From e554f82303d361f04b0b29a084062be04ddeeb75 Mon Sep 17 00:00:00 2001
From: stephanbreimann <stephanbreimann@gmail.com>
Date: Thu, 21 Sep 2023 21:16:03 +0200
Subject: [PATCH] Remove .ipynb checkpoint

---
 .../tutorial2_data_loader-checkpoint.ipynb    | 99 -------------------
 1 file changed, 99 deletions(-)
 delete mode 100644 tutorials/.ipynb_checkpoints/tutorial2_data_loader-checkpoint.ipynb

diff --git a/tutorials/.ipynb_checkpoints/tutorial2_data_loader-checkpoint.ipynb b/tutorials/.ipynb_checkpoints/tutorial2_data_loader-checkpoint.ipynb
deleted file mode 100644
index d5afa63d..00000000
--- a/tutorials/.ipynb_checkpoints/tutorial2_data_loader-checkpoint.ipynb
+++ /dev/null
@@ -1,99 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "source": [
-    "# Data loading\n",
-    "\n",
-    "An overview of the benchmark datasets are provided by default:"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [
-    "print(\"hallo\")\n",
-    "import aaanalysis as aa\n",
-    "df_info = aa.load_dataset()\n",
-    "print(df_info)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n",
-     "is_executing": true
-    }
-   }
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "Benchmark datasets are categorized into amino acid ('AA'), domain ('DOM'), and sequence ('SEQ') level datasets, indicated name suffix."
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [
-    "df_seq1 = aa.load_dataset(name=\"AA_FURIN\")\n",
-    "df_seq2 = aa.load_dataset(name=\"SEQ_AMYLO\")\n",
-    "df_seq3 = aa.load_dataset(name=\"DOM_GSEC\")"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "For some datasets, an additional version of it is provided\n",
-    "for positive-unlabeled (PU) learning containing only positive (1) and unlabeled (2) data samples, as indicated by\n",
-    "*dataset_name_PU* (e.g., 'DOM_GSEC_PU').\n"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
-   }
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
\ No newline at end of file