Predictive-Maintenance-Data-Production.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a1b0324d",
   "metadata": {},
   "source": [
    "# Predictive maintenance\n",
    "\n",
    "## Part 3: Inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fdb42494",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-15T11:05:39.624872Z",
     "start_time": "2021-09-15T11:05:38.294077Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"-1\" \n",
    "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import pylab as plt\n",
    "\n",
    "from tensorflow import keras as K\n",
    "\n",
    "import vaex\n",
    "import vaex.ml\n",
    "import vaex.ml.metrics\n",
    "\n",
    "import vaex.formatting\n",
    "vaex.formatting.ARRAY_TRESHHOLD = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "383900a6",
   "metadata": {},
   "source": [
    "### Define scoring metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3af4cb51",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-15T11:05:40.475797Z",
     "start_time": "2021-09-15T11:05:40.471990Z"
    }
   },
   "outputs": [],
   "source": [
    "def score_func(df, y_true, y_pred):\n",
    "    print(f'mean absolute error: {np.round(df.ml.metrics.mean_absolute_error(y_true, y_pred), decimals=3)}')\n",
    "    print(f'mean squared error: {np.round(df.ml.metrics.mean_squared_error(y_true, y_pred), decimals=3)}')\n",
    "    print(f'R2 score: {np.round(df.ml.metrics.r2_score(y_true, y_pred), decimals=3)}')\n",
    "    print()    \n",
    "    \n",
    "def r2_keras(y_true, y_pred):\n",
    "    SS_res =  K.backend.sum(K.backend.square(y_true - y_pred))\n",
    "    SS_tot = K.backend.sum(K.backend.square(y_true - K.backend.mean(y_true)))\n",
    "    return (1 - SS_res/(SS_tot + K.backend.epsilon()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c50662fd",
   "metadata": {},
   "source": [
    "### Load the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7abcb9ac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-15T11:05:45.096465Z",
     "start_time": "2021-09-15T11:05:44.663974Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>#                                 </th><th>unit_number  </th><th>time_in_cycles  </th><th>setting_1  </th><th>setting_2  </th><th>setting_3  </th><th>T2    </th><th>T24   </th><th>T30    </th><th>T50    </th><th>P2   </th><th>P15  </th><th>P30   </th><th>Nf     </th><th>Nc     </th><th>epr  </th><th>Ps30  </th><th>phi   </th><th>NRf    </th><th>NRc    </th><th>BPR   </th><th>farB  </th><th>htBleed  </th><th>Nf_dmd  </th><th>PCNfR_dmd  </th><th>W31  </th><th>W32    </th><th>RUL  </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td><i style='opacity: 0.6'>0</i>     </td><td>1            </td><td>1               </td><td>0.0023     </td><td>0.0003     </td><td>100.0      </td><td>518.67</td><td>643.02</td><td>1585.29</td><td>1398.21</td><td>14.62</td><td>21.61</td><td>553.9 </td><td>2388.04</td><td>9050.17</td><td>1.3  </td><td>47.2  </td><td>521.72</td><td>2388.03</td><td>8125.55</td><td>8.4052</td><td>0.03  </td><td>392      </td><td>2388    </td><td>100.0      </td><td>38.86</td><td>23.3735</td><td>142  </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1</i>     </td><td>1            </td><td>2               </td><td>-0.0027    </td><td>-0.0003    </td><td>100.0      </td><td>518.67</td><td>641.71</td><td>1588.45</td><td>1395.42</td><td>14.62</td><td>21.61</td><td>554.85</td><td>2388.01</td><td>9054.42</td><td>1.3  </td><td>47.5  </td><td>522.16</td><td>2388.06</td><td>8139.62</td><td>8.3803</td><td>0.03  </td><td>393      </td><td>2388    </td><td>100.0      </td><td>39.02</td><td>23.3916</td><td>141  </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>2</i>     </td><td>1            </td><td>3               </td><td>0.0003     </td><td>0.0001     </td><td>100.0      </td><td>518.67</td><td>642.46</td><td>1586.94</td><td>1401.34</td><td>14.62</td><td>21.61</td><td>554.11</td><td>2388.05</td><td>9056.96</td><td>1.3  </td><td>47.5  </td><td>521.97</td><td>2388.03</td><td>8130.1 </td><td>8.4441</td><td>0.03  </td><td>393      </td><td>2388    </td><td>100.0      </td><td>39.08</td><td>23.4166</td><td>140  </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>3</i>     </td><td>1            </td><td>4               </td><td>0.0042     </td><td>0.0        </td><td>100.0      </td><td>518.67</td><td>642.44</td><td>1584.12</td><td>1406.42</td><td>14.62</td><td>21.61</td><td>554.07</td><td>2388.03</td><td>9045.29</td><td>1.3  </td><td>47.28 </td><td>521.38</td><td>2388.05</td><td>8132.9 </td><td>8.3917</td><td>0.03  </td><td>391      </td><td>2388    </td><td>100.0      </td><td>39.0 </td><td>23.3737</td><td>139  </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>4</i>     </td><td>1            </td><td>5               </td><td>0.0014     </td><td>0.0        </td><td>100.0      </td><td>518.67</td><td>642.51</td><td>1587.19</td><td>1401.92</td><td>14.62</td><td>21.61</td><td>554.16</td><td>2388.01</td><td>9044.55</td><td>1.3  </td><td>47.31 </td><td>522.15</td><td>2388.03</td><td>8129.54</td><td>8.4031</td><td>0.03  </td><td>390      </td><td>2388    </td><td>100.0      </td><td>38.99</td><td>23.413 </td><td>138  </td></tr>\n",
       "<tr><td>...                               </td><td>...          </td><td>...             </td><td>...        </td><td>...        </td><td>...        </td><td>...   </td><td>...   </td><td>...    </td><td>...    </td><td>...  </td><td>...  </td><td>...   </td><td>...    </td><td>...    </td><td>...  </td><td>...   </td><td>...   </td><td>...    </td><td>...    </td><td>...   </td><td>...   </td><td>...      </td><td>...     </td><td>...        </td><td>...  </td><td>...    </td><td>...  </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>13,091</i></td><td>100          </td><td>194             </td><td>0.0049     </td><td>0.0        </td><td>100.0      </td><td>518.67</td><td>643.24</td><td>1599.45</td><td>1415.79</td><td>14.62</td><td>21.61</td><td>553.41</td><td>2388.02</td><td>9142.37</td><td>1.3  </td><td>47.69 </td><td>520.69</td><td>2388.0 </td><td>8213.28</td><td>8.4715</td><td>0.03  </td><td>394      </td><td>2388    </td><td>100.0      </td><td>38.65</td><td>23.1974</td><td>24   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>13,092</i></td><td>100          </td><td>195             </td><td>-0.0011    </td><td>-0.0001    </td><td>100.0      </td><td>518.67</td><td>643.22</td><td>1595.69</td><td>1422.05</td><td>14.62</td><td>21.61</td><td>553.22</td><td>2388.05</td><td>9140.68</td><td>1.3  </td><td>47.6  </td><td>521.05</td><td>2388.09</td><td>8210.85</td><td>8.4512</td><td>0.03  </td><td>395      </td><td>2388    </td><td>100.0      </td><td>38.57</td><td>23.2771</td><td>23   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>13,093</i></td><td>100          </td><td>196             </td><td>-0.0006    </td><td>-0.0003    </td><td>100.0      </td><td>518.67</td><td>643.44</td><td>1593.15</td><td>1406.82</td><td>14.62</td><td>21.61</td><td>553.04</td><td>2388.11</td><td>9146.81</td><td>1.3  </td><td>47.57 </td><td>521.18</td><td>2388.04</td><td>8217.24</td><td>8.4569</td><td>0.03  </td><td>395      </td><td>2388    </td><td>100.0      </td><td>38.62</td><td>23.2051</td><td>22   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>13,094</i></td><td>100          </td><td>197             </td><td>-0.0038    </td><td>0.0001     </td><td>100.0      </td><td>518.67</td><td>643.26</td><td>1594.99</td><td>1419.36</td><td>14.62</td><td>21.61</td><td>553.37</td><td>2388.07</td><td>9148.85</td><td>1.3  </td><td>47.61 </td><td>521.33</td><td>2388.08</td><td>8220.48</td><td>8.4711</td><td>0.03  </td><td>395      </td><td>2388    </td><td>100.0      </td><td>38.66</td><td>23.2699</td><td>21   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>13,095</i></td><td>100          </td><td>198             </td><td>0.0013     </td><td>0.0003     </td><td>100.0      </td><td>518.67</td><td>642.95</td><td>1601.62</td><td>1424.99</td><td>14.62</td><td>21.61</td><td>552.48</td><td>2388.06</td><td>9155.03</td><td>1.3  </td><td>47.8  </td><td>521.07</td><td>2388.05</td><td>8214.64</td><td>8.4903</td><td>0.03  </td><td>396      </td><td>2388    </td><td>100.0      </td><td>38.7 </td><td>23.1855</td><td>20   </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "#       unit_number    time_in_cycles    setting_1    setting_2    setting_3    T2      T24     T30      T50      P2     P15    P30     Nf       Nc       epr    Ps30    phi     NRf      NRc      BPR     farB    htBleed    Nf_dmd    PCNfR_dmd    W31    W32      RUL\n",
       "0       1              1                 0.0023       0.0003       100.0        518.67  643.02  1585.29  1398.21  14.62  21.61  553.9   2388.04  9050.17  1.3    47.2    521.72  2388.03  8125.55  8.4052  0.03    392        2388      100.0        38.86  23.3735  142\n",
       "1       1              2                 -0.0027      -0.0003      100.0        518.67  641.71  1588.45  1395.42  14.62  21.61  554.85  2388.01  9054.42  1.3    47.5    522.16  2388.06  8139.62  8.3803  0.03    393        2388      100.0        39.02  23.3916  141\n",
       "2       1              3                 0.0003       0.0001       100.0        518.67  642.46  1586.94  1401.34  14.62  21.61  554.11  2388.05  9056.96  1.3    47.5    521.97  2388.03  8130.1   8.4441  0.03    393        2388      100.0        39.08  23.4166  140\n",
       "3       1              4                 0.0042       0.0          100.0        518.67  642.44  1584.12  1406.42  14.62  21.61  554.07  2388.03  9045.29  1.3    47.28   521.38  2388.05  8132.9   8.3917  0.03    391        2388      100.0        39.0   23.3737  139\n",
       "4       1              5                 0.0014       0.0          100.0        518.67  642.51  1587.19  1401.92  14.62  21.61  554.16  2388.01  9044.55  1.3    47.31   522.15  2388.03  8129.54  8.4031  0.03    390        2388      100.0        38.99  23.413   138\n",
       "...     ...            ...               ...          ...          ...          ...     ...     ...      ...      ...    ...    ...     ...      ...      ...    ...     ...     ...      ...      ...     ...     ...        ...       ...          ...    ...      ...\n",
       "13,091  100            194               0.0049       0.0          100.0        518.67  643.24  1599.45  1415.79  14.62  21.61  553.41  2388.02  9142.37  1.3    47.69   520.69  2388.0   8213.28  8.4715  0.03    394        2388      100.0        38.65  23.1974  24\n",
       "13,092  100            195               -0.0011      -0.0001      100.0        518.67  643.22  1595.69  1422.05  14.62  21.61  553.22  2388.05  9140.68  1.3    47.6    521.05  2388.09  8210.85  8.4512  0.03    395        2388      100.0        38.57  23.2771  23\n",
       "13,093  100            196               -0.0006      -0.0003      100.0        518.67  643.44  1593.15  1406.82  14.62  21.61  553.04  2388.11  9146.81  1.3    47.57   521.18  2388.04  8217.24  8.4569  0.03    395        2388      100.0        38.62  23.2051  22\n",
       "13,094  100            197               -0.0038      0.0001       100.0        518.67  643.26  1594.99  1419.36  14.62  21.61  553.37  2388.07  9148.85  1.3    47.61   521.33  2388.08  8220.48  8.4711  0.03    395        2388      100.0        38.66  23.2699  21\n",
       "13,095  100            198               0.0013       0.0003       100.0        518.67  642.95  1601.62  1424.99  14.62  21.61  552.48  2388.06  9155.03  1.3    47.8    521.07  2388.05  8214.64  8.4903  0.03    396        2388      100.0        38.7   23.1855  20"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test = vaex.open('./data/data_test.hdf5')\n",
    "df_test._future()\n",
    "\n",
    "df_test"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5259eb25",
   "metadata": {},
   "source": [
    "### Transform the incoming production data (in this case the test data)\n",
    "\n",
    "This is one with a single easy step!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "944b5e9c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-15T11:06:13.819467Z",
     "start_time": "2021-09-15T11:05:55.548764Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>#                                </th><th>unit_number  </th><th>time_in_cycles  </th><th>RUL                          </th><th>minmax_scaled_T24  </th><th>minmax_scaled_T30  </th><th>minmax_scaled_T50  </th><th>minmax_scaled_P30  </th><th>minmax_scaled_Nf   </th><th>minmax_scaled_Nc   </th><th>minmax_scaled_Ps30  </th><th>minmax_scaled_phi  </th><th>minmax_scaled_NRf  </th><th>minmax_scaled_BPR  </th><th>minmax_scaled_htBleed  </th><th>minmax_scaled_W31  </th><th>minmax_scaled_W32  </th><th>feat_BPR  </th><th>feat_Ps30  </th><th>feat_T50  </th><th>htBleed  </th><th>Nc     </th><th>feat_W32  </th><th>NRf    </th><th>feat_W31  </th><th>BPR   </th><th>Ps30  </th><th>feat_NRf  </th><th>T50    </th><th>W31  </th><th>feat_P30  </th><th>feat_Nc  </th><th>T24   </th><th>feat_T24  </th><th>phi   </th><th>W32    </th><th>feat_htBleed                                                              </th><th>T30    </th><th>Nf     </th><th>feat_phi  </th><th>feat_T30  </th><th>feat_Nf  </th><th>P30   </th><th>RUL_target  </th><th>keras_prediction  </th><th>pred_value  </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td><i style='opacity: 0.6'>0</i>    </td><td>3            </td><td>1               </td><td>[194 193 192 ... 147 146 145]</td><td>0.24698795180721447</td><td>0.4115979943318086 </td><td>0.4412559081701569 </td><td>0.5716586151368758 </td><td>0.2575757575759246 </td><td>0.14322893296239786</td><td>0.5119047619047616  </td><td>0.7484008528784724 </td><td>0.3676470588236179 </td><td>0.41592920353982415</td><td>0.3333333333333333     </td><td>0.658914728682172  </td><td>0.5467453957542511 </td><td>[0.41592920353982415 0.35936898807233864 0.29549826856483424 ...\n",
       " 0.5071181223547523 0.4243939976914217 0.5475182762601021]           </td><td>[0.5119047619047616 0.35119047619047405 0.3273809523809507 ...\n",
       " 0.43452380952380776 0.4107142857142844 0.4940476190476181]            </td><td>[0.4412559081701569 0.4329844699527361 0.42758271438217293 ...\n",
       " 0.49527346387575816 0.4134031060094532 0.5104659014179609]           </td><td>392      </td><td>9053.65</td><td>[0.5467453957542511 0.5792211443835207 0.6611837480669208 ...\n",
       " 0.48474623928018934 0.40826655419654323 0.6149304091100792]           </td><td>2388.13</td><td>[0.658914728682172 0.5426356589147312 0.4263565891472849 ...\n",
       " 0.5891472868217043 0.5503875968992258 0.4418604651162796]           </td><td>8.433 </td><td>47.71 </td><td>[0.3676470588236179 0.29411764705862686 0.30882352941189256 ...\n",
       " 0.30882352941189256 0.29411764705862686 0.27941176470602985]           </td><td>1408.39</td><td>38.99</td><td>[0.5716586151368758 0.6264090177133711 0.5442834138486373 ...\n",
       " 0.5571658615136821 0.6103059581320468 0.4380032206119261]           </td><td>[0.14322893296239786 0.08866552992910422 0.14206228125280343 ...\n",
       " 0.1571838822579223 0.11554339046935265 0.14542762272278456]          </td><td>642.03</td><td>[0.24698795180721447 0.30722891566265104 0.5331325301204867 ...\n",
       " 0.31626506024095624 0.32530120481926145 0.42469879518072146]           </td><td>522.2 </td><td>23.296 </td><td>[0.3333333333333333 0.4166666666666667 0.25 ... 0.4166666666666667 0.5\n",
       " 0.4166666666666667]                                                                           </td><td>1589.92</td><td>2388.07</td><td>[0.7484008528784724 0.5330490405117339 0.6886993603411397 ...\n",
       " 0.6737739872068247 0.6076759061833571 0.6076759061833571]           </td><td>[0.4115979943318086 0.5727054719860456 0.3429256594724216 ...\n",
       " 0.3398735557008961 0.4754741661216457 0.417048179638109]           </td><td>[0.2575757575759246 0.31818181818194347 0.2424242424240754 ...\n",
       " 0.2727272727270848 0.33333333333310367 0.31818181818194347]          </td><td>553.4 </td><td>145         </td><td>[115.773]         </td><td>116         </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1</i>    </td><td>3            </td><td>2               </td><td>[193 192 191 ... 146 145 144]</td><td>0.30722891566265104</td><td>0.5727054719860456 </td><td>0.4329844699527361 </td><td>0.6264090177133711 </td><td>0.31818181818194347</td><td>0.08866552992910422</td><td>0.35119047619047405 </td><td>0.5330490405117339 </td><td>0.29411764705862686</td><td>0.35936898807233864</td><td>0.4166666666666667     </td><td>0.5426356589147312 </td><td>0.5792211443835207 </td><td>[0.35936898807233864 0.29549826856483424 0.44209311273566926 ...\n",
       " 0.4243939976914217 0.5475182762601021 0.40207772220084576]           </td><td>[0.35119047619047405 0.3273809523809507 0.4821428571428544 ...\n",
       " 0.4107142857142844 0.4940476190476181 0.3273809523809507]            </td><td>[0.4329844699527361 0.42758271438217293 0.32359891964888704 ...\n",
       " 0.4134031060094532 0.5104659014179609 0.4041188386225532]           </td><td>393      </td><td>9041.49</td><td>[0.5792211443835207 0.6611837480669208 0.6474061577393488 ...\n",
       " 0.40826655419654323 0.6149304091100792 0.5408407141852917]           </td><td>2388.08</td><td>[0.5426356589147312 0.4263565891472849 0.44961240310077416 ...\n",
       " 0.5503875968992258 0.4418604651162796 0.3565891472868226]           </td><td>8.4183</td><td>47.44 </td><td>[0.29411764705862686 0.30882352941189256 0.30882352941189256 ...\n",
       " 0.29411764705862686 0.27941176470602985 0.3529411764703522]           </td><td>1407.9 </td><td>38.84</td><td>[0.6264090177133711 0.5442834138486373 0.5571658615136821 ...\n",
       " 0.6103059581320468 0.4380032206119261 0.4589371980676422]           </td><td>[0.08866552992910422 0.14206228125280343 0.13147267342726832 ...\n",
       " 0.11554339046935265 0.14542762272278456 0.10477429776541462]          </td><td>642.23</td><td>[0.30722891566265104 0.5331325301204867 0.3644578313252849 ...\n",
       " 0.32530120481926145 0.42469879518072146 0.42168674698795305]           </td><td>521.19</td><td>23.3191</td><td>[0.4166666666666667 0.25 0.5833333333333334 ... 0.5 0.4166666666666667\n",
       " 0.4166666666666667]                                                                           </td><td>1597.31</td><td>2388.11</td><td>[0.5330490405117339 0.6886993603411397 0.6183368869936063 ...\n",
       " 0.6076759061833571 0.6076759061833571 0.569296375266523]           </td><td>[0.5727054719860456 0.3429256594724216 0.4246784390669276 ...\n",
       " 0.4754741661216457 0.417048179638109 0.3845650752125584]           </td><td>[0.31818181818194347 0.2424242424240754 0.2727272727270848 ...\n",
       " 0.33333333333310367 0.31818181818194347 0.31818181818194347]          </td><td>553.74</td><td>144         </td><td>[116.564]         </td><td>117         </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>2</i>    </td><td>3            </td><td>3               </td><td>[192 191 190 ... 145 144 143]</td><td>0.5331325301204867 </td><td>0.3429256594724216 </td><td>0.42758271438217293</td><td>0.5442834138486373 </td><td>0.2424242424240754 </td><td>0.14206228125280343</td><td>0.3273809523809507  </td><td>0.6886993603411397 </td><td>0.30882352941189256</td><td>0.29549826856483424</td><td>0.25                   </td><td>0.4263565891472849 </td><td>0.6611837480669208 </td><td>[0.29549826856483424 0.44209311273566926 0.4967295113505236 ...\n",
       " 0.5475182762601021 0.40207772220084576 0.42131589072720504]           </td><td>[0.3273809523809507 0.4821428571428544 0.4107142857142844 ...\n",
       " 0.4940476190476181 0.3273809523809507 0.3452380952380943]            </td><td>[0.42758271438217293 0.32359891964888704 0.39871708305199 ...\n",
       " 0.5104659014179609 0.4041188386225532 0.4137407157326129]           </td><td>391      </td><td>9053.39</td><td>[0.6611837480669208 0.6474061577393488 0.5317025165190481 ...\n",
       " 0.6149304091100792 0.5408407141852917 0.5584141712357666]           </td><td>2388.09</td><td>[0.4263565891472849 0.44961240310077416 0.519379844961242 ...\n",
       " 0.4418604651162796 0.3565891472868226 0.5968992248061988]           </td><td>8.4017</td><td>47.4  </td><td>[0.30882352941189256 0.30882352941189256 0.30882352941189256 ...\n",
       " 0.27941176470602985 0.3529411764703522 0.3382352941177552]           </td><td>1407.58</td><td>38.69</td><td>[0.5442834138486373 0.5571658615136821 0.605475040257655 ...\n",
       " 0.4380032206119261 0.4589371980676422 0.5136876006441192]           </td><td>[0.14206228125280343 0.13147267342726832 0.14794041102037636 ...\n",
       " 0.14542762272278456 0.10477429776541462 0.14542762272278456]          </td><td>642.98</td><td>[0.5331325301204867 0.3644578313252849 0.3825301204819296 ...\n",
       " 0.42469879518072146 0.42168674698795305 0.46987951807228173]           </td><td>521.92</td><td>23.3774</td><td>[0.25 0.5833333333333334 0.3333333333333333 ... 0.4166666666666667\n",
       " 0.4166666666666667 0.3333333333333333]                                                                           </td><td>1586.77</td><td>2388.06</td><td>[0.6886993603411397 0.6183368869936063 0.571428571428568 ...\n",
       " 0.6076759061833571 0.569296375266523 0.7270788912579981]           </td><td>[0.3429256594724216 0.4246784390669276 0.2626989317636783 ...\n",
       " 0.417048179638109 0.3845650752125584 0.38914323086985153]           </td><td>[0.2424242424240754 0.2727272727270848 0.39393939393912253 ...\n",
       " 0.31818181818194347 0.31818181818194347 0.31818181818194347]          </td><td>553.23</td><td>143         </td><td>[118.603]         </td><td>119         </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>3</i>    </td><td>3            </td><td>4               </td><td>[191 190 189 ... 144 143 142]</td><td>0.3644578313252849 </td><td>0.4246784390669276 </td><td>0.32359891964888704</td><td>0.5571658615136821 </td><td>0.2727272727270848 </td><td>0.13147267342726832</td><td>0.4821428571428544  </td><td>0.6183368869936063 </td><td>0.30882352941189256</td><td>0.44209311273566926</td><td>0.5833333333333334     </td><td>0.44961240310077416</td><td>0.6474061577393488 </td><td>[0.44209311273566926 0.4967295113505236 0.3097345132743389 ...\n",
       " 0.40207772220084576 0.42131589072720504 0.33705271258176267]           </td><td>[0.4821428571428544 0.4107142857142844 0.26785714285714035 ...\n",
       " 0.3273809523809507 0.3452380952380943 0.4464285714285715]            </td><td>[0.32359891964888704 0.39871708305199 0.41205266711681426 ...\n",
       " 0.4041188386225532 0.4137407157326129 0.4664078325455791]           </td><td>395      </td><td>9051.03</td><td>[0.6474061577393488 0.5317025165190481 0.5648812034303398 ...\n",
       " 0.5408407141852917 0.5584141712357666 0.5887811050189795]           </td><td>2388.09</td><td>[0.44961240310077416 0.519379844961242 0.5736434108527151 ...\n",
       " 0.3565891472868226 0.5968992248061988 0.44961240310077416]           </td><td>8.4398</td><td>47.66 </td><td>[0.30882352941189256 0.30882352941189256 0.3235294117644895 ...\n",
       " 0.3529411764703522 0.3382352941177552 0.3676470588236179]           </td><td>1401.42</td><td>38.72</td><td>[0.5571658615136821 0.605475040257655 0.6247987117552405 ...\n",
       " 0.4589371980676422 0.5136876006441192 0.5458937198067679]           </td><td>[0.13147267342726832 0.14794041102037636 0.142600735888004 ...\n",
       " 0.10477429776541462 0.14542762272278456 0.11177420802297312]          </td><td>642.42</td><td>[0.3644578313252849 0.3825301204819296 0.41265060240964785 ...\n",
       " 0.42168674698795305 0.46987951807228173 0.3975903614457716]           </td><td>521.59</td><td>23.3676</td><td>[0.5833333333333334 0.3333333333333333 0.5 ... 0.4166666666666667\n",
       " 0.3333333333333333 0.4166666666666667]                                                                           </td><td>1590.52</td><td>2388.08</td><td>[0.6183368869936063 0.571428571428568 0.6908315565031847 ...\n",
       " 0.569296375266523 0.7270788912579981 0.5458422174840037]           </td><td>[0.4246784390669276 0.2626989317636783 0.3937213865271397 ...\n",
       " 0.3845650752125584 0.38914323086985153 0.3884892086330911]           </td><td>[0.2727272727270848 0.39393939393912253 0.30303030303009426 ...\n",
       " 0.31818181818194347 0.31818181818194347 0.34848484848495287]          </td><td>553.31</td><td>142         </td><td>[119.574]         </td><td>120         </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>4</i>    </td><td>3            </td><td>5               </td><td>[190 189 188 ... 143 142 141]</td><td>0.3825301204819296 </td><td>0.2626989317636783 </td><td>0.39871708305199   </td><td>0.605475040257655  </td><td>0.39393939393912253</td><td>0.14794041102037636</td><td>0.4107142857142844  </td><td>0.571428571428568  </td><td>0.30882352941189256</td><td>0.4967295113505236 </td><td>0.3333333333333333     </td><td>0.519379844961242  </td><td>0.5317025165190481 </td><td>[0.4967295113505236 0.3097345132743389 0.4578684109272788 ...\n",
       " 0.42131589072720504 0.33705271258176267 0.4174682570219359]           </td><td>[0.4107142857142844 0.26785714285714035 0.464285714285715 ...\n",
       " 0.3452380952380943 0.4464285714285715 0.3988095238095249]            </td><td>[0.39871708305199 0.41205266711681426 0.25151924375422163 ...\n",
       " 0.4137407157326129 0.4664078325455791 0.4485145172180947]           </td><td>392      </td><td>9054.7 </td><td>[0.5317025165190481 0.5648812034303398 0.5748629270350041 ...\n",
       " 0.5584141712357666 0.5887811050189795 0.5335301560522978]           </td><td>2388.09</td><td>[0.519379844961242 0.5736434108527151 0.6279069767441883 ...\n",
       " 0.5968992248061988 0.44961240310077416 0.604651162790699]           </td><td>8.454 </td><td>47.54 </td><td>[0.30882352941189256 0.3235294117644895 0.30882352941189256 ...\n",
       " 0.3382352941177552 0.3676470588236179 0.3529411764703522]           </td><td>1405.87</td><td>38.81</td><td>[0.605475040257655 0.6247987117552405 0.558776167471831 ...\n",
       " 0.5136876006441192 0.5458937198067679 0.6038647342995245]           </td><td>[0.14794041102037636 0.142600735888004 0.15996589787310214 ...\n",
       " 0.14542762272278456 0.11177420802297312 0.14650453199317756]          </td><td>642.48</td><td>[0.3825301204819296 0.41265060240964785 0.43072289156625826 ...\n",
       " 0.46987951807228173 0.3975903614457716 0.41867469879518465]           </td><td>521.37</td><td>23.2853</td><td>[0.3333333333333333 0.5 0.3333333333333333 ... 0.3333333333333333\n",
       " 0.4166666666666667 0.4166666666666667]                                                                           </td><td>1583.09</td><td>2388.16</td><td>[0.571428571428568 0.6908315565031847 0.6609808102345305 ...\n",
       " 0.7270788912579981 0.5458422174840037 0.5565031982942288]           </td><td>[0.2626989317636783 0.3937213865271397 0.4619577065620231 ...\n",
       " 0.38914323086985153 0.3884892086330911 0.554392849356878]           </td><td>[0.39393939393912253 0.30303030303009426 0.2424242424240754 ...\n",
       " 0.31818181818194347 0.34848484848495287 0.33333333333310367]          </td><td>553.61</td><td>141         </td><td>[119.984]         </td><td>120         </td></tr>\n",
       "<tr><td>...                              </td><td>...          </td><td>...             </td><td>...                          </td><td>...                </td><td>...                </td><td>...                </td><td>...                </td><td>...                </td><td>...                </td><td>...                 </td><td>...                </td><td>...                </td><td>...                </td><td>...                    </td><td>...                </td><td>...                </td><td>...       </td><td>...        </td><td>...       </td><td>...      </td><td>...    </td><td>...       </td><td>...    </td><td>...       </td><td>...   </td><td>...   </td><td>...       </td><td>...    </td><td>...  </td><td>...       </td><td>...      </td><td>...   </td><td>...       </td><td>...   </td><td>...    </td><td>...                                                                       </td><td>...    </td><td>...    </td><td>...       </td><td>...       </td><td>...      </td><td>...   </td><td>...         </td><td>...               </td><td>...         </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>8,249</i></td><td>61           </td><td>106             </td><td>[74 73 72 ... 27 26 25]      </td><td>0.3644578313252849 </td><td>0.419446261172879  </td><td>0.43501012829169444</td><td>0.6586151368760198 </td><td>0.2424242424240754 </td><td>0.23382392533429258</td><td>0.2559523809523808  </td><td>0.6929637526652539 </td><td>0.1617647058819104 </td><td>0.32666410157753395</td><td>0.3333333333333333     </td><td>0.5891472868217043 </td><td>0.7721074089694896 </td><td>[0.32666410157753395 0.3889957676029266 0.3282031550596389 ...\n",
       " 0.5636783378222379 0.4724894190073097 0.5886879569065042]           </td><td>[0.2559523809523808 0.3988095238095249 0.3392857142857145 ...\n",
       " 0.5059523809523819 0.4999999999999979 0.5178571428571415]            </td><td>[0.43501012829169444 0.45712356515867525 0.5178933153274824 ...\n",
       " 0.50236326806212 0.6401080351114123 0.6347062795408491]           </td><td>392      </td><td>9073.84</td><td>[0.7721074089694896 0.5599606354562044 0.7221987909461536 ...\n",
       " 0.601715169408126 0.4612681006607599 0.4999297061717958]           </td><td>2387.99</td><td>[0.5891472868217043 0.4651162790697688 0.6124031007751936 ...\n",
       " 0.44961240310077416 0.34883720930232803 0.4418604651162796]           </td><td>8.4098</td><td>47.28 </td><td>[0.1617647058819104 0.26470588235276415 0.2500000000001672 ...\n",
       " 0.3823529411762149 0.3382352941177552 0.4264705882353433]           </td><td>1408.02</td><td>38.9 </td><td>[0.6586151368760198 0.6296296296296323 0.6296296296296323 ...\n",
       " 0.46537842190016465 0.3429951690821291 0.44605475040257914]           </td><td>[0.23382392533429258 0.17450417302342788 0.19738849501929312 ...\n",
       " 0.20941398187202706 0.21986897603876815 0.21197164138921143]          </td><td>642.42</td><td>[0.3644578313252849 0.3915662650602348 0.5210843373494131 ...\n",
       " 0.6445783132530203 0.5843373493975837 0.5391566265060235]           </td><td>521.94</td><td>23.4563</td><td>[0.3333333333333333 0.5 0.4166666666666667 ... 0.5 0.4166666666666667 0.5]</td><td>1590.28</td><td>2388.06</td><td>[0.6929637526652539 0.5543710021321837 0.5522388059701387 ...\n",
       " 0.4541577825159962 0.3901918976545736 0.4776119402984912]           </td><td>[0.419446261172879 0.4687159363418344 0.4959668628733364 ...\n",
       " 0.5020710704163923 0.5942882057989954 0.39154131240462153]           </td><td>[0.2424242424240754 0.31818181818194347 0.2575757575759246 ...\n",
       " 0.34848484848495287 0.43939393939398114 0.39393939393912253]          </td><td>553.94</td><td>25          </td><td>[24.911]          </td><td>25          </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>8,250</i></td><td>61           </td><td>107             </td><td>[73 72 71 ... 26 25 24]      </td><td>0.3915662650602348 </td><td>0.4687159363418344 </td><td>0.45712356515867525</td><td>0.6296296296296323 </td><td>0.31818181818194347</td><td>0.17450417302342788</td><td>0.3988095238095249  </td><td>0.5543710021321837 </td><td>0.26470588235276415</td><td>0.3889957676029266 </td><td>0.5                    </td><td>0.4651162790697688 </td><td>0.5599606354562044 </td><td>[0.3889957676029266 0.3282031550596389 0.3131973836090818 ...\n",
       " 0.4724894190073097 0.5886879569065042 0.6060023085802255]           </td><td>[0.3988095238095249 0.3392857142857145 0.35119047619047405 ...\n",
       " 0.4999999999999979 0.5178571428571415 0.5059523809523819]            </td><td>[0.45712356515867525 0.5178933153274824 0.4237002025658323 ...\n",
       " 0.6401080351114123 0.6347062795408491 0.7098244429439559]           </td><td>394      </td><td>9060.62</td><td>[0.5599606354562044 0.7221987909461536 0.7057500351469111 ...\n",
       " 0.4612681006607599 0.4999297061717958 0.4758892169267526]           </td><td>2388.06</td><td>[0.4651162790697688 0.6124031007751936 0.6279069767441883 ...\n",
       " 0.34883720930232803 0.4418604651162796 0.41860465116279033]           </td><td>8.426 </td><td>47.52 </td><td>[0.26470588235276415 0.2500000000001672 0.27941176470602985 ...\n",
       " 0.3382352941177552 0.4264705882353433 0.48529411764706865]           </td><td>1409.33</td><td>38.74</td><td>[0.6296296296296323 0.6296296296296323 0.6650563607085421 ...\n",
       " 0.3429951690821291 0.44605475040257914 0.4138486312399305]           </td><td>[0.17450417302342788 0.19738849501929312 0.19693978282330218 ...\n",
       " 0.21986897603876815 0.21197164138921143 0.2100421789464291]          </td><td>642.51</td><td>[0.3915662650602348 0.5210843373494131 0.2921686746987748 ...\n",
       " 0.5843373493975837 0.5391566265060235 0.40060240963854]           </td><td>521.29</td><td>23.3054</td><td>[0.5 0.4166666666666667 0.4166666666666667 ... 0.4166666666666667 0.5 0.5]</td><td>1592.54</td><td>2388.11</td><td>[0.5543710021321837 0.5522388059701387 0.6098081023454022 ...\n",
       " 0.3901918976545736 0.4776119402984912 0.26439232409379765]           </td><td>[0.4687159363418344 0.4959668628733364 0.2692391541312427 ...\n",
       " 0.5942882057989954 0.39154131240462153 0.5718334423370384]           </td><td>[0.31818181818194347 0.2575757575759246 0.2272727272729152 ...\n",
       " 0.43939393939398114 0.39393939393912253 0.287878787878934]          </td><td>553.76</td><td>24          </td><td>[24.13]           </td><td>24          </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>8,251</i></td><td>61           </td><td>108             </td><td>[72 71 70 ... 25 24 23]      </td><td>0.5210843373494131 </td><td>0.4959668628733364 </td><td>0.5178933153274824 </td><td>0.6296296296296323 </td><td>0.2575757575759246 </td><td>0.19738849501929312</td><td>0.3392857142857145  </td><td>0.5522388059701387 </td><td>0.2500000000001672 </td><td>0.3282031550596389 </td><td>0.4166666666666667     </td><td>0.6124031007751936 </td><td>0.7221987909461536 </td><td>[0.3282031550596389 0.3131973836090818 0.3786071565986911 ...\n",
       " 0.5886879569065042 0.6060023085802255 0.6006156213928447]           </td><td>[0.3392857142857145 0.35119047619047405 0.3095238095238072 ...\n",
       " 0.5178571428571415 0.5059523809523819 0.48809523809523836]            </td><td>[0.5178933153274824 0.4237002025658323 0.4638757596218773 ...\n",
       " 0.6347062795408491 0.7098244429439559 0.6510803511141109]           </td><td>393      </td><td>9065.72</td><td>[0.7221987909461536 0.7057500351469111 0.5419654154365242 ...\n",
       " 0.4999297061717958 0.4758892169267526 0.5657247293687605]           </td><td>2388.05</td><td>[0.6124031007751936 0.6279069767441883 0.5813953488372097 ...\n",
       " 0.4418604651162796 0.41860465116279033 0.4031007751937956]           </td><td>8.4102</td><td>47.42 </td><td>[0.2500000000001672 0.27941176470602985 0.2058823529410388 ...\n",
       " 0.4264705882353433 0.48529411764706865 0.455882352941206]           </td><td>1412.93</td><td>38.93</td><td>[0.6296296296296323 0.6650563607085421 0.5330112721417047 ...\n",
       " 0.44605475040257914 0.4138486312399305 0.4428341384863179]           </td><td>[0.19738849501929312 0.19693978282330218 0.224356097998743 ...\n",
       " 0.21197164138921143 0.2100421789464291 0.2019204881988687]          </td><td>642.94</td><td>[0.5210843373494131 0.2921686746987748 0.3795180722891612 ...\n",
       " 0.5391566265060235 0.40060240963854 0.6265060240963757]           </td><td>521.28</td><td>23.4208</td><td>[0.4166666666666667 0.4166666666666667 0.5 ... 0.5 0.5 0.5833333333333334]</td><td>1593.79</td><td>2388.07</td><td>[0.5522388059701387 0.6098081023454022 0.5991471215351771 ...\n",
       " 0.4776119402984912 0.26439232409379765 0.40938166311300284]           </td><td>[0.4959668628733364 0.2692391541312427 0.30760845868759734 ...\n",
       " 0.39154131240462153 0.5718334423370384 0.6230651842162601]           </td><td>[0.2575757575759246 0.2272727272729152 0.19696969696990577 ...\n",
       " 0.39393939393912253 0.287878787878934 0.33333333333310367]          </td><td>553.76</td><td>23          </td><td>[23.257]          </td><td>23          </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>8,252</i></td><td>61           </td><td>109             </td><td>[71 70 69 ... 24 23 22]      </td><td>0.2921686746987748 </td><td>0.2692391541312427 </td><td>0.4237002025658323 </td><td>0.6650563607085421 </td><td>0.2272727272729152 </td><td>0.19693978282330218</td><td>0.35119047619047405 </td><td>0.6098081023454022 </td><td>0.27941176470602985</td><td>0.3131973836090818 </td><td>0.4166666666666667     </td><td>0.6279069767441883 </td><td>0.7057500351469111 </td><td>[0.3131973836090818 0.3786071565986911 0.5055790688726474 ...\n",
       " 0.6060023085802255 0.6006156213928447 0.6313966910350182]           </td><td>[0.35119047619047405 0.3095238095238072 0.2738095238095244 ...\n",
       " 0.5059523809523819 0.48809523809523836 0.6071428571428549]            </td><td>[0.4237002025658323 0.4638757596218773 0.34959486833220854 ...\n",
       " 0.7098244429439559 0.6510803511141109 0.5442268737339636]           </td><td>393      </td><td>9065.62</td><td>[0.7057500351469111 0.5419654154365242 0.656122592436382 ...\n",
       " 0.4758892169267526 0.5657247293687605 0.38239842541824537]           </td><td>2388.07</td><td>[0.6279069767441883 0.5813953488372097 0.5581395348837204 ...\n",
       " 0.41860465116279033 0.4031007751937956 0.2713178294573656]           </td><td>8.4063</td><td>47.44 </td><td>[0.27941176470602985 0.2058823529410388 0.23529411764690147 ...\n",
       " 0.48529411764706865 0.455882352941206 0.4264705882353433]           </td><td>1407.35</td><td>38.95</td><td>[0.6650563607085421 0.5330112721417047 0.62318840579711 ...\n",
       " 0.4138486312399305 0.4428341384863179 0.37359098228662885]           </td><td>[0.19693978282330218 0.224356097998743 0.21852283945077897 ...\n",
       " 0.2100421789464291 0.2019204881988687 0.19770259355649822]          </td><td>642.18</td><td>[0.2921686746987748 0.3795180722891612 0.3825301204819296 ...\n",
       " 0.40060240963854 0.6265060240963757 0.43373493975902666]           </td><td>521.55</td><td>23.4091</td><td>[0.4166666666666667 0.5 0.5 ... 0.5 0.5833333333333334 0.5]               </td><td>1583.39</td><td>2388.05</td><td>[0.6098081023454022 0.5991471215351771 0.7761194029850815 ...\n",
       " 0.26439232409379765 0.40938166311300284 0.5181236673773946]           </td><td>[0.2692391541312427 0.30760845868759734 0.5554828864181371 ...\n",
       " 0.5718334423370384 0.6230651842162601 0.5565729234793962]           </td><td>[0.2272727272729152 0.19696969696990577 0.16666666666689633 ...\n",
       " 0.287878787878934 0.33333333333310367 0.43939393939398114]          </td><td>553.98</td><td>22          </td><td>[22.11]           </td><td>22          </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>8,253</i></td><td>61           </td><td>110             </td><td>[70 69 68 ... 23 22 21]      </td><td>0.3795180722891612 </td><td>0.30760845868759734</td><td>0.4638757596218773 </td><td>0.5330112721417047 </td><td>0.19696969696990577</td><td>0.224356097998743  </td><td>0.3095238095238072  </td><td>0.5991471215351771 </td><td>0.2058823529410388 </td><td>0.3786071565986911 </td><td>0.5                    </td><td>0.5813953488372097 </td><td>0.5419654154365242 </td><td>[0.3786071565986911 0.5055790688726474 0.3686033089649886 ...\n",
       " 0.6006156213928447 0.6313966910350182 0.56791073489804]           </td><td>[0.3095238095238072 0.2738095238095244 0.35714285714285804 ...\n",
       " 0.48809523809523836 0.6071428571428549 0.5714285714285721]            </td><td>[0.4638757596218773 0.34959486833220854 0.44159351789331663 ...\n",
       " 0.6510803511141109 0.5442268737339636 0.5388251181634043]           </td><td>394      </td><td>9071.73</td><td>[0.5419654154365242 0.656122592436382 0.601715169408126 ...\n",
       " 0.5657247293687605 0.38239842541824537 0.31533811331364975]           </td><td>2388.02</td><td>[0.5813953488372097 0.5581395348837204 0.6976744186046505 ...\n",
       " 0.4031007751937956 0.2713178294573656 0.38759689922480645]           </td><td>8.4233</td><td>47.37 </td><td>[0.2058823529410388 0.23529411764690147 0.1911764705884418 ...\n",
       " 0.455882352941206 0.4264705882353433 0.4264705882353433]           </td><td>1409.73</td><td>38.89</td><td>[0.5330112721417047 0.62318840579711 0.6199677938808488 ...\n",
       " 0.4428341384863179 0.37359098228662885 0.46537842190016465]           </td><td>[0.224356097998743 0.21852283945077897 0.2067217086960405 ...\n",
       " 0.2019204881988687 0.19770259355649822 0.19770259355649822]          </td><td>642.47</td><td>[0.3795180722891612 0.3825301204819296 0.5602409638554365 ...\n",
       " 0.6265060240963757 0.43373493975902666 0.6265060240963757]           </td><td>521.5 </td><td>23.2926</td><td>[0.5 0.5 0.5 ... 0.5833333333333334 0.5 0.5833333333333334]               </td><td>1585.15</td><td>2388.03</td><td>[0.5991471215351771 0.7761194029850815 0.7441364605543581 ...\n",
       " 0.40938166311300284 0.5181236673773946 0.4861407249466954]           </td><td>[0.30760845868759734 0.5554828864181371 0.4100719424460409 ...\n",
       " 0.6230651842162601 0.5565729234793962 0.700239808153478]           </td><td>[0.19696969696990577 0.16666666666689633 0.2424242424240754 ...\n",
       " 0.33333333333310367 0.43939393939398114 0.39393939393912253]          </td><td>553.16</td><td>21          </td><td>[20.423]          </td><td>20          </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "#      unit_number    time_in_cycles    RUL                            minmax_scaled_T24    minmax_scaled_T30    minmax_scaled_T50    minmax_scaled_P30    minmax_scaled_Nf     minmax_scaled_Nc     minmax_scaled_Ps30    minmax_scaled_phi    minmax_scaled_NRf    minmax_scaled_BPR    minmax_scaled_htBleed    minmax_scaled_W31    minmax_scaled_W32    feat_BPR                                                          feat_Ps30                                                       feat_T50                                                         htBleed    Nc       feat_W32                                                       NRf      feat_W31                                                        BPR     Ps30    feat_NRf                                                          T50      W31    feat_P30                                                       feat_Nc                                                           T24     feat_T24                                                         phi     W32      feat_htBleed                                                                T30      Nf       feat_phi                                                       feat_T30                                                        feat_Nf                                                          P30     RUL_target    keras_prediction    pred_value\n",
       "0      3              1                 [194 193 192 ... 147 146 145]  0.24698795180721447  0.4115979943318086   0.4412559081701569   0.5716586151368758   0.2575757575759246   0.14322893296239786  0.5119047619047616    0.7484008528784724   0.3676470588236179   0.41592920353982415  0.3333333333333333       0.658914728682172    0.5467453957542511   [0.41592920353982415 0.35936898807233864 0.29549826856483424 ...  [0.5119047619047616 0.35119047619047405 0.3273809523809507 ...  [0.4412559081701569 0.4329844699527361 0.42758271438217293 ...   392        9053.65  [0.5467453957542511 0.5792211443835207 0.6611837480669208 ...  2388.13  [0.658914728682172 0.5426356589147312 0.4263565891472849 ...    8.433   47.71   [0.3676470588236179 0.29411764705862686 0.30882352941189256 ...   1408.39  38.99  [0.5716586151368758 0.6264090177133711 0.5442834138486373 ...  [0.14322893296239786 0.08866552992910422 0.14206228125280343 ...  642.03  [0.24698795180721447 0.30722891566265104 0.5331325301204867 ...  522.2   23.296   [0.3333333333333333 0.4166666666666667 0.25 ... 0.4166666666666667 0.5      1589.92  2388.07  [0.7484008528784724 0.5330490405117339 0.6886993603411397 ...  [0.4115979943318086 0.5727054719860456 0.3429256594724216 ...   [0.2575757575759246 0.31818181818194347 0.2424242424240754 ...   553.4   145           [115.773]           116\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.5071181223547523 0.4243939976914217 0.5475182762601021]         0.43452380952380776 0.4107142857142844 0.4940476190476181]      0.49527346387575816 0.4134031060094532 0.5104659014179609]                           0.48474623928018934 0.40826655419654323 0.6149304091100792]             0.5891472868217043 0.5503875968992258 0.4418604651162796]                       0.30882352941189256 0.29411764705862686 0.27941176470602985]                      0.5571658615136821 0.6103059581320468 0.4380032206119261]      0.1571838822579223 0.11554339046935265 0.14542762272278456]               0.31626506024095624 0.32530120481926145 0.42469879518072146]                      0.4166666666666667]                                                                           0.6737739872068247 0.6076759061833571 0.6076759061833571]      0.3398735557008961 0.4754741661216457 0.417048179638109]        0.2727272727270848 0.33333333333310367 0.31818181818194347]\n",
       "1      3              2                 [193 192 191 ... 146 145 144]  0.30722891566265104  0.5727054719860456   0.4329844699527361   0.6264090177133711   0.31818181818194347  0.08866552992910422  0.35119047619047405   0.5330490405117339   0.29411764705862686  0.35936898807233864  0.4166666666666667       0.5426356589147312   0.5792211443835207   [0.35936898807233864 0.29549826856483424 0.44209311273566926 ...  [0.35119047619047405 0.3273809523809507 0.4821428571428544 ...  [0.4329844699527361 0.42758271438217293 0.32359891964888704 ...  393        9041.49  [0.5792211443835207 0.6611837480669208 0.6474061577393488 ...  2388.08  [0.5426356589147312 0.4263565891472849 0.44961240310077416 ...  8.4183  47.44   [0.29411764705862686 0.30882352941189256 0.30882352941189256 ...  1407.9   38.84  [0.6264090177133711 0.5442834138486373 0.5571658615136821 ...  [0.08866552992910422 0.14206228125280343 0.13147267342726832 ...  642.23  [0.30722891566265104 0.5331325301204867 0.3644578313252849 ...   521.19  23.3191  [0.4166666666666667 0.25 0.5833333333333334 ... 0.5 0.4166666666666667      1597.31  2388.11  [0.5330490405117339 0.6886993603411397 0.6183368869936063 ...  [0.5727054719860456 0.3429256594724216 0.4246784390669276 ...   [0.31818181818194347 0.2424242424240754 0.2727272727270848 ...   553.74  144           [116.564]           117\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.4243939976914217 0.5475182762601021 0.40207772220084576]        0.4107142857142844 0.4940476190476181 0.3273809523809507]       0.4134031060094532 0.5104659014179609 0.4041188386225532]                            0.40826655419654323 0.6149304091100792 0.5408407141852917]              0.5503875968992258 0.4418604651162796 0.3565891472868226]                       0.29411764705862686 0.27941176470602985 0.3529411764703522]                       0.6103059581320468 0.4380032206119261 0.4589371980676422]      0.11554339046935265 0.14542762272278456 0.10477429776541462]              0.32530120481926145 0.42469879518072146 0.42168674698795305]                      0.4166666666666667]                                                                           0.6076759061833571 0.6076759061833571 0.569296375266523]       0.4754741661216457 0.417048179638109 0.3845650752125584]        0.33333333333310367 0.31818181818194347 0.31818181818194347]\n",
       "2      3              3                 [192 191 190 ... 145 144 143]  0.5331325301204867   0.3429256594724216   0.42758271438217293  0.5442834138486373   0.2424242424240754   0.14206228125280343  0.3273809523809507    0.6886993603411397   0.30882352941189256  0.29549826856483424  0.25                     0.4263565891472849   0.6611837480669208   [0.29549826856483424 0.44209311273566926 0.4967295113505236 ...   [0.3273809523809507 0.4821428571428544 0.4107142857142844 ...   [0.42758271438217293 0.32359891964888704 0.39871708305199 ...    391        9053.39  [0.6611837480669208 0.6474061577393488 0.5317025165190481 ...  2388.09  [0.4263565891472849 0.44961240310077416 0.519379844961242 ...   8.4017  47.4    [0.30882352941189256 0.30882352941189256 0.30882352941189256 ...  1407.58  38.69  [0.5442834138486373 0.5571658615136821 0.605475040257655 ...   [0.14206228125280343 0.13147267342726832 0.14794041102037636 ...  642.98  [0.5331325301204867 0.3644578313252849 0.3825301204819296 ...    521.92  23.3774  [0.25 0.5833333333333334 0.3333333333333333 ... 0.4166666666666667          1586.77  2388.06  [0.6886993603411397 0.6183368869936063 0.571428571428568 ...   [0.3429256594724216 0.4246784390669276 0.2626989317636783 ...   [0.2424242424240754 0.2727272727270848 0.39393939393912253 ...   553.23  143           [118.603]           119\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.5475182762601021 0.40207772220084576 0.42131589072720504]       0.4940476190476181 0.3273809523809507 0.3452380952380943]       0.5104659014179609 0.4041188386225532 0.4137407157326129]                            0.6149304091100792 0.5408407141852917 0.5584141712357666]               0.4418604651162796 0.3565891472868226 0.5968992248061988]                       0.27941176470602985 0.3529411764703522 0.3382352941177552]                        0.4380032206119261 0.4589371980676422 0.5136876006441192]      0.14542762272278456 0.10477429776541462 0.14542762272278456]              0.42469879518072146 0.42168674698795305 0.46987951807228173]                      0.4166666666666667 0.3333333333333333]                                                        0.6076759061833571 0.569296375266523 0.7270788912579981]       0.417048179638109 0.3845650752125584 0.38914323086985153]       0.31818181818194347 0.31818181818194347 0.31818181818194347]\n",
       "3      3              4                 [191 190 189 ... 144 143 142]  0.3644578313252849   0.4246784390669276   0.32359891964888704  0.5571658615136821   0.2727272727270848   0.13147267342726832  0.4821428571428544    0.6183368869936063   0.30882352941189256  0.44209311273566926  0.5833333333333334       0.44961240310077416  0.6474061577393488   [0.44209311273566926 0.4967295113505236 0.3097345132743389 ...    [0.4821428571428544 0.4107142857142844 0.26785714285714035 ...  [0.32359891964888704 0.39871708305199 0.41205266711681426 ...    395        9051.03  [0.6474061577393488 0.5317025165190481 0.5648812034303398 ...  2388.09  [0.44961240310077416 0.519379844961242 0.5736434108527151 ...   8.4398  47.66   [0.30882352941189256 0.30882352941189256 0.3235294117644895 ...   1401.42  38.72  [0.5571658615136821 0.605475040257655 0.6247987117552405 ...   [0.13147267342726832 0.14794041102037636 0.142600735888004 ...    642.42  [0.3644578313252849 0.3825301204819296 0.41265060240964785 ...   521.59  23.3676  [0.5833333333333334 0.3333333333333333 0.5 ... 0.4166666666666667           1590.52  2388.08  [0.6183368869936063 0.571428571428568 0.6908315565031847 ...   [0.4246784390669276 0.2626989317636783 0.3937213865271397 ...   [0.2727272727270848 0.39393939393912253 0.30303030303009426 ...  553.31  142           [119.574]           120\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.40207772220084576 0.42131589072720504 0.33705271258176267]      0.3273809523809507 0.3452380952380943 0.4464285714285715]       0.4041188386225532 0.4137407157326129 0.4664078325455791]                            0.5408407141852917 0.5584141712357666 0.5887811050189795]               0.3565891472868226 0.5968992248061988 0.44961240310077416]                      0.3529411764703522 0.3382352941177552 0.3676470588236179]                         0.4589371980676422 0.5136876006441192 0.5458937198067679]      0.10477429776541462 0.14542762272278456 0.11177420802297312]              0.42168674698795305 0.46987951807228173 0.3975903614457716]                       0.3333333333333333 0.4166666666666667]                                                        0.569296375266523 0.7270788912579981 0.5458422174840037]       0.3845650752125584 0.38914323086985153 0.3884892086330911]      0.31818181818194347 0.31818181818194347 0.34848484848495287]\n",
       "4      3              5                 [190 189 188 ... 143 142 141]  0.3825301204819296   0.2626989317636783   0.39871708305199     0.605475040257655    0.39393939393912253  0.14794041102037636  0.4107142857142844    0.571428571428568    0.30882352941189256  0.4967295113505236   0.3333333333333333       0.519379844961242    0.5317025165190481   [0.4967295113505236 0.3097345132743389 0.4578684109272788 ...     [0.4107142857142844 0.26785714285714035 0.464285714285715 ...   [0.39871708305199 0.41205266711681426 0.25151924375422163 ...    392        9054.7   [0.5317025165190481 0.5648812034303398 0.5748629270350041 ...  2388.09  [0.519379844961242 0.5736434108527151 0.6279069767441883 ...    8.454   47.54   [0.30882352941189256 0.3235294117644895 0.30882352941189256 ...   1405.87  38.81  [0.605475040257655 0.6247987117552405 0.558776167471831 ...    [0.14794041102037636 0.142600735888004 0.15996589787310214 ...    642.48  [0.3825301204819296 0.41265060240964785 0.43072289156625826 ...  521.37  23.2853  [0.3333333333333333 0.5 0.3333333333333333 ... 0.3333333333333333           1583.09  2388.16  [0.571428571428568 0.6908315565031847 0.6609808102345305 ...   [0.2626989317636783 0.3937213865271397 0.4619577065620231 ...   [0.39393939393912253 0.30303030303009426 0.2424242424240754 ...  553.61  141           [119.984]           120\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.42131589072720504 0.33705271258176267 0.4174682570219359]       0.3452380952380943 0.4464285714285715 0.3988095238095249]       0.4137407157326129 0.4664078325455791 0.4485145172180947]                            0.5584141712357666 0.5887811050189795 0.5335301560522978]               0.5968992248061988 0.44961240310077416 0.604651162790699]                       0.3382352941177552 0.3676470588236179 0.3529411764703522]                         0.5136876006441192 0.5458937198067679 0.6038647342995245]      0.14542762272278456 0.11177420802297312 0.14650453199317756]              0.46987951807228173 0.3975903614457716 0.41867469879518465]                       0.4166666666666667 0.4166666666666667]                                                        0.7270788912579981 0.5458422174840037 0.5565031982942288]      0.38914323086985153 0.3884892086330911 0.554392849356878]       0.31818181818194347 0.34848484848495287 0.33333333333310367]\n",
       "...    ...            ...               ...                            ...                  ...                  ...                  ...                  ...                  ...                  ...                   ...                  ...                  ...                  ...                      ...                  ...                  ...                                                               ...                                                             ...                                                              ...        ...      ...                                                            ...      ...                                                             ...     ...     ...                                                               ...      ...    ...                                                            ...                                                               ...     ...                                                              ...     ...      ...                                                                         ...      ...      ...                                                            ...                                                             ...                                                              ...     ...           ...                 ...\n",
       "8,249  61             106               [74 73 72 ... 27 26 25]        0.3644578313252849   0.419446261172879    0.43501012829169444  0.6586151368760198   0.2424242424240754   0.23382392533429258  0.2559523809523808    0.6929637526652539   0.1617647058819104   0.32666410157753395  0.3333333333333333       0.5891472868217043   0.7721074089694896   [0.32666410157753395 0.3889957676029266 0.3282031550596389 ...    [0.2559523809523808 0.3988095238095249 0.3392857142857145 ...   [0.43501012829169444 0.45712356515867525 0.5178933153274824 ...  392        9073.84  [0.7721074089694896 0.5599606354562044 0.7221987909461536 ...  2387.99  [0.5891472868217043 0.4651162790697688 0.6124031007751936 ...   8.4098  47.28   [0.1617647058819104 0.26470588235276415 0.2500000000001672 ...    1408.02  38.9   [0.6586151368760198 0.6296296296296323 0.6296296296296323 ...  [0.23382392533429258 0.17450417302342788 0.19738849501929312 ...  642.42  [0.3644578313252849 0.3915662650602348 0.5210843373494131 ...    521.94  23.4563  [0.3333333333333333 0.5 0.4166666666666667 ... 0.5 0.4166666666666667 0.5]  1590.28  2388.06  [0.6929637526652539 0.5543710021321837 0.5522388059701387 ...  [0.419446261172879 0.4687159363418344 0.4959668628733364 ...    [0.2424242424240754 0.31818181818194347 0.2575757575759246 ...   553.94  25            [24.911]            25\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.5636783378222379 0.4724894190073097 0.5886879569065042]         0.5059523809523819 0.4999999999999979 0.5178571428571415]       0.50236326806212 0.6401080351114123 0.6347062795408491]                              0.601715169408126 0.4612681006607599 0.4999297061717958]                0.44961240310077416 0.34883720930232803 0.4418604651162796]                     0.3823529411762149 0.3382352941177552 0.4264705882353433]                         0.46537842190016465 0.3429951690821291 0.44605475040257914]    0.20941398187202706 0.21986897603876815 0.21197164138921143]              0.6445783132530203 0.5843373493975837 0.5391566265060235]                                                                                                                       0.4541577825159962 0.3901918976545736 0.4776119402984912]      0.5020710704163923 0.5942882057989954 0.39154131240462153]      0.34848484848495287 0.43939393939398114 0.39393939393912253]\n",
       "8,250  61             107               [73 72 71 ... 26 25 24]        0.3915662650602348   0.4687159363418344   0.45712356515867525  0.6296296296296323   0.31818181818194347  0.17450417302342788  0.3988095238095249    0.5543710021321837   0.26470588235276415  0.3889957676029266   0.5                      0.4651162790697688   0.5599606354562044   [0.3889957676029266 0.3282031550596389 0.3131973836090818 ...     [0.3988095238095249 0.3392857142857145 0.35119047619047405 ...  [0.45712356515867525 0.5178933153274824 0.4237002025658323 ...   394        9060.62  [0.5599606354562044 0.7221987909461536 0.7057500351469111 ...  2388.06  [0.4651162790697688 0.6124031007751936 0.6279069767441883 ...   8.426   47.52   [0.26470588235276415 0.2500000000001672 0.27941176470602985 ...   1409.33  38.74  [0.6296296296296323 0.6296296296296323 0.6650563607085421 ...  [0.17450417302342788 0.19738849501929312 0.19693978282330218 ...  642.51  [0.3915662650602348 0.5210843373494131 0.2921686746987748 ...    521.29  23.3054  [0.5 0.4166666666666667 0.4166666666666667 ... 0.4166666666666667 0.5 0.5]  1592.54  2388.11  [0.5543710021321837 0.5522388059701387 0.6098081023454022 ...  [0.4687159363418344 0.4959668628733364 0.2692391541312427 ...   [0.31818181818194347 0.2575757575759246 0.2272727272729152 ...   553.76  24            [24.13]             24\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.4724894190073097 0.5886879569065042 0.6060023085802255]         0.4999999999999979 0.5178571428571415 0.5059523809523819]       0.6401080351114123 0.6347062795408491 0.7098244429439559]                            0.4612681006607599 0.4999297061717958 0.4758892169267526]               0.34883720930232803 0.4418604651162796 0.41860465116279033]                     0.3382352941177552 0.4264705882353433 0.48529411764706865]                        0.3429951690821291 0.44605475040257914 0.4138486312399305]     0.21986897603876815 0.21197164138921143 0.2100421789464291]               0.5843373493975837 0.5391566265060235 0.40060240963854]                                                                                                                         0.3901918976545736 0.4776119402984912 0.26439232409379765]     0.5942882057989954 0.39154131240462153 0.5718334423370384]      0.43939393939398114 0.39393939393912253 0.287878787878934]\n",
       "8,251  61             108               [72 71 70 ... 25 24 23]        0.5210843373494131   0.4959668628733364   0.5178933153274824   0.6296296296296323   0.2575757575759246   0.19738849501929312  0.3392857142857145    0.5522388059701387   0.2500000000001672   0.3282031550596389   0.4166666666666667       0.6124031007751936   0.7221987909461536   [0.3282031550596389 0.3131973836090818 0.3786071565986911 ...     [0.3392857142857145 0.35119047619047405 0.3095238095238072 ...  [0.5178933153274824 0.4237002025658323 0.4638757596218773 ...    393        9065.72  [0.7221987909461536 0.7057500351469111 0.5419654154365242 ...  2388.05  [0.6124031007751936 0.6279069767441883 0.5813953488372097 ...   8.4102  47.42   [0.2500000000001672 0.27941176470602985 0.2058823529410388 ...    1412.93  38.93  [0.6296296296296323 0.6650563607085421 0.5330112721417047 ...  [0.19738849501929312 0.19693978282330218 0.224356097998743 ...    642.94  [0.5210843373494131 0.2921686746987748 0.3795180722891612 ...    521.28  23.4208  [0.4166666666666667 0.4166666666666667 0.5 ... 0.5 0.5 0.5833333333333334]  1593.79  2388.07  [0.5522388059701387 0.6098081023454022 0.5991471215351771 ...  [0.4959668628733364 0.2692391541312427 0.30760845868759734 ...  [0.2575757575759246 0.2272727272729152 0.19696969696990577 ...   553.76  23            [23.257]            23\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.5886879569065042 0.6060023085802255 0.6006156213928447]         0.5178571428571415 0.5059523809523819 0.48809523809523836]      0.6347062795408491 0.7098244429439559 0.6510803511141109]                            0.4999297061717958 0.4758892169267526 0.5657247293687605]               0.4418604651162796 0.41860465116279033 0.4031007751937956]                      0.4264705882353433 0.48529411764706865 0.455882352941206]                         0.44605475040257914 0.4138486312399305 0.4428341384863179]     0.21197164138921143 0.2100421789464291 0.2019204881988687]                0.5391566265060235 0.40060240963854 0.6265060240963757]                                                                                                                         0.4776119402984912 0.26439232409379765 0.40938166311300284]    0.39154131240462153 0.5718334423370384 0.6230651842162601]      0.39393939393912253 0.287878787878934 0.33333333333310367]\n",
       "8,252  61             109               [71 70 69 ... 24 23 22]        0.2921686746987748   0.2692391541312427   0.4237002025658323   0.6650563607085421   0.2272727272729152   0.19693978282330218  0.35119047619047405   0.6098081023454022   0.27941176470602985  0.3131973836090818   0.4166666666666667       0.6279069767441883   0.7057500351469111   [0.3131973836090818 0.3786071565986911 0.5055790688726474 ...     [0.35119047619047405 0.3095238095238072 0.2738095238095244 ...  [0.4237002025658323 0.4638757596218773 0.34959486833220854 ...   393        9065.62  [0.7057500351469111 0.5419654154365242 0.656122592436382 ...   2388.07  [0.6279069767441883 0.5813953488372097 0.5581395348837204 ...   8.4063  47.44   [0.27941176470602985 0.2058823529410388 0.23529411764690147 ...   1407.35  38.95  [0.6650563607085421 0.5330112721417047 0.62318840579711 ...    [0.19693978282330218 0.224356097998743 0.21852283945077897 ...    642.18  [0.2921686746987748 0.3795180722891612 0.3825301204819296 ...    521.55  23.4091  [0.4166666666666667 0.5 0.5 ... 0.5 0.5833333333333334 0.5]                 1583.39  2388.05  [0.6098081023454022 0.5991471215351771 0.7761194029850815 ...  [0.2692391541312427 0.30760845868759734 0.5554828864181371 ...  [0.2272727272729152 0.19696969696990577 0.16666666666689633 ...  553.98  22            [22.11]             22\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.6060023085802255 0.6006156213928447 0.6313966910350182]         0.5059523809523819 0.48809523809523836 0.6071428571428549]      0.7098244429439559 0.6510803511141109 0.5442268737339636]                            0.4758892169267526 0.5657247293687605 0.38239842541824537]              0.41860465116279033 0.4031007751937956 0.2713178294573656]                      0.48529411764706865 0.455882352941206 0.4264705882353433]                         0.4138486312399305 0.4428341384863179 0.37359098228662885]     0.2100421789464291 0.2019204881988687 0.19770259355649822]                0.40060240963854 0.6265060240963757 0.43373493975902666]                                                                                                                        0.26439232409379765 0.40938166311300284 0.5181236673773946]    0.5718334423370384 0.6230651842162601 0.5565729234793962]       0.287878787878934 0.33333333333310367 0.43939393939398114]\n",
       "8,253  61             110               [70 69 68 ... 23 22 21]        0.3795180722891612   0.30760845868759734  0.4638757596218773   0.5330112721417047   0.19696969696990577  0.224356097998743    0.3095238095238072    0.5991471215351771   0.2058823529410388   0.3786071565986911   0.5                      0.5813953488372097   0.5419654154365242   [0.3786071565986911 0.5055790688726474 0.3686033089649886 ...     [0.3095238095238072 0.2738095238095244 0.35714285714285804 ...  [0.4638757596218773 0.34959486833220854 0.44159351789331663 ...  394        9071.73  [0.5419654154365242 0.656122592436382 0.601715169408126 ...    2388.02  [0.5813953488372097 0.5581395348837204 0.6976744186046505 ...   8.4233  47.37   [0.2058823529410388 0.23529411764690147 0.1911764705884418 ...    1409.73  38.89  [0.5330112721417047 0.62318840579711 0.6199677938808488 ...    [0.224356097998743 0.21852283945077897 0.2067217086960405 ...     642.47  [0.3795180722891612 0.3825301204819296 0.5602409638554365 ...    521.5   23.2926  [0.5 0.5 0.5 ... 0.5833333333333334 0.5 0.5833333333333334]                 1585.15  2388.03  [0.5991471215351771 0.7761194029850815 0.7441364605543581 ...  [0.30760845868759734 0.5554828864181371 0.4100719424460409 ...  [0.19696969696990577 0.16666666666689633 0.2424242424240754 ...  553.16  21            [20.423]            20\n",
       "                                                                                                                                                                                                                                                                                                                                                              0.6006156213928447 0.6313966910350182 0.56791073489804]           0.48809523809523836 0.6071428571428549 0.5714285714285721]      0.6510803511141109 0.5442268737339636 0.5388251181634043]                            0.5657247293687605 0.38239842541824537 0.31533811331364975]             0.4031007751937956 0.2713178294573656 0.38759689922480645]                      0.455882352941206 0.4264705882353433 0.4264705882353433]                          0.4428341384863179 0.37359098228662885 0.46537842190016465]    0.2019204881988687 0.19770259355649822 0.19770259355649822]               0.6265060240963757 0.43373493975902666 0.6265060240963757]                                                                                                                      0.40938166311300284 0.5181236673773946 0.4861407249466954]     0.6230651842162601 0.5565729234793962 0.700239808153478]        0.33333333333310367 0.43939393939398114 0.39393939393912253]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is the transformations on per sample / sequence basis\n",
    "df_test_trans = df_test.pipeline.load_and_transform('./model/pipeline.json', trusted=True)\n",
    "\n",
    "df_test_trans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5bf17b60",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-15T11:06:46.699211Z",
     "start_time": "2021-09-15T11:06:13.820441Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>#                             </th><th>unit_number  </th><th>RUL_pred  </th><th>RUL_gt  </th><th>current_cycle  </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td><i style='opacity: 0.6'>0</i> </td><td>3            </td><td>60        </td><td>69      </td><td>77             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1</i> </td><td>4            </td><td>84        </td><td>82      </td><td>57             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>2</i> </td><td>5            </td><td>79        </td><td>91      </td><td>49             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>3</i> </td><td>6            </td><td>118       </td><td>93      </td><td>56             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>4</i> </td><td>7            </td><td>110       </td><td>91      </td><td>111            </td></tr>\n",
       "<tr><td>...                           </td><td>...          </td><td>...       </td><td>...     </td><td>...            </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>87</i></td><td>96           </td><td>119       </td><td>137     </td><td>48             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>88</i></td><td>97           </td><td>102       </td><td>82      </td><td>85             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>89</i></td><td>98           </td><td>83        </td><td>59      </td><td>72             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>90</i></td><td>99           </td><td>120       </td><td>117     </td><td>48             </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>91</i></td><td>100          </td><td>20        </td><td>20      </td><td>149            </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "#    unit_number    RUL_pred    RUL_gt    current_cycle\n",
       "0    3              60          69        77\n",
       "1    4              84          82        57\n",
       "2    5              79          91        49\n",
       "3    6              118         93        56\n",
       "4    7              110         91        111\n",
       "...  ...            ...         ...       ...\n",
       "87   96             119         137       48\n",
       "88   97             102         82        85\n",
       "89   98             83          59        72\n",
       "90   99             120         117       48\n",
       "91   100            20          20        149"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is the transformation done to obtain the final predictions on per engine basis\n",
    "df_test_final = df_test.pipeline.load_and_transform('./model/pipeline_final.json', trusted=True)\n",
    "\n",
    "df_test_final"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20c36b25",
   "metadata": {},
   "source": [
    "### Statistics on the Test set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ca582630",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-15T11:06:47.543844Z",
     "start_time": "2021-09-15T11:06:46.700161Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score on per sequence basis on the test set:\n",
      "mean absolute error: 26.983\n",
      "mean squared error: 1540.833\n",
      "R2 score: 0.435\n",
      "\n",
      "Score on the test set - final results!\n",
      "mean absolute error: 10.783\n",
      "mean squared error: 223.435\n",
      "R2 score: 0.868\n",
      "\n",
      "Score on the test set - for engines with a failure within the next 50 cycles.\n",
      "mean absolute error: 3.333\n",
      "mean squared error: 25.867\n",
      "R2 score: 0.791\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Score on per sequence basis on the test set:')\n",
    "score_func(df_test_trans, 'RUL_target', 'pred_value')\n",
    "\n",
    "print('Score on the test set - final results!')\n",
    "score_func(df_test_final, 'RUL_gt', 'RUL_pred')\n",
    "\n",
    "print('Score on the test set - for engines with a failure within the next 50 cycles.')\n",
    "score_func(df_test_final[df_test_final.RUL_gt<50], 'RUL_gt', 'RUL_pred')\n",
    "\n",
    "plt.figure(figsize=(7, 7))\n",
    "df_test_final.viz.scatter('RUL_gt', 'RUL_pred')\n",
    "plt.plot([0, 165], [0, 165], lw=1, ls='--', color='black', alpha=0.5)\n",
    "plt.xlabel('final labels', fontsize=14)\n",
    "plt.ylabel('final predictions', fontsize=14)\n",
    "plt.xlim(0, 165)\n",
    "plt.ylim(0, 165)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49ef03c8",
   "metadata": {},
   "source": [
    "### Export data - ready for serving!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4131cf91",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-08T08:17:29.988284Z",
     "start_time": "2021-09-08T08:17:23.635870Z"
    }
   },
   "outputs": [],
   "source": [
    "df_test_trans.export_hdf5('./data/df_test_trans.hdf5')\n",
    "df_test_final.export_hdf5('./data/df_test_final.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b6058a0",
   "metadata": {},
   "source": [
    "### End"
   ]
  }
 ],
 "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
}