aiRtrafficNN/Code/python/notebooks/03_visualize_hyperparameters.ipynb

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  {
   "cell_type": "code",
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   "id": "516828d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6fe4652f",
   "metadata": {},
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       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Model</th>\n",
       "      <th>Hidden Size</th>\n",
       "      <th>RNN Size</th>\n",
       "      <th>Step</th>\n",
       "      <th>Final Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>LSTM</td>\n",
       "      <td>16</td>\n",
       "      <td>128</td>\n",
       "      <td>10</td>\n",
       "      <td>11.110472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>LSTM</td>\n",
       "      <td>16</td>\n",
       "      <td>64</td>\n",
       "      <td>5</td>\n",
       "      <td>12.483972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>LSTM</td>\n",
       "      <td>32</td>\n",
       "      <td>128</td>\n",
       "      <td>5</td>\n",
       "      <td>13.012414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>LSTM</td>\n",
       "      <td>32</td>\n",
       "      <td>64</td>\n",
       "      <td>5</td>\n",
       "      <td>13.982024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>LSTM</td>\n",
       "      <td>16</td>\n",
       "      <td>64</td>\n",
       "      <td>10</td>\n",
       "      <td>14.689398</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>18</th>\n",
       "      <td>GRU</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>GRU</td>\n",
       "      <td>16</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>GRU</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>GRU</td>\n",
       "      <td>32</td>\n",
       "      <td>128</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>GRU</td>\n",
       "      <td>64</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Model  Hidden Size  RNN Size  Step  Final Loss\n",
       "65  LSTM           16       128    10   11.110472\n",
       "37  LSTM           16        64     5   12.483972\n",
       "41  LSTM           32       128     5   13.012414\n",
       "40  LSTM           32        64     5   13.982024\n",
       "64  LSTM           16        64    10   14.689398\n",
       "..   ...          ...       ...   ...         ...\n",
       "18   GRU           16        32     1         NaN\n",
       "19   GRU           16        64     1         NaN\n",
       "21   GRU           32        32     1         NaN\n",
       "23   GRU           32       128     1         NaN\n",
       "24   GRU           64        32     1         NaN\n",
       "\n",
       "[108 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"hyperparameter_scan_results.csv\")\n",
    "df.sort_values(\"Final Loss\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2fe2d178",
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_hyperparameter_scan(df):\n",
    "    from matplotlib.colors import Normalize, LogNorm\n",
    "\n",
    "    score_column = \"Final Loss\" # Validation Loss\n",
    "    hyperparameters = list([c for c in df.columns if c != score_column])\n",
    "    n_hyperparameters = len(hyperparameters)\n",
    "    fig, axs = plt.subplots(n_hyperparameters, n_hyperparameters, figsize=(10, 10), constrained_layout=True)\n",
    "    \n",
    "\n",
    "    cmap = plt.get_cmap('viridis')\n",
    "    cnorm = LogNorm(vmin=df[score_column].min(), vmax=300)\n",
    "\n",
    "    for i, hp1 in enumerate(hyperparameters):\n",
    "        for j, hp2 in enumerate(hyperparameters):\n",
    "            if i != j:\n",
    "                values = df.pivot_table(index=hp1, columns=hp2, values=score_column, aggfunc='min')\n",
    "                im = axs[i, j].imshow(values, aspect='auto', origin='lower', cmap=cmap, norm=cnorm)\n",
    "                axs[i, j].set_xlabel(hp2)\n",
    "                axs[i, j].set_ylabel(hp1)\n",
    "                axs[i, j].set_xticks(np.arange(len(values.columns)))\n",
    "                axs[i, j].set_xticklabels(values.columns.astype(str), rotation=45)\n",
    "                axs[i, j].set_yticks(np.arange(len(values.index)))\n",
    "                axs[i, j].set_yticklabels(values.index.astype(str))\n",
    "                #axs[i, j].set_title(f'{hp1} vs {hp2}')\n",
    "            else:\n",
    "                values = df.groupby(hp1)[score_column].min()\n",
    "                max_values = df.groupby(hp1)[score_column].max()\n",
    "                axs[i, j].bar(values.index.astype(str), values.values)\n",
    "                #axs[i, j].plot(max_values.index.astype(str), max_values.values, ls='--')\n",
    "                #axs[i, j].set_yscale('log')\n",
    "                axs[i, j].set_xlabel(hp1)\n",
    "                axs[i, j].set_ylabel(score_column)\n",
    "                #axs[i, j].set_title(f'{hp1}')\n",
    "                axs[i, j].tick_params(axis='x', rotation=45)\n",
    "\n",
    "\n",
    "    #fig.subplots_adjust(right=0.88)   # tighten/loosen as needed\n",
    "    cbar = fig.colorbar(im, ax=axs, orientation='vertical', fraction=0.02, pad=0.04)\n",
    "    cbar.set_label(score_column)\n",
    "    #fig.tight_layout()\n",
    "    return fig, axs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "495393a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 1000x1000 with 17 Axes>,\n",
       " array([[<Axes: xlabel='Model', ylabel='Final Loss'>,\n",
       "         <Axes: xlabel='Hidden Size', ylabel='Model'>,\n",
       "         <Axes: xlabel='RNN Size', ylabel='Model'>,\n",
       "         <Axes: xlabel='Step', ylabel='Model'>],\n",
       "        [<Axes: xlabel='Model', ylabel='Hidden Size'>,\n",
       "         <Axes: xlabel='Hidden Size', ylabel='Final Loss'>,\n",
       "         <Axes: xlabel='RNN Size', ylabel='Hidden Size'>,\n",
       "         <Axes: xlabel='Step', ylabel='Hidden Size'>],\n",
       "        [<Axes: xlabel='Model', ylabel='RNN Size'>,\n",
       "         <Axes: xlabel='Hidden Size', ylabel='RNN Size'>,\n",
       "         <Axes: xlabel='RNN Size', ylabel='Final Loss'>,\n",
       "         <Axes: xlabel='Step', ylabel='RNN Size'>],\n",
       "        [<Axes: xlabel='Model', ylabel='Step'>,\n",
       "         <Axes: xlabel='Hidden Size', ylabel='Step'>,\n",
       "         <Axes: xlabel='RNN Size', ylabel='Step'>,\n",
       "         <Axes: xlabel='Step', ylabel='Final Loss'>]], dtype=object))"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x1000 with 17 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_hyperparameter_scan(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4624b0f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
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        {
         "name": "index",
         "rawType": "int64",
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         "name": "Hidden Layers",
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         "name": "RNN Layers",
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         "type": "integer"
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        {
         "name": "Dropout",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "Final Loss",
         "rawType": "float64",
         "type": "float"
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       "ref": "5164288c-9a19-48ba-b26f-d77def1cc469",
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       ],
       "shape": {
        "columns": 4,
        "rows": 64
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hidden Layers</th>\n",
       "      <th>RNN Layers</th>\n",
       "      <th>Dropout</th>\n",
       "      <th>Final Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>0.00</td>\n",
       "      <td>15.143101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.426424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.05</td>\n",
       "      <td>17.294107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2160.664361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2160.667680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2160.668174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2160.670699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.15</td>\n",
       "      <td>2160.677020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Hidden Layers  RNN Layers  Dropout   Final Loss\n",
       "0               0           2     0.00    13.573153\n",
       "4               0           3     0.00    13.700147\n",
       "16              1           2     0.00    15.143101\n",
       "40              2           4     0.00    16.426424\n",
       "17              1           2     0.05    17.294107\n",
       "..            ...         ...      ...          ...\n",
       "29              1           5     0.05  2160.664361\n",
       "46              2           5     0.10  2160.667680\n",
       "57              4           4     0.05  2160.668174\n",
       "61              4           5     0.05  2160.670699\n",
       "47              2           5     0.15  2160.677020\n",
       "\n",
       "[64 rows x 4 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mode2 = pd.read_csv(\"hyperparameter_scan_results_mode2.csv\")\n",
    "df_mode2 = df_mode2.drop(columns=[\"Model\"])\n",
    "df_mode2.sort_values(\"Final Loss\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9bd5b3b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 1000x1000 with 10 Axes>,\n",
       " array([[<Axes: xlabel='Hidden Layers', ylabel='Final Loss'>,\n",
       "         <Axes: xlabel='RNN Layers', ylabel='Hidden Layers'>,\n",
       "         <Axes: xlabel='Dropout', ylabel='Hidden Layers'>],\n",
       "        [<Axes: xlabel='Hidden Layers', ylabel='RNN Layers'>,\n",
       "         <Axes: xlabel='RNN Layers', ylabel='Final Loss'>,\n",
       "         <Axes: xlabel='Dropout', ylabel='RNN Layers'>],\n",
       "        [<Axes: xlabel='Hidden Layers', ylabel='Dropout'>,\n",
       "         <Axes: xlabel='RNN Layers', ylabel='Dropout'>,\n",
       "         <Axes: xlabel='Dropout', ylabel='Final Loss'>]], dtype=object))"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_hyperparameter_scan(df_mode2)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "027d3c9e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "adsbpy",
   "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": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}