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dirty-cat-ci committed Jun 7, 2024
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738 changes: 369 additions & 369 deletions dev/_sources/auto_examples/01_encodings.rst.txt

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Expand Up @@ -435,7 +435,7 @@ as a set of latent topics.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.757 seconds)
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.. _sphx_glr_download_auto_examples_02_feature_interpretation_with_gapencoder.py:
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2 changes: 1 addition & 1 deletion dev/_sources/auto_examples/03_datetime_encoder.rst.txt
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Expand Up @@ -599,7 +599,7 @@ and transforms datetime columns by default.

.. rst-class:: sphx-glr-timing

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.. _sphx_glr_download_auto_examples_03_datetime_encoder.py:
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2 changes: 1 addition & 1 deletion dev/_sources/auto_examples/04_fuzzy_joining.rst.txt
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Expand Up @@ -1715,7 +1715,7 @@ introduced into a grid search:
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 7.605 seconds)
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.. _sphx_glr_download_auto_examples_04_fuzzy_joining.py:
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2 changes: 1 addition & 1 deletion dev/_sources/auto_examples/05_deduplication.rst.txt
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Expand Up @@ -337,7 +337,7 @@ or |MinHash|.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 5.005 seconds)
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.. _sphx_glr_download_auto_examples_05_deduplication.py:
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4 changes: 2 additions & 2 deletions dev/_sources/auto_examples/06_ken_embeddings.rst.txt
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Expand Up @@ -305,7 +305,7 @@ We will start by checking out the available tables with
.. code-block:: none
{'games', 'movies', 'albums', 'companies', 'all_entities', 'schools'}
{'all_entities', 'games', 'companies', 'albums', 'movies', 'schools'}
Expand Down Expand Up @@ -840,7 +840,7 @@ It helped significantly improve the prediction score.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (1 minutes 52.017 seconds)
**Total running time of the script:** (2 minutes 0.608 seconds)


.. _sphx_glr_download_auto_examples_06_ken_embeddings.py:
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4 changes: 2 additions & 2 deletions dev/_sources/auto_examples/07_multiple_key_join.rst.txt
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Expand Up @@ -1228,7 +1228,7 @@ The results:
/home/circleci/project/miniconda/envs/testenv/lib/python3.10/site-packages/sklearn/preprocessing/_encoders.py:242: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as all zeros
warnings.warn(
0.58775
0.586
Expand All @@ -1246,7 +1246,7 @@ Our final cross-validated accuracy score is 0.58.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (6 minutes 36.884 seconds)
**Total running time of the script:** (7 minutes 41.969 seconds)


.. _sphx_glr_download_auto_examples_07_multiple_key_join.py:
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92 changes: 46 additions & 46 deletions dev/_sources/auto_examples/08_join_aggregation.rst.txt
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Expand Up @@ -1246,75 +1246,75 @@ operation maximizing our validation score.
</tr>
<tr>
<th>split1_test_score</th>
<td>0.054291</td>
<td>0.046256</td>
<td>0.077496</td>
<td>0.053958</td>
<td>0.072743</td>
<td>0.039766</td>
<td>0.042092</td>
<td>0.048973</td>
<td>0.076096</td>
<td>0.072552</td>
</tr>
<tr>
<th>split2_test_score</th>
<td>0.073090</td>
<td>0.080162</td>
<td>0.094306</td>
<td>0.094422</td>
<td>0.094126</td>
<td>0.079496</td>
<td>0.075112</td>
<td>0.091491</td>
<td>0.097265</td>
<td>0.096831</td>
</tr>
<tr>
<th>split3_test_score</th>
<td>0.040857</td>
<td>0.059777</td>
<td>0.063089</td>
<td>0.055284</td>
<td>0.079006</td>
<td>0.030951</td>
<td>0.056313</td>
<td>0.071706</td>
<td>0.069629</td>
<td>0.079073</td>
</tr>
<tr>
<th>split4_test_score</th>
<td>0.131741</td>
<td>0.132793</td>
<td>0.138339</td>
<td>0.146040</td>
<td>0.151080</td>
<td>0.138988</td>
<td>0.123028</td>
<td>0.153347</td>
<td>0.151073</td>
<td>0.153645</td>
</tr>
<tr>
<th>split5_test_score</th>
<td>0.110553</td>
<td>0.111874</td>
<td>0.105114</td>
<td>0.110696</td>
<td>0.114973</td>
<td>0.109744</td>
<td>0.115228</td>
<td>0.109081</td>
<td>0.112267</td>
<td>0.109286</td>
</tr>
<tr>
<th>split6_test_score</th>
<td>0.084504</td>
<td>0.100755</td>
<td>0.103847</td>
<td>0.111550</td>
<td>0.109646</td>
<td>0.080172</td>
<td>0.104118</td>
<td>0.102707</td>
<td>0.111908</td>
<td>0.102397</td>
</tr>
<tr>
<th>split7_test_score</th>
<td>0.053904</td>
<td>0.068226</td>
<td>0.057764</td>
<td>0.074080</td>
<td>0.077263</td>
<td>0.067497</td>
<td>0.066854</td>
<td>0.066137</td>
<td>0.081133</td>
<td>0.078229</td>
</tr>
<tr>
<th>split8_test_score</th>
<td>0.106506</td>
<td>0.111695</td>
<td>0.122601</td>
<td>0.120597</td>
<td>0.132749</td>
<td>0.113025</td>
<td>0.117815</td>
<td>0.121414</td>
<td>0.129947</td>
<td>0.132169</td>
</tr>
<tr>
<th>split9_test_score</th>
<td>0.104927</td>
<td>0.148085</td>
<td>0.169691</td>
<td>0.158120</td>
<td>0.181488</td>
<td>0.122970</td>
<td>0.157791</td>
<td>0.160874</td>
<td>0.170092</td>
<td>0.184514</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -1413,7 +1413,7 @@ exhaustive histogram over all the possible values of ratings

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 16.882 seconds)
**Total running time of the script:** (0 minutes 22.867 seconds)


.. _sphx_glr_download_auto_examples_08_join_aggregation.py:
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62 changes: 31 additions & 31 deletions dev/_sources/auto_examples/09_interpolation_join.rst.txt
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Expand Up @@ -364,9 +364,9 @@ to the right side table column names.
<td>42.6</td>
<td>0.0</td>
<td>NaN</td>
<td>33.707736</td>
<td>95.925676</td>
<td>-0.176577</td>
<td>34.058375</td>
<td>52.501931</td>
<td>0.076403</td>
</tr>
<tr>
<th>1</th>
Expand All @@ -376,9 +376,9 @@ to the right side table column names.
<td>26.9</td>
<td>NaN</td>
<td>NaN</td>
<td>27.329726</td>
<td>84.955620</td>
<td>0.435598</td>
<td>27.300135</td>
<td>93.293058</td>
<td>0.399019</td>
</tr>
<tr>
<th>2</th>
Expand All @@ -388,9 +388,9 @@ to the right side table column names.
<td>41.6</td>
<td>NaN</td>
<td>NaN</td>
<td>31.262911</td>
<td>40.344437</td>
<td>-0.176577</td>
<td>31.905862</td>
<td>34.116147</td>
<td>0.076403</td>
</tr>
<tr>
<th>3</th>
Expand All @@ -400,9 +400,9 @@ to the right side table column names.
<td>46.6</td>
<td>0.0</td>
<td>NaN</td>
<td>33.619472</td>
<td>73.934642</td>
<td>-0.176577</td>
<td>33.906991</td>
<td>43.710720</td>
<td>0.076403</td>
</tr>
<tr>
<th>4</th>
Expand All @@ -412,9 +412,9 @@ to the right side table column names.
<td>36.1</td>
<td>0.0</td>
<td>NaN</td>
<td>28.791984</td>
<td>25.680495</td>
<td>0.067851</td>
<td>30.456697</td>
<td>36.400245</td>
<td>0.076403</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -596,7 +596,7 @@ maximum daily temperature.
<td>MI</td>
<td>42.212059</td>
<td>-83.348836</td>
<td>1.656265</td>
<td>2.408468</td>
</tr>
<tr>
<th>1</th>
Expand All @@ -608,7 +608,7 @@ maximum daily temperature.
<td>TX</td>
<td>32.895951</td>
<td>-97.037200</td>
<td>21.615973</td>
<td>20.907708</td>
</tr>
<tr>
<th>2</th>
Expand All @@ -620,7 +620,7 @@ maximum daily temperature.
<td>NC</td>
<td>36.097747</td>
<td>-79.937297</td>
<td>17.867898</td>
<td>17.548925</td>
</tr>
<tr>
<th>3</th>
Expand All @@ -632,7 +632,7 @@ maximum daily temperature.
<td>IL</td>
<td>41.979595</td>
<td>-87.904464</td>
<td>15.695789</td>
<td>16.301261</td>
</tr>
<tr>
<th>4</th>
Expand All @@ -644,7 +644,7 @@ maximum daily temperature.
<td>TX</td>
<td>32.895951</td>
<td>-97.037200</td>
<td>14.017684</td>
<td>14.324374</td>
</tr>
</tbody>
</table>
Expand Down Expand Up @@ -695,11 +695,11 @@ Washington, Minnesota.
state
AK -4.059387
WA -0.034640
MT 0.141702
ND 1.112572
MN 1.437663
AK -2.702880
MT 0.382274
WA 0.457329
ND 0.650306
MN 1.409692
Name: TMAX, dtype: float64
Expand All @@ -725,11 +725,11 @@ Florida, Louisiana.
state
LA 21.437948
FL 24.562898
HI 26.988694
VI 29.978270
PR 30.322036
LA 21.654724
FL 24.884425
HI 27.803344
VI 30.509602
PR 31.172758
Name: TMAX, dtype: float64
Expand Down Expand Up @@ -814,7 +814,7 @@ estimators.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 4.899 seconds)
**Total running time of the script:** (0 minutes 6.501 seconds)


.. _sphx_glr_download_auto_examples_09_interpolation_join.py:
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