example_nb.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from util import read_experiment_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>experiment_id</th>\n",
       "      <th>hyperparameters.data.num_epochs</th>\n",
       "      <th>hyperparameters.data.shuffle</th>\n",
       "      <th>hyperparameters.model.l1_regularization_strength</th>\n",
       "      <th>hyperparameters.model.l2_regularization_strength</th>\n",
       "      <th>hyperparameters.model.learning_rate</th>\n",
       "      <th>interval_seconds</th>\n",
       "      <th>metrics.accuracy</th>\n",
       "      <th>metrics.accuracy_baseline</th>\n",
       "      <th>metrics.auc</th>\n",
       "      <th>metrics.auc_precision_recall</th>\n",
       "      <th>metrics.average_loss</th>\n",
       "      <th>metrics.global_step</th>\n",
       "      <th>metrics.label/mean</th>\n",
       "      <th>metrics.loss</th>\n",
       "      <th>metrics.precision</th>\n",
       "      <th>metrics.prediction/mean</th>\n",
       "      <th>metrics.recall</th>\n",
       "      <th>partition</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60_mins_defaults</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3600</td>\n",
       "      <td>0.802989</td>\n",
       "      <td>0.802989</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.598505</td>\n",
       "      <td>0.693147</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.197011</td>\n",
       "      <td>85.026077</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60_mins_defaults</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3600</td>\n",
       "      <td>0.799163</td>\n",
       "      <td>0.747280</td>\n",
       "      <td>0.766955</td>\n",
       "      <td>0.582605</td>\n",
       "      <td>0.523038</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.252720</td>\n",
       "      <td>62.503010</td>\n",
       "      <td>0.684524</td>\n",
       "      <td>0.186920</td>\n",
       "      <td>0.380795</td>\n",
       "      <td>1</td>\n",
       "      <td>3600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60_mins_defaults</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3600</td>\n",
       "      <td>0.785795</td>\n",
       "      <td>0.688839</td>\n",
       "      <td>0.786961</td>\n",
       "      <td>0.628643</td>\n",
       "      <td>0.534750</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.311161</td>\n",
       "      <td>67.760475</td>\n",
       "      <td>0.700935</td>\n",
       "      <td>0.299037</td>\n",
       "      <td>0.543478</td>\n",
       "      <td>2</td>\n",
       "      <td>7200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60_mins_defaults</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3600</td>\n",
       "      <td>0.803390</td>\n",
       "      <td>0.764407</td>\n",
       "      <td>0.818728</td>\n",
       "      <td>0.602796</td>\n",
       "      <td>0.446633</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.235593</td>\n",
       "      <td>52.702644</td>\n",
       "      <td>0.595833</td>\n",
       "      <td>0.262523</td>\n",
       "      <td>0.514389</td>\n",
       "      <td>3</td>\n",
       "      <td>10800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60_mins_defaults</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3600</td>\n",
       "      <td>0.829904</td>\n",
       "      <td>0.821674</td>\n",
       "      <td>0.798050</td>\n",
       "      <td>0.499967</td>\n",
       "      <td>0.420630</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.178326</td>\n",
       "      <td>53.328514</td>\n",
       "      <td>0.525316</td>\n",
       "      <td>0.214204</td>\n",
       "      <td>0.478846</td>\n",
       "      <td>4</td>\n",
       "      <td>14400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      experiment_id  hyperparameters.data.num_epochs  \\\n",
       "0  60_mins_defaults                                1   \n",
       "1  60_mins_defaults                                1   \n",
       "2  60_mins_defaults                                1   \n",
       "3  60_mins_defaults                                1   \n",
       "4  60_mins_defaults                                1   \n",
       "\n",
       "   hyperparameters.data.shuffle  \\\n",
       "0                         False   \n",
       "1                         False   \n",
       "2                         False   \n",
       "3                         False   \n",
       "4                         False   \n",
       "\n",
       "   hyperparameters.model.l1_regularization_strength  \\\n",
       "0                                               0.5   \n",
       "1                                               0.5   \n",
       "2                                               0.5   \n",
       "3                                               0.5   \n",
       "4                                               0.5   \n",
       "\n",
       "   hyperparameters.model.l2_regularization_strength  \\\n",
       "0                                               0.5   \n",
       "1                                               0.5   \n",
       "2                                               0.5   \n",
       "3                                               0.5   \n",
       "4                                               0.5   \n",
       "\n",
       "   hyperparameters.model.learning_rate  interval_seconds  metrics.accuracy  \\\n",
       "0                                  0.1              3600          0.802989   \n",
       "1                                  0.1              3600          0.799163   \n",
       "2                                  0.1              3600          0.785795   \n",
       "3                                  0.1              3600          0.803390   \n",
       "4                                  0.1              3600          0.829904   \n",
       "\n",
       "   metrics.accuracy_baseline  metrics.auc  metrics.auc_precision_recall  \\\n",
       "0                   0.802989     0.500000                      0.598505   \n",
       "1                   0.747280     0.766955                      0.582605   \n",
       "2                   0.688839     0.786961                      0.628643   \n",
       "3                   0.764407     0.818728                      0.602796   \n",
       "4                   0.821674     0.798050                      0.499967   \n",
       "\n",
       "   metrics.average_loss  metrics.global_step  metrics.label/mean  \\\n",
       "0              0.693147                  0.0            0.197011   \n",
       "1              0.523038                 18.0            0.252720   \n",
       "2              0.534750                 28.0            0.311161   \n",
       "3              0.446633                 35.0            0.235593   \n",
       "4              0.420630                 45.0            0.178326   \n",
       "\n",
       "   metrics.loss  metrics.precision  metrics.prediction/mean  metrics.recall  \\\n",
       "0     85.026077           0.000000                 0.500000        0.000000   \n",
       "1     62.503010           0.684524                 0.186920        0.380795   \n",
       "2     67.760475           0.700935                 0.299037        0.543478   \n",
       "3     52.702644           0.595833                 0.262523        0.514389   \n",
       "4     53.328514           0.525316                 0.214204        0.478846   \n",
       "\n",
       "   partition   time  \n",
       "0          0      0  \n",
       "1          1   3600  \n",
       "2          2   7200  \n",
       "3          3  10800  \n",
       "4          4  14400  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.set()\n",
    "\n",
    "df = read_experiment_df(\"data/experiment.log\")\n",
    "#df = df[df['time'] < 45000]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1296x1728 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_palette(\"Blues\")\n",
    "sns.set_style(\"whitegrid\")\n",
    "sns.set_context(\"notebook\", font_scale=1.2, rc={\"lines.linewidth\": 1.5})\n",
    "\n",
    "metrics = [\n",
    "    \"metrics.average_loss\",\n",
    "    \"metrics.auc_precision_recall\",\n",
    "    \"metrics.auc\",\n",
    "    \"metrics.accuracy\",\n",
    "    \"metrics.precision\"\n",
    "]\n",
    "\n",
    "f, axes = plt.subplots(len(metrics), 1)\n",
    "f.set_figheight(24)\n",
    "f.set_figwidth(18)\n",
    "\n",
    "for i, y in enumerate(metrics):\n",
    "    sns.lineplot(\n",
    "        x=\"time\", \n",
    "        y=y, \n",
    "        #col=\"interval_seconds\", \n",
    "        #kind=\"line\", \n",
    "        hue=\"interval_seconds\", \n",
    "        data=df,\n",
    "        ax=axes[i],\n",
    "        color=sns.color_palette()\n",
    "    )\n",
    "    \n",
    "plt.subplots_adjust(hspace = 0.8)"
   ]
  }
 ],
 "metadata": {
  "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": "3.4.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}