filippo_1812_1.ipynb

{"cells":[{"cell_type":"markdown","metadata":{},"source":["# Import libraries"]},{"cell_type":"code","execution_count":2,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:24:35.009948Z","iopub.status.busy":"2023-12-13T13:24:35.009471Z","iopub.status.idle":"2023-12-13T13:24:35.016357Z","shell.execute_reply":"2023-12-13T13:24:35.015200Z","shell.execute_reply.started":"2023-12-13T13:24:35.009922Z"},"trusted":true},"outputs":[],"source":["# Fix randomness and hide warnings\n","seed = 42\n","\n","import os\n","os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n","os.environ['PYTHONHASHSEED'] = str(seed)\n","os.environ['MPLCONFIGDIR'] = os.getcwd()+'/configs/'\n","\n","import warnings\n","warnings.simplefilter(action='ignore', category=FutureWarning)\n","warnings.simplefilter(action='ignore', category=Warning)\n","\n","import numpy as np\n","np.random.seed(seed)\n","\n","import logging\n","\n","import random\n","random.seed(seed)"]},{"cell_type":"code","execution_count":3,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:24:35.200514Z","iopub.status.busy":"2023-12-13T13:24:35.200098Z","iopub.status.idle":"2023-12-13T13:24:47.070873Z","shell.execute_reply":"2023-12-13T13:24:47.069876Z","shell.execute_reply.started":"2023-12-13T13:24:35.200485Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["2.14.0\n"]}],"source":["# Import tensorflow\n","import tensorflow as tf\n","from tensorflow import keras as tfk\n","from tensorflow.keras import layers as tfkl\n","tf.autograph.set_verbosity(0)\n","tf.get_logger().setLevel(logging.ERROR)\n","tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)\n","tf.random.set_seed(seed)\n","tf.compat.v1.set_random_seed(seed)\n","print(tf.__version__)"]},{"cell_type":"code","execution_count":4,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:24:47.073441Z","iopub.status.busy":"2023-12-13T13:24:47.072388Z","iopub.status.idle":"2023-12-13T13:24:48.677751Z","shell.execute_reply":"2023-12-13T13:24:48.676800Z","shell.execute_reply.started":"2023-12-13T13:24:47.073412Z"},"trusted":true},"outputs":[],"source":["import pandas as pd\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","plt.rc('font', size=16)\n","from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score\n","from sklearn.metrics import confusion_matrix\n","from sklearn.preprocessing import MinMaxScaler\n","from sklearn.model_selection import train_test_split"]},{"cell_type":"markdown","metadata":{},"source":["# Load and process data"]},{"cell_type":"code","execution_count":7,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:24:48.679060Z","iopub.status.busy":"2023-12-13T13:24:48.678799Z","iopub.status.idle":"2023-12-13T13:24:56.763089Z","shell.execute_reply":"2023-12-13T13:24:56.762032Z","shell.execute_reply.started":"2023-12-13T13:24:48.679039Z"},"trusted":true},"outputs":[{"data":{"text/plain":["((48000, 2776), (48000, 2), (48000,))"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# Load the data from the files\n","training_data = np.load('training/training_data.npy')\n","valid_periods = np.load('training/valid_periods.npy')\n","categories = np.load('training/categories.npy')\n","\n","training_data.shape, valid_periods.shape, categories.shape"]},{"cell_type":"code","execution_count":8,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:24:56.765520Z","iopub.status.busy":"2023-12-13T13:24:56.765278Z","iopub.status.idle":"2023-12-13T13:25:03.750007Z","shell.execute_reply":"2023-12-13T13:25:03.748855Z","shell.execute_reply.started":"2023-12-13T13:24:56.765499Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 48000 entries, 0 to 47999\n","Columns: 2777 entries, Timestep_1 to Category\n","dtypes: float64(2776), object(1)\n","memory usage: 1017.0+ MB\n"]},{"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>Timestep_1</th>\n","      <th>Timestep_2</th>\n","      <th>Timestep_3</th>\n","      <th>Timestep_4</th>\n","      <th>Timestep_5</th>\n","      <th>Timestep_6</th>\n","      <th>Timestep_7</th>\n","      <th>Timestep_8</th>\n","      <th>Timestep_9</th>\n","      <th>Timestep_10</th>\n","      <th>...</th>\n","      <th>Timestep_2767</th>\n","      <th>Timestep_2768</th>\n","      <th>Timestep_2769</th>\n","      <th>Timestep_2770</th>\n","      <th>Timestep_2771</th>\n","      <th>Timestep_2772</th>\n","      <th>Timestep_2773</th>\n","      <th>Timestep_2774</th>\n","      <th>Timestep_2775</th>\n","      <th>Timestep_2776</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>...</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","      <td>48000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>0.000004</td>\n","      <td>0.000004</td>\n","      <td>0.000004</td>\n","      <td>0.000003</td>\n","      <td>0.000003</td>\n","      <td>0.000003</td>\n","      <td>0.000003</td>\n","      <td>0.000003</td>\n","      <td>0.000003</td>\n","      <td>0.000003</td>\n","      <td>...</td>\n","      <td>0.515814</td>\n","      <td>0.520281</td>\n","      <td>0.528503</td>\n","      <td>0.533299</td>\n","      <td>0.530825</td>\n","      <td>0.525855</td>\n","      <td>0.522132</td>\n","      <td>0.523433</td>\n","      <td>0.530226</td>\n","      <td>0.531927</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.000837</td>\n","      <td>0.000813</td>\n","      <td>0.000781</td>\n","      <td>0.000760</td>\n","      <td>0.000757</td>\n","      <td>0.000749</td>\n","      <td>0.000745</td>\n","      <td>0.000741</td>\n","      <td>0.000741</td>\n","      <td>0.000733</td>\n","      <td>...</td>\n","      <td>0.288777</td>\n","      <td>0.289387</td>\n","      <td>0.287716</td>\n","      <td>0.288655</td>\n","      <td>0.289785</td>\n","      <td>0.291925</td>\n","      <td>0.296271</td>\n","      <td>0.302170</td>\n","      <td>0.303567</td>\n","      <td>0.304784</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>0.260870</td>\n","      <td>0.265976</td>\n","      <td>0.275296</td>\n","      <td>0.276525</td>\n","      <td>0.269440</td>\n","      <td>0.259259</td>\n","      <td>0.246887</td>\n","      <td>0.242881</td>\n","      <td>0.246772</td>\n","      <td>0.244700</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>0.529901</td>\n","      <td>0.535941</td>\n","      <td>0.546886</td>\n","      <td>0.556100</td>\n","      <td>0.552312</td>\n","      <td>0.544393</td>\n","      <td>0.542242</td>\n","      <td>0.550017</td>\n","      <td>0.561833</td>\n","      <td>0.564695</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>0.774056</td>\n","      <td>0.781060</td>\n","      <td>0.788449</td>\n","      <td>0.795617</td>\n","      <td>0.794872</td>\n","      <td>0.793385</td>\n","      <td>0.794734</td>\n","      <td>0.802337</td>\n","      <td>0.809368</td>\n","      <td>0.815334</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>0.183319</td>\n","      <td>0.178061</td>\n","      <td>0.171051</td>\n","      <td>0.166542</td>\n","      <td>0.165793</td>\n","      <td>0.164041</td>\n","      <td>0.163324</td>\n","      <td>0.162288</td>\n","      <td>0.162288</td>\n","      <td>0.160536</td>\n","      <td>...</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>8 rows × 2776 columns</p>\n","</div>"],"text/plain":["         Timestep_1    Timestep_2    Timestep_3    Timestep_4    Timestep_5  \\\n","count  48000.000000  48000.000000  48000.000000  48000.000000  48000.000000   \n","mean       0.000004      0.000004      0.000004      0.000003      0.000003   \n","std        0.000837      0.000813      0.000781      0.000760      0.000757   \n","min        0.000000      0.000000      0.000000      0.000000      0.000000   \n","25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n","50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n","75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n","max        0.183319      0.178061      0.171051      0.166542      0.165793   \n","\n","         Timestep_6    Timestep_7    Timestep_8    Timestep_9   Timestep_10  \\\n","count  48000.000000  48000.000000  48000.000000  48000.000000  48000.000000   \n","mean       0.000003      0.000003      0.000003      0.000003      0.000003   \n","std        0.000749      0.000745      0.000741      0.000741      0.000733   \n","min        0.000000      0.000000      0.000000      0.000000      0.000000   \n","25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n","50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n","75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n","max        0.164041      0.163324      0.162288      0.162288      0.160536   \n","\n","       ...  Timestep_2767  Timestep_2768  Timestep_2769  Timestep_2770  \\\n","count  ...   48000.000000   48000.000000   48000.000000   48000.000000   \n","mean   ...       0.515814       0.520281       0.528503       0.533299   \n","std    ...       0.288777       0.289387       0.287716       0.288655   \n","min    ...       0.000000       0.000000       0.000000       0.000000   \n","25%    ...       0.260870       0.265976       0.275296       0.276525   \n","50%    ...       0.529901       0.535941       0.546886       0.556100   \n","75%    ...       0.774056       0.781060       0.788449       0.795617   \n","max    ...       1.000000       1.000000       1.000000       1.000000   \n","\n","       Timestep_2771  Timestep_2772  Timestep_2773  Timestep_2774  \\\n","count   48000.000000   48000.000000   48000.000000   48000.000000   \n","mean        0.530825       0.525855       0.522132       0.523433   \n","std         0.289785       0.291925       0.296271       0.302170   \n","min         0.000000       0.000000       0.000000       0.000000   \n","25%         0.269440       0.259259       0.246887       0.242881   \n","50%         0.552312       0.544393       0.542242       0.550017   \n","75%         0.794872       0.793385       0.794734       0.802337   \n","max         1.000000       1.000000       1.000000       1.000000   \n","\n","       Timestep_2775  Timestep_2776  \n","count   48000.000000   48000.000000  \n","mean        0.530226       0.531927  \n","std         0.303567       0.304784  \n","min         0.000000       0.000000  \n","25%         0.246772       0.244700  \n","50%         0.561833       0.564695  \n","75%         0.809368       0.815334  \n","max         1.000000       1.000000  \n","\n","[8 rows x 2776 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# Convert training_data and categories to DataFrame\n","data_df = pd.DataFrame(training_data, columns=[f'Timestep_{i+1}' for i in range(training_data.shape[1])])\n","categories_df = pd.DataFrame(categories, columns=['Category'])\n","\n","# Concatenate DataFrames along the columns\n","df = pd.concat([data_df, categories_df], axis=1)\n","\n","# Display the resulting DataFrame\n","df.info()\n","df.describe()"]},{"cell_type":"code","execution_count":9,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:25:03.752153Z","iopub.status.busy":"2023-12-13T13:25:03.751752Z","iopub.status.idle":"2023-12-13T13:25:04.003680Z","shell.execute_reply":"2023-12-13T13:25:04.002627Z","shell.execute_reply.started":"2023-12-13T13:25:03.752120Z"},"trusted":true},"outputs":[{"data":{"image/png":"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size 1700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Inspect activities timestamps\n","plt.figure(figsize=(17,5))\n","sns.countplot(x = 'Category', data = df, order = sorted(df['Category'].unique()))\n","plt.title('Activity Timestamps')\n","plt.show()"]},{"cell_type":"code","execution_count":10,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:25:04.005464Z","iopub.status.busy":"2023-12-13T13:25:04.005122Z","iopub.status.idle":"2023-12-13T13:25:07.181172Z","shell.execute_reply":"2023-12-13T13:25:07.180076Z","shell.execute_reply.started":"2023-12-13T13:25:04.005438Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1700x300 with 4 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","text/plain":["<Figure size 1700x300 with 4 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","text/plain":["<Figure 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","text/plain":["<Figure size 1700x300 with 4 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","text/plain":["<Figure 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","text/plain":["<Figure size 1700x300 with 4 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot some samples\n","for category in \"ABCDEF\":\n","    to_be_inspected = 4\n","\n","    plt.figure(figsize=(17, 3))  # Adjust the figure size as needed\n","    plt.suptitle(f'Category {category} - Time Series Samples')\n","\n","    for idx in range(len(training_data)):\n","        if to_be_inspected == 0:\n","            break\n","\n","        if categories[idx] != category:\n","            continue\n","\n","        plt.subplot(1, 5, 6 - to_be_inspected)  # 1 row, 5 columns, and the current plot position\n","        plt.plot(training_data[idx])\n","        plt.title(f'Sample {idx + 1}')\n","        plt.xlabel('Time Steps')\n","        plt.ylabel('Feature Value')\n","\n","        to_be_inspected -= 1\n","\n","    plt.tight_layout()  # Adjust layout for better appearance\n","    plt.show()\n"]},{"cell_type":"markdown","metadata":{},"source":["## Split, Encode and Normalize"]},{"cell_type":"code","execution_count":11,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:25:07.182693Z","iopub.status.busy":"2023-12-13T13:25:07.182424Z","iopub.status.idle":"2023-12-13T13:25:08.046501Z","shell.execute_reply":"2023-12-13T13:25:08.045399Z","shell.execute_reply.started":"2023-12-13T13:25:07.182671Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Training set shape: (38400, 2776) (38400,)\n","Testing set shape: (9600, 2776) (9600,)\n"]}],"source":["features = df.drop('Category', axis=1)\n","target = df['Category']\n","\n","X_train, X_test, y_train, y_test = train_test_split(features, target, test_size=0.2, stratify=target, random_state=42)\n","\n","# Display the shapes of the resulting sets\n","print(\"Training set shape:\", X_train.shape, y_train.shape)\n","print(\"Testing set shape:\", X_test.shape, y_test.shape)"]},{"cell_type":"code","execution_count":12,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:25:08.047681Z","iopub.status.busy":"2023-12-13T13:25:08.047398Z","iopub.status.idle":"2023-12-13T13:25:08.381716Z","shell.execute_reply":"2023-12-13T13:25:08.380692Z","shell.execute_reply.started":"2023-12-13T13:25:08.047658Z"},"trusted":true},"outputs":[{"data":{"image/png":"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size 1700x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot for training set\n","plt.figure(figsize=(17, 5))\n","plt.subplot(1, 2, 1)  # 1 row, 2 columns, and the first plot\n","sns.countplot(x=y_train, order=sorted(y_train.unique()))\n","plt.title('Training Set')\n","\n","# Plot for testing set\n","plt.subplot(1, 2, 2)  # 1 row, 2 columns, and the second plot\n","sns.countplot(x=y_test, order=sorted(y_test.unique()))\n","plt.title('Testing Set')\n","\n","plt.show()"]},{"cell_type":"code","execution_count":13,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:25:08.383434Z","iopub.status.busy":"2023-12-13T13:25:08.383118Z","iopub.status.idle":"2023-12-13T13:25:08.392578Z","shell.execute_reply":"2023-12-13T13:25:08.391466Z","shell.execute_reply.started":"2023-12-13T13:25:08.383406Z"},"trusted":true},"outputs":[],"source":["# Map categories to integers\n","category_mapping = {'A': 0, 'B': 1, 'C': 2, 'D': 3, 'E': 4, 'F': 5}\n","\n","y_train = y_train.map(category_mapping)\n","y_test = y_test.map(category_mapping)"]},{"cell_type":"markdown","metadata":{},"source":["Have you thought about further normalising your time series? In the end, they are only scaled between 0 and 1. Speaking of which, ever heard of robust scalers? (PS: remember to de-normalise in the prediction function)."]},{"cell_type":"code","execution_count":14,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:25:08.395364Z","iopub.status.busy":"2023-12-13T13:25:08.395041Z","iopub.status.idle":"2023-12-13T13:25:10.507841Z","shell.execute_reply":"2023-12-13T13:25:10.506798Z","shell.execute_reply.started":"2023-12-13T13:25:08.395337Z"},"trusted":true},"outputs":[],"source":["from sklearn.preprocessing import RobustScaler\n","\n","# Initialize the RobustScaler\n","scaler = RobustScaler()\n","\n","# Fit the scaler on the training data and transform both training and testing data\n","X_train = scaler.fit_transform(X_train)\n","X_test = scaler.transform(X_test)"]},{"cell_type":"code","execution_count":15,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:25:10.509588Z","iopub.status.busy":"2023-12-13T13:25:10.509277Z","iopub.status.idle":"2023-12-13T13:25:10.516963Z","shell.execute_reply":"2023-12-13T13:25:10.515868Z","shell.execute_reply.started":"2023-12-13T13:25:10.509560Z"},"trusted":true},"outputs":[],"source":["from tensorflow.keras.utils import to_categorical\n","\n","forecasting_period_phase1 = 9\n","forecasting_period_phase2 = 18\n","\n","y_train = to_categorical(y_train, num_classes=forecasting_period_phase1)\n","y_test = to_categorical(y_test, num_classes=forecasting_period_phase1)"]},{"cell_type":"markdown","metadata":{},"source":["# Build and train models"]},{"cell_type":"code","execution_count":16,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T14:19:16.152749Z","iopub.status.busy":"2023-12-13T14:19:16.152374Z","iopub.status.idle":"2023-12-13T14:19:16.160385Z","shell.execute_reply":"2023-12-13T14:19:16.159255Z","shell.execute_reply.started":"2023-12-13T14:19:16.152706Z"},"trusted":true},"outputs":[{"data":{"text/plain":["((2776,), 9, (38400, 2776))"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["input_shape = X_train.shape[1:]\n","classes = y_train.shape[-1]\n","batch_size = 128\n","epochs = 200\n","\n","forecasting_period_phase1 = 9\n","forecasting_period_phase2 = 18\n","\n","input_shape, classes, X_train.shape"]},{"cell_type":"markdown","metadata":{},"source":["# Vanilla LSTM"]},{"cell_type":"code","execution_count":20,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T14:19:18.862344Z","iopub.status.busy":"2023-12-13T14:19:18.862002Z","iopub.status.idle":"2023-12-13T14:19:18.869648Z","shell.execute_reply":"2023-12-13T14:19:18.868811Z","shell.execute_reply.started":"2023-12-13T14:19:18.862319Z"},"trusted":true},"outputs":[],"source":["import tensorflow.keras as tfk\n","import tensorflow.keras.layers as tfkl\n","\n","def build_forecasting_model(input_shape, forecasting_period):\n","    # Input layer for categorical features\n","    input_layer = tfkl.Input(shape=(input_shape[0],), name='Input')  # Assuming input_shape is (num_features,)\n","\n","    # Dense layers for feature extraction\n","    dense1 = tfkl.Dense(128, activation='relu')(input_layer)\n","    dense2 = tfkl.Dense(128, activation='relu')(dense1)\n","    dropout = tfkl.Dropout(0.5, seed=42)(dense2)\n","\n","    # Dense layer for classification\n","    classifier = tfkl.Dense(128, activation='relu')(dropout)\n","    \n","    # Forecasting layer\n","    forecasting_output = tfkl.Dense(forecasting_period, activation='softmax')(classifier)\n","\n","    # Connect input and output through the Model class\n","    model = tfk.Model(inputs=input_layer, outputs=forecasting_output, name='forecasting_model')\n","\n","    # Compile the model\n","    #model.compile(loss=tfk.losses.CategoricalCrossentropy(), optimizer=tfk.optimizers.Adam(), metrics='accuracy')\n","    model.compile(loss=tfk.losses.MeanAbsoluteError(), optimizer=tfk.optimizers.Adam(), metrics=['mse'])\n","\n","    # Return the model\n","    return model\n"]},{"cell_type":"code","execution_count":21,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T14:19:19.201191Z","iopub.status.busy":"2023-12-13T14:19:19.200149Z","iopub.status.idle":"2023-12-13T14:19:19.256513Z","shell.execute_reply":"2023-12-13T14:19:19.255253Z","shell.execute_reply.started":"2023-12-13T14:19:19.201152Z"},"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.Adam` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.Adam`.\n"]},{"name":"stdout","output_type":"stream","text":["Model: \"forecasting_model\"\n","_________________________________________________________________\n"," Layer (type)                Output Shape              Param #   \n","=================================================================\n"," Input (InputLayer)          [(None, 2776)]            0         \n","                                                                 \n"," dense (Dense)               (None, 128)               355456    \n","                                                                 \n"," dense_1 (Dense)             (None, 128)               16512     \n","                                                                 \n"," dropout (Dropout)           (None, 128)               0         \n","                                                                 \n"," dense_2 (Dense)             (None, 128)               16512     \n","                                                                 \n"," dense_3 (Dense)             (None, 9)                 1161      \n","                                                                 \n","=================================================================\n","Total params: 389641 (1.49 MB)\n","Trainable params: 389641 (1.49 MB)\n","Non-trainable params: 0 (0.00 Byte)\n","_________________________________________________________________\n"]}],"source":["# Build the forecasting model for Phase 1\n","model = build_forecasting_model(input_shape, classes)\n","model.summary()"]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T14:19:19.564337Z","iopub.status.busy":"2023-12-13T14:19:19.563355Z","iopub.status.idle":"2023-12-13T14:19:42.836645Z","shell.execute_reply":"2023-12-13T14:19:42.836020Z","shell.execute_reply.started":"2023-12-13T14:19:19.564286Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/200\n","270/270 [==============================] - 3s 8ms/step - loss: 0.1497 - mse: 0.1401 - val_loss: 0.1449 - val_mse: 0.1422 - lr: 0.0010\n","Epoch 2/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1463 - mse: 0.1442 - val_loss: 0.1454 - val_mse: 0.1442 - lr: 0.0010\n","Epoch 3/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1459 - mse: 0.1448 - val_loss: 0.1452 - val_mse: 0.1445 - lr: 0.0010\n","Epoch 4/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1479 - mse: 0.1472 - val_loss: 0.1455 - val_mse: 0.1448 - lr: 0.0010\n","Epoch 5/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1480 - mse: 0.1475 - val_loss: 0.1450 - val_mse: 0.1447 - lr: 0.0010\n","Epoch 6/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1462 - mse: 0.1460 - val_loss: 0.1477 - val_mse: 0.1474 - lr: 0.0010\n","Epoch 7/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1458 - mse: 0.1456 - val_loss: 0.1459 - val_mse: 0.1458 - lr: 5.0000e-04\n","Epoch 8/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1463 - mse: 0.1461 - val_loss: 0.1447 - val_mse: 0.1445 - lr: 5.0000e-04\n","Epoch 9/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1449 - mse: 0.1447 - val_loss: 0.1451 - val_mse: 0.1448 - lr: 5.0000e-04\n","Epoch 10/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1457 - mse: 0.1455 - val_loss: 0.1447 - val_mse: 0.1445 - lr: 5.0000e-04\n","Epoch 11/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1459 - mse: 0.1457 - val_loss: 0.1462 - val_mse: 0.1460 - lr: 5.0000e-04\n","Epoch 12/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1464 - mse: 0.1461 - val_loss: 0.1483 - val_mse: 0.1480 - lr: 5.0000e-04\n","Epoch 13/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1454 - mse: 0.1452 - val_loss: 0.1449 - val_mse: 0.1447 - lr: 5.0000e-04\n","Epoch 14/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1450 - mse: 0.1449 - val_loss: 0.1443 - val_mse: 0.1442 - lr: 2.5000e-04\n","Epoch 15/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1449 - mse: 0.1448 - val_loss: 0.1447 - val_mse: 0.1446 - lr: 2.5000e-04\n","Epoch 16/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1455 - mse: 0.1453 - val_loss: 0.1435 - val_mse: 0.1433 - lr: 2.5000e-04\n","Epoch 17/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1449 - mse: 0.1447 - val_loss: 0.1453 - val_mse: 0.1451 - lr: 2.5000e-04\n","Epoch 18/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1449 - mse: 0.1448 - val_loss: 0.1455 - val_mse: 0.1454 - lr: 2.5000e-04\n","Epoch 19/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1451 - mse: 0.1450 - val_loss: 0.1438 - val_mse: 0.1437 - lr: 2.5000e-04\n","Epoch 20/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1444 - mse: 0.1443 - val_loss: 0.1437 - val_mse: 0.1436 - lr: 2.5000e-04\n","Epoch 21/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1446 - mse: 0.1444 - val_loss: 0.1432 - val_mse: 0.1430 - lr: 2.5000e-04\n","Epoch 22/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1444 - mse: 0.1443 - val_loss: 0.1438 - val_mse: 0.1436 - lr: 2.5000e-04\n","Epoch 23/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1442 - mse: 0.1441 - val_loss: 0.1450 - val_mse: 0.1449 - lr: 2.5000e-04\n","Epoch 24/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1447 - mse: 0.1446 - val_loss: 0.1461 - val_mse: 0.1460 - lr: 2.5000e-04\n","Epoch 25/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1442 - mse: 0.1440 - val_loss: 0.1443 - val_mse: 0.1442 - lr: 2.5000e-04\n","Epoch 26/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1446 - mse: 0.1445 - val_loss: 0.1437 - val_mse: 0.1435 - lr: 2.5000e-04\n","Epoch 27/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1441 - mse: 0.1440 - val_loss: 0.1437 - val_mse: 0.1436 - lr: 1.2500e-04\n","Epoch 28/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1438 - mse: 0.1437 - val_loss: 0.1436 - val_mse: 0.1434 - lr: 1.2500e-04\n","Epoch 29/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1440 - mse: 0.1439 - val_loss: 0.1435 - val_mse: 0.1434 - lr: 1.2500e-04\n","Epoch 30/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1441 - mse: 0.1440 - val_loss: 0.1432 - val_mse: 0.1430 - lr: 1.2500e-04\n","Epoch 31/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1440 - mse: 0.1439 - val_loss: 0.1433 - val_mse: 0.1431 - lr: 1.2500e-04\n","Epoch 32/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1435 - mse: 0.1434 - val_loss: 0.1428 - val_mse: 0.1428 - lr: 6.2500e-05\n","Epoch 33/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1438 - mse: 0.1437 - val_loss: 0.1430 - val_mse: 0.1428 - lr: 6.2500e-05\n","Epoch 34/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1435 - mse: 0.1433 - val_loss: 0.1423 - val_mse: 0.1421 - lr: 6.2500e-05\n","Epoch 35/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1431 - mse: 0.1429 - val_loss: 0.1422 - val_mse: 0.1421 - lr: 6.2500e-05\n","Epoch 36/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1434 - mse: 0.1432 - val_loss: 0.1425 - val_mse: 0.1425 - lr: 6.2500e-05\n","Epoch 37/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1439 - mse: 0.1437 - val_loss: 0.1434 - val_mse: 0.1432 - lr: 6.2500e-05\n","Epoch 38/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1437 - mse: 0.1435 - val_loss: 0.1433 - val_mse: 0.1431 - lr: 6.2500e-05\n","Epoch 39/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1435 - mse: 0.1434 - val_loss: 0.1426 - val_mse: 0.1424 - lr: 6.2500e-05\n","Epoch 40/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1435 - mse: 0.1433 - val_loss: 0.1432 - val_mse: 0.1431 - lr: 3.1250e-05\n","Epoch 41/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1433 - mse: 0.1431 - val_loss: 0.1422 - val_mse: 0.1421 - lr: 3.1250e-05\n","Epoch 42/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1426 - mse: 0.1425 - val_loss: 0.1428 - val_mse: 0.1426 - lr: 3.1250e-05\n","Epoch 43/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1432 - mse: 0.1431 - val_loss: 0.1420 - val_mse: 0.1418 - lr: 3.1250e-05\n","Epoch 44/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1433 - mse: 0.1431 - val_loss: 0.1420 - val_mse: 0.1418 - lr: 3.1250e-05\n","Epoch 45/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1435 - mse: 0.1433 - val_loss: 0.1423 - val_mse: 0.1421 - lr: 3.1250e-05\n","Epoch 46/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1434 - mse: 0.1432 - val_loss: 0.1411 - val_mse: 0.1409 - lr: 3.1250e-05\n","Epoch 47/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1431 - mse: 0.1429 - val_loss: 0.1415 - val_mse: 0.1413 - lr: 3.1250e-05\n","Epoch 48/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1431 - mse: 0.1430 - val_loss: 0.1426 - val_mse: 0.1424 - lr: 3.1250e-05\n","Epoch 49/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1429 - mse: 0.1427 - val_loss: 0.1423 - val_mse: 0.1422 - lr: 3.1250e-05\n","Epoch 50/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1435 - mse: 0.1433 - val_loss: 0.1419 - val_mse: 0.1418 - lr: 3.1250e-05\n","Epoch 51/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1432 - mse: 0.1430 - val_loss: 0.1416 - val_mse: 0.1415 - lr: 3.1250e-05\n","Epoch 52/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1428 - mse: 0.1426 - val_loss: 0.1418 - val_mse: 0.1417 - lr: 1.5625e-05\n","Epoch 53/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1430 - mse: 0.1428 - val_loss: 0.1420 - val_mse: 0.1419 - lr: 1.5625e-05\n","Epoch 54/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1431 - mse: 0.1429 - val_loss: 0.1419 - val_mse: 0.1418 - lr: 1.5625e-05\n","Epoch 55/200\n","270/270 [==============================] - 2s 8ms/step - loss: 0.1426 - mse: 0.1424 - val_loss: 0.1419 - val_mse: 0.1418 - lr: 1.5625e-05\n","Epoch 56/200\n","270/270 [==============================] - 2s 7ms/step - loss: 0.1427 - mse: 0.1425 - val_loss: 0.1419 - val_mse: 0.1417 - lr: 1.5625e-05\n"]}],"source":["# Train the model\n","history = model.fit(\n","    x = X_train,\n","    y = y_train,\n","    batch_size = batch_size,\n","    epochs = epochs,\n","    validation_split=.1,\n","    callbacks = [\n","        tfk.callbacks.EarlyStopping(monitor='val_loss', mode='min', patience=10, restore_best_weights=True),\n","        tfk.callbacks.ReduceLROnPlateau(monitor='val_loss', mode='min', patience=5, factor=0.5, min_lr=1e-5)\n","    ]\n",").history"]},{"cell_type":"markdown","metadata":{},"source":["Is it possible, and does it make sense to build a ResNet-style model with Conv1Ds? "]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[],"source":["from datetime import datetime\n","\n","def save_model(model, description):\n","    current_datetime = datetime.now()\n","    formatted_datetime = current_datetime.strftime(\"%d%m_%H%M\")\n","\n","    model.save('models/' + formatted_datetime + '/' + description)"]},{"cell_type":"code","execution_count":28,"metadata":{},"outputs":[],"source":["save_model(model, 'vanilla')"]},{"cell_type":"markdown","metadata":{},"source":["# ResNet + Conv1D model"]},{"cell_type":"code","execution_count":17,"metadata":{"execution":{"iopub.execute_input":"2023-12-12T15:34:22.346623Z","iopub.status.busy":"2023-12-12T15:34:22.346215Z","iopub.status.idle":"2023-12-12T15:34:22.979842Z","shell.execute_reply":"2023-12-12T15:34:22.978364Z","shell.execute_reply.started":"2023-12-12T15:34:22.346594Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"resnet_conv1d\"\n","__________________________________________________________________________________________________\n"," Layer (type)                Output Shape                 Param #   Connected to                  \n","==================================================================================================\n"," input_1 (InputLayer)        [(None, 2776, 1)]            0         []                            \n","                                                                                                  \n"," conv1d (Conv1D)             (None, 1388, 64)             512       ['input_1[0][0]']             \n","                                                                                                  \n"," batch_normalization (Batch  (None, 1388, 64)             256       ['conv1d[0][0]']              \n"," Normalization)                                                                                   \n","                                                                                                  \n"," activation (Activation)     (None, 1388, 64)             0         ['batch_normalization[0][0]'] \n","                                                                                                  \n"," conv1d_1 (Conv1D)           (None, 1388, 64)             12352     ['activation[0][0]']          \n","                                                                                                  \n"," batch_normalization_1 (Bat  (None, 1388, 64)             256       ['conv1d_1[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," activation_1 (Activation)   (None, 1388, 64)             0         ['batch_normalization_1[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," conv1d_2 (Conv1D)           (None, 1388, 64)             12352     ['activation_1[0][0]']        \n","                                                                                                  \n"," batch_normalization_2 (Bat  (None, 1388, 64)             256       ['conv1d_2[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," add (Add)                   (None, 1388, 64)             0         ['activation[0][0]',          \n","                                                                     'batch_normalization_2[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," activation_2 (Activation)   (None, 1388, 64)             0         ['add[0][0]']                 \n","                                                                                                  \n"," conv1d_3 (Conv1D)           (None, 1388, 64)             12352     ['activation_2[0][0]']        \n","                                                                                                  \n"," batch_normalization_3 (Bat  (None, 1388, 64)             256       ['conv1d_3[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," activation_3 (Activation)   (None, 1388, 64)             0         ['batch_normalization_3[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," conv1d_4 (Conv1D)           (None, 1388, 64)             12352     ['activation_3[0][0]']        \n","                                                                                                  \n"," batch_normalization_4 (Bat  (None, 1388, 64)             256       ['conv1d_4[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," add_1 (Add)                 (None, 1388, 64)             0         ['activation_2[0][0]',        \n","                                                                     'batch_normalization_4[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," activation_4 (Activation)   (None, 1388, 64)             0         ['add_1[0][0]']               \n","                                                                                                  \n"," conv1d_5 (Conv1D)           (None, 1388, 64)             12352     ['activation_4[0][0]']        \n","                                                                                                  \n"," batch_normalization_5 (Bat  (None, 1388, 64)             256       ['conv1d_5[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," activation_5 (Activation)   (None, 1388, 64)             0         ['batch_normalization_5[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," conv1d_6 (Conv1D)           (None, 1388, 64)             12352     ['activation_5[0][0]']        \n","                                                                                                  \n"," batch_normalization_6 (Bat  (None, 1388, 64)             256       ['conv1d_6[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," add_2 (Add)                 (None, 1388, 64)             0         ['activation_4[0][0]',        \n","                                                                     'batch_normalization_6[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," activation_6 (Activation)   (None, 1388, 64)             0         ['add_2[0][0]']               \n","                                                                                                  \n"," conv1d_7 (Conv1D)           (None, 694, 128)             24704     ['activation_6[0][0]']        \n","                                                                                                  \n"," batch_normalization_7 (Bat  (None, 694, 128)             512       ['conv1d_7[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," activation_7 (Activation)   (None, 694, 128)             0         ['batch_normalization_7[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," conv1d_8 (Conv1D)           (None, 694, 128)             49280     ['activation_7[0][0]']        \n","                                                                                                  \n"," conv1d_9 (Conv1D)           (None, 694, 128)             8320      ['activation_6[0][0]']        \n","                                                                                                  \n"," batch_normalization_8 (Bat  (None, 694, 128)             512       ['conv1d_8[0][0]']            \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," add_3 (Add)                 (None, 694, 128)             0         ['conv1d_9[0][0]',            \n","                                                                     'batch_normalization_8[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," activation_8 (Activation)   (None, 694, 128)             0         ['add_3[0][0]']               \n","                                                                                                  \n"," conv1d_10 (Conv1D)          (None, 694, 128)             49280     ['activation_8[0][0]']        \n","                                                                                                  \n"," batch_normalization_9 (Bat  (None, 694, 128)             512       ['conv1d_10[0][0]']           \n"," chNormalization)                                                                                 \n","                                                                                                  \n"," activation_9 (Activation)   (None, 694, 128)             0         ['batch_normalization_9[0][0]'\n","                                                                    ]                             \n","                                                                                                  \n"," conv1d_11 (Conv1D)          (None, 694, 128)             49280     ['activation_9[0][0]']        \n","                                                                                                  \n"," batch_normalization_10 (Ba  (None, 694, 128)             512       ['conv1d_11[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," add_4 (Add)                 (None, 694, 128)             0         ['activation_8[0][0]',        \n","                                                                     'batch_normalization_10[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," activation_10 (Activation)  (None, 694, 128)             0         ['add_4[0][0]']               \n","                                                                                                  \n"," conv1d_12 (Conv1D)          (None, 694, 128)             49280     ['activation_10[0][0]']       \n","                                                                                                  \n"," batch_normalization_11 (Ba  (None, 694, 128)             512       ['conv1d_12[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," activation_11 (Activation)  (None, 694, 128)             0         ['batch_normalization_11[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," conv1d_13 (Conv1D)          (None, 694, 128)             49280     ['activation_11[0][0]']       \n","                                                                                                  \n"," batch_normalization_12 (Ba  (None, 694, 128)             512       ['conv1d_13[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," add_5 (Add)                 (None, 694, 128)             0         ['activation_10[0][0]',       \n","                                                                     'batch_normalization_12[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," activation_12 (Activation)  (None, 694, 128)             0         ['add_5[0][0]']               \n","                                                                                                  \n"," conv1d_14 (Conv1D)          (None, 347, 256)             98560     ['activation_12[0][0]']       \n","                                                                                                  \n"," batch_normalization_13 (Ba  (None, 347, 256)             1024      ['conv1d_14[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," activation_13 (Activation)  (None, 347, 256)             0         ['batch_normalization_13[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," conv1d_15 (Conv1D)          (None, 347, 256)             196864    ['activation_13[0][0]']       \n","                                                                                                  \n"," conv1d_16 (Conv1D)          (None, 347, 256)             33024     ['activation_12[0][0]']       \n","                                                                                                  \n"," batch_normalization_14 (Ba  (None, 347, 256)             1024      ['conv1d_15[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," add_6 (Add)                 (None, 347, 256)             0         ['conv1d_16[0][0]',           \n","                                                                     'batch_normalization_14[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," activation_14 (Activation)  (None, 347, 256)             0         ['add_6[0][0]']               \n","                                                                                                  \n"," conv1d_17 (Conv1D)          (None, 347, 256)             196864    ['activation_14[0][0]']       \n","                                                                                                  \n"," batch_normalization_15 (Ba  (None, 347, 256)             1024      ['conv1d_17[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," activation_15 (Activation)  (None, 347, 256)             0         ['batch_normalization_15[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," conv1d_18 (Conv1D)          (None, 347, 256)             196864    ['activation_15[0][0]']       \n","                                                                                                  \n"," batch_normalization_16 (Ba  (None, 347, 256)             1024      ['conv1d_18[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," add_7 (Add)                 (None, 347, 256)             0         ['activation_14[0][0]',       \n","                                                                     'batch_normalization_16[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," activation_16 (Activation)  (None, 347, 256)             0         ['add_7[0][0]']               \n","                                                                                                  \n"," conv1d_19 (Conv1D)          (None, 347, 256)             196864    ['activation_16[0][0]']       \n","                                                                                                  \n"," batch_normalization_17 (Ba  (None, 347, 256)             1024      ['conv1d_19[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," activation_17 (Activation)  (None, 347, 256)             0         ['batch_normalization_17[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," conv1d_20 (Conv1D)          (None, 347, 256)             196864    ['activation_17[0][0]']       \n","                                                                                                  \n"," batch_normalization_18 (Ba  (None, 347, 256)             1024      ['conv1d_20[0][0]']           \n"," tchNormalization)                                                                                \n","                                                                                                  \n"," add_8 (Add)                 (None, 347, 256)             0         ['activation_16[0][0]',       \n","                                                                     'batch_normalization_18[0][0]\n","                                                                    ']                            \n","                                                                                                  \n"," activation_18 (Activation)  (None, 347, 256)             0         ['add_8[0][0]']               \n","                                                                                                  \n"," flatten (Flatten)           (None, 88832)                0         ['activation_18[0][0]']       \n","                                                                                                  \n"," dense (Dense)               (None, 512)                  4548249   ['flatten[0][0]']             \n","                                                          6                                       \n","                                                                                                  \n"," dense_1 (Dense)             (None, 9)                    4617      ['dense[0][0]']               \n","                                                                                                  \n","==================================================================================================\n","Total params: 46968073 (179.17 MB)\n","Trainable params: 46962569 (179.15 MB)\n","Non-trainable params: 5504 (21.50 KB)\n","__________________________________________________________________________________________________\n"]},{"data":{"image/png":"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","text/plain":["<IPython.core.display.Image object>"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["from tensorflow.keras.models import Model\n","from tensorflow.keras.layers import Input, Conv1D, BatchNormalization, Activation, Add, Flatten, Dense\n","\n","# Define parameter of the model\n","input_shape = (2776, 1)  # Assuming 1 feature in each time step\n","num_classes = 9\n","batch_size = 128\n","epochs = 200\n","\n","def residual_block(x, filters, kernel_size=3, stride=1):\n","    y = Conv1D(filters, kernel_size=kernel_size, strides=stride, padding='same')(x)\n","    y = BatchNormalization()(y)\n","    y = Activation('relu')(y)\n","\n","    y = Conv1D(filters, kernel_size=kernel_size, strides=1, padding='same')(y)\n","    y = BatchNormalization()(y)\n","\n","    # Adjust dimensions of the skip connection\n","    if stride > 1:\n","        x = Conv1D(filters, kernel_size=1, strides=stride, padding='same')(x)\n","    \n","    out = Add()([x, y])\n","    out = Activation('relu')(out)\n","    return out\n","\n","# Define the ResNet + Conv1D model\n","def resnet_model(input_shape, num_classes):\n","    inputs = Input(shape=input_shape)\n","\n","    # Initial Conv1D layer\n","    x = Conv1D(64, kernel_size=7, strides=2, padding='same')(inputs)\n","    x = BatchNormalization()(x)\n","    x = Activation('relu')(x)\n","\n","    # Residual Blocks\n","    for _ in range(3):\n","        x = residual_block(x, filters=64)\n","\n","    x = residual_block(x, filters=128, stride=2)\n","    for _ in range(2):\n","        x = residual_block(x, filters=128)\n","\n","    x = residual_block(x, filters=256, stride=2)\n","    for _ in range(2):\n","        x = residual_block(x, filters=256)\n","\n","    x = Flatten()(x)\n","    x = Dense(512, activation='relu')(x)\n","    outputs = Dense(num_classes, activation='linear')(x)\n","\n","    model = Model(inputs=inputs, outputs=outputs, name='resnet_conv1d')\n","    return model\n","\n","model = resnet_model(input_shape, num_classes)\n","\n","# Compile the model\n","model.compile(optimizer='adam', loss='mean_squared_error', metrics=['mae'])\n","\n","# Display the model summary\n","model.summary()\n","\n","# Plot the model\n","tfk.utils.plot_model(model)\n"]},{"cell_type":"code","execution_count":18,"metadata":{"execution":{"iopub.execute_input":"2023-12-12T15:27:39.839146Z","iopub.status.busy":"2023-12-12T15:27:39.838121Z","iopub.status.idle":"2023-12-12T15:27:40.354765Z","shell.execute_reply":"2023-12-12T15:27:40.353022Z","shell.execute_reply.started":"2023-12-12T15:27:39.839096Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/200\n","300/300 [==============================] - 129s 416ms/step - loss: 372.3089 - mae: 5.5070 - val_loss: 0.6539 - val_mae: 0.6458 - lr: 0.0010\n","Epoch 2/200\n","300/300 [==============================] - 125s 418ms/step - loss: 4.0708 - mae: 1.1749 - val_loss: 149.2552 - val_mae: 9.1164 - lr: 0.0010\n","Epoch 3/200\n","300/300 [==============================] - 123s 409ms/step - loss: 0.4163 - mae: 0.4558 - val_loss: 6.1772 - val_mae: 1.8363 - lr: 0.0010\n","Epoch 4/200\n","300/300 [==============================] - 121s 404ms/step - loss: 0.9462 - mae: 0.6334 - val_loss: 3.3178 - val_mae: 1.3235 - lr: 0.0010\n","Epoch 5/200\n","300/300 [==============================] - 122s 407ms/step - loss: 0.8404 - mae: 0.6134 - val_loss: 1.7543 - val_mae: 1.0807 - lr: 0.0010\n","Epoch 6/200\n","300/300 [==============================] - 121s 405ms/step - loss: 1.0995 - mae: 0.7327 - val_loss: 1.9255 - val_mae: 1.1653 - lr: 0.0010\n","Epoch 7/200\n","300/300 [==============================] - 121s 404ms/step - loss: 0.3263 - mae: 0.4024 - val_loss: 2.2512 - val_mae: 1.1709 - lr: 5.0000e-04\n","Epoch 8/200\n","300/300 [==============================] - 121s 404ms/step - loss: 1.0463 - mae: 0.6608 - val_loss: 0.7106 - val_mae: 0.6285 - lr: 5.0000e-04\n","Epoch 9/200\n","300/300 [==============================] - 122s 406ms/step - loss: 1.4515 - mae: 0.8660 - val_loss: 5.6147 - val_mae: 1.8490 - lr: 5.0000e-04\n","Epoch 10/200\n","300/300 [==============================] - 121s 405ms/step - loss: 1.4909 - mae: 0.9029 - val_loss: 11.5792 - val_mae: 2.3457 - lr: 5.0000e-04\n","Epoch 11/200\n","300/300 [==============================] - 121s 404ms/step - loss: 1.8848 - mae: 0.9480 - val_loss: 17.9052 - val_mae: 3.2422 - lr: 5.0000e-04\n"]}],"source":["# Train the model\n","\n","history = model.fit(\n","    x = X_train,\n","    y = y_train,\n","    batch_size = batch_size,\n","    epochs = epochs,\n","    validation_data = (X_test, y_test),\n","    callbacks = [\n","        tfk.callbacks.EarlyStopping(monitor='val_loss', mode='min', patience=10, restore_best_weights=True),\n","        tfk.callbacks.ReduceLROnPlateau(monitor='val_loss', mode='min', patience=5, factor=0.5, min_lr=1e-5)\n","    ]\n",").history"]},{"cell_type":"markdown","metadata":{},"source":["If you want to give a more robust interpretation of the results, given the individual normalisation of the series, you can consider the Mean Absolute Error (MAE) as the average percentage error (scaled between 0 and 1) obtained on the predicted points compared to the ground truth."]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[],"source":["save_model(model, 'resnetplusconv1d')"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[],"source":["model = tfk.models.load_model('models/1812_2339/resnetplusconv1d')"]},{"cell_type":"markdown","metadata":{},"source":["# Plot results"]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:31:24.033039Z","iopub.status.busy":"2023-12-13T13:31:24.032581Z","iopub.status.idle":"2023-12-13T13:31:24.759157Z","shell.execute_reply":"2023-12-13T13:31:24.757183Z","shell.execute_reply.started":"2023-12-13T13:31:24.033007Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1700x400 with 1 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size 1800x300 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot results\n","\n","best_epoch = np.argmin(history['val_loss'])\n","plt.figure(figsize=(17,4))\n","plt.plot(history['loss'], label='Training loss', alpha=.8, color='#ff7f0e')\n","plt.plot(history['val_loss'], label='Validation loss', alpha=.9, color='#5a9aa5')\n","plt.axvline(x=best_epoch, label='Best epoch', alpha=.3, ls='--', color='#5a9aa5')\n","plt.title('Mean Squared Error (Loss)')\n","plt.legend()\n","plt.grid(alpha=.3)\n","plt.show()\n","\n","plt.figure(figsize=(17,4))\n","plt.plot(history['mae'], label='Training accuracy', alpha=.8, color='#ff7f0e')\n","plt.plot(history['val_mae'], label='Validation accuracy', alpha=.9, color='#5a9aa5')\n","plt.axvline(x=best_epoch, label='Best epoch', alpha=.3, ls='--', color='#5a9aa5')\n","plt.title('Mean Absolute Error')\n","plt.legend()\n","plt.grid(alpha=.3)\n","plt.show()\n","\n","plt.figure(figsize=(18,3))\n","plt.plot(history['lr'], label='Learning Rate', alpha=.8, color='#ff7f0e')\n","plt.axvline(x=best_epoch, label='Best epoch', alpha=.3, ls='--', color='#5a9aa5')\n","plt.legend()\n","plt.grid(alpha=.3)\n","plt.show()"]},{"cell_type":"code","execution_count":23,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:31:41.654071Z","iopub.status.busy":"2023-12-13T13:31:41.653279Z","iopub.status.idle":"2023-12-13T13:31:42.736900Z","shell.execute_reply":"2023-12-13T13:31:42.736043Z","shell.execute_reply.started":"2023-12-13T13:31:41.654029Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["300/300 [==============================] - 12s 35ms/step\n","(9600, 9)\n"]},{"data":{"text/plain":["(<tf.Tensor: shape=(), dtype=float32, numpy=0.65394455>,\n"," <tf.Tensor: shape=(), dtype=float32, numpy=0.6457763>)"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["# Predict the test set \n","predictions = model.predict(X_test)\n","print(predictions.shape)\n","\n","mean_squared_error = tfk.metrics.mse(y_test.flatten(),predictions.flatten())\n","mean_absolute_error = tfk.metrics.mae(y_test.flatten(),predictions.flatten())\n","mean_squared_error, mean_absolute_error"]},{"cell_type":"code","execution_count":24,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:56:45.501914Z","iopub.status.busy":"2023-12-13T13:56:45.501597Z","iopub.status.idle":"2023-12-13T13:56:45.509163Z","shell.execute_reply":"2023-12-13T13:56:45.507907Z","shell.execute_reply.started":"2023-12-13T13:56:45.501889Z"},"trusted":true},"outputs":[{"data":{"text/plain":["(9600, 9)"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["predictions.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:32:51.395615Z","iopub.status.busy":"2023-12-13T13:32:51.395144Z","iopub.status.idle":"2023-12-13T13:32:51.439254Z","shell.execute_reply":"2023-12-13T13:32:51.437854Z","shell.execute_reply.started":"2023-12-13T13:32:51.395587Z"},"trusted":true},"outputs":[],"source":["def inspect_multivariate_prediction(X, y, pred, columns, telescope, idx=None):\n","    if(idx==None):\n","        idx=np.random.randint(0,len(X))\n","\n","    figs, axs = plt.subplots(len(columns), 1, sharex=True, figsize=(17,17))\n","    for i, col in enumerate(columns):\n","        axs[i].plot(np.arange(len(X[0,:,i])), X[idx,:,i])\n","        axs[i].plot(np.arange(len(X[0,:,i]), len(X_train[0,:,i])+telescope), y[idx,:,i], color='orange')\n","        axs[i].plot(np.arange(len(X[0,:,i]), len(X_train[0,:,i])+telescope), pred[idx,:,i], color='green') \n","        # le linee verdi hanno dei segmenti che sono sovrascitti, poiché i samples in X_test sono sovrappost (visto che stride != window)\n","        axs[i].set_title(col)\n","        axs[i].set_ylim(0,1)\n","    plt.show()\n","    \n","# DOESN'T END EXECUTION\n","# inspect_multivariate_prediction(X_test, y_test, predictions, categories, forecasting_period_phase1)"]},{"cell_type":"code","execution_count":6,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T13:33:35.411888Z","iopub.status.busy":"2023-12-13T13:33:35.411539Z","iopub.status.idle":"2023-12-13T13:33:35.749314Z","shell.execute_reply":"2023-12-13T13:33:35.748381Z","shell.execute_reply.started":"2023-12-13T13:33:35.411861Z"},"trusted":true},"outputs":[{"ename":"NameError","evalue":"name 'y_test' is not defined","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","Cell \u001b[0;32mIn[6], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Compute the confusion matrix\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m cm \u001b[38;5;241m=\u001b[39m confusion_matrix(np\u001b[38;5;241m.\u001b[39margmax(\u001b[43my_test\u001b[49m, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m), np\u001b[38;5;241m.\u001b[39margmax(predictions, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m      5\u001b[0m cm \u001b[38;5;241m=\u001b[39m cm \u001b[38;5;241m/\u001b[39mcm\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mfloat\u001b[39m)\u001b[38;5;241m.\u001b[39msum(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m);\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# Compute the classification metrics\u001b[39;00m\n","\u001b[0;31mNameError\u001b[0m: name 'y_test' is not defined"]}],"source":["# Compute the confusion matrix\n","\n","cm = confusion_matrix(np.argmax(y_test, axis=-1), np.argmax(predictions, axis=-1))\n","\n","cm = cm /cm.astype(float).sum(axis=1)\n","\n","# Compute the classification metrics\n","accuracy = accuracy_score(np.argmax(y_test, axis=-1), np.argmax(predictions, axis=-1))\n","precision = precision_score(np.argmax(y_test, axis=-1), np.argmax(predictions, axis=-1), average='macro')\n","recall = recall_score(np.argmax(y_test, axis=-1), np.argmax(predictions, axis=-1), average='macro')\n","f1 = f1_score(np.argmax(y_test, axis=-1), np.argmax(predictions, axis=-1), average='macro')\n","print('Accuracy:',accuracy.round(4))\n","print('Precision:',precision.round(4))\n","print('Recall:',recall.round(4))\n","print('F1:',f1.round(4))\n","\n","# Plot the confusion matrix\n","plt.figure(figsize=(10,8))\n","sns.heatmap(cm.T, cmap='Blues', annot=True, annot_kws={'fontsize':9,'alpha':0.6})#, xticklabels=list(label_mapping.keys()), yticklabels=list(label_mapping.keys()))\n","plt.xlabel('True labels')\n","plt.ylabel('Predicted labels')\n","plt.show()"]},{"cell_type":"markdown","metadata":{},"source":["# Save the model"]},{"cell_type":"code","execution_count":13,"metadata":{"execution":{"iopub.execute_input":"2023-12-13T14:30:38.221169Z","iopub.status.busy":"2023-12-13T14:30:38.216999Z","iopub.status.idle":"2023-12-13T14:30:38.960835Z","shell.execute_reply":"2023-12-13T14:30:38.959619Z","shell.execute_reply.started":"2023-12-13T14:30:38.220995Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["models/SubmissionModel/fingerprint.pb\n","models/SubmissionModel/keras_metadata.pb\n","models/SubmissionModel/saved_model.pb\n","models/SubmissionModel/variables/variables.data-00000-of-00001\n","models/SubmissionModel/variables/variables.index\n","models/SubmissionModel/SubmissionModel/fingerprint.pb\n","models/SubmissionModel/SubmissionModel/keras_metadata.pb\n","models/SubmissionModel/SubmissionModel/saved_model.pb\n","models/SubmissionModel/SubmissionModel/variables/variables.data-00000-of-00001\n","models/SubmissionModel/SubmissionModel/variables/variables.index\n","models/SubmissionModel_20231219_000015.zip\n"]}],"source":["import os\n","import zipfile\n","from datetime import datetime\n","import tensorflow as tf\n","from os.path import basename\n","\n","# Specify the name of the submission folder\n","submission_folder = \"models/SubmissionModel\"\n","\n","# Save best epoch model\n","model.save(os.path.join(submission_folder, \"SubmissionModel\"))\n","\n","# Save the model.py file in the main directory\n","with open(\"model.py\", \"w\") as model_file:\n","    model_file.write(\"\"\"\n","\n","import os\n","import tensorflow as tf\n","import numpy as np\n","import joblib\n","from scipy.special import softmax\n","\n","class model:\n","    def __init__(self, path):\n","        # Load the models\n","        self.loaded_encoder = tf.keras.models.load_model(os.path.join(path, 'encoder_model.h5'))\n","        self.loaded_kmeans = joblib.load(os.path.join(path, 'kmeans_model.pkl'))\n","\n","    def predict(self, X, categories):\n","        num_zeros_to_add = 2776 - X.shape[1]\n","        X_padded = np.pad(X, ((0, 0), (num_zeros_to_add, 0)), mode='constant')\n","\n","\n","        # Process new data (X is your new dataset)\n","        # Make sure to preprocess X as you did with the training data\n","        encoded_X = self.loaded_encoder.predict(X_padded)\n","\n","        # Calculate distances to cluster centroids\n","        distances = self.loaded_kmeans.transform(encoded_X)\n","\n","        # Convert distances to probabilities\n","        # The shape of probabilities will be (len(X), 9)\n","        probabilities = softmax(-distances, axis=1)\n","\n","        return probabilities\n","\"\"\")\n","\n","# Create an empty metadata file in the main directory\n","open(\"metadata\", \"w\").close()\n","\n","# Get the current date and time\n","current_datetime = datetime.now()\n","formatted_datetime = current_datetime.strftime(\"%Y%m%d_%H%M%S\")\n","\n","# Create the zipfile with date and time in the name\n","zipfile_name = f\"{submission_folder}_{formatted_datetime}.zip\"\n","\n","with zipfile.ZipFile(zipfile_name, 'w') as zip_file:\n","    # Add the entire \"SubmissionModel\" folder and its contents to the archive\n","    for foldername, subfolders, filenames in os.walk(submission_folder):\n","        for filename in filenames:\n","            file_path = os.path.join(foldername, filename)\n","            arcname = os.path.relpath(file_path, submission_folder)\n","\n","            if (foldername in [\"SubmissionModel\", \"SubmissionModel/model\", \"SubmissionModel/model/variables\", \"SubmissionModel/variables\"]):\n","                continue\n","\n","            # print(foldername)\n","            print(file_path)\n","\n","            zip_file.write(file_path, arcname)\n","\n","    # Add other files to the archive (model.py and metadata)\n","    zip_file.write(\"model.py\", arcname=\"model.py\")\n","    zip_file.write(\"metadata\", arcname=\"metadata\")\n","\n","print(zipfile_name)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"datasetId":4133116,"sourceId":7156698,"sourceType":"datasetVersion"}],"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.13"}},"nbformat":4,"nbformat_minor":4}