analysis_ann_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2a684798-860c-44fe-811b-08f392f372c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import numpy.random as rng\n",
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "import glob\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ecd14679-7195-4ca6-b134-1d0cab4ba898",
   "metadata": {},
   "outputs": [],
   "source": [
    "file = 'r490_results/null.npz'\n",
    "d = np.load(file, allow_pickle=True)\n",
    "null_ae = d['split_ae']\n",
    "null_mae_by_output = np.mean(null_ae, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a46a0584-d993-4b36-8033-0ed997d84e54",
   "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>model</th>\n",
       "      <th>repeat</th>\n",
       "      <th>output</th>\n",
       "      <th>rel_output_mae</th>\n",
       "      <th>output_mae</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Linear</td>\n",
       "      <td>0</td>\n",
       "      <td>Hydrogen</td>\n",
       "      <td>0.742671</td>\n",
       "      <td>1.663161e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Linear</td>\n",
       "      <td>0</td>\n",
       "      <td>Methane</td>\n",
       "      <td>0.674798</td>\n",
       "      <td>7.581287e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Linear</td>\n",
       "      <td>0</td>\n",
       "      <td>Ethane</td>\n",
       "      <td>0.410795</td>\n",
       "      <td>2.487413e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Linear</td>\n",
       "      <td>0</td>\n",
       "      <td>Propane</td>\n",
       "      <td>0.128532</td>\n",
       "      <td>2.973766e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Linear</td>\n",
       "      <td>0</td>\n",
       "      <td>i-Butane</td>\n",
       "      <td>0.255421</td>\n",
       "      <td>1.849789e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>755</th>\n",
       "      <td>ANN</td>\n",
       "      <td>9</td>\n",
       "      <td>Mcyclopentan</td>\n",
       "      <td>0.012484</td>\n",
       "      <td>2.366835e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>756</th>\n",
       "      <td>ANN</td>\n",
       "      <td>9</td>\n",
       "      <td>Benzene</td>\n",
       "      <td>0.761445</td>\n",
       "      <td>5.496720e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>757</th>\n",
       "      <td>ANN</td>\n",
       "      <td>9</td>\n",
       "      <td>Cyclohexane</td>\n",
       "      <td>0.012786</td>\n",
       "      <td>2.374488e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>ANN</td>\n",
       "      <td>9</td>\n",
       "      <td>2-Mhexane</td>\n",
       "      <td>0.020780</td>\n",
       "      <td>4.899968e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>759</th>\n",
       "      <td>ANN</td>\n",
       "      <td>9</td>\n",
       "      <td>n-Heptane</td>\n",
       "      <td>0.021660</td>\n",
       "      <td>4.978858e-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>760 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       model  repeat        output  rel_output_mae    output_mae\n",
       "0    Linear        0      Hydrogen        0.742671  1.663161e-06\n",
       "1    Linear        0       Methane        0.674798  7.581287e-05\n",
       "2    Linear        0        Ethane        0.410795  2.487413e-04\n",
       "3    Linear        0       Propane        0.128532  2.973766e-04\n",
       "4    Linear        0      i-Butane        0.255421  1.849789e-04\n",
       "..       ...     ...           ...             ...           ...\n",
       "755      ANN       9  Mcyclopentan        0.012484  2.366835e-05\n",
       "756      ANN       9       Benzene        0.761445  5.496720e-07\n",
       "757      ANN       9   Cyclohexane        0.012786  2.374488e-05\n",
       "758      ANN       9     2-Mhexane        0.020780  4.899968e-05\n",
       "759      ANN       9     n-Heptane        0.021660  4.978858e-05\n",
       "\n",
       "[760 rows x 5 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files = ['r490_results/linear_all_effects.npz',\n",
    "         'r490_results/quadratic_all_effects.npz',\n",
    "         'r490_results/rbfm.npz',\n",
    "         'r490_results/ann.npz']\n",
    "\n",
    "rows = []\n",
    "for file in files:\n",
    "    d = np.load(file, allow_pickle=True)\n",
    "    cfg = d['cfg'].tolist()\n",
    "    output_cols = cfg['output_cols']\n",
    "    labels = [l.replace('process_','') for l in output_cols]\n",
    "\n",
    "    ae = d['split_ae']\n",
    "    \n",
    "    mae_by_output = np.mean(ae, axis=1)\n",
    "    \n",
    "    rel_mae_by_output = mae_by_output / null_mae_by_output\n",
    "    n_repeats, n_outputs = rel_mae_by_output.shape\n",
    "    \n",
    "    for r in range(n_repeats):\n",
    "        for o in range(n_outputs):\n",
    "            rows.append({\n",
    "                \"model\" : cfg['model']['name'].replace('(All Effects)',''),\n",
    "                \"repeat\" : r,\n",
    "                \"output\" : labels[o],\n",
    "                \"rel_output_mae\" : rel_mae_by_output[r, o],\n",
    "                \"output_mae\" : mae_by_output[r, o],\n",
    "            })\n",
    "\n",
    "results = pd.DataFrame(rows)\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6711855c-678c-4e20-97ec-4fb80253824f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.catplot(y=\"rel_output_mae\", x=\"output\", hue=\"model\", \n",
    "                data=results, kind='bar', ci='sd', aspect=4, height=5, \n",
    "                legend=False)\n",
    "ax = g.ax\n",
    "ax.tick_params(axis='x', labelsize=28, rotation=90)\n",
    "ax.tick_params(axis='y', labelsize=32)\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('RMAE', fontsize=36, fontweight='bold')\n",
    "ax.legend(frameon=False)\n",
    "ax.grid(True)\n",
    "ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.70),\n",
    "          fancybox=False, shadow=False, frameon=False, ncol=5,\n",
    "         fontsize=28)\n",
    "\n",
    "plt.savefig(\"tmp/fig5.tiff\", bbox_inches='tight', transparent=True, pad_inches=0, dpi=300, pil_kwargs={\"compression\": \"tiff_lzw\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfd2dbb2-ea72-40f9-aac6-d17f0212378c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}