.2468e+01 -1.2468e+01  1e-05  1e-16  1e-16\n",
      "30: -1.2468e+01 -1.2468e+01  1e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  3.6301e+02 -1.0358e+07  2e+03  1e+00  1e+00\n",
      " 2:  4.4868e+02 -1.1866e+07  2e+03  1e+00  1e+00\n",
      " 3:  6.6422e+02 -1.5855e+07  3e+03  1e+00  1e+00\n",
      " 4:  9.1257e+02 -2.6888e+07  5e+03  1e+00  1e+00\n",
      " 5:  4.8573e+02 -1.0555e+08  2e+04  1e+00  1e+00\n",
      " 6:  5.0501e+02 -2.7128e+08  5e+04  1e+00  1e+00\n",
      " 7:  5.2821e+02 -2.2095e+09  4e+05  1e+00  1e+00\n",
      " 8:  5.4503e+02 -2.1469e+11  4e+07  1e+00  1e+00\n",
      " 9:  3.3632e+09 -5.0810e+18  5e+18  7e-13  5e-04\n",
      "10:  3.3632e+09 -5.0810e+16  5e+16  7e-15  3e-04\n",
      "11:  3.3632e+09 -5.0819e+14  5e+14  2e-16  5e-06\n",
      "12:  3.3629e+09 -5.1639e+12  5e+12  2e-16  6e-08\n",
      "13:  3.3294e+09 -1.3321e+11  1e+11  2e-16  3e-07\n",
      "14:  2.5094e+09 -2.6268e+10  3e+10  1e-16  2e-08\n",
      "15:  6.8929e+08 -1.5277e+09  2e+09  1e-16  1e-09\n",
      "16:  1.0472e+08 -1.1502e+08  2e+08  1e-16  7e-12\n",
      "17:  1.5070e+07 -1.6924e+07  3e+07  2e-16  8e-13\n",
      "18:  2.1597e+06 -2.3947e+06  5e+06  2e-16  2e-13\n",
      "19:  3.0853e+05 -3.4355e+05  7e+05  2e-16  9e-14\n",
      "20:  4.3793e+04 -4.9603e+04  9e+04  2e-16  2e-14\n",
      "21:  6.1104e+03 -7.2690e+03  1e+04  2e-16  1e-14\n",
      "22:  8.0957e+02 -1.1058e+03  2e+03  2e-16  4e-15\n",
      "23:  8.7430e+01 -1.8528e+02  3e+02  1e-16  1e-15\n",
      "24: -2.2381e+00 -3.9576e+01  4e+01  2e-16  7e-16\n",
      "25: -1.0666e+01 -1.5834e+01  5e+00  2e-16  2e-16\n",
      "26: -1.2276e+01 -1.3992e+01  2e+00  1e-16  7e-17\n",
      "27: -1.2452e+01 -1.2596e+01  1e-01  9e-17  9e-17\n",
      "28: -1.2467e+01 -1.2486e+01  2e-02  2e-16  9e-17\n",
      "29: -1.2469e+01 -1.2471e+01  2e-03  2e-16  1e-16\n",
      "30: -1.2469e+01 -1.2469e+01  5e-05  2e-16  1e-16\n",
      "31: -1.2469e+01 -1.2469e+01  5e-07  1e-16  7e-17\n",
      "Optimal solution found.\n",
      "processing  SMQSHS_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  2.9619e+01 -3.5783e+05  7e+01  1e+00  1e+00\n",
      " 2:  1.5860e+00 -2.1050e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.0759e+01 -2.0994e+08  4e+04  1e+00  1e+00\n",
      " 4:  1.9393e+07 -5.0515e+15  5e+15  1e-13  6e-06\n",
      " 5:  1.9393e+07 -5.0515e+13  5e+13  1e-15  5e-06\n",
      " 6:  1.9392e+07 -5.0520e+11  5e+11  3e-16  2e-08\n",
      " 7:  1.9342e+07 -5.0945e+09  5e+09  1e-16  4e-10\n",
      " 8:  1.5385e+07 -8.3809e+07  1e+08  1e-16  5e-12\n",
      " 9:  2.7596e+06 -3.7286e+06  6e+06  9e-17  1e-13\n",
      "10:  3.9658e+05 -4.3502e+05  8e+05  2e-17  4e-13\n",
      "11:  5.6670e+04 -6.3604e+04  1e+05  7e-17  6e-14\n",
      "12:  8.0247e+03 -9.1700e+03  2e+04  6e-17  3e-14\n",
      "13:  1.1112e+03 -1.3517e+03  2e+03  1e-16  0e+00\n",
      "14:  1.4347e+02 -2.0890e+02  4e+02  5e-17  4e-15\n",
      "15:  1.3532e+01 -3.6462e+01  5e+01  1e-16  8e-16\n",
      "16: -1.8879e+00 -8.5757e+00  7e+00  2e-16  2e-16\n",
      "17: -3.1117e+00 -3.7177e+00  6e-01  1e-16  2e-16\n",
      "18: -3.1380e+00 -3.1510e+00  1e-02  2e-16  3e-17\n",
      "19: -3.1380e+00 -3.1381e+00  1e-04  2e-16  1e-16\n",
      "20: -3.1380e+00 -3.1380e+00  1e-06  1e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  3.7716e+01 -5.5376e+05  1e+02  1e+00  1e+00\n",
      " 2:  1.5206e+01 -1.6518e+06  3e+02  1e+00  1e+00\n",
      " 3:  4.4191e+01 -1.1621e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.2610e+01 -9.9338e+09  2e+06  1e+00  1e+00\n",
      " 5:  6.9995e+08 -1.7993e+17  2e+17  7e-13  2e-04\n",
      " 6:  6.9995e+08 -1.7993e+15  2e+15  7e-15  2e-04\n",
      " 7:  6.9995e+08 -1.7996e+13  2e+13  2e-16  2e-06\n",
      " 8:  6.9993e+08 -1.8255e+11  2e+11  1e-16  2e-08\n",
      " 9:  6.9799e+08 -4.4116e+09  5e+09  1e-16  6e-10\n",
      "10:  3.3019e+08 -1.1448e+09  1e+09  1e-16  6e-12\n",
      "11:  6.0820e+07 -1.6904e+08  2e+08  3e-16  1e-12\n",
      "12:  1.0993e+07 -1.3068e+07  2e+07  3e-16  2e-12\n",
      "13:  1.5889e+06 -1.7935e+06  3e+06  8e-17  5e-13\n",
      "14:  2.2780e+05 -2.5436e+05  5e+05  1e-16  2e-13\n",
      "15:  3.2474e+04 -3.6485e+04  7e+04  1e-16  5e-14\n",
      "16:  4.5778e+03 -5.2966e+03  1e+04  3e-16  1e-14\n",
      "17:  6.2576e+02 -7.8835e+02  1e+03  2e-16  1e-14\n",
      "18:  7.7148e+01 -1.2496e+02  2e+02  3e-16  1e-15\n",
      "19:  5.2017e+00 -2.3245e+01  3e+01  8e-17  2e-15\n",
      "20: -2.7367e+00 -6.3373e+00  4e+00  1e-16  3e-16\n",
      "21: -3.2477e+00 -3.4855e+00  2e-01  2e-16  2e-16\n",
      "22: -3.2595e+00 -3.2667e+00  7e-03  2e-16  9e-17\n",
      "23: -3.2596e+00 -3.2596e+00  7e-05  2e-16  7e-17\n",
      "24: -3.2596e+00 -3.2596e+00  7e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  5.5731e+01 -9.1851e+05  2e+02  1e+00  1e+00\n",
      " 2:  4.3533e+01 -1.6579e+06  3e+02  1e+00  1e+00\n",
      " 3:  4.4370e+01 -3.6607e+07  7e+03  1e+00  1e+00\n",
      " 4:  4.8288e+01 -9.7459e+09  2e+06  1e+00  1e+00\n",
      " 5:  1.0793e+08 -2.1680e+17  2e+17  2e-13  1e-04\n",
      " 6:  1.0793e+08 -2.1680e+15  2e+15  2e-15  4e-05\n",
      " 7:  1.0793e+08 -2.1681e+13  2e+13  2e-16  1e-06\n",
      " 8:  1.0791e+08 -2.1718e+11  2e+11  2e-16  1e-08\n",
      " 9:  1.0551e+08 -2.5396e+09  3e+09  2e-16  7e-11\n",
      "10:  3.9225e+07 -1.4011e+08  2e+08  3e-16  4e-12\n",
      "11:  6.0575e+06 -7.6031e+06  1e+07  2e-16  4e-13\n",
      "12:  8.7035e+05 -9.7088e+05  2e+06  2e-16  2e-13\n",
      "13:  1.2468e+05 -1.3895e+05  3e+05  2e-16  8e-14\n",
      "14:  1.7768e+04 -1.9945e+04  4e+04  2e-16  7e-14\n",
      "15:  2.5031e+03 -2.8980e+03  5e+03  2e-16  2e-14\n",
      "16:  3.4124e+02 -4.3204e+02  8e+02  2e-16  4e-15\n",
      "17:  4.1359e+01 -6.8936e+01  1e+02  3e-16  3e-15\n",
      "18:  2.0264e+00 -1.3281e+01  2e+01  3e-16  5e-16\n",
      "19: -2.4451e+00 -5.3106e+00  3e+00  1e-16  2e-16\n",
      "20: -3.2430e+00 -3.6938e+00  5e-01  2e-16  2e-16\n",
      "21: -3.3068e+00 -3.3410e+00  3e-02  2e-16  6e-17\n",
      "22: -3.3081e+00 -3.3087e+00  6e-04  2e-16  2e-16\n",
      "23: -3.3081e+00 -3.3081e+00  6e-06  2e-16  5e-17\n",
      "24: -3.3081e+00 -3.3081e+00  6e-08  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  5.9683e+01 -1.1707e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.3354e+01 -2.0207e+06  4e+02  1e+00  1e+00\n",
      " 3:  2.7621e+00 -9.9313e+06  2e+03  1e+00  1e+00\n",
      " 4:  7.7427e+00 -4.1783e+07  8e+03  1e+00  1e+00\n",
      " 5:  1.4610e+01 -5.7938e+08  1e+05  1e+00  1e+00\n",
      " 6:  2.0184e+01 -1.2228e+11  3e+07  1e+00  1e+00\n",
      " 7:  1.0715e+09 -2.7827e+18  3e+18  7e-13  2e-03\n",
      " 8:  1.0715e+09 -2.7827e+16  3e+16  7e-15  2e-03\n",
      " 9:  1.0715e+09 -2.7828e+14  3e+14  2e-16  2e-05\n",
      "10:  1.0715e+09 -2.7877e+12  3e+12  2e-16  2e-07\n",
      "11:  1.0693e+09 -3.2767e+10  3e+10  1e-16  3e-09\n",
      "12:  9.1769e+08 -4.7128e+09  6e+09  2e-16  2e-07\n",
      "13:  1.3582e+08 -2.9154e+09  3e+09  2e-16  2e-08\n",
      "14:  4.1854e+07 -1.6074e+08  2e+08  2e-16  1e-09\n",
      "15:  6.5078e+06 -8.0894e+06  1e+07  1e-16  2e-11\n",
      "16:  9.3427e+05 -1.0386e+06  2e+06  3e-16  2e-13\n",
      "17:  1.3372e+05 -1.4913e+05  3e+05  9e-17  2e-13\n",
      "18:  1.9026e+04 -2.1441e+04  4e+04  2e-16  8e-14\n",
      "19:  2.6704e+03 -3.1255e+03  6e+03  3e-16  8e-15\n",
      "20:  3.6028e+02 -4.6958e+02  8e+02  3e-16  8e-15\n",
      "21:  4.2103e+01 -7.6280e+01  1e+02  1e-16  2e-15\n",
      "22:  1.2997e+00 -1.5147e+01  2e+01  3e-16  1e-15\n",
      "23: -2.9770e+00 -4.8828e+00  2e+00  3e-16  3e-16\n",
      "24: -3.3176e+00 -3.5782e+00  3e-01  2e-16  2e-16\n",
      "25: -3.3474e+00 -3.3654e+00  2e-02  9e-17  1e-16\n",
      "26: -3.3479e+00 -3.3482e+00  3e-04  2e-16  1e-16\n",
      "27: -3.3479e+00 -3.3479e+00  3e-06  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.3622e+01 -1.6813e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2317e+02 -2.7612e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.9108e+00 -1.3404e+07  3e+03  1e+00  1e+00\n",
      " 4:  2.1455e+01 -5.9714e+07  1e+04  1e+00  1e+00\n",
      " 5:  4.1862e+01 -1.1193e+09  2e+05  1e+00  1e+00\n",
      " 6:  5.6788e+01 -6.5510e+11  1e+08  1e+00  1e+00\n",
      " 7:  6.8138e+08 -1.2931e+19  1e+19  6e-13  7e-03\n",
      " 8:  6.8138e+08 -1.2931e+17  1e+17  6e-15  7e-03\n",
      " 9:  6.8138e+08 -1.2931e+15  1e+15  2e-16  9e-05\n",
      "10:  6.8138e+08 -1.2936e+13  1e+13  1e-16  1e-06\n",
      "11:  6.8104e+08 -1.3497e+11  1e+11  2e-16  1e-08\n",
      "12:  6.5044e+08 -6.7520e+09  7e+09  2e-16  5e-09\n",
      "13:  1.2785e+08 -2.1982e+09  2e+09  1e-16  1e-10\n",
      "14:  3.2696e+07 -7.2955e+07  1e+08  2e-16  5e-12\n",
      "15:  4.9851e+06 -5.5958e+06  1e+07  2e-16  1e-12\n",
      "16:  7.1492e+05 -7.9402e+05  2e+06  2e-16  4e-13\n",
      "17:  1.0217e+05 -1.1376e+05  2e+05  2e-16  7e-14\n",
      "18:  1.4509e+04 -1.6416e+04  3e+04  1e-16  3e-14\n",
      "19:  2.0271e+03 -2.4031e+03  4e+03  2e-16  2e-14\n",
      "20:  2.6965e+02 -3.6460e+02  6e+02  2e-16  7e-15\n",
      "21:  2.9674e+01 -6.0684e+01  9e+01  2e-16  2e-15\n",
      "22: -3.1874e-01 -1.2752e+01  1e+01  1e-16  7e-16\n",
      "23: -3.1776e+00 -4.5259e+00  1e+00  9e-17  2e-16\n",
      "24: -3.3410e+00 -3.5425e+00  2e-01  7e-17  7e-17\n",
      "25: -3.3620e+00 -3.3760e+00  1e-02  2e-16  9e-17\n",
      "26: -3.3627e+00 -3.3631e+00  4e-04  2e-16  1e-16\n",
      "27: -3.3627e+00 -3.3627e+00  4e-06  3e-16  3e-17\n",
      "28: -3.3627e+00 -3.3627e+00  4e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  8.8344e+01 -2.0167e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.6743e+02 -3.4538e+06  7e+02  1e+00  1e+00\n",
      " 3:  1.1159e+01 -1.1599e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.7148e+01 -4.8393e+07  1e+04  1e+00  1e+00\n",
      " 5:  9.1609e+01 -9.3389e+08  2e+05  1e+00  1e+00\n",
      " 6:  9.0156e+01 -6.5554e+11  2e+08  1e+00  1e+00\n",
      " 7:  5.5122e+08 -1.2418e+19  1e+19  7e-13  5e-03\n",
      " 8:  5.5122e+08 -1.2418e+17  1e+17  7e-15  5e-03\n",
      " 9:  5.5122e+08 -1.2418e+15  1e+15  3e-16  4e-05\n",
      "10:  5.5121e+08 -1.2423e+13  1e+13  2e-16  7e-07\n",
      "11:  5.5084e+08 -1.2936e+11  1e+11  2e-16  8e-09\n",
      "12:  5.1746e+08 -6.1521e+09  7e+09  1e-16  4e-10\n",
      "13:  1.2610e+08 -1.1147e+09  1e+09  1e-16  7e-10\n",
      "14:  2.7780e+07 -5.0439e+07  8e+07  2e-16  2e-11\n",
      "15:  4.0779e+06 -4.4350e+06  9e+06  1e-16  9e-13\n",
      "16:  5.8523e+05 -6.5450e+05  1e+06  1e-16  4e-13\n",
      "17:  8.3617e+04 -9.3223e+04  2e+05  1e-16  1e-13\n",
      "18:  1.1866e+04 -1.3462e+04  3e+04  2e-16  6e-14\n",
      "19:  1.6539e+03 -1.9739e+03  4e+03  2e-16  2e-14\n",
      "20:  2.1831e+02 -3.0096e+02  5e+02  2e-16  4e-15\n",
      "21:  2.3144e+01 -5.0742e+01  7e+01  2e-16  2e-15\n",
      "22: -9.3747e-01 -1.1016e+01  1e+01  1e-16  8e-16\n",
      "23: -3.1706e+00 -4.2957e+00  1e+00  2e-16  3e-16\n",
      "24: -3.3396e+00 -3.5532e+00  2e-01  1e-16  8e-17\n",
      "25: -3.3703e+00 -3.4084e+00  4e-02  2e-16  8e-17\n",
      "26: -3.3717e+00 -3.3733e+00  2e-03  2e-16  7e-17\n",
      "27: -3.3718e+00 -3.3718e+00  2e-05  2e-16  7e-17\n",
      "28: -3.3718e+00 -3.3718e+00  2e-07  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.6434e+01 -2.4433e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.0006e+02 -4.1824e+06  8e+02  1e+00  1e+00\n",
      " 3:  9.0343e+01 -9.2444e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.4565e+02 -3.7456e+07  7e+03  1e+00  1e+00\n",
      " 5:  4.1980e+00 -1.0713e+10  2e+06  1e+00  1e+00\n",
      " 6:  3.4212e+00 -6.9679e+12  2e+09  1e+00  1e+00\n",
      " 7:  5.0439e+09 -1.1956e+20  1e+20  3e-13  5e-02\n",
      " 8:  5.0439e+09 -1.1956e+18  1e+18  3e-15  3e-02\n",
      " 9:  5.0439e+09 -1.1956e+16  1e+16  1e-16  6e-04\n",
      "10:  5.0439e+09 -1.1957e+14  1e+14  2e-16  6e-06\n",
      "11:  5.0428e+09 -1.2106e+12  1e+12  1e-16  6e-08\n",
      "12:  4.9440e+09 -2.6986e+10  3e+10  1e-16  2e-09\n",
      "13:  2.3167e+09 -8.1845e+09  1e+10  1e-16  3e-09\n",
      "14:  4.9045e+08 -2.5583e+09  3e+09  4e-16  7e-12\n",
      "15:  1.0042e+08 -1.3438e+08  2e+08  1e-16  4e-12\n",
      "16:  1.4562e+07 -1.6075e+07  3e+07  2e-16  9e-13\n",
      "17:  2.0914e+06 -2.3289e+06  4e+06  2e-16  4e-13\n",
      "18:  2.9937e+05 -3.3202e+05  6e+05  3e-16  2e-13\n",
      "19:  4.2682e+04 -4.7747e+04  9e+04  2e-16  8e-14\n",
      "20:  6.0282e+03 -6.9261e+03  1e+04  3e-16  2e-14\n",
      "21:  8.2917e+02 -1.0265e+03  2e+03  2e-16  1e-14\n",
      "22:  1.0462e+02 -1.6074e+02  3e+02  2e-16  4e-15\n",
      "23:  8.4988e+00 -2.9001e+01  4e+01  2e-16  9e-16\n",
      "24: -2.5076e+00 -7.3825e+00  5e+00  2e-16  7e-16\n",
      "25: -3.3072e+00 -3.9398e+00  6e-01  1e-16  1e-16\n",
      "26: -3.3726e+00 -3.4541e+00  8e-02  1e-16  7e-17\n",
      "27: -3.3767e+00 -3.3798e+00  3e-03  2e-16  9e-17\n",
      "28: -3.3767e+00 -3.3768e+00  3e-05  2e-16  1e-16\n",
      "29: -3.3767e+00 -3.3767e+00  3e-07  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.1822e+02 -3.0654e+06  5e+02  1e+00  1e+00\n",
      " 2:  2.4137e+02 -5.0653e+06  1e+03  1e+00  1e+00\n",
      " 3:  7.1625e+01 -1.4299e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.4331e+02 -4.9718e+07  1e+04  1e+00  1e+00\n",
      " 5:  2.2561e+02 -2.8086e+09  6e+05  1e+00  1e+00\n",
      " 6:  3.7955e+09 -6.8229e+16  7e+16  3e-13  2e-05\n",
      " 7:  3.7955e+09 -6.8231e+14  7e+14  3e-15  1e-05\n",
      " 8:  3.7953e+09 -6.8438e+12  7e+12  2e-16  2e-07\n",
      " 9:  3.7784e+09 -8.9122e+10  9e+10  1e-16  4e-09\n",
      "10:  2.8923e+09 -1.7266e+10  2e+10  2e-16  8e-10\n",
      "11:  7.8633e+08 -7.9338e+09  9e+09  1e-16  1e-10\n",
      "12:  2.1624e+08 -4.2647e+08  6e+08  2e-16  9e-12\n",
      "13:  3.2374e+07 -3.6014e+07  7e+07  2e-16  2e-12\n",
      "14:  4.6570e+06 -5.2171e+06  1e+07  2e-16  9e-13\n",
      "15:  6.6743e+05 -7.3988e+05  1e+06  2e-16  3e-13\n",
      "16:  9.5351e+04 -1.0615e+05  2e+05  3e-16  1e-13\n",
      "17:  1.3535e+04 -1.5326e+04  3e+04  1e-16  4e-14\n",
      "18:  1.8891e+03 -2.2456e+03  4e+03  1e-16  2e-14\n",
      "19:  2.5048e+02 -3.4143e+02  6e+02  2e-16  6e-15\n",
      "20:  2.7152e+01 -5.7137e+01  8e+01  3e-16  2e-15\n",
      "21: -6.0818e-01 -1.2169e+01  1e+01  1e-16  4e-16\n",
      "22: -3.2125e+00 -4.4437e+00  1e+00  2e-16  2e-16\n",
      "23: -3.3385e+00 -3.6470e+00  3e-01  2e-16  5e-17\n",
      "24: -3.3802e+00 -3.5017e+00  1e-01  3e-16  7e-17\n",
      "25: -3.3818e+00 -3.3869e+00  5e-03  2e-16  1e-16\n",
      "26: -3.3818e+00 -3.3818e+00  6e-05  2e-16  1e-16\n",
      "27: -3.3818e+00 -3.3818e+00  6e-07  2e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.5075e+02 -3.8768e+06  6e+02  1e+00  1e+00\n",
      " 2:  2.9136e+02 -6.1725e+06  1e+03  1e+00  1e+00\n",
      " 3:  1.8304e+01 -2.5051e+07  5e+03  1e+00  1e+00\n",
      " 4:  5.0496e+01 -7.8963e+07  2e+04  1e+00  1e+00\n",
      " 5:  1.1527e+02 -7.6622e+08  2e+05  1e+00  1e+00\n",
      " 6:  1.9836e+02 -1.7950e+11  4e+07  1e+00  1e+00\n",
      " 7:  8.4504e+08 -4.0511e+18  4e+18  4e-13  2e-03\n",
      " 8:  8.4504e+08 -4.0511e+16  4e+16  4e-15  9e-04\n",
      " 9:  8.4504e+08 -4.0512e+14  4e+14  2e-16  1e-05\n",
      "10:  8.4502e+08 -4.0603e+12  4e+12  2e-16  2e-07\n",
      "11:  8.4303e+08 -4.9652e+10  5e+10  2e-16  2e-09\n",
      "12:  7.3615e+08 -8.7172e+09  9e+09  2e-16  3e-08\n",
      "13:  3.0865e+08 -5.5648e+09  6e+09  2e-16  7e-09\n",
      "14:  8.0709e+07 -2.0841e+08  3e+08  2e-16  3e-10\n",
      "15:  1.2213e+07 -1.3753e+07  3e+07  2e-16  3e-12\n",
      "16:  1.7525e+06 -1.9472e+06  4e+06  2e-16  3e-13\n",
      "17:  2.5082e+05 -2.7826e+05  5e+05  2e-16  2e-13\n",
      "18:  3.5750e+04 -4.0017e+04  8e+04  2e-16  5e-14\n",
      "19:  5.0456e+03 -5.8085e+03  1e+04  9e-17  2e-14\n",
      "20:  6.9253e+02 -8.6216e+02  2e+03  2e-16  9e-15\n",
      "21:  8.6667e+01 -1.3559e+02  2e+02  2e-16  2e-15\n",
      "22:  6.5815e+00 -2.4753e+01  3e+01  2e-16  1e-15\n",
      "23: -2.5213e+00 -6.5227e+00  4e+00  1e-16  2e-16\n",
      "24: -3.3262e+00 -4.1620e+00  8e-01  2e-16  2e-16\n",
      "25: -3.3830e+00 -3.4518e+00  7e-02  2e-16  9e-17\n",
      "26: -3.3865e+00 -3.3902e+00  4e-03  2e-16  7e-17\n",
      "27: -3.3866e+00 -3.3867e+00  1e-04  2e-16  7e-17\n",
      "28: -3.3866e+00 -3.3866e+00  1e-06  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "processing  CSQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  9.8161e+01 -1.0499e+06  2e+02  1e+00  1e+00\n",
      " 2:  9.4513e-01 -2.7820e+06  8e+02  1e+00  1e+00\n",
      " 3:  3.6194e+01 -7.3031e+07  1e+04  1e+00  1e+00\n",
      " 4:  9.7247e+01 -9.6577e+09  2e+06  1e+00  1e+00\n",
      " 5:  7.9313e+05 -2.2611e+17  2e+17  6e-13  1e-04\n",
      " 6:  7.9313e+05 -2.2611e+15  2e+15  6e-15  5e-05\n",
      " 7:  7.9313e+05 -2.2611e+13  2e+13  3e-17  4e-07\n",
      " 8:  7.9311e+05 -2.2611e+11  2e+11  5e-17  6e-09\n",
      " 9:  7.9127e+05 -2.2628e+09  2e+09  3e-16  7e-11\n",
      "10:  6.4335e+05 -2.3941e+07  2e+07  2e-16  1e-12\n",
      "11:  1.1103e+05 -3.5959e+05  5e+05  1e-16  1e-14\n",
      "12:  1.5995e+04 -1.9254e+04  4e+04  2e-16  2e-14\n",
      "13:  2.1947e+03 -2.7174e+03  5e+03  8e-17  2e-14\n",
      "14:  2.7424e+02 -4.2919e+02  7e+02  9e-17  4e-16\n",
      "15:  1.9643e+01 -7.9002e+01  1e+02  2e-16  2e-15\n",
      "16: -1.0121e+01 -2.2354e+01  1e+01  2e-16  3e-16\n",
      "17: -1.3255e+01 -1.4860e+01  2e+00  2e-16  7e-17\n",
      "18: -1.3604e+01 -1.3783e+01  2e-01  1e-16  5e-17\n",
      "19: -1.3615e+01 -1.3619e+01  4e-03  1e-16  5e-17\n",
      "20: -1.3615e+01 -1.3615e+01  4e-05  2e-16  8e-17\n",
      "21: -1.3615e+01 -1.3615e+01  4e-07  9e-17  3e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.3307e+02 -1.8528e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2248e+02 -2.6205e+06  5e+02  1e+00  1e+00\n",
      " 3:  9.7180e+01 -1.8737e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.6478e+02 -7.0410e+08  1e+05  1e+00  1e+00\n",
      " 5:  1.3036e+05 -1.3603e+14  1e+12  1e+00  1e+00\n",
      " 6:  2.1210e+09 -2.0297e+18  2e+18  5e-15  5e-03\n",
      " 7:  2.1210e+09 -2.0297e+16  2e+16  6e-17  4e-04\n",
      " 8:  2.1210e+09 -2.0298e+14  2e+14  2e-16  6e-06\n",
      " 9:  2.1210e+09 -2.0403e+12  2e+12  2e-16  9e-08\n",
      "10:  2.1187e+09 -3.0932e+10  3e+10  2e-16  1e-09\n",
      "11:  1.9832e+09 -1.0009e+10  1e+10  2e-16  4e-10\n",
      "12:  8.2544e+07 -1.4382e+10  1e+10  3e-16  3e-10\n",
      "13:  5.2592e+07 -2.7499e+08  3e+08  2e-16  7e-12\n",
      "14:  8.5696e+06 -1.2282e+07  2e+07  3e-16  3e-13\n",
      "15:  1.2260e+06 -1.3389e+06  3e+06  2e-16  1e-13\n",
      "16:  1.7516e+05 -1.9633e+05  4e+05  9e-17  2e-14\n",
      "17:  2.4805e+04 -2.8311e+04  5e+04  2e-16  3e-14\n",
      "18:  3.4359e+03 -4.1719e+03  8e+03  2e-16  1e-14\n",
      "19:  4.4369e+02 -6.4433e+02  1e+03  2e-16  8e-15\n",
      "20:  4.1367e+01 -1.1260e+02  2e+02  3e-16  1e-15\n",
      "21: -7.1331e+00 -2.7218e+01  2e+01  2e-16  4e-16\n",
      "22: -1.3200e+01 -1.7709e+01  5e+00  2e-16  1e-16\n",
      "23: -1.3811e+01 -1.4242e+01  4e-01  2e-16  2e-16\n",
      "24: -1.3847e+01 -1.3862e+01  2e-02  1e-16  4e-17\n",
      "25: -1.3847e+01 -1.3847e+01  2e-04  2e-16  1e-16\n",
      "26: -1.3847e+01 -1.3847e+01  2e-06  7e-17  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.5908e+02 -2.6950e+06  5e+02  1e+00  1e+00\n",
      " 2:  1.9624e+02 -3.9636e+06  7e+02  1e+00  1e+00\n",
      " 3:  5.5773e+00 -1.2370e+07  3e+03  1e+00  1e+00\n",
      " 4:  4.7407e+01 -4.3069e+07  9e+03  1e+00  1e+00\n",
      " 5:  9.3041e+01 -4.9189e+08  1e+05  1e+00  1e+00\n",
      " 6:  1.1584e+02 -1.1754e+11  2e+07  1e+00  1e+00\n",
      " 7:  1.0903e+09 -2.6398e+18  3e+18  5e-13  5e-04\n",
      " 8:  1.0903e+09 -2.6398e+16  3e+16  5e-15  6e-04\n",
      " 9:  1.0903e+09 -2.6398e+14  3e+14  2e-16  7e-06\n",
      "10:  1.0903e+09 -2.6467e+12  3e+12  9e-17  5e-08\n",
      "11:  1.0863e+09 -3.3275e+10  3e+10  9e-17  7e-10\n",
      "12:  8.2214e+08 -5.3650e+09  6e+09  2e-16  9e-09\n",
      "13:  1.3429e+08 -8.8508e+08  1e+09  9e-17  4e-11\n",
      "14:  2.7399e+07 -4.4710e+07  7e+07  6e-17  2e-12\n",
      "15:  3.9543e+06 -4.3015e+06  8e+06  9e-17  8e-14\n",
      "16:  5.6647e+05 -6.3626e+05  1e+06  2e-16  1e-13\n",
      "17:  8.0569e+04 -9.1033e+04  2e+05  2e-16  4e-14\n",
      "18:  1.1292e+04 -1.3285e+04  2e+04  2e-16  2e-14\n",
      "19:  1.5165e+03 -2.0023e+03  4e+03  2e-16  3e-15\n",
      "20:  1.7421e+02 -3.2779e+02  5e+02  2e-16  3e-15\n",
      "21:  3.7469e+00 -6.6017e+01  7e+01  2e-16  9e-16\n",
      "22: -1.3173e+01 -2.1265e+01  8e+00  9e-17  3e-16\n",
      "23: -1.3916e+01 -1.4225e+01  3e-01  1e-16  3e-17\n",
      "24: -1.3924e+01 -1.3934e+01  9e-03  2e-16  4e-17\n",
      "25: -1.3924e+01 -1.3924e+01  1e-04  2e-16  1e-16\n",
      "26: -1.3924e+01 -1.3924e+01  1e-06  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.6870e+02 -3.5130e+06  6e+02  1e+00  1e+00\n",
      " 2:  3.0186e+02 -5.6361e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.1392e+02 -9.0753e+06  2e+03  1e+00  1e+00\n",
      " 4:  2.8942e+02 -7.8040e+07  2e+04  1e+00  1e+00\n",
      " 5:  4.5380e+01 -8.2915e+09  2e+06  1e+00  1e+00\n",
      " 6:  8.1919e+01 -1.1692e+13  3e+09  1e+00  1e+00\n",
      " 7:  2.5716e+09 -1.6659e+20  2e+20  5e-13  5e-02\n",
      " 8:  2.5716e+09 -1.6659e+18  2e+18  5e-15  2e-02\n",
      " 9:  2.5716e+09 -1.6659e+16  2e+16  2e-16  4e-04\n",
      "10:  2.5716e+09 -1.6662e+14  2e+14  2e-16  4e-06\n",
      "11:  2.5714e+09 -1.6972e+12  2e+12  3e-16  4e-08\n",
      "12:  2.5535e+09 -4.7900e+10  5e+10  2e-16  1e-09\n",
      "13:  7.7654e+08 -1.3644e+10  1e+10  2e-16  1e-09\n",
      "14:  2.7563e+08 -5.4071e+08  8e+08  1e-16  5e-11\n",
      "15:  4.1682e+07 -4.4977e+07  9e+07  2e-16  1e-12\n",
      "16:  5.9963e+06 -6.7549e+06  1e+07  2e-16  4e-13\n",
      "17:  8.5853e+05 -9.5443e+05  2e+06  2e-16  1e-13\n",
      "18:  1.2233e+05 -1.3730e+05  3e+05  1e-16  5e-14\n",
      "19:  1.7239e+04 -1.9946e+04  4e+04  1e-16  1e-14\n",
      "20:  2.3548e+03 -2.9707e+03  5e+03  2e-16  7e-15\n",
      "21:  2.8954e+02 -4.7145e+02  8e+02  1e-16  3e-15\n",
      "22:  1.8898e+01 -8.8055e+01  1e+02  1e-16  9e-16\n",
      "23: -1.1081e+01 -2.4419e+01  1e+01  2e-16  1e-16\n",
      "24: -1.3511e+01 -1.5931e+01  2e+00  1e-16  9e-17\n",
      "25: -1.3985e+01 -1.4282e+01  3e-01  1e-16  1e-16\n",
      "26: -1.4000e+01 -1.4015e+01  1e-02  2e-16  1e-16\n",
      "27: -1.4001e+01 -1.4001e+01  1e-04  2e-16  9e-17\n",
      "28: -1.4001e+01 -1.4001e+01  1e-06  3e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.6802e+02 -4.2276e+06  6e+02  1e+00  1e+00\n",
      " 2:  3.7317e+02 -7.2389e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.7145e+02 -1.1998e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.2635e+02 -4.7857e+07  9e+03  1e+00  1e+00\n",
      " 5:  2.6188e+02 -3.4549e+08  7e+04  1e+00  1e+00\n",
      " 6:  3.0540e+02 -7.8625e+10  2e+07  1e+00  1e+00\n",
      " 7:  1.2947e+09 -1.7759e+18  2e+18  6e-13  2e-04\n",
      " 8:  1.2947e+09 -1.7759e+16  2e+16  6e-15  3e-04\n",
      " 9:  1.2947e+09 -1.7761e+14  2e+14  2e-16  4e-06\n",
      "10:  1.2945e+09 -1.7989e+12  2e+12  2e-16  5e-08\n",
      "11:  1.2794e+09 -4.0475e+10  4e+10  2e-16  1e-09\n",
      "12:  5.1556e+08 -3.8188e+09  4e+09  6e-17  3e-10\n",
      "13:  9.8158e+07 -1.4988e+08  2e+08  2e-16  3e-12\n",
      "14:  1.4249e+07 -1.6127e+07  3e+07  2e-16  8e-13\n",
      "15:  2.0473e+06 -2.2967e+06  4e+06  2e-16  2e-13\n",
      "16:  2.9260e+05 -3.2711e+05  6e+05  2e-16  5e-14\n",
      "17:  4.1507e+04 -4.7193e+04  9e+04  2e-16  2e-14\n",
      "18:  5.7773e+03 -6.9253e+03  1e+04  2e-16  9e-15\n",
      "19:  7.5901e+02 -1.0589e+03  2e+03  2e-16  7e-15\n",
      "20:  7.8611e+01 -1.7987e+02  3e+02  2e-16  2e-15\n",
      "21: -4.6657e+00 -3.9741e+01  4e+01  2e-16  8e-16\n",
      "22: -1.1981e+01 -1.8673e+01  7e+00  2e-16  9e-17\n",
      "23: -1.3849e+01 -1.5901e+01  2e+00  1e-16  1e-16\n",
      "24: -1.4004e+01 -1.4188e+01  2e-01  1e-16  1e-16\n",
      "25: -1.4024e+01 -1.4041e+01  2e-02  2e-16  1e-16\n",
      "26: -1.4025e+01 -1.4025e+01  6e-04  1e-16  2e-16\n",
      "27: -1.4025e+01 -1.4025e+01  6e-06  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.8753e+02 -5.2374e+06  8e+02  1e+00  1e+00\n",
      " 2:  4.7074e+02 -9.4168e+06  2e+03  1e+00  1e+00\n",
      " 3:  5.1956e+02 -1.3358e+07  2e+03  1e+00  1e+00\n",
      " 4:  5.2530e+02 -3.1171e+07  6e+03  1e+00  1e+00\n",
      " 5:  1.3609e+02 -4.1421e+08  8e+04  1e+00  1e+00\n",
      " 6:  2.1800e+02 -8.4193e+09  2e+06  1e+00  1e+00\n",
      " 7:  2.4161e+02 -6.1283e+12  1e+09  1e+00  1e+00\n",
      " 8:  3.2393e+09 -1.1390e+20  1e+20  5e-13  1e-02\n",
      " 9:  3.2393e+09 -1.1390e+18  1e+18  5e-15  8e-03\n",
      "10:  3.2393e+09 -1.1390e+16  1e+16  2e-16  7e-05\n",
      "11:  3.2393e+09 -1.1395e+14  1e+14  2e-16  1e-06\n",
      "12:  3.2385e+09 -1.1910e+12  1e+12  3e-16  2e-08\n",
      "13:  3.1647e+09 -6.2611e+10  7e+10  1e-16  1e-09\n",
      "14:  9.1633e+08 -5.0392e+10  5e+10  2e-16  2e-09\n",
      "15:  4.7558e+08 -1.7278e+09  2e+09  1e-16  9e-11\n",
      "16:  7.8917e+07 -9.8499e+07  2e+08  2e-16  2e-12\n",
      "17:  1.1352e+07 -1.2604e+07  2e+07  2e-16  5e-13\n",
      "18:  1.6268e+06 -1.8096e+06  3e+06  2e-16  2e-13\n",
      "19:  2.3217e+05 -2.5937e+05  5e+05  3e-16  9e-14\n",
      "20:  3.2861e+04 -3.7543e+04  7e+04  2e-16  2e-14\n",
      "21:  4.5475e+03 -5.5374e+03  1e+04  1e-16  1e-14\n",
      "22:  5.8613e+02 -8.5678e+02  1e+03  2e-16  5e-15\n",
      "23:  5.4712e+01 -1.4991e+02  2e+02  1e-16  2e-15\n",
      "24: -8.2607e+00 -3.5509e+01  3e+01  2e-16  7e-16\n",
      "25: -1.3491e+01 -1.5939e+01  2e+00  2e-16  1e-16\n",
      "26: -1.3971e+01 -1.4452e+01  5e-01  1e-16  1e-16\n",
      "27: -1.4033e+01 -1.4141e+01  1e-01  2e-16  1e-16\n",
      "28: -1.4035e+01 -1.4038e+01  3e-03  2e-16  1e-16\n",
      "29: -1.4035e+01 -1.4035e+01  3e-05  2e-16  7e-17\n",
      "30: -1.4035e+01 -1.4035e+01  3e-07  3e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.9687e+02 -6.1742e+06  9e+02  1e+00  1e+00\n",
      " 2:  2.7194e+02 -7.5853e+06  1e+03  1e+00  1e+00\n",
      " 3:  5.1668e+02 -1.1400e+07  2e+03  1e+00  1e+00\n",
      " 4:  7.3405e+02 -1.6941e+07  3e+03  1e+00  1e+00\n",
      " 5:  6.6943e+02 -3.9575e+07  8e+03  1e+00  1e+00\n",
      " 6:  1.4089e+02 -4.7656e+08  1e+05  1e+00  1e+00\n",
      " 7:  2.4264e+02 -7.7720e+09  2e+06  1e+00  1e+00\n",
      " 8:  3.1691e+02 -3.1828e+12  7e+08  1e+00  1e+00\n",
      " 9:  4.2147e+09 -6.6533e+19  7e+19  4e-13  9e-03\n",
      "10:  4.2147e+09 -6.6533e+17  7e+17  4e-15  5e-03\n",
      "11:  4.2147e+09 -6.6534e+15  7e+15  2e-16  8e-05\n",
      "12:  4.2147e+09 -6.6601e+13  7e+13  2e-16  9e-07\n",
      "13:  4.2112e+09 -7.3273e+11  7e+11  1e-16  9e-09\n",
      "14:  3.9409e+09 -7.1126e+10  8e+10  3e-16  2e-09\n",
      "15:  1.3186e+09 -6.7997e+10  7e+10  2e-16  2e-09\n",
      "16:  6.5924e+08 -5.3166e+09  6e+09  2e-16  2e-10\n",
      "17:  1.2369e+08 -2.1548e+08  3e+08  2e-16  4e-12\n",
      "18:  1.7988e+07 -1.9636e+07  4e+07  2e-16  7e-13\n",
      "19:  2.5813e+06 -2.8830e+06  5e+06  1e-16  2e-13\n",
      "20:  3.6883e+05 -4.1102e+05  8e+05  2e-16  8e-14\n",
      "21:  5.2354e+04 -5.9339e+04  1e+05  3e-16  4e-14\n",
      "22:  7.3039e+03 -8.6949e+03  2e+04  2e-16  1e-14\n",
      "23:  9.6712e+02 -1.3232e+03  2e+03  2e-16  7e-15\n",
      "24:  1.0418e+02 -2.2191e+02  3e+02  2e-16  2e-15\n",
      "25: -2.8169e+00 -4.7479e+01  4e+01  2e-16  5e-16\n",
      "26: -1.2886e+01 -1.7521e+01  5e+00  1e-16  2e-16\n",
      "27: -1.3905e+01 -1.4752e+01  8e-01  2e-16  8e-17\n",
      "28: -1.4035e+01 -1.4216e+01  2e-01  2e-16  9e-17\n",
      "29: -1.4044e+01 -1.4056e+01  1e-02  2e-16  1e-16\n",
      "30: -1.4045e+01 -1.4045e+01  3e-04  2e-16  8e-17\n",
      "31: -1.4045e+01 -1.4045e+01  3e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.4841e+02 -7.9499e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.0600e+02 -9.0584e+06  1e+03  1e+00  1e+00\n",
      " 3:  4.7642e+02 -1.1947e+07  2e+03  1e+00  1e+00\n",
      " 4:  7.0565e+02 -1.5775e+07  3e+03  1e+00  1e+00\n",
      " 5:  8.3520e+02 -2.8058e+07  5e+03  1e+00  1e+00\n",
      " 6:  3.0878e+02 -1.0416e+08  2e+04  1e+00  1e+00\n",
      " 7:  6.5011e+02 -8.0009e+08  2e+05  1e+00  1e+00\n",
      " 8:  2.9698e+10 -1.9677e+16  2e+16  5e-13  3e-06\n",
      " 9:  2.9697e+10 -1.9688e+14  2e+14  5e-15  1e-06\n",
      "10:  2.9677e+10 -2.0728e+12  2e+12  1e-16  2e-08\n",
      "11:  2.8011e+10 -1.2041e+11  1e+11  1e-16  2e-09\n",
      "12:  1.0362e+10 -9.3092e+10  1e+11  2e-16  5e-09\n",
      "13:  4.4957e+09 -1.2890e+10  2e+10  2e-16  7e-10\n",
      "14:  7.5028e+08 -1.1984e+09  2e+09  2e-16  3e-12\n",
      "15:  1.1243e+08 -1.2481e+08  2e+08  1e-16  1e-12\n",
      "16:  1.6180e+07 -1.8172e+07  3e+07  2e-16  7e-13\n",
      "17:  2.3189e+06 -2.5725e+06  5e+06  1e-16  2e-13\n",
      "18:  3.3123e+05 -3.6905e+05  7e+05  2e-16  9e-14\n",
      "19:  4.6993e+04 -5.3306e+04  1e+05  2e-16  5e-14\n",
      "20:  6.5479e+03 -7.8202e+03  1e+04  2e-16  1e-14\n",
      "21:  8.6366e+02 -1.1931e+03  2e+03  2e-16  5e-15\n",
      "22:  9.1312e+01 -2.0137e+02  3e+02  2e-16  3e-15\n",
      "23: -3.8131e+00 -4.3748e+01  4e+01  2e-16  4e-16\n",
      "24: -1.2435e+01 -1.8207e+01  6e+00  1e-16  2e-16\n",
      "25: -1.3919e+01 -1.5541e+01  2e+00  3e-16  1e-16\n",
      "26: -1.4032e+01 -1.4231e+01  2e-01  2e-16  7e-17\n",
      "27: -1.4047e+01 -1.4063e+01  2e-02  2e-16  1e-16\n",
      "28: -1.4048e+01 -1.4048e+01  6e-04  2e-16  5e-17\n",
      "29: -1.4048e+01 -1.4048e+01  7e-06  2e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  2.6158e+02 -9.0866e+06  1e+03  1e+00  1e+00\n",
      " 2:  3.3546e+02 -1.0591e+07  2e+03  1e+00  1e+00\n",
      " 3:  4.3542e+02 -1.2443e+07  2e+03  1e+00  1e+00\n",
      " 4:  7.0969e+02 -1.6878e+07  3e+03  1e+00  1e+00\n",
      " 5:  9.7765e+02 -2.3327e+07  4e+03  1e+00  1e+00\n",
      " 6:  9.5467e+02 -5.4230e+07  1e+04  1e+00  1e+00\n",
      " 7:  3.0129e+02 -2.9603e+08  6e+04  1e+00  1e+00\n",
      " 8:  6.0153e+02 -3.1075e+09  6e+05  1e+00  1e+00\n",
      " 9:  7.4396e+02 -1.5656e+12  3e+08  1e+00  1e+00\n",
      "10:  2.7180e+09 -3.1732e+19  3e+19  7e-13  3e-03\n",
      "11:  2.7180e+09 -3.1732e+17  3e+17  7e-15  2e-03\n",
      "12:  2.7180e+09 -3.1732e+15  3e+15  1e-16  3e-05\n",
      "13:  2.7180e+09 -3.1813e+13  3e+13  2e-16  3e-07\n",
      "14:  2.7129e+09 -3.9889e+11  4e+11  1e-16  4e-09\n",
      "15:  2.4291e+09 -7.2936e+10  8e+10  1e-16  1e-07\n",
      "16:  1.0496e+09 -5.4516e+10  6e+10  3e-16  6e-08\n",
      "17:  4.4470e+08 -1.6699e+09  2e+09  2e-16  2e-09\n",
      "18:  7.1147e+07 -8.6871e+07  2e+08  2e-16  3e-11\n",
      "19:  1.0214e+07 -1.1281e+07  2e+07  2e-16  5e-13\n",
      "20:  1.4628e+06 -1.6241e+06  3e+06  2e-16  2e-13\n",
      "21:  2.0868e+05 -2.3307e+05  4e+05  3e-16  9e-14\n",
      "22:  2.9521e+04 -3.3761e+04  6e+04  2e-16  2e-14\n",
      "23:  4.0800e+03 -4.9851e+03  9e+03  2e-16  1e-14\n",
      "24:  5.2356e+02 -7.7334e+02  1e+03  2e-16  4e-15\n",
      "25:  4.7585e+01 -1.3620e+02  2e+02  3e-16  1e-15\n",
      "26: -8.4302e+00 -3.2764e+01  2e+01  2e-16  5e-16\n",
      "27: -1.2922e+01 -1.7239e+01  4e+00  2e-16  2e-16\n",
      "28: -1.3958e+01 -1.4865e+01  9e-01  1e-16  1e-16\n",
      "29: -1.4044e+01 -1.4181e+01  1e-01  2e-16  1e-16\n",
      "30: -1.4051e+01 -1.4059e+01  8e-03  2e-16  1e-16\n",
      "31: -1.4052e+01 -1.4052e+01  2e-04  2e-16  8e-17\n",
      "32: -1.4052e+01 -1.4052e+01  2e-06  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "processing  VTQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  6.4783e+01 -7.5308e+05  2e+02  1e+00  1e+00\n",
      " 2:  5.0258e+00 -2.3003e+06  6e+02  1e+00  1e+00\n",
      " 3:  2.1859e+01 -6.4412e+07  1e+04  1e+00  1e+00\n",
      " 4:  6.4628e+01 -1.1860e+10  2e+06  1e+00  1e+00\n",
      " 5:  1.8228e+05 -2.7222e+17  3e+17  9e-13  2e-04\n",
      " 6:  1.8228e+05 -2.7222e+15  3e+15  9e-15  4e-05\n",
      " 7:  1.8228e+05 -2.7222e+13  3e+13  5e-17  1e-06\n",
      " 8:  1.8227e+05 -2.7222e+11  3e+11  1e-16  9e-09\n",
      " 9:  1.8214e+05 -2.7225e+09  3e+09  4e-16  2e-10\n",
      "10:  1.6953e+05 -2.7428e+07  3e+07  2e-16  2e-12\n",
      "11:  3.7054e+04 -3.1275e+05  3e+05  2e-16  2e-14\n",
      "12:  5.3430e+03 -8.4706e+03  1e+04  3e-16  8e-15\n",
      "13:  7.1551e+02 -9.1518e+02  2e+03  3e-17  1e-14\n",
      "14:  8.3060e+01 -1.5331e+02  2e+02  3e-16  0e+00\n",
      "15:  2.2663e+00 -3.0543e+01  3e+01  2e-16  1e-15\n",
      "16: -5.9716e+00 -9.7833e+00  4e+00  6e-17  2e-16\n",
      "17: -6.4778e+00 -6.7804e+00  3e-01  8e-17  2e-16\n",
      "18: -6.5063e+00 -6.5196e+00  1e-02  3e-16  9e-17\n",
      "19: -6.5064e+00 -6.5065e+00  1e-04  3e-16  6e-17\n",
      "20: -6.5064e+00 -6.5064e+00  1e-06  2e-16  2e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  7.5993e+01 -1.1051e+06  2e+02  1e+00  1e+00\n",
      " 2:  6.7949e+01 -1.8105e+06  3e+02  1e+00  1e+00\n",
      " 3:  4.7475e+01 -1.2481e+07  2e+03  1e+00  1e+00\n",
      " 4:  9.6447e+01 -2.9318e+08  6e+04  1e+00  1e+00\n",
      " 5:  7.3656e+08 -7.2117e+15  7e+15  1e-13  7e-06\n",
      " 6:  7.3656e+08 -7.2120e+13  7e+13  1e-15  5e-07\n",
      " 7:  7.3647e+08 -7.2465e+11  7e+11  1e-16  2e-08\n",
      " 8:  7.2778e+08 -1.0661e+10  1e+10  2e-16  4e-10\n",
      " 9:  3.7350e+08 -1.5866e+09  2e+09  2e-16  5e-11\n",
      "10:  6.3564e+07 -1.1812e+08  2e+08  2e-16  1e-12\n",
      "11:  9.9454e+06 -1.1141e+07  2e+07  3e-16  4e-13\n",
      "12:  1.4308e+06 -1.6123e+06  3e+06  3e-16  3e-13\n",
      "13:  2.0467e+05 -2.2863e+05  4e+05  1e-16  7e-14\n",
      "14:  2.9071e+04 -3.2956e+04  6e+04  2e-16  4e-14\n",
      "15:  4.0599e+03 -4.8231e+03  9e+03  8e-17  9e-15\n",
      "16:  5.3920e+02 -7.3247e+02  1e+03  2e-16  4e-15\n",
      "17:  5.8944e+01 -1.2222e+02  2e+02  1e-16  1e-15\n",
      "18: -8.6831e-01 -2.5797e+01  2e+01  7e-17  1e-15\n",
      "19: -6.4445e+00 -9.1495e+00  3e+00  1e-16  3e-16\n",
      "20: -6.6547e+00 -6.7352e+00  8e-02  1e-16  1e-16\n",
      "21: -6.6571e+00 -6.6587e+00  2e-03  2e-16  3e-17\n",
      "22: -6.6571e+00 -6.6571e+00  2e-05  2e-16  1e-16\n",
      "23: -6.6571e+00 -6.6571e+00  2e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  8.7112e+01 -1.5578e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.2281e+02 -2.5764e+06  5e+02  1e+00  1e+00\n",
      " 3:  2.6845e+01 -7.4370e+06  1e+03  1e+00  1e+00\n",
      " 4:  4.6930e+01 -3.0081e+07  6e+03  1e+00  1e+00\n",
      " 5:  5.2923e+01 -5.2730e+08  1e+05  1e+00  1e+00\n",
      " 6:  5.9904e+01 -2.0288e+11  4e+07  1e+00  1e+00\n",
      " 7:  7.2397e+08 -4.3118e+18  4e+18  3e-13  2e-03\n",
      " 8:  7.2397e+08 -4.3118e+16  4e+16  3e-15  7e-04\n",
      " 9:  7.2397e+08 -4.3119e+14  4e+14  2e-16  1e-05\n",
      "10:  7.2396e+08 -4.3169e+12  4e+12  6e-17  6e-08\n",
      "11:  7.2280e+08 -4.8147e+10  5e+10  1e-16  1e-09\n",
      "12:  6.2887e+08 -4.7862e+09  5e+09  2e-16  2e-08\n",
      "13:  9.3977e+07 -1.0503e+09  1e+09  2e-16  4e-11\n",
      "14:  2.2944e+07 -4.2546e+07  7e+07  2e-16  1e-12\n",
      "15:  3.3655e+06 -3.6375e+06  7e+06  2e-16  2e-13\n",
      "16:  4.8256e+05 -5.4140e+05  1e+06  2e-16  1e-13\n",
      "17:  6.8779e+04 -7.7231e+04  1e+05  8e-17  5e-14\n",
      "18:  9.6955e+03 -1.1218e+04  2e+04  2e-16  3e-14\n",
      "19:  1.3254e+03 -1.6695e+03  3e+03  8e-17  6e-15\n",
      "20:  1.6344e+02 -2.6460e+02  4e+02  2e-16  4e-15\n",
      "21:  1.1066e+01 -4.9194e+01  6e+01  2e-16  1e-15\n",
      "22: -5.7341e+00 -1.3372e+01  8e+00  3e-16  3e-16\n",
      "23: -6.7975e+00 -7.2938e+00  5e-01  3e-16  1e-16\n",
      "24: -6.8236e+00 -6.8405e+00  2e-02  1e-16  1e-16\n",
      "25: -6.8237e+00 -6.8239e+00  2e-04  2e-16  1e-16\n",
      "26: -6.8237e+00 -6.8237e+00  2e-06  2e-16  5e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  9.0763e+01 -1.9158e+06  3e+02  1e+00  1e+00\n",
      " 2:  1.6438e+02 -3.3352e+06  6e+02  1e+00  1e+00\n",
      " 3:  9.5099e+01 -6.5346e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.9998e+02 -5.0912e+07  1e+04  1e+00  1e+00\n",
      " 5:  1.7270e+01 -1.7635e+10  4e+06  1e+00  1e+00\n",
      " 6:  6.3494e+01 -5.7352e+13  2e+10  1e+00  1e+00\n",
      " 7:  3.1845e+09 -4.3104e+20  4e+20  2e-13  2e-01\n",
      " 8:  3.1845e+09 -4.3104e+18  4e+18  2e-15  1e-01\n",
      " 9:  3.1845e+09 -4.3104e+16  4e+16  2e-16  1e-03\n",
      "10:  3.1845e+09 -4.3106e+14  4e+14  2e-16  2e-05\n",
      "11:  3.1845e+09 -4.3231e+12  4e+12  2e-16  2e-07\n",
      "12:  3.1783e+09 -5.5780e+10  6e+10  2e-16  4e-09\n",
      "13:  2.8429e+09 -1.2485e+10  2e+10  1e-16  1e-09\n",
      "14:  9.3479e+08 -1.5539e+10  2e+10  2e-16  1e-09\n",
      "15:  4.8910e+08 -2.3754e+09  3e+09  1e-16  1e-10\n",
      "16:  8.5526e+07 -1.6195e+08  2e+08  2e-16  2e-12\n",
      "17:  1.3270e+07 -1.5238e+07  3e+07  2e-16  6e-13\n",
      "18:  1.9092e+06 -2.1446e+06  4e+06  1e-16  5e-13\n",
      "19:  2.7334e+05 -3.0465e+05  6e+05  2e-16  7e-14\n",
      "20:  3.8917e+04 -4.3801e+04  8e+04  2e-16  6e-14\n",
      "21:  5.4708e+03 -6.3752e+03  1e+04  2e-16  2e-14\n",
      "22:  7.4137e+02 -9.5473e+02  2e+03  1e-16  7e-15\n",
      "23:  8.8115e+01 -1.5388e+02  2e+02  2e-16  2e-15\n",
      "24:  3.6004e+00 -3.0058e+01  3e+01  2e-16  9e-16\n",
      "25: -5.5967e+00 -9.7617e+00  4e+00  2e-16  2e-16\n",
      "26: -6.7664e+00 -7.6978e+00  9e-01  7e-17  2e-16\n",
      "27: -6.8643e+00 -6.9367e+00  7e-02  2e-16  5e-17\n",
      "28: -6.8685e+00 -6.8705e+00  2e-03  2e-16  7e-17\n",
      "29: -6.8685e+00 -6.8685e+00  2e-05  3e-16  1e-16\n",
      "30: -6.8685e+00 -6.8685e+00  2e-07  2e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  9.3034e+01 -2.3396e+06  4e+02  1e+00  1e+00\n",
      " 2:  2.4063e+02 -4.7379e+06  9e+02  1e+00  1e+00\n",
      " 3:  1.7778e+02 -7.3918e+06  1e+03  1e+00  1e+00\n",
      " 4:  1.8112e+02 -1.1856e+08  2e+04  1e+00  1e+00\n",
      " 5:  1.9474e+01 -2.2007e+11  6e+07  1e+00  1e+00\n",
      " 6:  4.3438e+09 -2.8770e+18  3e+18  3e-13  8e-04\n",
      " 7:  4.3438e+09 -2.8770e+16  3e+16  3e-15  7e-04\n",
      " 8:  4.3438e+09 -2.8771e+14  3e+14  2e-16  4e-06\n",
      " 9:  4.3434e+09 -2.8934e+12  3e+12  1e-16  5e-08\n",
      "10:  4.3011e+09 -4.5185e+10  5e+10  2e-16  7e-10\n",
      "11:  3.1957e+09 -1.4872e+10  2e+10  2e-16  2e-10\n",
      "12:  1.2718e+09 -1.7314e+10  2e+10  2e-16  2e-10\n",
      "13:  4.6858e+08 -1.4012e+09  2e+09  2e-16  1e-11\n",
      "14:  7.3727e+07 -8.6828e+07  2e+08  8e-17  2e-12\n",
      "15:  1.0646e+07 -1.2041e+07  2e+07  2e-16  7e-13\n",
      "16:  1.5278e+06 -1.6999e+06  3e+06  2e-16  5e-13\n",
      "17:  2.1839e+05 -2.4331e+05  5e+05  3e-16  8e-14\n",
      "18:  3.1022e+04 -3.5090e+04  7e+04  2e-16  3e-14\n",
      "19:  4.3363e+03 -5.1339e+03  9e+03  2e-16  1e-14\n",
      "20:  5.7769e+02 -7.7813e+02  1e+03  2e-16  4e-15\n",
      "21:  6.4002e+01 -1.2918e+02  2e+02  2e-16  3e-15\n",
      "22: -3.6465e-01 -2.6980e+01  3e+01  4e-16  9e-16\n",
      "23: -6.5492e+00 -9.4576e+00  3e+00  2e-16  2e-16\n",
      "24: -6.9092e+00 -7.2955e+00  4e-01  2e-16  1e-16\n",
      "25: -6.9497e+00 -6.9758e+00  3e-02  6e-17  1e-16\n",
      "26: -6.9502e+00 -6.9505e+00  3e-04  2e-16  1e-16\n",
      "27: -6.9502e+00 -6.9502e+00  3e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  9.4213e+01 -2.7450e+06  4e+02  1e+00  1e+00\n",
      " 2:  3.3934e+02 -6.4919e+06  1e+03  1e+00  1e+00\n",
      " 3:  2.4143e+02 -8.8561e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.9528e+02 -1.0373e+08  2e+04  1e+00  1e+00\n",
      " 5:  3.7855e+02 -1.1012e+10  2e+06  1e+00  1e+00\n",
      " 6:  3.7967e+08 -2.6134e+17  3e+17  5e-13  4e-05\n",
      " 7:  3.7967e+08 -2.6134e+15  3e+15  5e-15  6e-05\n",
      " 8:  3.7967e+08 -2.6137e+13  3e+13  3e-16  9e-07\n",
      " 9:  3.7932e+08 -2.6391e+11  3e+11  2e-16  1e-08\n",
      "10:  3.4769e+08 -4.9636e+09  5e+09  2e-16  2e-10\n",
      "11:  8.1360e+07 -2.3575e+08  3e+08  1e-16  7e-12\n",
      "12:  1.2175e+07 -1.4008e+07  3e+07  2e-16  8e-13\n",
      "13:  1.7482e+06 -1.9537e+06  4e+06  2e-16  4e-13\n",
      "14:  2.5002e+05 -2.7878e+05  5e+05  2e-16  1e-13\n",
      "15:  3.5537e+04 -4.0157e+04  8e+04  2e-16  4e-14\n",
      "16:  4.9747e+03 -5.8669e+03  1e+04  3e-16  1e-14\n",
      "17:  6.6579e+02 -8.8646e+02  2e+03  1e-16  6e-15\n",
      "18:  7.5340e+01 -1.4599e+02  2e+02  2e-16  3e-15\n",
      "19:  7.9996e-01 -2.9851e+01  3e+01  3e-16  6e-16\n",
      "20: -6.4783e+00 -9.9464e+00  3e+00  1e-16  4e-16\n",
      "21: -6.8442e+00 -7.8076e+00  1e+00  1e-16  1e-16\n",
      "22: -6.9863e+00 -7.2451e+00  3e-01  2e-16  4e-17\n",
      "23: -6.9887e+00 -6.9957e+00  7e-03  2e-16  7e-17\n",
      "24: -6.9887e+00 -6.9888e+00  7e-05  2e-16  1e-16\n",
      "25: -6.9887e+00 -6.9887e+00  7e-07  2e-16  2e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  9.9856e+01 -3.2078e+06  5e+02  1e+00  1e+00\n",
      " 2:  4.3161e+02 -8.2078e+06  2e+03  1e+00  1e+00\n",
      " 3:  3.0701e+02 -1.0146e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.6788e+02 -1.0721e+08  2e+04  1e+00  1e+00\n",
      " 5:  4.4098e+02 -2.9632e+09  6e+05  1e+00  1e+00\n",
      " 6:  1.0726e+10 -7.2581e+16  7e+16  6e-13  2e-05\n",
      " 7:  1.0726e+10 -7.2583e+14  7e+14  6e-15  9e-06\n",
      " 8:  1.0725e+10 -7.2816e+12  7e+12  1e-16  1e-07\n",
      " 9:  1.0635e+10 -9.5905e+10  1e+11  1e-16  2e-09\n",
      "10:  6.5655e+09 -1.7122e+10  2e+10  2e-16  5e-10\n",
      "11:  1.1374e+09 -5.0298e+09  6e+09  1e-16  1e-11\n",
      "12:  2.2821e+08 -2.8926e+08  5e+08  2e-16  3e-12\n",
      "13:  3.3042e+07 -3.6844e+07  7e+07  2e-16  1e-12\n",
      "14:  4.7453e+06 -5.2778e+06  1e+07  2e-16  4e-13\n",
      "15:  6.7935e+05 -7.5333e+05  1e+06  2e-16  2e-13\n",
      "16:  9.6884e+04 -1.0829e+05  2e+05  2e-16  8e-14\n",
      "17:  1.3693e+04 -1.5700e+04  3e+04  2e-16  3e-14\n",
      "18:  1.8873e+03 -2.3232e+03  4e+03  2e-16  1e-14\n",
      "19:  2.3991e+02 -3.6233e+02  6e+02  2e-16  5e-15\n",
      "20:  2.0537e+01 -6.4685e+01  9e+01  2e-16  1e-15\n",
      "21: -4.8567e+00 -1.6042e+01  1e+01  2e-16  7e-16\n",
      "22: -6.7488e+00 -8.1606e+00  1e+00  1e-16  2e-16\n",
      "23: -6.9929e+00 -7.5664e+00  6e-01  4e-16  8e-17\n",
      "24: -7.0057e+00 -7.0323e+00  3e-02  7e-17  9e-17\n",
      "25: -7.0059e+00 -7.0062e+00  3e-04  2e-16  5e-17\n",
      "26: -7.0059e+00 -7.0059e+00  3e-06  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.0298e+02 -3.6585e+06  5e+02  1e+00  1e+00\n",
      " 2:  4.1771e+02 -8.8956e+06  2e+03  1e+00  1e+00\n",
      " 3:  5.0614e+02 -1.2272e+07  2e+03  1e+00  1e+00\n",
      " 4:  1.7956e+01 -7.5893e+07  2e+04  1e+00  1e+00\n",
      " 5:  6.9054e+01 -2.9138e+08  6e+04  1e+00  1e+00\n",
      " 6:  1.1461e+02 -3.0165e+09  6e+05  1e+00  1e+00\n",
      " 7:  1.7172e+02 -4.1663e+11  9e+07  1e+00  1e+00\n",
      " 8:  4.3307e+09 -9.7419e+18  1e+19  8e-13  2e-03\n",
      " 9:  4.3307e+09 -9.7419e+16  1e+17  8e-15  1e-03\n",
      "10:  4.3307e+09 -9.7422e+14  1e+15  1e-16  2e-05\n",
      "11:  4.3305e+09 -9.7696e+12  1e+13  2e-16  2e-07\n",
      "12:  4.3112e+09 -1.2509e+11  1e+11  2e-16  3e-09\n",
      "13:  3.4299e+09 -2.5416e+10  3e+10  2e-16  1e-08\n",
      "14:  1.4392e+09 -2.2951e+10  2e+10  1e-16  6e-09\n",
      "15:  4.8684e+08 -1.5172e+09  2e+09  2e-16  4e-10\n",
      "16:  7.7587e+07 -9.3702e+07  2e+08  1e-16  5e-12\n",
      "17:  1.1172e+07 -1.2496e+07  2e+07  2e-16  1e-12\n",
      "18:  1.6021e+06 -1.7801e+06  3e+06  2e-16  3e-13\n",
      "19:  2.2898e+05 -2.5487e+05  5e+05  2e-16  6e-14\n",
      "20:  3.2527e+04 -3.6768e+04  7e+04  1e-16  5e-14\n",
      "21:  4.5481e+03 -5.3785e+03  1e+04  3e-16  2e-14\n",
      "22:  6.0667e+02 -8.1456e+02  1e+03  2e-16  8e-15\n",
      "23:  6.7644e+01 -1.3492e+02  2e+02  2e-16  2e-15\n",
      "24: -1.9890e-02 -2.7982e+01  3e+01  2e-16  8e-16\n",
      "25: -6.5331e+00 -9.6216e+00  3e+00  2e-16  2e-16\n",
      "26: -6.9338e+00 -7.5874e+00  7e-01  2e-16  1e-16\n",
      "27: -7.0190e+00 -7.1501e+00  1e-01  2e-16  9e-17\n",
      "28: -7.0247e+00 -7.0296e+00  5e-03  2e-16  1e-16\n",
      "29: -7.0247e+00 -7.0248e+00  6e-05  1e-16  6e-17\n",
      "30: -7.0247e+00 -7.0247e+00  6e-07  1e-16  8e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  1.0798e+02 -4.1076e+06  6e+02  1e+00  1e+00\n",
      " 2:  4.5399e+02 -1.0110e+07  2e+03  1e+00  1e+00\n",
      " 3:  5.8591e+02 -1.4036e+07  3e+03  1e+00  1e+00\n",
      " 4:  3.4419e+02 -2.6918e+07  5e+03  1e+00  1e+00\n",
      " 5:  5.8965e+02 -2.7065e+08  5e+04  1e+00  1e+00\n",
      " 6:  1.0665e+02 -4.2005e+10  9e+06  1e+00  1e+00\n",
      " 7:  8.0096e+01 -9.1296e+13  3e+10  1e+00  1e+00\n",
      " 8:  4.3864e+09 -1.0110e+21  1e+21  3e-13  2e-01\n",
      " 9:  4.3864e+09 -1.0110e+19  1e+19  3e-15  1e-01\n",
      "10:  4.3864e+09 -1.0110e+17  1e+17  2e-16  1e-03\n",
      "11:  4.3864e+09 -1.0110e+15  1e+15  2e-16  1e-05\n",
      "12:  4.3862e+09 -1.0145e+13  1e+13  2e-16  1e-07\n",
      "13:  4.3657e+09 -1.3581e+11  1e+11  1e-16  2e-09\n",
      "14:  3.6118e+09 -3.2824e+10  4e+10  1e-16  5e-10\n",
      "15:  1.4448e+09 -3.5290e+10  4e+10  2e-16  4e-10\n",
      "16:  5.8667e+08 -1.8464e+09  2e+09  2e-16  3e-11\n",
      "17:  9.4831e+07 -1.1653e+08  2e+08  2e-16  2e-12\n",
      "18:  1.3647e+07 -1.5221e+07  3e+07  2e-16  8e-13\n",
      "19:  1.9573e+06 -2.1737e+06  4e+06  2e-16  4e-13\n",
      "20:  2.7982e+05 -3.1112e+05  6e+05  2e-16  8e-14\n",
      "21:  3.9782e+04 -4.4854e+04  8e+04  2e-16  4e-14\n",
      "22:  5.5759e+03 -6.5486e+03  1e+04  3e-16  2e-14\n",
      "23:  7.4945e+02 -9.8673e+02  2e+03  2e-16  9e-15\n",
      "24:  8.6405e+01 -1.6129e+02  2e+02  2e-16  2e-15\n",
      "25:  2.0546e+00 -3.2373e+01  3e+01  2e-16  9e-16\n",
      "26: -6.3915e+00 -1.0384e+01  4e+00  2e-16  2e-16\n",
      "27: -6.8241e+00 -8.1418e+00  1e+00  1e-16  1e-16\n",
      "28: -7.0193e+00 -7.4135e+00  4e-01  1e-16  1e-16\n",
      "29: -7.0352e+00 -7.0680e+00  3e-02  2e-16  8e-17\n",
      "30: -7.0357e+00 -7.0361e+00  5e-04  2e-16  7e-17\n",
      "31: -7.0357e+00 -7.0357e+00  5e-06  2e-16  6e-17\n",
      "Optimal solution found.\n",
      "processing  WHQ_H.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  9.4835e+01 -1.0895e+06  2e+02  1e+00  1e+00\n",
      " 2:  8.4391e+00 -2.8573e+06  8e+02  1e+00  1e+00\n",
      " 3:  4.8857e+01 -9.0905e+07  2e+04  1e+00  1e+00\n",
      " 4:  9.3309e+01 -3.4601e+10  8e+06  1e+00  1e+00\n",
      " 5:  6.7061e+05 -7.3509e+17  7e+17  5e-13  7e-04\n",
      " 6:  6.7061e+05 -7.3509e+15  7e+15  5e-15  3e-04\n",
      " 7:  6.7061e+05 -7.3509e+13  7e+13  4e-16  3e-06\n",
      " 8:  6.7061e+05 -7.3509e+11  7e+11  9e-17  7e-08\n",
      " 9:  6.7016e+05 -7.3526e+09  7e+09  2e-16  4e-10\n",
      "10:  6.2800e+05 -7.5054e+07  8e+07  1e-16  3e-12\n",
      "11:  1.4298e+05 -9.6222e+05  1e+06  2e-16  3e-14\n",
      "12:  2.0885e+04 -3.0187e+04  5e+04  3e-16  8e-15\n",
      "13:  2.8826e+03 -3.4262e+03  6e+03  1e-16  8e-15\n",
      "14:  3.7329e+02 -5.4062e+02  9e+02  1e-16  2e-15\n",
      "15:  3.5554e+01 -9.3859e+01  1e+02  3e-16  4e-15\n",
      "16: -4.8910e+00 -2.2091e+01  2e+01  2e-16  7e-16\n",
      "17: -8.5070e+00 -1.1011e+01  3e+00  4e-16  2e-16\n",
      "18: -8.9757e+00 -9.2740e+00  3e-01  2e-16  9e-17\n",
      "19: -8.9860e+00 -8.9919e+00  6e-03  2e-16  1e-16\n",
      "20: -8.9860e+00 -8.9861e+00  6e-05  3e-16  2e-16\n",
      "21: -8.9860e+00 -8.9860e+00  6e-07  3e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  1.1254e+02 -1.6302e+06  3e+02  1e+00  1e+00\n",
      " 2:  9.7098e+01 -2.3642e+06  4e+02  1e+00  1e+00\n",
      " 3:  5.0632e+01 -1.3770e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.3316e+02 -1.6579e+08  3e+04  1e+00  1e+00\n",
      " 5:  3.8663e+01 -2.2559e+11  6e+07  1e+00  1e+00\n",
      " 6:  1.7264e+09 -3.4314e+18  3e+18  3e-13  3e-03\n",
      " 7:  1.7264e+09 -3.4314e+16  3e+16  3e-15  9e-04\n",
      " 8:  1.7264e+09 -3.4315e+14  3e+14  1e-16  2e-05\n",
      " 9:  1.7264e+09 -3.4403e+12  3e+12  2e-16  2e-07\n",
      "10:  1.7259e+09 -4.3277e+10  5e+10  2e-16  2e-09\n",
      "11:  1.6872e+09 -9.0750e+09  1e+10  3e-16  4e-10\n",
      "12:  2.4937e+07 -1.3376e+10  1e+10  3e-16  4e-10\n",
      "13:  1.8454e+07 -1.8797e+08  2e+08  1e-16  7e-12\n",
      "14:  3.1286e+06 -5.4876e+06  9e+06  2e-16  7e-13\n",
      "15:  4.5230e+05 -4.9267e+05  9e+05  3e-16  2e-13\n",
      "16:  6.4434e+04 -7.2654e+04  1e+05  2e-16  5e-14\n",
      "17:  9.0625e+03 -1.0543e+04  2e+04  4e-16  1e-14\n",
      "18:  1.2305e+03 -1.5774e+03  3e+03  3e-16  9e-15\n",
      "19:  1.4757e+02 -2.5329e+02  4e+02  1e-16  3e-15\n",
      "20:  7.1397e+00 -4.8855e+01  6e+01  9e-17  1e-15\n",
      "21: -7.9996e+00 -1.4728e+01  7e+00  9e-17  2e-16\n",
      "22: -9.1805e+00 -9.9815e+00  8e-01  1e-16  2e-16\n",
      "23: -9.2704e+00 -9.3264e+00  6e-02  3e-16  1e-16\n",
      "24: -9.2723e+00 -9.2732e+00  9e-04  3e-16  2e-16\n",
      "25: -9.2723e+00 -9.2723e+00  9e-06  9e-17  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.2545e+02 -2.2867e+06  4e+02  1e+00  1e+00\n",
      " 2:  1.6523e+02 -3.4730e+06  6e+02  1e+00  1e+00\n",
      " 3:  9.1356e+01 -1.3799e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.3799e+02 -8.2634e+07  2e+04  1e+00  1e+00\n",
      " 5:  2.3178e+02 -1.4047e+10  3e+06  1e+00  1e+00\n",
      " 6:  3.3667e+07 -3.2512e+17  3e+17  5e-13  5e-05\n",
      " 7:  3.3667e+07 -3.2512e+15  3e+15  5e-15  6e-05\n",
      " 8:  3.3667e+07 -3.2512e+13  3e+13  1e-16  1e-06\n",
      " 9:  3.3661e+07 -3.2530e+11  3e+11  2e-16  1e-08\n",
      "10:  3.3077e+07 -3.4296e+09  3e+09  3e-16  2e-10\n",
      "11:  1.3454e+07 -9.1520e+07  1e+08  2e-16  4e-12\n",
      "12:  2.1022e+06 -3.3655e+06  5e+06  1e-16  6e-13\n",
      "13:  2.9937e+05 -3.2433e+05  6e+05  2e-16  1e-13\n",
      "14:  4.2592e+04 -4.8300e+04  9e+04  2e-16  5e-14\n",
      "15:  5.9640e+03 -7.0277e+03  1e+04  1e-16  4e-15\n",
      "16:  7.9857e+02 -1.0615e+03  2e+03  1e-16  6e-15\n",
      "17:  9.0352e+01 -1.7471e+02  3e+02  3e-16  9e-16\n",
      "18:  7.5475e-01 -3.5823e+01  4e+01  2e-16  8e-16\n",
      "19: -7.9703e+00 -1.4164e+01  6e+00  2e-16  3e-16\n",
      "20: -9.4664e+00 -1.1978e+01  3e+00  3e-16  1e-16\n",
      "21: -9.5742e+00 -9.7920e+00  2e-01  1e-16  1e-16\n",
      "22: -9.5774e+00 -9.5803e+00  3e-03  1e-16  1e-16\n",
      "23: -9.5774e+00 -9.5775e+00  3e-05  2e-16  3e-17\n",
      "24: -9.5774e+00 -9.5774e+00  3e-07  1e-16  6e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.3736e+02 -3.0002e+06  5e+02  1e+00  1e+00\n",
      " 2:  2.4863e+02 -5.0725e+06  9e+02  1e+00  1e+00\n",
      " 3:  2.3437e+02 -7.9455e+06  2e+03  1e+00  1e+00\n",
      " 4:  3.1564e+01 -1.1144e+08  2e+04  1e+00  1e+00\n",
      " 5:  8.3368e+01 -1.4125e+09  3e+05  1e+00  1e+00\n",
      " 6:  1.3069e+02 -3.6822e+11  8e+07  1e+00  1e+00\n",
      " 7:  1.8721e+09 -8.1669e+18  8e+18  5e-13  2e-03\n",
      " 8:  1.8721e+09 -8.1669e+16  8e+16  5e-15  1e-03\n",
      " 9:  1.8721e+09 -8.1671e+14  8e+14  2e-16  2e-05\n",
      "10:  1.8721e+09 -8.1841e+12  8e+12  2e-16  3e-07\n",
      "11:  1.8700e+09 -9.8861e+10  1e+11  1e-16  4e-09\n",
      "12:  1.7304e+09 -1.6814e+10  2e+10  1e-16  5e-09\n",
      "13:  2.0875e+08 -1.6464e+10  2e+10  1e-16  3e-09\n",
      "14:  1.0125e+08 -4.3504e+08  5e+08  2e-16  9e-11\n",
      "15:  1.6259e+07 -2.0942e+07  4e+07  2e-16  1e-12\n",
      "16:  2.3293e+06 -2.5588e+06  5e+06  3e-16  3e-13\n",
      "17:  3.3308e+05 -3.7145e+05  7e+05  1e-16  1e-13\n",
      "18:  4.7324e+04 -5.3482e+04  1e+05  2e-16  5e-14\n",
      "19:  6.6198e+03 -7.8213e+03  1e+04  2e-16  1e-14\n",
      "20:  8.8405e+02 -1.1836e+03  2e+03  1e-16  3e-15\n",
      "21:  9.9101e+01 -1.9564e+02  3e+02  1e-16  2e-15\n",
      "22:  3.7264e-01 -4.0369e+01  4e+01  2e-16  8e-16\n",
      "23: -9.1620e+00 -1.3712e+01  5e+00  2e-16  3e-16\n",
      "24: -9.6369e+00 -1.0456e+01  8e-01  2e-16  8e-17\n",
      "25: -9.7065e+00 -9.7812e+00  7e-02  2e-16  6e-17\n",
      "26: -9.7069e+00 -9.7077e+00  8e-04  3e-16  8e-17\n",
      "27: -9.7069e+00 -9.7069e+00  8e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.4444e+02 -3.6866e+06  6e+02  1e+00  1e+00\n",
      " 2:  3.6191e+02 -7.1866e+06  1e+03  1e+00  1e+00\n",
      " 3:  3.3157e+02 -9.7225e+06  2e+03  1e+00  1e+00\n",
      " 4:  1.5077e+01 -1.2219e+08  2e+04  1e+00  1e+00\n",
      " 5:  4.1929e+01 -1.0053e+09  2e+05  1e+00  1e+00\n",
      " 6:  1.0505e+02 -7.3992e+10  2e+07  1e+00  1e+00\n",
      " 7:  2.6526e+09 -1.7695e+18  2e+18  6e-13  3e-04\n",
      " 8:  2.6525e+09 -1.7695e+16  2e+16  5e-15  2e-04\n",
      " 9:  2.6525e+09 -1.7697e+14  2e+14  2e-16  3e-06\n",
      "10:  2.6519e+09 -1.7826e+12  2e+12  2e-16  3e-08\n",
      "11:  2.5932e+09 -3.0541e+10  3e+10  2e-16  5e-10\n",
      "12:  9.9011e+08 -3.5983e+09  5e+09  2e-16  8e-09\n",
      "13:  1.5509e+08 -2.2252e+08  4e+08  1e-16  3e-12\n",
      "14:  2.2646e+07 -2.5220e+07  5e+07  2e-16  6e-13\n",
      "15:  3.2543e+06 -3.6458e+06  7e+06  3e-16  4e-13\n",
      "16:  4.6562e+05 -5.1832e+05  1e+06  2e-16  1e-13\n",
      "17:  6.6260e+04 -7.4615e+04  1e+05  2e-16  3e-14\n",
      "18:  9.3060e+03 -1.0871e+04  2e+04  1e-16  1e-14\n",
      "19:  1.2583e+03 -1.6310e+03  3e+03  2e-16  5e-15\n",
      "20:  1.4872e+02 -2.6376e+02  4e+02  1e-16  2e-15\n",
      "21:  6.0377e+00 -5.1563e+01  6e+01  2e-16  7e-16\n",
      "22: -8.7463e+00 -1.5647e+01  7e+00  1e-16  3e-16\n",
      "23: -9.5618e+00 -1.1226e+01  2e+00  7e-17  8e-17\n",
      "24: -9.8222e+00 -1.0320e+01  5e-01  2e-16  8e-17\n",
      "25: -9.8311e+00 -9.8434e+00  1e-02  9e-17  7e-17\n",
      "26: -9.8312e+00 -9.8313e+00  1e-04  3e-16  1e-16\n",
      "27: -9.8312e+00 -9.8312e+00  1e-06  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.6584e+02 -4.6287e+06  7e+02  1e+00  1e+00\n",
      " 2:  4.8976e+02 -9.5714e+06  2e+03  1e+00  1e+00\n",
      " 3:  4.0554e+02 -1.2197e+07  2e+03  1e+00  1e+00\n",
      " 4:  4.0898e+01 -1.3498e+08  3e+04  1e+00  1e+00\n",
      " 5:  2.8409e+02 -1.6061e+09  3e+05  1e+00  1e+00\n",
      " 6:  5.0619e+02 -1.5868e+12  4e+08  1e+00  1e+00\n",
      " 7:  2.2874e+08 -2.7128e+19  3e+19  3e-13  4e-03\n",
      " 8:  2.2874e+08 -2.7128e+17  3e+17  3e-15  1e-03\n",
      " 9:  2.2874e+08 -2.7128e+15  3e+15  2e-16  2e-05\n",
      "10:  2.2874e+08 -2.7131e+13  3e+13  2e-16  5e-07\n",
      "11:  2.2855e+08 -2.7406e+11  3e+11  2e-16  7e-09\n",
      "12:  2.1076e+08 -5.2716e+09  5e+09  2e-16  1e-10\n",
      "13:  4.7749e+07 -2.5724e+08  3e+08  2e-16  3e-11\n",
      "14:  7.1307e+06 -9.4721e+06  2e+07  3e-16  5e-13\n",
      "15:  1.0208e+06 -1.1296e+06  2e+06  1e-16  2e-13\n",
      "16:  1.4582e+05 -1.6353e+05  3e+05  2e-16  4e-14\n",
      "17:  2.0645e+04 -2.3601e+04  4e+04  2e-16  2e-14\n",
      "18:  2.8571e+03 -3.4793e+03  6e+03  2e-16  2e-14\n",
      "19:  3.6796e+02 -5.3831e+02  9e+02  1e-16  6e-15\n",
      "20:  3.4043e+01 -9.4328e+01  1e+02  2e-16  1e-15\n",
      "21: -5.5797e+00 -2.2547e+01  2e+01  2e-16  6e-16\n",
      "22: -8.9561e+00 -1.2101e+01  3e+00  2e-16  1e-16\n",
      "23: -9.8099e+00 -1.1420e+01  2e+00  2e-16  1e-16\n",
      "24: -9.8899e+00 -1.0006e+01  1e-01  1e-16  1e-16\n",
      "25: -9.8938e+00 -9.8966e+00  3e-03  2e-16  1e-16\n",
      "26: -9.8938e+00 -9.8938e+00  3e-05  1e-16  1e-16\n",
      "27: -9.8938e+00 -9.8938e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.7008e+02 -5.3579e+06  8e+02  1e+00  1e+00\n",
      " 2:  6.5971e+02 -1.2645e+07  2e+03  1e+00  1e+00\n",
      " 3:  5.3779e+02 -1.5269e+07  3e+03  1e+00  1e+00\n",
      " 4:  1.4413e+01 -1.5628e+08  3e+04  1e+00  1e+00\n",
      " 5:  1.7231e+02 -1.3541e+09  3e+05  1e+00  1e+00\n",
      " 6:  3.0400e+02 -1.5251e+11  3e+07  1e+00  1e+00\n",
      " 7:  3.4663e+09 -3.5922e+18  4e+18  6e-13  5e-04\n",
      " 8:  3.4663e+09 -3.5922e+16  4e+16  6e-15  4e-04\n",
      " 9:  3.4663e+09 -3.5925e+14  4e+14  8e-17  5e-06\n",
      "10:  3.4660e+09 -3.6219e+12  4e+12  2e-16  8e-08\n",
      "11:  3.4334e+09 -6.5514e+10  7e+10  2e-16  2e-09\n",
      "12:  2.5034e+09 -2.1116e+10  2e+10  2e-16  6e-10\n",
      "13:  6.0249e+08 -6.5947e+09  7e+09  3e-16  1e-11\n",
      "14:  1.2793e+08 -2.7957e+08  4e+08  1e-16  2e-12\n",
      "15:  1.9016e+07 -2.1148e+07  4e+07  2e-16  1e-12\n",
      "16:  2.7283e+06 -3.0389e+06  6e+06  3e-16  3e-13\n",
      "17:  3.9006e+05 -4.3400e+05  8e+05  2e-16  1e-13\n",
      "18:  5.5447e+04 -6.2568e+04  1e+05  2e-16  3e-14\n",
      "19:  7.7674e+03 -9.1379e+03  2e+04  2e-16  2e-14\n",
      "20:  1.0422e+03 -1.3785e+03  2e+03  1e-16  4e-15\n",
      "21:  1.1930e+02 -2.2599e+02  3e+02  3e-16  3e-15\n",
      "22:  2.2605e+00 -4.5681e+01  5e+01  2e-16  8e-16\n",
      "23: -9.3159e+00 -1.4839e+01  6e+00  1e-16  3e-16\n",
      "24: -9.8573e+00 -1.0817e+01  1e+00  2e-16  1e-16\n",
      "25: -9.9491e+00 -1.0085e+01  1e-01  2e-16  8e-17\n",
      "26: -9.9518e+00 -9.9545e+00  3e-03  1e-16  1e-16\n",
      "27: -9.9518e+00 -9.9518e+00  3e-05  1e-16  9e-17\n",
      "28: -9.9518e+00 -9.9518e+00  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  2.3890e+02 -7.2181e+06  1e+03  1e+00  1e+00\n",
      " 2:  5.6890e+02 -1.2751e+07  2e+03  1e+00  1e+00\n",
      " 3:  8.0532e+02 -1.7891e+07  3e+03  1e+00  1e+00\n",
      " 4:  4.0655e+02 -3.7027e+07  7e+03  1e+00  1e+00\n",
      " 5:  7.4202e+02 -3.6417e+08  7e+04  1e+00  1e+00\n",
      " 6:  4.4244e+02 -4.1131e+10  8e+06  1e+00  1e+00\n",
      " 7:  2.8720e+09 -9.7031e+17  1e+18  3e-13  1e-04\n",
      " 8:  2.8720e+09 -9.7031e+15  1e+16  3e-15  7e-05\n",
      " 9:  2.8720e+09 -9.7067e+13  1e+14  2e-16  7e-07\n",
      "10:  2.8713e+09 -1.0066e+12  1e+12  1e-16  9e-09\n",
      "11:  2.8087e+09 -4.5693e+10  5e+10  2e-16  5e-10\n",
      "12:  1.4155e+09 -2.9351e+10  3e+10  1e-16  1e-10\n",
      "13:  4.6743e+08 -1.1940e+09  2e+09  2e-16  7e-12\n",
      "14:  7.2259e+07 -8.1749e+07  2e+08  2e-16  1e-12\n",
      "15:  1.0388e+07 -1.1608e+07  2e+07  1e-16  5e-13\n",
      "16:  1.4882e+06 -1.6510e+06  3e+06  2e-16  2e-13\n",
      "17:  2.1247e+05 -2.3696e+05  4e+05  1e-16  5e-14\n",
      "18:  3.0108e+04 -3.4266e+04  6e+04  3e-16  3e-14\n",
      "19:  4.1813e+03 -5.0404e+03  9e+03  3e-16  1e-14\n",
      "20:  5.4554e+02 -7.7424e+02  1e+03  2e-16  5e-15\n",
      "21:  5.4581e+01 -1.3296e+02  2e+02  2e-16  1e-15\n",
      "22: -4.7285e+00 -3.0083e+01  3e+01  1e-16  6e-16\n",
      "23: -9.7530e+00 -1.2197e+01  2e+00  3e-16  1e-16\n",
      "24: -9.9532e+00 -1.0554e+01  6e-01  2e-16  1e-16\n",
      "25: -9.9880e+00 -1.0031e+01  4e-02  2e-16  1e-16\n",
      "26: -9.9882e+00 -9.9887e+00  5e-04  2e-16  9e-17\n",
      "27: -9.9882e+00 -9.9882e+00  5e-06  2e-16  7e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  2.4047e+02 -8.0617e+06  1e+03  1e+00  1e+00\n",
      " 2:  7.7155e+02 -1.6671e+07  3e+03  1e+00  1e+00\n",
      " 3:  9.9553e+02 -2.2941e+07  4e+03  1e+00  1e+00\n",
      " 4:  4.3805e+02 -4.7873e+07  9e+03  1e+00  1e+00\n",
      " 5:  5.1050e+02 -1.2427e+08  2e+04  1e+00  1e+00\n",
      " 6:  5.9778e+02 -1.7349e+09  3e+05  1e+00  1e+00\n",
      " 7:  6.2309e+01 -1.8405e+13  1e+10  1e+00  1e+00\n",
      " 8:  3.4074e+09 -4.5881e+19  5e+19  1e-13  6e-03\n",
      " 9:  3.4074e+09 -4.5881e+17  5e+17  1e-15  3e-03\n",
      "10:  3.4074e+09 -4.5882e+15  5e+15  2e-16  4e-05\n",
      "11:  3.4073e+09 -4.5912e+13  5e+13  1e-16  5e-07\n",
      "12:  3.4018e+09 -4.8956e+11  5e+11  2e-16  5e-09\n",
      "13:  2.9751e+09 -3.2297e+10  4e+10  1e-16  3e-07\n",
      "14:  8.4667e+08 -5.7115e+09  7e+09  1e-16  2e-10\n",
      "15:  1.6321e+08 -2.4261e+08  4e+08  2e-16  7e-12\n",
      "16:  2.3724e+07 -2.5823e+07  5e+07  2e-16  9e-13\n",
      "17:  3.4032e+06 -3.7855e+06  7e+06  2e-16  3e-13\n",
      "18:  4.8659e+05 -5.4039e+05  1e+06  2e-16  2e-13\n",
      "19:  6.9224e+04 -7.7893e+04  1e+05  2e-16  4e-14\n",
      "20:  9.7206e+03 -1.1355e+04  2e+04  1e-16  2e-14\n",
      "21:  1.3141e+03 -1.7042e+03  3e+03  1e-16  8e-15\n",
      "22:  1.5522e+02 -2.7570e+02  4e+02  1e-16  3e-15\n",
      "23:  6.2550e+00 -5.3932e+01  6e+01  2e-16  7e-16\n",
      "24: -9.1490e+00 -1.6371e+01  7e+00  2e-16  3e-16\n",
      "25: -9.9621e+00 -1.0703e+01  7e-01  2e-16  1e-16\n",
      "26: -1.0032e+01 -1.0121e+01  9e-02  1e-16  9e-17\n",
      "27: -1.0032e+01 -1.0034e+01  1e-03  1e-16  1e-16\n",
      "28: -1.0032e+01 -1.0032e+01  1e-05  3e-16  8e-17\n",
      "29: -1.0032e+01 -1.0032e+01  1e-07  1e-16  8e-17\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  WHQMEC_H.csv\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -2.0000e+04  4e+00  1e+00  1e+00\n",
      " 1:  6.7755e+00 -1.2395e+05  2e+01  1e+00  1e+00\n",
      " 2:  1.1003e+00 -5.7234e+06  1e+03  1e+00  1e+00\n",
      " 3:  4.6024e+00 -8.9494e+09  2e+06  1e+00  1e+00\n",
      " 4:  4.4456e+06 -1.2764e+17  1e+17  1e-13  2e-03\n",
      " 5:  4.4456e+06 -1.2764e+15  1e+15  1e-15  6e-04\n",
      " 6:  4.4456e+06 -1.2764e+13  1e+13  2e-16  5e-06\n",
      " 7:  4.4455e+06 -1.2765e+11  1e+11  3e-16  5e-08\n",
      " 8:  4.4338e+06 -1.2894e+09  1e+09  8e-17  2e-10\n",
      " 9:  3.5203e+06 -2.3003e+07  3e+07  1e-16  9e-12\n",
      "10:  6.1717e+05 -1.0101e+06  2e+06  1e-16  1e-13\n",
      "11:  8.8408e+04 -9.5994e+04  2e+05  2e-16  3e-13\n",
      "12:  1.2652e+04 -1.4187e+04  3e+04  2e-16  3e-14\n",
      "13:  1.7963e+03 -2.0378e+03  4e+03  2e-16  8e-15\n",
      "14:  2.5050e+02 -2.9877e+02  5e+02  2e-16  4e-15\n",
      "15:  3.3079e+01 -4.5534e+01  8e+01  2e-16  2e-15\n",
      "16:  3.5003e+00 -7.6801e+00  1e+01  2e-16  2e-15\n",
      "17: -1.5796e-01 -1.6793e+00  2e+00  6e-17  8e-16\n",
      "18: -5.0224e-01 -6.9727e-01  2e-01  3e-16  2e-16\n",
      "19: -5.2429e-01 -5.3621e-01  1e-02  2e-16  8e-17\n",
      "20: -5.2440e-01 -5.2452e-01  1e-04  2e-16  4e-17\n",
      "21: -5.2440e-01 -5.2440e-01  1e-06  1e-16  5e-17\n",
      "22: -5.2440e-01 -5.2440e-01  1e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -3.0000e+04  6e+00  1e+00  1e+00\n",
      " 1:  7.9659e+00 -1.6915e+05  3e+01  1e+00  1e+00\n",
      " 2:  2.0710e+00 -2.1115e+06  4e+02  1e+00  1e+00\n",
      " 3:  7.2159e+00 -8.0144e+08  2e+05  1e+00  1e+00\n",
      " 4:  5.0199e+06 -1.7290e+16  2e+16  2e-13  8e-05\n",
      " 5:  5.0199e+06 -1.7290e+14  2e+14  3e-15  2e-05\n",
      " 6:  5.0199e+06 -1.7290e+12  2e+12  1e-16  8e-07\n",
      " 7:  5.0183e+06 -1.7316e+10  2e+10  2e-16  8e-09\n",
      " 8:  4.8637e+06 -1.9844e+08  2e+08  1e-16  7e-11\n",
      " 9:  1.5610e+06 -7.1056e+06  9e+06  9e-17  3e-12\n",
      "10:  2.4192e+05 -3.1286e+05  6e+05  8e-17  3e-13\n",
      "11:  3.4641e+04 -3.8114e+04  7e+04  1e-16  2e-13\n",
      "12:  4.9499e+03 -5.5347e+03  1e+04  2e-16  5e-14\n",
      "13:  7.0144e+02 -7.9898e+02  2e+03  2e-16  8e-15\n",
      "14:  9.7193e+01 -1.1772e+02  2e+02  2e-16  1e-14\n",
      "15:  1.2453e+01 -1.8260e+01  3e+01  1e-16  6e-16\n",
      "16:  1.0064e+00 -3.3145e+00  4e+00  3e-16  6e-16\n",
      "17: -4.0611e-01 -9.6882e-01  6e-01  2e-16  1e-16\n",
      "18: -5.5514e-01 -6.2111e-01  7e-02  7e-17  2e-16\n",
      "19: -5.6530e-01 -5.7036e-01  5e-03  3e-16  7e-17\n",
      "20: -5.6542e-01 -5.6548e-01  6e-05  3e-16  9e-17\n",
      "21: -5.6542e-01 -5.6542e-01  6e-07  1e-16  4e-17\n",
      "22: -5.6542e-01 -5.6542e-01  6e-09  3e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/sklearn/preprocessing/_encoders.py:415: FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values.\n",
      "If you want the future behaviour and silence this warning, you can specify \"categories='auto'\".\n",
      "In case you used a LabelEncoder before this OneHotEncoder to convert the categories to integers, then you can now use the OneHotEncoder directly.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2111: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'x' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2116: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 's' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2131: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'y' in initvals:\n",
      "/home/vijay/anaconda3/envs/aix360/lib/python3.6/site-packages/cvxopt/coneprog.py:2136: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if 'z' in initvals:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -4.0000e+04  8e+00  1e+00  1e+00\n",
      " 1:  1.0129e+01 -2.3121e+05  4e+01  1e+00  1e+00\n",
      " 2:  1.6589e+00 -2.1810e+06  4e+02  1e+00  1e+00\n",
      " 3:  4.3384e+00 -2.9168e+07  6e+03  1e+00  1e+00\n",
      " 4:  4.8470e+00 -1.2470e+10  3e+06  1e+00  1e+00\n",
      " 5:  6.3656e+07 -2.6197e+17  3e+17  4e-13  8e-04\n",
      " 6:  6.3656e+07 -2.6197e+15  3e+15  4e-15  5e-04\n",
      " 7:  6.3656e+07 -2.6197e+13  3e+13  2e-16  7e-06\n",
      " 8:  6.3654e+07 -2.6233e+11  3e+11  2e-16  1e-07\n",
      " 9:  6.3415e+07 -2.9835e+09  3e+09  1e-16  1e-09\n",
      "10:  4.7143e+07 -2.8979e+08  3e+08  2e-16  3e-10\n",
      "11:  8.2295e+06 -2.3684e+07  3e+07  1e-16  2e-11\n",
      "12:  1.3814e+06 -1.7240e+06  3e+06  2e-16  9e-13\n",
      "13:  1.9893e+05 -2.2235e+05  4e+05  2e-16  5e-13\n",
      "14:  2.8504e+04 -3.1799e+04  6e+04  1e-16  7e-14\n",
      "15:  4.0623e+03 -4.5619e+03  9e+03  2e-16  7e-14\n",
      "16:  5.7244e+02 -6.6268e+02  1e+03  2e-16  1e-14\n",
      "17:  7.8123e+01 -9.8739e+01  2e+02  1e-16  6e-15\n",
      "18:  9.5371e+00 -1.5713e+01  3e+01  2e-16  3e-15\n",
      "19:  5.4195e-01 -2.9855e+00  4e+00  1e-16  5e-16\n",
      "20: -4.6537e-01 -9.9843e-01  5e-01  1e-16  1e-16\n",
      "21: -5.7421e-01 -6.3508e-01  6e-02  1e-16  1e-16\n",
      "22: -5.7759e-01 -5.8008e-01  2e-03  5e-17  2e-16\n",
      "23: -5.7760e-01 -5.7763e-01  3e-05  9e-17  2e-16\n",
      "24: -5.7760e-01 -5.7760e-01  3e-07  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -5.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.1740e+01 -2.8411e+05  6e+01  1e+00  1e+00\n",
      " 2:  2.6220e+00 -2.6960e+06  6e+02  1e+00  1e+00\n",
      " 3:  5.2047e+00 -3.5825e+07  7e+03  1e+00  1e+00\n",
      " 4:  5.5176e+00 -1.5319e+10  3e+06  1e+00  1e+00\n",
      " 5:  6.8094e+07 -3.2180e+17  3e+17  5e-13  2e-03\n",
      " 6:  6.8094e+07 -3.2180e+15  3e+15  5e-15  1e-03\n",
      " 7:  6.8094e+07 -3.2180e+13  3e+13  2e-16  1e-05\n",
      " 8:  6.8091e+07 -3.2225e+11  3e+11  2e-16  1e-07\n",
      " 9:  6.7840e+07 -3.6746e+09  4e+09  2e-16  1e-09\n",
      "10:  5.0803e+07 -3.6267e+08  4e+08  1e-16  2e-10\n",
      "11:  9.7375e+06 -2.6137e+07  4e+07  1e-16  3e-11\n",
      "12:  1.6207e+06 -2.0014e+06  4e+06  8e-17  8e-13\n",
      "13:  2.3345e+05 -2.6108e+05  5e+05  2e-16  5e-13\n",
      "14:  3.3459e+04 -3.7290e+04  7e+04  1e-16  1e-13\n",
      "15:  4.7721e+03 -5.3466e+03  1e+04  1e-16  6e-14\n",
      "16:  6.7388e+02 -7.7526e+02  1e+03  3e-16  1e-14\n",
      "17:  9.2553e+01 -1.1497e+02  2e+02  2e-16  7e-15\n",
      "18:  1.1564e+01 -1.8079e+01  3e+01  2e-16  2e-15\n",
      "19:  8.1624e-01 -3.3401e+00  4e+00  2e-16  9e-16\n",
      "20: -4.2391e-01 -1.0787e+00  7e-01  9e-17  3e-16\n",
      "21: -5.7338e-01 -6.5272e-01  8e-02  2e-16  2e-16\n",
      "22: -5.8083e-01 -5.8506e-01  4e-03  3e-16  1e-16\n",
      "23: -5.8101e-01 -5.8112e-01  1e-04  4e-17  2e-16\n",
      "24: -5.8101e-01 -5.8101e-01  1e-06  1e-16  7e-17\n",
      "25: -5.8101e-01 -5.8101e-01  1e-08  1e-16  8e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -6.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.4364e+01 -3.6731e+05  7e+01  1e+00  1e+00\n",
      " 2:  5.7108e+00 -2.8930e+06  6e+02  1e+00  1e+00\n",
      " 3:  1.7842e+01 -4.1187e+07  8e+03  1e+00  1e+00\n",
      " 4:  4.8002e+00 -1.0596e+11  3e+07  1e+00  1e+00\n",
      " 5:  2.1791e+08 -1.1399e+18  1e+18  2e-13  5e-03\n",
      " 6:  2.1791e+08 -1.1399e+16  1e+16  2e-15  4e-03\n",
      " 7:  2.1791e+08 -1.1399e+14  1e+14  1e-16  4e-05\n",
      " 8:  2.1791e+08 -1.1415e+12  1e+12  2e-16  3e-07\n",
      " 9:  2.1778e+08 -1.3075e+10  1e+10  2e-16  7e-09\n",
      "10:  2.0947e+08 -1.7700e+09  2e+09  2e-16  1e-09\n",
      "11:  3.6168e+07 -2.1339e+09  2e+09  2e-16  8e-10\n",
      "12:  2.0853e+07 -1.0533e+08  1e+08  1e-16  5e-11\n",
      "13:  3.6021e+06 -5.1702e+06  9e+06  2e-16  2e-12\n",
      "14:  5.1927e+05 -5.7382e+05  1e+06  1e-16  5e-13\n",
      "15:  7.4533e+04 -8.3058e+04  2e+05  2e-16  1e-13\n",
      "16:  1.0657e+04 -1.1857e+04  2e+04  2e-16  7e-14\n",
      "17:  1.5148e+03 -1.7097e+03  3e+03  1e-16  5e-14\n",
      "18:  2.1202e+02 -2.4985e+02  5e+02  1e-16  1e-14\n",
      "19:  2.8260e+01 -3.7829e+01  7e+01  4e-16  3e-15\n",
      "20:  3.0386e+00 -6.3417e+00  9e+00  2e-16  9e-16\n",
      "21: -1.8921e-01 -1.4575e+00  1e+00  9e-17  4e-16\n",
      "22: -5.4987e-01 -7.0182e-01  2e-01  2e-16  3e-16\n",
      "23: -5.8168e-01 -5.9671e-01  2e-02  1e-16  1e-16\n",
      "24: -5.8326e-01 -5.8403e-01  8e-04  2e-16  1e-16\n",
      "25: -5.8328e-01 -5.8329e-01  1e-05  2e-16  7e-17\n",
      "26: -5.8328e-01 -5.8328e-01  1e-07  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -7.0000e+04  1e+01  1e+00  1e+00\n",
      " 1:  1.6642e+01 -4.4955e+05  8e+01  1e+00  1e+00\n",
      " 2:  1.5774e+01 -2.4534e+06  5e+02  1e+00  1e+00\n",
      " 3:  1.4657e+01 -4.3976e+07  9e+03  1e+00  1e+00\n",
      " 4:  3.9693e+00 -2.2155e+11  9e+07  1e+00  1e+00\n",
      " 5:  1.0924e+08 -1.3517e+18  1e+18  1e-13  8e-03\n",
      " 6:  1.0924e+08 -1.3517e+16  1e+16  1e-15  4e-03\n",
      " 7:  1.0924e+08 -1.3517e+14  1e+14  1e-16  4e-05\n",
      " 8:  1.0924e+08 -1.3521e+12  1e+12  2e-16  6e-07\n",
      " 9:  1.0908e+08 -1.3966e+10  1e+10  2e-16  7e-09\n",
      "10:  9.5007e+07 -5.2528e+08  6e+08  2e-16  3e-10\n",
      "11:  1.7964e+07 -3.7442e+07  6e+07  3e-16  8e-12\n",
      "12:  2.8001e+06 -3.2386e+06  6e+06  2e-16  2e-12\n",
      "13:  4.0318e+05 -4.5331e+05  9e+05  2e-16  6e-13\n",
      "14:  5.7801e+04 -6.4226e+04  1e+05  1e-16  2e-13\n",
      "15:  8.2558e+03 -9.2064e+03  2e+04  2e-16  7e-14\n",
      "16:  1.1707e+03 -1.3301e+03  3e+03  2e-16  1e-14\n",
      "17:  1.6282e+02 -1.9537e+02  4e+02  2e-16  7e-15\n",
      "18:  2.1293e+01 -2.9944e+01  5e+01  2e-16  3e-15\n",
      "19:  2.1067e+00 -5.1505e+00  7e+00  2e-16  9e-16\n",
      "20: -2.6753e-01 -1.2250e+00  1e+00  9e-17  4e-16\n",
      "21: -5.4871e-01 -7.7342e-01  2e-01  2e-16  2e-16\n",
      "22: -5.7800e-01 -6.1821e-01  4e-02  1e-16  7e-17\n",
      "23: -5.8363e-01 -5.8898e-01  5e-03  1e-16  5e-17\n",
      "24: -5.8409e-01 -5.8435e-01  3e-04  2e-16  5e-17\n",
      "25: -5.8410e-01 -5.8410e-01  4e-06  2e-16  8e-17\n",
      "26: -5.8410e-01 -5.8410e-01  4e-08  1e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -8.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.8406e+01 -5.3610e+05  1e+02  1e+00  1e+00\n",
      " 2:  2.9531e+01 -1.4567e+06  3e+02  1e+00  1e+00\n",
      " 3:  5.0641e+00 -4.4999e+07  9e+03  1e+00  1e+00\n",
      " 4:  3.4559e+00 -1.3125e+09  3e+05  1e+00  1e+00\n",
      " 5:  4.6227e+00 -1.5775e+12  4e+08  1e+00  1e+00\n",
      " 6:  7.1593e+08 -2.4870e+19  2e+19  3e-13  9e-02\n",
      " 7:  7.1593e+08 -2.4870e+17  2e+17  3e-15  5e-02\n",
      " 8:  7.1593e+08 -2.4870e+15  2e+15  1e-16  9e-04\n",
      " 9:  7.1593e+08 -2.4872e+13  2e+13  2e-16  1e-05\n",
      "10:  7.1585e+08 -2.5117e+11  3e+11  2e-16  1e-07\n",
      "11:  7.0841e+08 -4.9495e+09  6e+09  2e-16  3e-09\n",
      "12:  4.0542e+08 -1.4066e+09  2e+09  1e-16  7e-08\n",
      "13:  6.7079e+07 -4.7146e+08  5e+08  2e-16  6e-12\n",
      "14:  1.5403e+07 -2.2125e+07  4e+07  2e-16  3e-12\n",
      "15:  2.2409e+06 -2.4499e+06  5e+06  1e-16  1e-12\n",
      "16:  3.2193e+05 -3.5922e+05  7e+05  2e-16  5e-13\n",
      "17:  4.6094e+04 -5.1103e+04  1e+05  2e-16  2e-13\n",
      "18:  6.5749e+03 -7.3464e+03  1e+04  2e-16  6e-14\n",
      "19:  9.2966e+02 -1.0646e+03  2e+03  2e-16  2e-14\n",
      "20:  1.2826e+02 -1.5738e+02  3e+02  1e-16  7e-15\n",
      "21:  1.6322e+01 -2.4518e+01  4e+01  2e-16  2e-15\n",
      "22:  1.3661e+00 -4.3959e+00  6e+00  2e-16  2e-15\n",
      "23: -4.0129e-01 -1.1448e+00  7e-01  1e-16  5e-16\n",
      "24: -5.6262e-01 -6.8168e-01  1e-01  2e-16  1e-16\n",
      "25: -5.8288e-01 -5.9431e-01  1e-02  1e-16  1e-16\n",
      "26: -5.8403e-01 -5.8493e-01  9e-04  2e-16  6e-17\n",
      "27: -5.8411e-01 -5.8415e-01  4e-05  1e-16  1e-16\n",
      "28: -5.8411e-01 -5.8412e-01  2e-06  1e-16  1e-16\n",
      "29: -5.8411e-01 -5.8411e-01  4e-08  2e-16  1e-16\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -9.0000e+04  2e+01  1e+00  1e+00\n",
      " 1:  1.9904e+01 -6.2512e+05  1e+02  1e+00  1e+00\n",
      " 2:  3.9251e+01 -1.3889e+06  3e+02  1e+00  1e+00\n",
      " 3:  3.4479e+00 -2.0462e+07  4e+03  1e+00  1e+00\n",
      " 4:  1.5190e+00 -2.1967e+08  4e+04  1e+00  1e+00\n",
      " 5:  7.0006e+00 -2.8566e+10  6e+06  1e+00  1e+00\n",
      " 6:  4.1251e+08 -6.7083e+17  7e+17  5e-13  2e-03\n",
      " 7:  4.1251e+08 -6.7083e+15  7e+15  5e-15  7e-04\n",
      " 8:  4.1251e+08 -6.7085e+13  7e+13  2e-16  1e-05\n",
      " 9:  4.1248e+08 -6.7375e+11  7e+11  2e-16  2e-07\n",
      "10:  4.1000e+08 -9.6241e+09  1e+10  1e-16  3e-09\n",
      "11:  3.1947e+08 -2.5595e+09  3e+09  2e-16  1e-08\n",
      "12:  1.3094e+08 -2.0607e+09  2e+09  3e-16  5e-09\n",
      "13:  4.4601e+07 -1.0241e+08  1e+08  2e-16  3e-10\n",
      "14:  6.9000e+06 -7.8197e+06  1e+07  2e-16  4e-12\n",
      "15:  9.9309e+05 -1.1137e+06  2e+06  2e-16  1e-12\n",
      "16:  1.4242e+05 -1.5784e+05  3e+05  1e-16  4e-13\n",
      "17:  2.0368e+04 -2.2617e+04  4e+04  1e-16  1e-13\n",
      "18:  2.8985e+03 -3.2581e+03  6e+03  1e-16  4e-14\n",
      "19:  4.0731e+02 -4.7467e+02  9e+02  2e-16  2e-14\n",
      "20:  5.5139e+01 -7.1148e+01  1e+02  2e-16  6e-15\n",
      "21:  6.5036e+00 -1.1503e+01  2e+01  2e-16  3e-15\n",
      "22:  2.0487e-01 -2.2873e+00  2e+00  2e-16  7e-16\n",
      "23: -4.3538e-01 -1.0459e+00  6e-01  2e-16  2e-16\n",
      "24: -5.7094e-01 -6.7239e-01  1e-01  3e-16  7e-17\n",
      "25: -5.8271e-01 -5.9417e-01  1e-02  1e-16  7e-17\n",
      "26: -5.8399e-01 -5.8513e-01  1e-03  1e-16  1e-16\n",
      "27: -5.8415e-01 -5.8422e-01  7e-05  2e-16  7e-17\n",
      "28: -5.8416e-01 -5.8416e-01  5e-06  2e-16  1e-16\n",
      "29: -5.8416e-01 -5.8416e-01  9e-08  2e-16  9e-17\n",
      "Optimal solution found.\n",
      "     pcost       dcost       gap    pres   dres\n",
      " 0:  0.0000e+00 -1.0000e+05  2e+01  1e+00  1e+00\n",
      " 1:  2.1653e+01 -6.8925e+05  1e+02  1e+00  1e+00\n",
      " 2:  4.1416e+01 -1.5093e+06  3e+02  1e+00  1e+00\n",
      " 3:  2.3583e+00 -1.9856e+07  4e+03  1e+00  1e+00\n",
      " 4:  2.5106e+00 -1.9718e+08  4e+04  1e+00  1e+00\n",
      " 5:  1.0126e+01 -2.2843e+10  5e+06  1e+00  1e+00\n",
      " 6:  3.6421e+08 -5.3996e+17  5e+17  4e-13  2e-03\n",
      " 7:  3.6421e+08 -5.3996e+15  5e+15  4e-15  5e-04\n",
      " 8:  3.6421e+08 -5.4000e+13  5e+13  2e-16  8e-06\n",
      " 9:  3.6418e+08 -5.4308e+11  5e+11  2e-16  1e-07\n",
      "10:  3.6157e+08 -8.5034e+09  9e+09  1e-16  2e-09\n",
      "11:  2.8014e+08 -2.5807e+09  3e+09  2e-16  2e-08\n",
      "12:  1.0875e+08 -1.6821e+09  2e+09  9e-17  5e-09\n",
      "13:  3.4304e+07 -7.2797e+07  1e+08  1e-16  2e-10\n",
      "14:  5.1882e+06 -5.7380e+06  1e+07  2e-16  3e-12\n",
      "15:  7.4641e+05 -8.3714e+05  2e+06  2e-16  5e-13\n",
      "16:  1.0700e+05 -1.1855e+05  2e+05  1e-16  3e-13\n",
      "17:  1.5294e+04 -1.7002e+04  3e+04  2e-16  7e-14\n",
      "18:  2.1737e+03 -2.4521e+03  5e+03  2e-16  3e-14\n",
      "19:  3.0439e+02 -3.5828e+02  7e+02  2e-16  1e-14\n",
      "20:  4.0759e+01 -5.4105e+01  9e+01  2e-16  4e-15\n",
      "21:  4.5835e+00 -8.9216e+00  1e+01  1e-16  2e-15\n",
      "22: -1.8454e-02 -1.8666e+00  2e+00  3e-16  6e-16\n",
      "23: -4.6038e-01 -9.6022e-01  5e-01  3e-16  2e-16\n",
      "24: -5.7167e-01 -6.7095e-01  1e-01  1e-16  1e-16\n",
      "25: -5.8257e-01 -5.9290e-01  1e-02  8e-17  9e-17\n",
      "26: -5.8394e-01 -5.8503e-01  1e-03  2e-16  6e-17\n",
      "27: -5.8414e-01 -5.8422e-01  8e-05  2e-16  2e-16\n",
      "28: -5.8416e-01 -5.8416e-01  8e-06  1e-16  8e-17\n",
      "29: -5.8416e-01 -5.8416e-01  6e-07  2e-16  1e-16\n",
      "30: -5.8416e-01 -5.8416e-01  4e-08  1e-16  1e-16\n",
      "Optimal solution found.\n"
     ]
    }
   ],
   "source": [
    "# Iterate through all questionnaire datasets and find 10 prototypes for each.\n",
    "\n",
    "prototypes = {}\n",
    "\n",
    "for i in range(len(nhanes_files)):\n",
    "    \n",
    "    f = nhanes_files[i]\n",
    "    \n",
    "    print(\"processing \", f)\n",
    "    \n",
    "    # read data to pandas dataframe\n",
    "    df = nhanes.get_csv_file(f)\n",
    "    \n",
    "    # convert data to numpy\n",
    "    data = df.to_numpy()\n",
    "\n",
    "    #sort the rows by sequence numbers in 1st column \n",
    "    idx = np.argsort(data[:, 0])\n",
    "    data = data[idx, :]\n",
    "\n",
    "    # replace nan's with 0's.\n",
    "    original = data\n",
    "    original[np.isnan(original)] = 0\n",
    "\n",
    "    # delete 1st column (contains sequence numbers)\n",
    "    original = original[:, 1:]\n",
    "\n",
    "    # one hot encode all features as they are categorical\n",
    "    onehot_encoder = OneHotEncoder(sparse=False)\n",
    "    onehot_encoded = onehot_encoder.fit_transform(original)\n",
    "\n",
    "    explainer = ProtodashExplainer()\n",
    "\n",
    "    # call protodash explainer\n",
    "    # S contains indices of the selected prototypes\n",
    "    # W contains importance weights associated with the selected prototypes \n",
    "\n",
    "    (W, S, _) = explainer.explain(onehot_encoded, onehot_encoded, m=10) \n",
    "\n",
    "    prototypes[f]={}\n",
    "    prototypes[f]['W']= W\n",
    "    prototypes[f]['S']= S\n",
    "    prototypes[f]['data'] = data\n",
    "    prototypes[f]['original'] = original"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Evaluate the set of prototypical respondents from various questionaires using their income questionaire. \n",
    "\n",
    "Now that we have the prototypes for each of the questionnaires we evaluate how well the prototypes of each questionaire represent the Income questionnaire based on the objective function that protodash uses. We see below a ranked list of different questionnaires with their objective function values in ascending order. The higher a questionaire appears in the list, the better its prototypes represent the income questionaire. The values on the right indicate our objective value where lower value is better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Questionaire</th>\n",
       "      <th>Prototypes representative of Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Early Childhood</td>\n",
       "      <td>-96.119374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Physical Functioning</td>\n",
       "      <td>-95.584095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acculturation</td>\n",
       "      <td>-95.355642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Occupation</td>\n",
       "      <td>-94.541773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Physical Activity</td>\n",
       "      <td>-93.944968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Smoking - Secondhand Smoke Exposure</td>\n",
       "      <td>-93.192828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Cognitive Functioning</td>\n",
       "      <td>-93.050548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Diabetes</td>\n",
       "      <td>-91.037123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Taste &amp; Smell</td>\n",
       "      <td>-90.633807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Disability</td>\n",
       "      <td>-89.223695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Smoking - Recent Tobacco Use</td>\n",
       "      <td>-88.301850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Preventive Aspirin Use</td>\n",
       "      <td>-88.292836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kidney Conditions - Urology</td>\n",
       "      <td>-87.817576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sleep Disorders</td>\n",
       "      <td>-87.673600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Cardiovascular Health</td>\n",
       "      <td>-85.853087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Smoking - Household Smokers</td>\n",
       "      <td>-85.810029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Mental Health - Depression Screener</td>\n",
       "      <td>-85.634773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Volatile Toxicant (Subsample)</td>\n",
       "      <td>-85.580356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Alcohol Use</td>\n",
       "      <td>-84.734992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Dermatology</td>\n",
       "      <td>-84.350459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Consumer Behavior</td>\n",
       "      <td>-84.151348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Food Security</td>\n",
       "      <td>-82.770158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Immunization</td>\n",
       "      <td>-82.186599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Housing Characteristics</td>\n",
       "      <td>-81.655656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Drug Use</td>\n",
       "      <td>-81.187135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Oral Health</td>\n",
       "      <td>-78.920880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Weight History - Youth</td>\n",
       "      <td>-77.701132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Diet Behavior &amp; Nutrition</td>\n",
       "      <td>-75.799385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Weight History</td>\n",
       "      <td>-75.136794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Blood Pressure &amp; Cholesterol</td>\n",
       "      <td>-74.227317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Reproductive Health</td>\n",
       "      <td>-73.813449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Osteoporosis</td>\n",
       "      <td>-71.564695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Hepatitis</td>\n",
       "      <td>-67.553468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Creatine Kinase</td>\n",
       "      <td>-66.668884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Medical Conditions</td>\n",
       "      <td>-65.222249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Current Health Status</td>\n",
       "      <td>-44.650803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Hospital Utilization &amp; Access to Care</td>\n",
       "      <td>10.915415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Sexual Behavior</td>\n",
       "      <td>53.155908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Health Insurance</td>\n",
       "      <td>146.405667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Questionaire  Prototypes representative of Income\n",
       "0                         Early Childhood                           -96.119374\n",
       "1                    Physical Functioning                           -95.584095\n",
       "2                           Acculturation                           -95.355642\n",
       "3                              Occupation                           -94.541773\n",
       "4                       Physical Activity                           -93.944968\n",
       "5     Smoking - Secondhand Smoke Exposure                           -93.192828\n",
       "6                   Cognitive Functioning                           -93.050548\n",
       "7                                Diabetes                           -91.037123\n",
       "8                           Taste & Smell                           -90.633807\n",
       "9                              Disability                           -89.223695\n",
       "10           Smoking - Recent Tobacco Use                           -88.301850\n",
       "11                 Preventive Aspirin Use                           -88.292836\n",
       "12            Kidney Conditions - Urology                           -87.817576\n",
       "13                        Sleep Disorders                           -87.673600\n",
       "14                  Cardiovascular Health                           -85.853087\n",
       "15            Smoking - Household Smokers                           -85.810029\n",
       "16    Mental Health - Depression Screener                           -85.634773\n",
       "17          Volatile Toxicant (Subsample)                           -85.580356\n",
       "18                            Alcohol Use                           -84.734992\n",
       "19                            Dermatology                           -84.350459\n",
       "20                      Consumer Behavior                           -84.151348\n",
       "21                          Food Security                           -82.770158\n",
       "22                           Immunization                           -82.186599\n",
       "23                Housing Characteristics                           -81.655656\n",
       "24                               Drug Use                           -81.187135\n",
       "25                            Oral Health                           -78.920880\n",
       "26                 Weight History - Youth                           -77.701132\n",
       "27              Diet Behavior & Nutrition                           -75.799385\n",
       "28                         Weight History                           -75.136794\n",
       "29           Blood Pressure & Cholesterol                           -74.227317\n",
       "30                    Reproductive Health                           -73.813449\n",
       "31                           Osteoporosis                           -71.564695\n",
       "32                              Hepatitis                           -67.553468\n",
       "33                        Creatine Kinase                           -66.668884\n",
       "34                     Medical Conditions                           -65.222249\n",
       "35                  Current Health Status                           -44.650803\n",
       "36  Hospital Utilization & Access to Care                            10.915415\n",
       "37                        Sexual Behavior                            53.155908\n",
       "38                       Health Insurance                           146.405667"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load income dataset INQ_H and its prototypes\n",
    "X = prototypes['INQ_H.csv']['original']\n",
    "Xdata = prototypes['INQ_H.csv']['data']\n",
    "\n",
    "# Iterate through all questionnaires and evaluate how well their prototypes represent the income dataset. \n",
    "objs = []\n",
    "for i in range(len(nhanes_files)):\n",
    "        \n",
    "    #load a dataset, its prototypes & weights\n",
    "\n",
    "    f = nhanes_files[i]\n",
    "    \n",
    "    Ydata = prototypes[f]['data']\n",
    "    S = prototypes[f]['S']\n",
    "    W = prototypes[f]['W']\n",
    "    \n",
    "    \n",
    "    # sort the order of prototypes in set S\n",
    "    idx = np.argsort(S)\n",
    "    S = S[idx]\n",
    "    W = W[idx]\n",
    "    \n",
    "    # access corresponding prototypes in X. \n",
    "    XS = X[np.isin(Xdata[:, 0], Ydata[S, 0]), :]\n",
    "    \n",
    "    #print(Ydata[S, 0])\n",
    "    #print(Xdata[np.isin(Xdata[:, 0], Ydata[S, 0]), 0])   \n",
    "    \n",
    "    temp = np.dot(XS, np.transpose(X))    \n",
    "    u = np.sum(temp, axis=1)/temp.shape[1]\n",
    "    \n",
    "    K = np.dot(XS, XS.T)\n",
    "    \n",
    "    # evaluate prototypes on income based on our objective function with dot product as similarity measure\n",
    "    obj = 0.5 * np.dot(np.dot(W.T, K), W) - np.dot(W.T, u)\n",
    "    objs.append(obj)    \n",
    "    \n",
    "\n",
    "# sort the objectives (ascending order) \n",
    "index = np.argsort(np.array(objs))\n",
    "\n",
    "# load the results in a dataframe to print\n",
    "evalresult = []\n",
    "for i in range(1,len(index)):    \n",
    "    evalresult.append([ nhanesinfo[index[i]], objs[index[i]] ])\n",
    "    \n",
    "    \n",
    "df_evalresult = pd.DataFrame.from_records(evalresult)\n",
    "df_evalresult.columns = ['Questionaire', 'Prototypes representative of Income']\n",
    "df_evalresult"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Insight from ProtoDash\n",
    "\n",
    "Looking at the table above what is really interesting is that early childhood represents income the best. The early childhood questionnaire has information about the environment that the child was born and raised in. This most affecting income is actually consistent with a long term study (https://www.theatlantic.com/business/archive/2016/07/social-mobility-america/491240/) which talks about significant decrease in social mobility in recent times, stressing the fact that your childhood really affects how monetarily successful you are likely to be. It is interesting that our method was able to uncover this relationship with access to just these survey questionnaires. Other such insights could be obtained, with the ones that a social scientist or policy maker finds interesting potentially spawning long term studies like the one just mentioned."
   ]
  }
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