oguiza/scratchpad.ipynb Secret

## scratchpad.ipynb
{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "scratchpad",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/oguiza/9c421666b6bc0d1201f940e89b8963e0/scratchpad.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JA6lJddWXiaz"
      },
      "source": [
        "# # **************** UNCOMMENT AND RUN THIS CELL IF YOU NEED TO INSTALL/ UPGRADE TSAI ****************\n",
        "# stable = False # Set to True for latest pip version or False for main branch in GitHub\n",
        "# !pip install {\"tsai -U\" if stable else \"git+https://github.com/timeseriesAI/tsai.git\"} >> /dev/null\n",
        "# # ⚠️ REMEMBER TO RESTART (NOT RECONNECT/ RESET) THE KERNEL/ RUNTIME ONCE THE INSTALLATION IS FINISHED"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bPD582IZXia9",
        "outputId": "63a41f9d-4854-4ef8-a508-2ed7d1c99c4e"
      },
      "source": [
        "from tsai.all import *\n",
        "my_setup()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "os             : Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic\n",
            "python         : 3.7.12\n",
            "tsai           : 0.2.23\n",
            "fastai         : 2.5.2\n",
            "fastcore       : 1.3.26\n",
            "torch          : 1.9.0+cu102\n",
            "n_cpus         : 2\n",
            "device         : cuda (Tesla T4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UXbNA-u-bsRB",
        "outputId": "420cc6ac-6b6d-496e-b5d9-8a19024231b2"
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "dsid = 'AppliancesEnergy'\n",
        "fname = 'MiniRocketRegressor'\n",
        "X_train, y_train, X_test, y_test = get_Monash_regression_data(dsid)\n",
        "rmse_scorer = make_scorer(mean_squared_error, greater_is_better=False)\n",
        "reg = MiniRocketRegressor(scoring=rmse_scorer)\n",
        "reg.fit(X_train, y_train)\n",
        "reg.save(fname)\n",
        "del reg\n",
        "reg = load_minirocket(fname)\n",
        "y_pred = reg.predict(X_test)\n",
        "mean_squared_error(y_test, y_pred, squared=False)"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.416255384120372"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "yDY9Z9MceZqQ",
        "outputId": "878cd572-88c1-4479-96ff-2a415c88bcb8"
      },
      "source": [
        "X, y, splits = get_regression_data('AppliancesEnergy', split_data=False)\n",
        "tfms  = [None, [TSRegression()]]\n",
        "batch_tfms = TSStandardize(by_sample=True, by_var=True)\n",
        "dls = get_ts_dls(X, y, splits=splits, tfms=tfms, batch_tfms=batch_tfms)\n",
        "learn = ts_learner(dls, InceptionTime, metrics=[mae, rmse], cbs=ShowGraph())\n",
        "learn.fit_one_cycle(50, 1e-2)"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>mae</th>\n",
              "      <th>_rmse</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>226.792053</td>\n",
              "      <td>205.204376</td>\n",
              "      <td>13.905153</td>\n",
              "      <td>14.324956</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>224.206360</td>\n",
              "      <td>204.450150</td>\n",
              "      <td>13.878057</td>\n",
              "      <td>14.298607</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>220.840118</td>\n",
              "      <td>203.209518</td>\n",
              "      <td>13.833444</td>\n",
              "      <td>14.255157</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>219.061264</td>\n",
              "      <td>201.069016</td>\n",
              "      <td>13.756547</td>\n",
              "      <td>14.179881</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>215.599152</td>\n",
              "      <td>197.094727</td>\n",
              "      <td>13.614415</td>\n",
              "      <td>14.039042</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>209.452087</td>\n",
              "      <td>190.965317</td>\n",
              "      <td>13.395075</td>\n",
              "      <td>13.819020</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>207.532104</td>\n",
              "      <td>178.727356</td>\n",
              "      <td>12.960852</td>\n",
              "      <td>13.368895</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7</td>\n",
              "      <td>203.939224</td>\n",
              "      <td>128.039978</td>\n",
              "      <td>10.951522</td>\n",
              "      <td>11.315475</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>196.877792</td>\n",
              "      <td>79.835579</td>\n",
              "      <td>8.342925</td>\n",
              "      <td>8.935076</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9</td>\n",
              "      <td>192.271622</td>\n",
              "      <td>59.594994</td>\n",
              "      <td>7.371047</td>\n",
              "      <td>7.719779</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10</td>\n",
              "      <td>187.508850</td>\n",
              "      <td>58.391758</td>\n",
              "      <td>7.131920</td>\n",
              "      <td>7.641450</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11</td>\n",
              "      <td>181.260468</td>\n",
              "      <td>30.515665</td>\n",
              "      <td>4.958423</td>\n",
              "      <td>5.524098</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12</td>\n",
              "      <td>173.017410</td>\n",
              "      <td>76.332054</td>\n",
              "      <td>4.990339</td>\n",
              "      <td>8.736821</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13</td>\n",
              "      <td>166.045578</td>\n",
              "      <td>64.007027</td>\n",
              "      <td>4.081662</td>\n",
              "      <td>8.000439</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14</td>\n",
              "      <td>158.187759</td>\n",
              "      <td>38.718880</td>\n",
              "      <td>4.689670</td>\n",
              "      <td>6.222450</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15</td>\n",
              "      <td>149.900009</td>\n",
              "      <td>60.267765</td>\n",
              "      <td>6.541135</td>\n",
              "      <td>7.763232</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16</td>\n",
              "      <td>142.141174</td>\n",
              "      <td>61.319813</td>\n",
              "      <td>5.020463</td>\n",
              "      <td>7.830697</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17</td>\n",
              "      <td>134.343307</td>\n",
              "      <td>182.910385</td>\n",
              "      <td>12.769246</td>\n",
              "      <td>13.524437</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18</td>\n",
              "      <td>126.909241</td>\n",
              "      <td>76.822014</td>\n",
              "      <td>8.051995</td>\n",
              "      <td>8.764816</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19</td>\n",
              "      <td>119.685127</td>\n",
              "      <td>51.922318</td>\n",
              "      <td>6.301226</td>\n",
              "      <td>7.205714</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>112.998672</td>\n",
              "      <td>59.771450</td>\n",
              "      <td>7.152663</td>\n",
              "      <td>7.731200</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21</td>\n",
              "      <td>106.845284</td>\n",
              "      <td>73.231941</td>\n",
              "      <td>8.068952</td>\n",
              "      <td>8.557567</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22</td>\n",
              "      <td>101.144341</td>\n",
              "      <td>84.406425</td>\n",
              "      <td>8.712383</td>\n",
              "      <td>9.187297</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23</td>\n",
              "      <td>95.932877</td>\n",
              "      <td>72.701279</td>\n",
              "      <td>7.995406</td>\n",
              "      <td>8.526505</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24</td>\n",
              "      <td>91.247849</td>\n",
              "      <td>65.825943</td>\n",
              "      <td>7.567620</td>\n",
              "      <td>8.113318</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25</td>\n",
              "      <td>86.954109</td>\n",
              "      <td>72.659882</td>\n",
              "      <td>7.991950</td>\n",
              "      <td>8.524077</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26</td>\n",
              "      <td>83.046005</td>\n",
              "      <td>82.660957</td>\n",
              "      <td>8.550150</td>\n",
              "      <td>9.091806</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27</td>\n",
              "      <td>79.481560</td>\n",
              "      <td>88.215637</td>\n",
              "      <td>8.800864</td>\n",
              "      <td>9.392318</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28</td>\n",
              "      <td>76.075066</td>\n",
              "      <td>92.786499</td>\n",
              "      <td>8.949508</td>\n",
              "      <td>9.632574</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29</td>\n",
              "      <td>72.896385</td>\n",
              "      <td>92.283356</td>\n",
              "      <td>8.824279</td>\n",
              "      <td>9.606422</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>69.941101</td>\n",
              "      <td>88.002281</td>\n",
              "      <td>8.542739</td>\n",
              "      <td>9.380953</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31</td>\n",
              "      <td>67.089935</td>\n",
              "      <td>80.234444</td>\n",
              "      <td>8.110345</td>\n",
              "      <td>8.957368</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32</td>\n",
              "      <td>64.367821</td>\n",
              "      <td>69.854042</td>\n",
              "      <td>7.495937</td>\n",
              "      <td>8.357873</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33</td>\n",
              "      <td>61.815533</td>\n",
              "      <td>57.479046</td>\n",
              "      <td>6.669739</td>\n",
              "      <td>7.581494</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34</td>\n",
              "      <td>59.410080</td>\n",
              "      <td>48.955166</td>\n",
              "      <td>6.050911</td>\n",
              "      <td>6.996797</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35</td>\n",
              "      <td>57.135075</td>\n",
              "      <td>42.325291</td>\n",
              "      <td>5.631151</td>\n",
              "      <td>6.505789</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36</td>\n",
              "      <td>54.998165</td>\n",
              "      <td>33.944885</td>\n",
              "      <td>5.027068</td>\n",
              "      <td>5.826224</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37</td>\n",
              "      <td>52.968220</td>\n",
              "      <td>27.786221</td>\n",
              "      <td>4.534241</td>\n",
              "      <td>5.271264</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38</td>\n",
              "      <td>51.050636</td>\n",
              "      <td>21.790546</td>\n",
              "      <td>3.958665</td>\n",
              "      <td>4.668035</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39</td>\n",
              "      <td>49.232738</td>\n",
              "      <td>17.112869</td>\n",
              "      <td>3.445208</td>\n",
              "      <td>4.136770</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40</td>\n",
              "      <td>47.514500</td>\n",
              "      <td>13.508978</td>\n",
              "      <td>2.995980</td>\n",
              "      <td>3.675456</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41</td>\n",
              "      <td>45.870777</td>\n",
              "      <td>11.165052</td>\n",
              "      <td>2.676208</td>\n",
              "      <td>3.341415</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42</td>\n",
              "      <td>44.305927</td>\n",
              "      <td>9.752919</td>\n",
              "      <td>2.458417</td>\n",
              "      <td>3.122966</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43</td>\n",
              "      <td>42.814217</td>\n",
              "      <td>8.714581</td>\n",
              "      <td>2.277706</td>\n",
              "      <td>2.952047</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44</td>\n",
              "      <td>41.393673</td>\n",
              "      <td>8.061415</td>\n",
              "      <td>2.158374</td>\n",
              "      <td>2.839263</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45</td>\n",
              "      <td>40.036495</td>\n",
              "      <td>7.636307</td>\n",
              "      <td>2.075963</td>\n",
              "      <td>2.763387</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46</td>\n",
              "      <td>38.753471</td>\n",
              "      <td>7.433023</td>\n",
              "      <td>2.028042</td>\n",
              "      <td>2.726357</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47</td>\n",
              "      <td>37.516342</td>\n",
              "      <td>7.241013</td>\n",
              "      <td>1.984613</td>\n",
              "      <td>2.690913</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48</td>\n",
              "      <td>36.333755</td>\n",
              "      <td>7.068938</td>\n",
              "      <td>1.955172</td>\n",
              "      <td>2.658747</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49</td>\n",
              "      <td>35.202007</td>\n",
              "      <td>6.963216</td>\n",
              "      <td>1.935911</td>\n",
              "      <td>2.638791</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "DOuK0GSvaHZx",
        "outputId": "d2e887c6-8615-4d55-a1c2-a5cfb7d4f87b"
      },
      "source": [
        "X, y, splits = get_regression_data('AppliancesEnergy', split_data=False)\n",
        "tfms  = [None, [TSRegression()]]\n",
        "batch_tfms = TSStandardize(by_sample=True, by_var=True)\n",
        "dls = get_ts_dls(X, y, splits=splits, tfms=tfms, batch_tfms=batch_tfms)\n",
        "learn = ts_learner(dls, MiniRocket, metrics=[mae, rmse], cbs=ShowGraph())\n",
        "learn.fit_one_cycle(50, 1e-2)"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>mae</th>\n",
              "      <th>_rmse</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>237.001587</td>\n",
              "      <td>208.460938</td>\n",
              "      <td>14.028468</td>\n",
              "      <td>14.438178</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>228.063599</td>\n",
              "      <td>214.998367</td>\n",
              "      <td>14.265744</td>\n",
              "      <td>14.662823</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>228.668869</td>\n",
              "      <td>219.508560</td>\n",
              "      <td>14.433216</td>\n",
              "      <td>14.815820</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>221.635742</td>\n",
              "      <td>222.341797</td>\n",
              "      <td>14.545732</td>\n",
              "      <td>14.911129</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>220.004517</td>\n",
              "      <td>216.686310</td>\n",
              "      <td>14.369731</td>\n",
              "      <td>14.720268</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>217.698395</td>\n",
              "      <td>195.662079</td>\n",
              "      <td>13.632339</td>\n",
              "      <td>13.987926</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>213.779480</td>\n",
              "      <td>171.154388</td>\n",
              "      <td>12.708075</td>\n",
              "      <td>13.082599</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7</td>\n",
              "      <td>213.145981</td>\n",
              "      <td>159.910095</td>\n",
              "      <td>12.271334</td>\n",
              "      <td>12.645556</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>212.016846</td>\n",
              "      <td>172.328217</td>\n",
              "      <td>12.755374</td>\n",
              "      <td>13.127383</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9</td>\n",
              "      <td>208.279205</td>\n",
              "      <td>159.194122</td>\n",
              "      <td>12.231565</td>\n",
              "      <td>12.617215</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10</td>\n",
              "      <td>204.543533</td>\n",
              "      <td>129.102310</td>\n",
              "      <td>10.905362</td>\n",
              "      <td>11.362320</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11</td>\n",
              "      <td>199.349564</td>\n",
              "      <td>106.795273</td>\n",
              "      <td>9.840769</td>\n",
              "      <td>10.334180</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12</td>\n",
              "      <td>193.634003</td>\n",
              "      <td>84.400856</td>\n",
              "      <td>8.610626</td>\n",
              "      <td>9.186994</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13</td>\n",
              "      <td>185.229538</td>\n",
              "      <td>54.595238</td>\n",
              "      <td>6.661242</td>\n",
              "      <td>7.388859</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14</td>\n",
              "      <td>175.567276</td>\n",
              "      <td>25.918463</td>\n",
              "      <td>4.017972</td>\n",
              "      <td>5.091018</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15</td>\n",
              "      <td>165.851517</td>\n",
              "      <td>13.140018</td>\n",
              "      <td>2.657379</td>\n",
              "      <td>3.624916</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16</td>\n",
              "      <td>156.737061</td>\n",
              "      <td>12.547411</td>\n",
              "      <td>2.789382</td>\n",
              "      <td>3.542233</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17</td>\n",
              "      <td>147.408005</td>\n",
              "      <td>16.805094</td>\n",
              "      <td>3.570681</td>\n",
              "      <td>4.099401</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18</td>\n",
              "      <td>139.464050</td>\n",
              "      <td>21.855642</td>\n",
              "      <td>4.124440</td>\n",
              "      <td>4.675002</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19</td>\n",
              "      <td>132.285049</td>\n",
              "      <td>19.716986</td>\n",
              "      <td>3.899647</td>\n",
              "      <td>4.440381</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>125.496391</td>\n",
              "      <td>16.437691</td>\n",
              "      <td>3.423708</td>\n",
              "      <td>4.054342</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21</td>\n",
              "      <td>120.082489</td>\n",
              "      <td>16.359486</td>\n",
              "      <td>3.307987</td>\n",
              "      <td>4.044686</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22</td>\n",
              "      <td>114.583427</td>\n",
              "      <td>17.554958</td>\n",
              "      <td>3.420011</td>\n",
              "      <td>4.189864</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23</td>\n",
              "      <td>109.592674</td>\n",
              "      <td>17.436329</td>\n",
              "      <td>3.422921</td>\n",
              "      <td>4.175683</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24</td>\n",
              "      <td>105.131691</td>\n",
              "      <td>15.806116</td>\n",
              "      <td>3.222171</td>\n",
              "      <td>3.975690</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25</td>\n",
              "      <td>101.224571</td>\n",
              "      <td>12.564753</td>\n",
              "      <td>2.816797</td>\n",
              "      <td>3.544680</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26</td>\n",
              "      <td>97.410103</td>\n",
              "      <td>11.656164</td>\n",
              "      <td>2.728398</td>\n",
              "      <td>3.414113</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27</td>\n",
              "      <td>93.973595</td>\n",
              "      <td>11.394341</td>\n",
              "      <td>2.692049</td>\n",
              "      <td>3.375551</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28</td>\n",
              "      <td>90.333954</td>\n",
              "      <td>12.073046</td>\n",
              "      <td>2.747023</td>\n",
              "      <td>3.474629</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29</td>\n",
              "      <td>86.962387</td>\n",
              "      <td>13.055215</td>\n",
              "      <td>2.865110</td>\n",
              "      <td>3.613200</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>83.774612</td>\n",
              "      <td>14.159659</td>\n",
              "      <td>2.931315</td>\n",
              "      <td>3.762932</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31</td>\n",
              "      <td>80.892174</td>\n",
              "      <td>14.544500</td>\n",
              "      <td>2.946310</td>\n",
              "      <td>3.813725</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32</td>\n",
              "      <td>77.957603</td>\n",
              "      <td>14.211690</td>\n",
              "      <td>2.891831</td>\n",
              "      <td>3.769840</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33</td>\n",
              "      <td>75.053345</td>\n",
              "      <td>13.997951</td>\n",
              "      <td>2.895664</td>\n",
              "      <td>3.741384</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34</td>\n",
              "      <td>72.370636</td>\n",
              "      <td>14.051746</td>\n",
              "      <td>2.966455</td>\n",
              "      <td>3.748566</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35</td>\n",
              "      <td>69.849976</td>\n",
              "      <td>14.043055</td>\n",
              "      <td>3.002430</td>\n",
              "      <td>3.747406</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36</td>\n",
              "      <td>67.466820</td>\n",
              "      <td>14.048779</td>\n",
              "      <td>3.016963</td>\n",
              "      <td>3.748170</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37</td>\n",
              "      <td>65.220924</td>\n",
              "      <td>13.976027</td>\n",
              "      <td>3.005588</td>\n",
              "      <td>3.738452</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38</td>\n",
              "      <td>63.094597</td>\n",
              "      <td>13.931993</td>\n",
              "      <td>2.986787</td>\n",
              "      <td>3.732558</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39</td>\n",
              "      <td>61.007515</td>\n",
              "      <td>13.967705</td>\n",
              "      <td>2.960946</td>\n",
              "      <td>3.737339</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40</td>\n",
              "      <td>58.977585</td>\n",
              "      <td>14.160958</td>\n",
              "      <td>2.971442</td>\n",
              "      <td>3.763105</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41</td>\n",
              "      <td>57.031113</td>\n",
              "      <td>14.480768</td>\n",
              "      <td>3.001237</td>\n",
              "      <td>3.805360</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42</td>\n",
              "      <td>55.174320</td>\n",
              "      <td>14.827596</td>\n",
              "      <td>3.034789</td>\n",
              "      <td>3.850662</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43</td>\n",
              "      <td>53.401184</td>\n",
              "      <td>15.144030</td>\n",
              "      <td>3.067060</td>\n",
              "      <td>3.891533</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44</td>\n",
              "      <td>51.696644</td>\n",
              "      <td>15.422058</td>\n",
              "      <td>3.096512</td>\n",
              "      <td>3.927093</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45</td>\n",
              "      <td>50.088947</td>\n",
              "      <td>15.645149</td>\n",
              "      <td>3.121212</td>\n",
              "      <td>3.955395</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46</td>\n",
              "      <td>48.539577</td>\n",
              "      <td>15.851865</td>\n",
              "      <td>3.149335</td>\n",
              "      <td>3.981440</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47</td>\n",
              "      <td>47.064785</td>\n",
              "      <td>16.010199</td>\n",
              "      <td>3.173254</td>\n",
              "      <td>4.001275</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48</td>\n",
              "      <td>45.663029</td>\n",
              "      <td>16.225260</td>\n",
              "      <td>3.204481</td>\n",
              "      <td>4.028059</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49</td>\n",
              "      <td>44.290531</td>\n",
              "      <td>16.363432</td>\n",
              "      <td>3.225196</td>\n",
              "      <td>4.045174</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ZLppZCq6evHF",
        "outputId": "409bc5e7-b01f-4b99-fa1e-2c28de4065e1"
      },
      "source": [
        "X, y, splits = get_regression_data('AppliancesEnergy', split_data=False)\n",
        "tfms  = [None, [TSRegression()]]\n",
        "batch_tfms = TSStandardize(by_sample=True, by_var=True)\n",
        "dls = get_ts_dls(X, y, splits=splits, tfms=tfms, batch_tfms=batch_tfms)\n",
        "learn = ts_learner(dls, TST, metrics=[mae, rmse], cbs=ShowGraph())\n",
        "learn.fit_one_cycle(50, 1e-3)"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>mae</th>\n",
              "      <th>_rmse</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>200.538803</td>\n",
              "      <td>192.977509</td>\n",
              "      <td>13.469751</td>\n",
              "      <td>13.891634</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>201.803909</td>\n",
              "      <td>187.692902</td>\n",
              "      <td>13.273568</td>\n",
              "      <td>13.700106</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>201.969223</td>\n",
              "      <td>178.544907</td>\n",
              "      <td>12.926938</td>\n",
              "      <td>13.362069</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>195.488983</td>\n",
              "      <td>163.991882</td>\n",
              "      <td>12.355181</td>\n",
              "      <td>12.805931</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>187.439484</td>\n",
              "      <td>143.406509</td>\n",
              "      <td>11.498011</td>\n",
              "      <td>11.975245</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>176.293289</td>\n",
              "      <td>117.255547</td>\n",
              "      <td>10.306914</td>\n",
              "      <td>10.828460</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>163.371246</td>\n",
              "      <td>87.078773</td>\n",
              "      <td>8.733794</td>\n",
              "      <td>9.331600</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7</td>\n",
              "      <td>150.333344</td>\n",
              "      <td>55.642868</td>\n",
              "      <td>6.718083</td>\n",
              "      <td>7.459415</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>136.566605</td>\n",
              "      <td>28.347012</td>\n",
              "      <td>4.290458</td>\n",
              "      <td>5.324191</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9</td>\n",
              "      <td>123.464722</td>\n",
              "      <td>12.274045</td>\n",
              "      <td>2.637873</td>\n",
              "      <td>3.503433</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10</td>\n",
              "      <td>112.617088</td>\n",
              "      <td>9.809037</td>\n",
              "      <td>2.547893</td>\n",
              "      <td>3.131938</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11</td>\n",
              "      <td>104.740456</td>\n",
              "      <td>12.877077</td>\n",
              "      <td>2.980263</td>\n",
              "      <td>3.588464</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12</td>\n",
              "      <td>99.044617</td>\n",
              "      <td>12.593739</td>\n",
              "      <td>2.975804</td>\n",
              "      <td>3.548766</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13</td>\n",
              "      <td>94.173042</td>\n",
              "      <td>9.433915</td>\n",
              "      <td>2.463675</td>\n",
              "      <td>3.071468</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14</td>\n",
              "      <td>89.332062</td>\n",
              "      <td>7.721815</td>\n",
              "      <td>2.038599</td>\n",
              "      <td>2.778815</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15</td>\n",
              "      <td>84.529030</td>\n",
              "      <td>9.910068</td>\n",
              "      <td>2.250435</td>\n",
              "      <td>3.148026</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16</td>\n",
              "      <td>79.497704</td>\n",
              "      <td>15.857852</td>\n",
              "      <td>3.007291</td>\n",
              "      <td>3.982192</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17</td>\n",
              "      <td>74.774376</td>\n",
              "      <td>22.718426</td>\n",
              "      <td>3.903340</td>\n",
              "      <td>4.766385</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18</td>\n",
              "      <td>70.464417</td>\n",
              "      <td>27.081909</td>\n",
              "      <td>4.420939</td>\n",
              "      <td>5.204028</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19</td>\n",
              "      <td>66.839363</td>\n",
              "      <td>26.174107</td>\n",
              "      <td>4.373625</td>\n",
              "      <td>5.116064</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>63.603817</td>\n",
              "      <td>21.176567</td>\n",
              "      <td>3.857099</td>\n",
              "      <td>4.601800</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21</td>\n",
              "      <td>60.558640</td>\n",
              "      <td>14.664628</td>\n",
              "      <td>3.097282</td>\n",
              "      <td>3.829442</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22</td>\n",
              "      <td>57.737854</td>\n",
              "      <td>9.375780</td>\n",
              "      <td>2.356421</td>\n",
              "      <td>3.061990</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23</td>\n",
              "      <td>54.923912</td>\n",
              "      <td>6.870569</td>\n",
              "      <td>1.903109</td>\n",
              "      <td>2.621177</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24</td>\n",
              "      <td>52.252052</td>\n",
              "      <td>6.300114</td>\n",
              "      <td>1.880909</td>\n",
              "      <td>2.510003</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25</td>\n",
              "      <td>49.808384</td>\n",
              "      <td>6.583514</td>\n",
              "      <td>1.992130</td>\n",
              "      <td>2.565836</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26</td>\n",
              "      <td>47.554634</td>\n",
              "      <td>7.026289</td>\n",
              "      <td>2.088683</td>\n",
              "      <td>2.650715</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27</td>\n",
              "      <td>45.487381</td>\n",
              "      <td>7.377129</td>\n",
              "      <td>2.149534</td>\n",
              "      <td>2.716087</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28</td>\n",
              "      <td>43.590996</td>\n",
              "      <td>7.524879</td>\n",
              "      <td>2.139502</td>\n",
              "      <td>2.743151</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29</td>\n",
              "      <td>41.791996</td>\n",
              "      <td>7.617151</td>\n",
              "      <td>2.111306</td>\n",
              "      <td>2.759919</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>40.087925</td>\n",
              "      <td>7.747596</td>\n",
              "      <td>2.067026</td>\n",
              "      <td>2.783451</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31</td>\n",
              "      <td>38.460709</td>\n",
              "      <td>8.043922</td>\n",
              "      <td>2.071128</td>\n",
              "      <td>2.836181</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32</td>\n",
              "      <td>36.936768</td>\n",
              "      <td>8.419789</td>\n",
              "      <td>2.110655</td>\n",
              "      <td>2.901687</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33</td>\n",
              "      <td>35.482220</td>\n",
              "      <td>8.772444</td>\n",
              "      <td>2.140088</td>\n",
              "      <td>2.961831</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34</td>\n",
              "      <td>34.134777</td>\n",
              "      <td>9.067074</td>\n",
              "      <td>2.165619</td>\n",
              "      <td>3.011158</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35</td>\n",
              "      <td>32.851696</td>\n",
              "      <td>9.225119</td>\n",
              "      <td>2.190578</td>\n",
              "      <td>3.037288</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36</td>\n",
              "      <td>31.633057</td>\n",
              "      <td>9.292966</td>\n",
              "      <td>2.204722</td>\n",
              "      <td>3.048437</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37</td>\n",
              "      <td>30.485533</td>\n",
              "      <td>9.317368</td>\n",
              "      <td>2.212294</td>\n",
              "      <td>3.052436</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38</td>\n",
              "      <td>29.404320</td>\n",
              "      <td>9.288958</td>\n",
              "      <td>2.212308</td>\n",
              "      <td>3.047779</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39</td>\n",
              "      <td>28.366749</td>\n",
              "      <td>9.155135</td>\n",
              "      <td>2.200773</td>\n",
              "      <td>3.025746</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40</td>\n",
              "      <td>27.402599</td>\n",
              "      <td>9.133373</td>\n",
              "      <td>2.200619</td>\n",
              "      <td>3.022147</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41</td>\n",
              "      <td>26.473547</td>\n",
              "      <td>9.081778</td>\n",
              "      <td>2.195899</td>\n",
              "      <td>3.013599</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42</td>\n",
              "      <td>25.586082</td>\n",
              "      <td>8.951717</td>\n",
              "      <td>2.182842</td>\n",
              "      <td>2.991942</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43</td>\n",
              "      <td>24.734398</td>\n",
              "      <td>8.839219</td>\n",
              "      <td>2.171360</td>\n",
              "      <td>2.973082</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44</td>\n",
              "      <td>23.934965</td>\n",
              "      <td>8.798779</td>\n",
              "      <td>2.166610</td>\n",
              "      <td>2.966274</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45</td>\n",
              "      <td>23.164503</td>\n",
              "      <td>8.783052</td>\n",
              "      <td>2.164547</td>\n",
              "      <td>2.963622</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46</td>\n",
              "      <td>22.424244</td>\n",
              "      <td>8.742740</td>\n",
              "      <td>2.159596</td>\n",
              "      <td>2.956812</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47</td>\n",
              "      <td>21.722931</td>\n",
              "      <td>8.774632</td>\n",
              "      <td>2.163208</td>\n",
              "      <td>2.962201</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48</td>\n",
              "      <td>21.046320</td>\n",
              "      <td>8.722167</td>\n",
              "      <td>2.156833</td>\n",
              "      <td>2.953331</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49</td>\n",
              "      <td>20.404490</td>\n",
              "      <td>8.732310</td>\n",
              "      <td>2.158666</td>\n",
              "      <td>2.955048</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RaJk4HczekRp",
        "outputId": "b676cf78-c17b-4b7d-feab-5f5a2890c498"
      },
      "source": [
        "X, y, splits = get_regression_data('AppliancesEnergy', split_data=False)\n",
        "tfms  = [None, [TSRegression()]]\n",
        "batch_tfms = TSStandardize(by_sample=True, by_var=True)\n",
        "dls = get_ts_dls(X, y, splits=splits, tfms=tfms, batch_tfms=batch_tfms)\n",
        "learn = ts_learner(dls, LSTM, metrics=[mae, rmse], cbs=ShowGraph())\n",
        "learn.fit_one_cycle(50, 1e-2)"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>mae</th>\n",
              "      <th>_rmse</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>206.351837</td>\n",
              "      <td>202.061569</td>\n",
              "      <td>13.794345</td>\n",
              "      <td>14.214836</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>211.409241</td>\n",
              "      <td>200.856033</td>\n",
              "      <td>13.751654</td>\n",
              "      <td>14.172368</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>214.377151</td>\n",
              "      <td>198.746750</td>\n",
              "      <td>13.676519</td>\n",
              "      <td>14.097757</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>215.719467</td>\n",
              "      <td>195.261154</td>\n",
              "      <td>13.550734</td>\n",
              "      <td>13.973589</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>216.583939</td>\n",
              "      <td>189.812851</td>\n",
              "      <td>13.350359</td>\n",
              "      <td>13.777259</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>218.132248</td>\n",
              "      <td>181.380615</td>\n",
              "      <td>13.031100</td>\n",
              "      <td>13.467763</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>213.615829</td>\n",
              "      <td>168.423615</td>\n",
              "      <td>12.519007</td>\n",
              "      <td>12.977813</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7</td>\n",
              "      <td>210.037704</td>\n",
              "      <td>149.488327</td>\n",
              "      <td>11.725471</td>\n",
              "      <td>12.226542</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>205.335312</td>\n",
              "      <td>125.424622</td>\n",
              "      <td>10.617587</td>\n",
              "      <td>11.199313</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9</td>\n",
              "      <td>199.017044</td>\n",
              "      <td>96.526909</td>\n",
              "      <td>9.164155</td>\n",
              "      <td>9.824811</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10</td>\n",
              "      <td>189.700073</td>\n",
              "      <td>71.498650</td>\n",
              "      <td>7.733501</td>\n",
              "      <td>8.455688</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11</td>\n",
              "      <td>180.487885</td>\n",
              "      <td>53.691986</td>\n",
              "      <td>6.476310</td>\n",
              "      <td>7.327482</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12</td>\n",
              "      <td>170.247543</td>\n",
              "      <td>39.893322</td>\n",
              "      <td>5.302370</td>\n",
              "      <td>6.316116</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13</td>\n",
              "      <td>160.421432</td>\n",
              "      <td>29.493216</td>\n",
              "      <td>4.221389</td>\n",
              "      <td>5.430766</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14</td>\n",
              "      <td>150.974075</td>\n",
              "      <td>21.868465</td>\n",
              "      <td>3.349161</td>\n",
              "      <td>4.676373</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15</td>\n",
              "      <td>142.457886</td>\n",
              "      <td>16.627176</td>\n",
              "      <td>2.935520</td>\n",
              "      <td>4.077643</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16</td>\n",
              "      <td>134.378967</td>\n",
              "      <td>13.430916</td>\n",
              "      <td>2.736243</td>\n",
              "      <td>3.664822</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17</td>\n",
              "      <td>127.064224</td>\n",
              "      <td>12.003966</td>\n",
              "      <td>2.677562</td>\n",
              "      <td>3.464674</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18</td>\n",
              "      <td>120.432091</td>\n",
              "      <td>11.926558</td>\n",
              "      <td>2.784275</td>\n",
              "      <td>3.453485</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19</td>\n",
              "      <td>114.362625</td>\n",
              "      <td>12.747293</td>\n",
              "      <td>2.935141</td>\n",
              "      <td>3.570335</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>109.034134</td>\n",
              "      <td>14.025151</td>\n",
              "      <td>3.141948</td>\n",
              "      <td>3.745017</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21</td>\n",
              "      <td>103.971939</td>\n",
              "      <td>15.324434</td>\n",
              "      <td>3.352603</td>\n",
              "      <td>3.914644</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22</td>\n",
              "      <td>99.544182</td>\n",
              "      <td>16.376276</td>\n",
              "      <td>3.515183</td>\n",
              "      <td>4.046761</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23</td>\n",
              "      <td>95.401062</td>\n",
              "      <td>17.031361</td>\n",
              "      <td>3.607006</td>\n",
              "      <td>4.126907</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24</td>\n",
              "      <td>91.785217</td>\n",
              "      <td>17.364002</td>\n",
              "      <td>3.651416</td>\n",
              "      <td>4.167014</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25</td>\n",
              "      <td>88.480927</td>\n",
              "      <td>17.367302</td>\n",
              "      <td>3.651845</td>\n",
              "      <td>4.167409</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26</td>\n",
              "      <td>85.372498</td>\n",
              "      <td>17.096506</td>\n",
              "      <td>3.615800</td>\n",
              "      <td>4.134792</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27</td>\n",
              "      <td>82.369919</td>\n",
              "      <td>16.711842</td>\n",
              "      <td>3.562976</td>\n",
              "      <td>4.088012</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28</td>\n",
              "      <td>79.618492</td>\n",
              "      <td>16.267017</td>\n",
              "      <td>3.499236</td>\n",
              "      <td>4.033239</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29</td>\n",
              "      <td>76.951385</td>\n",
              "      <td>15.805110</td>\n",
              "      <td>3.429579</td>\n",
              "      <td>3.975564</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>74.492592</td>\n",
              "      <td>15.337052</td>\n",
              "      <td>3.354747</td>\n",
              "      <td>3.916255</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31</td>\n",
              "      <td>72.190720</td>\n",
              "      <td>14.867509</td>\n",
              "      <td>3.275690</td>\n",
              "      <td>3.855841</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32</td>\n",
              "      <td>69.990555</td>\n",
              "      <td>14.413182</td>\n",
              "      <td>3.204797</td>\n",
              "      <td>3.796470</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33</td>\n",
              "      <td>67.965378</td>\n",
              "      <td>14.021154</td>\n",
              "      <td>3.141355</td>\n",
              "      <td>3.744483</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34</td>\n",
              "      <td>66.087448</td>\n",
              "      <td>13.678101</td>\n",
              "      <td>3.084011</td>\n",
              "      <td>3.698392</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35</td>\n",
              "      <td>64.222153</td>\n",
              "      <td>13.382460</td>\n",
              "      <td>3.032057</td>\n",
              "      <td>3.658204</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36</td>\n",
              "      <td>62.474812</td>\n",
              "      <td>13.130540</td>\n",
              "      <td>2.991235</td>\n",
              "      <td>3.623609</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37</td>\n",
              "      <td>60.897610</td>\n",
              "      <td>12.925591</td>\n",
              "      <td>2.960401</td>\n",
              "      <td>3.595218</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38</td>\n",
              "      <td>59.325901</td>\n",
              "      <td>12.753987</td>\n",
              "      <td>2.936123</td>\n",
              "      <td>3.571273</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39</td>\n",
              "      <td>57.870899</td>\n",
              "      <td>12.613414</td>\n",
              "      <td>2.914520</td>\n",
              "      <td>3.551537</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40</td>\n",
              "      <td>56.458553</td>\n",
              "      <td>12.506987</td>\n",
              "      <td>2.896861</td>\n",
              "      <td>3.536522</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41</td>\n",
              "      <td>55.250797</td>\n",
              "      <td>12.429289</td>\n",
              "      <td>2.883091</td>\n",
              "      <td>3.525520</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42</td>\n",
              "      <td>53.931450</td>\n",
              "      <td>12.372711</td>\n",
              "      <td>2.872506</td>\n",
              "      <td>3.517487</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43</td>\n",
              "      <td>52.725788</td>\n",
              "      <td>12.332342</td>\n",
              "      <td>2.865457</td>\n",
              "      <td>3.511743</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44</td>\n",
              "      <td>51.533234</td>\n",
              "      <td>12.304527</td>\n",
              "      <td>2.860780</td>\n",
              "      <td>3.507781</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45</td>\n",
              "      <td>50.392597</td>\n",
              "      <td>12.285708</td>\n",
              "      <td>2.857538</td>\n",
              "      <td>3.505097</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46</td>\n",
              "      <td>49.456322</td>\n",
              "      <td>12.273997</td>\n",
              "      <td>2.855489</td>\n",
              "      <td>3.503427</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47</td>\n",
              "      <td>48.463306</td>\n",
              "      <td>12.267601</td>\n",
              "      <td>2.854358</td>\n",
              "      <td>3.502513</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48</td>\n",
              "      <td>47.489441</td>\n",
              "      <td>12.264785</td>\n",
              "      <td>2.853858</td>\n",
              "      <td>3.502111</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49</td>\n",
              "      <td>46.521236</td>\n",
              "      <td>12.264085</td>\n",
              "      <td>2.853734</td>\n",
              "      <td>3.502012</td>\n",
              "      <td>00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
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              "<IPython.core.display.HTML object>"
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ojJyMtBZYX4M"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}