comparison notebooks/sensitivity_experiment.ipynb @ 19:0bba6f63f4fd branch-tests

some edits in notebook

 {
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",

     "import scripts.outliers as outliers"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "OUTPUT_FILES = load_dataset.OUTPUT_FILES\n",
-    "n_iters = 10"
+    "n_iters = 10\n",
+    "df = load_dataset.sample_dataset(csv_file=load_dataset.METADATA_FILE)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
-    "df = load_dataset.sample_dataset(csv_file=load_dataset.METADATA_FILE)\n",
     "for n in range(n_iters):\n",
     "    print \"iteration %d\" % n\n",
     "    load_dataset.OUTPUT_FILES = [output_file.split('.pickle')[0]+'_'+str(n)+'.pickle' for \n",
     "                                 output_file in OUTPUT_FILES]\n",
     "    load_dataset.features_for_train_test_sets(df, write_output=True)"

  "metadata": {
   "kernelspec": {
    "display_name": "Python 2",
    "language": "python",
    "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 1
 }