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[skip ci] Refresh docs
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nnansters committed Mar 8, 2024
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15,828 changes: 7,914 additions & 7,914 deletions docs/_static/example_california_latitude_longitude_scatter.svg
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1,456 changes: 728 additions & 728 deletions docs/_static/example_green_taxi_feature_importance.svg
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16,474 changes: 8,237 additions & 8,237 deletions docs/_static/example_green_taxi_tip_amount_boxplot.svg
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842 changes: 421 additions & 421 deletions docs/_static/example_green_taxi_tip_amount_distribution.svg
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20,974 changes: 10,487 additions & 10,487 deletions docs/_static/how-it-works-dle-data.svg
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81,480 changes: 40,740 additions & 40,740 deletions docs/_static/how-it-works-dle-regression-PI.svg
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1,880 changes: 940 additions & 940 deletions docs/_static/how-it-works-dle-regression-abs-errors-hist.svg
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1,708 changes: 854 additions & 854 deletions docs/_static/how-it-works-dle-regression-errors-hist.svg
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16,276 changes: 8,138 additions & 8,138 deletions docs/_static/how-it-works/butterfly-scatterplot.svg
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1,402 changes: 701 additions & 701 deletions docs/_static/how-it-works/chunks_stability_of_accuracy.svg
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61 changes: 15 additions & 46 deletions docs/example_notebooks/Examples California Housing.ipynb

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Original file line number Diff line number Diff line change
Expand Up @@ -235,7 +235,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.7"
"version": "3.8.8"
}
},
"nbformat": 4,
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14 changes: 2 additions & 12 deletions docs/example_notebooks/How it Works - Chunking Data.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -20,8 +20,6 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/home/niels/Code/nml/nannyml/nannyml/chunk.py:181: UserWarning: The resulting number of chunks is too low. Please consider splitting your data in a different way or continue at your own risk.\n",
" warnings.warn(\n",
"/home/niels/Code/nml/nannyml/nannyml/chunk.py:181: UserWarning: The resulting number of chunks is too low. Please consider splitting your data in a different way or continue at your own risk.\n",
" warnings.warn(\n"
]
Expand All @@ -32,16 +30,8 @@
"text": [
"/home/niels/Code/nml/nannyml/nannyml/chunk.py:181: UserWarning: The resulting number of chunks is too low. Please consider splitting your data in a different way or continue at your own risk.\n",
" warnings.warn(\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n"
"/home/niels/Code/nml/nannyml/nannyml/chunk.py:181: UserWarning: The resulting number of chunks is too low. Please consider splitting your data in a different way or continue at your own risk.\n",
" warnings.warn(\n"
]
}
],
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119 changes: 15 additions & 104 deletions docs/example_notebooks/Quickstart.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -500,96 +500,7 @@
"execution_count": null,
"id": "1ccb291c",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n",
"/home/niels/Code/nml/nannyml/nannyml/performance_estimation/confidence_based/metrics.py:401: UserWarning: No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\n",
" warnings.warn(\"No 'y_true' values given for chunk, returning NaN as realized ROC-AUC.\")\n"
]
}
],
"outputs": [],
"source": [
"estimator = estimator.fit(reference_df)\n",
"estimated_performance = estimator.estimate(analysis_df)"
Expand Down Expand Up @@ -670,7 +581,7 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>36</td>\n",
" <td>37</td>\n",
" <td>ANC</td>\n",
" <td>1</td>\n",
" </tr>\n",
Expand All @@ -683,19 +594,19 @@
" <tr>\n",
" <th>2</th>\n",
" <td>28</td>\n",
" <td>DREM</td>\n",
" <td>RELP</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>27</td>\n",
" <td>RELP</td>\n",
" <td>28</td>\n",
" <td>MAR</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>26</td>\n",
" <td>SCHL</td>\n",
" <td>28</td>\n",
" <td>DREM</td>\n",
" <td>5</td>\n",
" </tr>\n",
" </tbody>\n",
Expand All @@ -704,11 +615,11 @@
],
"text/plain": [
" number_of_alerts column_name rank\n",
"0 36 ANC 1\n",
"0 37 ANC 1\n",
"1 29 AGEP 2\n",
"2 28 DREM 3\n",
"3 27 RELP 4\n",
"4 26 SCHL 5"
"2 28 RELP 3\n",
"3 28 MAR 4\n",
"4 28 DREM 5"
]
},
"metadata": {},
Expand All @@ -734,15 +645,15 @@
"+----+--------------------+---------------+--------+\n",
"| | number_of_alerts | column_name | rank |\n",
"+====+====================+===============+========+\n",
"| 0 | 36 | ANC | 1 |\n",
"| 0 | 37 | ANC | 1 |\n",
"+----+--------------------+---------------+--------+\n",
"| 1 | 29 | AGEP | 2 |\n",
"+----+--------------------+---------------+--------+\n",
"| 2 | 28 | DREM | 3 |\n",
"| 2 | 28 | RELP | 3 |\n",
"+----+--------------------+---------------+--------+\n",
"| 3 | 27 | RELP | 4 |\n",
"| 3 | 28 | MAR | 4 |\n",
"+----+--------------------+---------------+--------+\n",
"| 4 | 26 | SCHL | 5 |\n",
"| 4 | 28 | DREM | 5 |\n",
"+----+--------------------+---------------+--------+\n"
]
}
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