From 4f906f63d26780084492c2fd8bc7ecbdac54e3dd Mon Sep 17 00:00:00 2001 From: skrub-ci Date: Tue, 23 Jan 2024 18:11:13 +0000 Subject: [PATCH] Pushing the docs to dev/ for branch: main, commit 7b363193d5f27c91a8e03b3903e52263fc8c9c69 --- dev/.buildinfo | 2 +- dev/_images/sphx_glr_01_encodings_001.png | Bin 168350 -> 169538 bytes dev/_images/sphx_glr_01_encodings_thumb.png | Bin 62010 -> 61037 bytes .../sphx_glr_08_join_aggregation_003.png | Bin 28195 -> 28053 bytes .../sphx_glr_09_interpolation_join_001.png | Bin 81883 -> 97576 bytes .../sphx_glr_09_interpolation_join_002.png | Bin 26882 -> 28840 bytes .../sphx_glr_09_interpolation_join_003.png | Bin 13343 -> 13349 bytes .../sphx_glr_09_interpolation_join_thumb.png | Bin 19644 -> 23876 bytes .../auto_examples/01_encodings.rst.txt | 75 +++--- ...ure_interpretation_with_gapencoder.rst.txt | 2 +- .../auto_examples/03_datetime_encoder.rst.txt | 2 +- .../auto_examples/04_fuzzy_joining.rst.txt | 23 +- .../auto_examples/05_deduplication.rst.txt | 2 +- .../auto_examples/06_ken_embeddings.rst.txt | 20 +- .../07_multiple_key_join.rst.txt | 230 ++++++++---------- .../auto_examples/08_join_aggregation.rst.txt | 94 ++++--- .../09_interpolation_join.rst.txt | 160 ++++++------ .../auto_examples/sg_execution_times.rst.txt | 28 +-- dev/_sources/sg_execution_times.rst.txt | 28 +-- dev/auto_examples/01_encodings.html | 75 +++--- ...eature_interpretation_with_gapencoder.html | 2 +- dev/auto_examples/03_datetime_encoder.html | 2 +- dev/auto_examples/04_fuzzy_joining.html | 14 +- dev/auto_examples/05_deduplication.html | 2 +- dev/auto_examples/06_ken_embeddings.html | 14 +- dev/auto_examples/07_multiple_key_join.html | 218 ++++++++--------- dev/auto_examples/08_join_aggregation.html | 97 ++++---- dev/auto_examples/09_interpolation_join.html | 160 ++++++------ dev/auto_examples/sg_execution_times.html | 32 +-- dev/generated/skrub.AggJoiner.html | 18 +- dev/generated/skrub.AggTarget.html | 18 +- dev/generated/skrub.DatetimeEncoder.html | 18 +- dev/generated/skrub.DropCols.html | 16 +- dev/generated/skrub.GapEncoder.html | 22 +- dev/generated/skrub.InterpolationJoiner.html | 16 +- dev/generated/skrub.Joiner.html | 24 +- dev/generated/skrub.MinHashEncoder.html | 18 +- dev/generated/skrub.SelectCols.html | 16 +- dev/generated/skrub.SimilarityEncoder.html | 22 +- dev/generated/skrub.TableVectorizer.html | 18 +- dev/generated/skrub.datasets.DatasetAll.html | 2 +- .../skrub.datasets.DatasetInfoOnly.html | 2 +- .../skrub.datasets.fetch_drug_directory.html | 2 +- ...krub.datasets.fetch_employee_salaries.html | 2 +- .../skrub.datasets.fetch_ken_embeddings.html | 2 +- ...krub.datasets.fetch_ken_table_aliases.html | 2 +- .../skrub.datasets.fetch_ken_types.html | 2 +- .../skrub.datasets.fetch_medical_charge.html | 2 +- .../skrub.datasets.fetch_midwest_survey.html | 2 +- .../skrub.datasets.fetch_movielens.html | 2 +- .../skrub.datasets.fetch_open_payments.html | 2 +- .../skrub.datasets.fetch_road_safety.html | 2 +- ...rub.datasets.fetch_traffic_violations.html | 2 +- ...b.datasets.fetch_world_bank_indicator.html | 2 +- ...krub.datasets.make_deduplication_data.html | 2 +- dev/generated/skrub.deduplicate.html | 2 +- dev/generated/skrub.fuzzy_join.html | 16 +- dev/generated/skrub.to_datetime.html | 2 +- dev/lite/api/contents/all.json | 8 +- dev/lite/api/contents/auto_examples/all.json | 40 +-- dev/searchindex.js | 2 +- dev/sg_execution_times.html | 32 +-- 62 files changed, 749 insertions(+), 871 deletions(-) diff --git a/dev/.buildinfo b/dev/.buildinfo index 7442e07c..5add28e7 100644 --- a/dev/.buildinfo +++ b/dev/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. 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- 3.0 + USC00164931 + 2008-10-05 NaN + 0.0 + 0.0 4 - ASN00086351 - 2008-10-29 - 229.0 + NOE00111309 + 2008-08-18 + NaN 0.0 NaN @@ -478,13 +457,6 @@ Weather data: auxiliary tables from external sources -.. rst-class:: sphx-glr-script-out - - .. code-block:: none - - /home/circleci/project/miniconda/envs/testenv/lib/python3.10/site-packages/skrub/datasets/_fetching.py:680: UserWarning: Could not find the dataset '41710524' locally. Downloading it from figshare; this might take a while... If it is interrupted, some files might be invalid/incomplete: if on the following run, the fetching raises errors, you can try fixing this issue by deleting the directory /home/circleci/skrub_data/figshare/figshare_41710524.parquet. - info = _fetch_figshare(dataset_id, data_directory) - .. raw:: html @@ -644,33 +616,33 @@ First we join the stations with weather on the ID (exact join): 0 - AEM00041194 - 25.255 - 55.364 - 10.4 - DUBAI INTL - None + AE000041196 + 25.333 + 55.517 + 34.0 + SHARJAH INTER. AIRP None - 41194.0 + GSN + 41196.0 NaN - 2008-07-24 - 453.0 + 2008-08-15 + 422.0 0.0 NaN 1 - AEM00041194 - 25.255 - 55.364 - 10.4 - DUBAI INTL - None + AE000041196 + 25.333 + 55.517 + 34.0 + SHARJAH INTER. AIRP None - 41194.0 + GSN + 41196.0 NaN - 2008-01-21 - 221.0 + 2008-05-08 + 374.0 0.0 NaN @@ -685,41 +657,41 @@ First we join the stations with weather on the ID (exact join): None 41194.0 NaN - 2008-06-21 - 393.0 + 2008-04-04 + 288.0 0.0 NaN 3 - AEM00041217 - 24.433 - 54.651 - 26.8 - ABU DHABI INTL + AEM00041194 + 25.255 + 55.364 + 10.4 + DUBAI INTL None None - 41217.0 - NaN - 2008-03-03 - 305.0 + 41194.0 NaN + 2008-05-21 + 365.0 + 0.0 NaN 4 - AEM00041217 - 24.433 - 54.651 - 26.8 - ABU DHABI INTL + AEM00041194 + 25.255 + 55.364 + 10.4 + DUBAI INTL None None - 41217.0 - NaN - 2008-07-18 - 419.0 + 41194.0 NaN + 2008-01-21 + 221.0 + 0.0 NaN @@ -801,17 +773,17 @@ tables into one. 0 - AEM00041194 - 25.255 - 55.364 - 10.4 - DUBAI INTL - None + AE000041196 + 25.333 + 55.517 + 34.0 + SHARJAH INTER. AIRP None - 41194.0 + GSN + 41196.0 NaN - 2008-07-24 - 453.0 + 2008-08-15 + 422.0 0.0 NaN ROP @@ -821,23 +793,23 @@ tables into one. Thailand 14.078333 101.378334 - 2.418780 - 3.314851 + 2.418437 + 3.314381 True 1 - AEM00041194 - 25.255 - 55.364 - 10.4 - DUBAI INTL - None + AE000041196 + 25.333 + 55.517 + 34.0 + SHARJAH INTER. AIRP None - 41194.0 + GSN + 41196.0 NaN - 2008-01-21 - 221.0 + 2008-05-08 + 374.0 0.0 NaN ROP @@ -847,8 +819,8 @@ tables into one. Thailand 14.078333 101.378334 - 2.418780 - 3.314851 + 2.418437 + 3.314381 True @@ -862,8 +834,8 @@ tables into one. None 41194.0 NaN - 2008-06-21 - 393.0 + 2008-04-04 + 288.0 0.0 NaN ROP @@ -879,18 +851,18 @@ tables into one. 3 - AEM00041217 - 24.433 - 54.651 - 26.8 - ABU DHABI INTL + AEM00041194 + 25.255 + 55.364 + 10.4 + DUBAI INTL None None - 41217.0 - NaN - 2008-03-03 - 305.0 + 41194.0 NaN + 2008-05-21 + 365.0 + 0.0 NaN ROP Prachinburi @@ -899,24 +871,24 @@ tables into one. Thailand 14.078333 101.378334 - 2.392028 - 3.278188 + 2.418780 + 3.314851 True 4 - AEM00041217 - 24.433 - 54.651 - 26.8 - ABU DHABI INTL + AEM00041194 + 25.255 + 55.364 + 10.4 + DUBAI INTL None None - 41217.0 - NaN - 2008-07-18 - 419.0 + 41194.0 NaN + 2008-01-21 + 221.0 + 0.0 NaN ROP Prachinburi @@ -925,8 +897,8 @@ tables into one. Thailand 14.078333 101.378334 - 2.392028 - 3.278188 + 2.418780 + 3.314851 True @@ -1253,10 +1225,8 @@ The results: warnings.warn( /home/circleci/project/miniconda/envs/testenv/lib/python3.10/site-packages/sklearn/preprocessing/_encoders.py:241: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as all zeros warnings.warn( - /home/circleci/project/miniconda/envs/testenv/lib/python3.10/site-packages/sklearn/preprocessing/_encoders.py:241: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as all zeros - warnings.warn( - 0.5923 + 0.5848500000000001 @@ -1274,7 +1244,7 @@ Our final cross-validated accuracy score is 0.58. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (11 minutes 14.788 seconds) + **Total running time of the script:** (10 minutes 34.959 seconds) .. _sphx_glr_download_auto_examples_07_multiple_key_join.py: diff --git a/dev/_sources/auto_examples/08_join_aggregation.rst.txt b/dev/_sources/auto_examples/08_join_aggregation.rst.txt index 3374b36d..6cd05cf5 100644 --- a/dev/_sources/auto_examples/08_join_aggregation.rst.txt +++ b/dev/_sources/auto_examples/08_join_aggregation.rst.txt @@ -106,8 +106,6 @@ Note that we use the light version (100k rows). .. code-block:: none - /home/circleci/project/miniconda/envs/testenv/lib/python3.10/site-packages/skrub/datasets/_fetching.py:682: UserWarning: Could not find the dataset 'ratings' locally. Downloading it from MovieLens; this might take a while... If it is interrupted, some files might be invalid/incomplete: if on the following run, the fetching raises errors, you can try fixing this issue by deleting the directory /home/circleci/skrub_data. - info = _fetch_movielens(dataset_id, data_directory) ((100836, 3), (100836,)) @@ -1284,75 +1282,75 @@ operation maximizing our validation score. split1_test_score - 0.045179 - 0.061203 - 0.078924 - 0.087615 - 0.083643 + 0.037373 + 0.052260 + 0.076148 + 0.074394 + 0.056021 split2_test_score - 0.071170 - 0.073612 - 0.101680 - 0.091776 - 0.089107 + 0.067461 + 0.076450 + 0.092964 + 0.090078 + 0.098800 split3_test_score - 0.048284 - 0.061595 - 0.060951 - 0.069888 - 0.063253 + 0.043496 + 0.064224 + 0.064051 + 0.064458 + 0.074996 split4_test_score - 0.141585 - 0.130055 - 0.150162 - 0.160109 - 0.156362 + 0.140038 + 0.126822 + 0.146573 + 0.146450 + 0.148889 split5_test_score - 0.108540 - 0.111022 - 0.106934 - 0.106461 - 0.115973 + 0.111758 + 0.111841 + 0.111038 + 0.105992 + 0.114056 split6_test_score - 0.086493 - 0.104097 - 0.104905 - 0.110491 - 0.114162 + 0.085805 + 0.101996 + 0.106842 + 0.110598 + 0.108889 split7_test_score - 0.066208 - 0.070801 - 0.053547 - 0.057299 - 0.083411 + 0.069714 + 0.064179 + 0.083087 + 0.074070 + 0.070906 split8_test_score - 0.114660 - 0.112979 - 0.111356 - 0.129530 - 0.130324 + 0.109832 + 0.110394 + 0.122837 + 0.122264 + 0.126715 split9_test_score - 0.112268 - 0.152847 - 0.164347 - 0.162349 - 0.182173 + 0.117197 + 0.148490 + 0.173569 + 0.164272 + 0.181640 @@ -1472,7 +1470,7 @@ exhaustive histogram over all the possible values of ratings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 22.544 seconds) + **Total running time of the script:** (0 minutes 17.540 seconds) .. _sphx_glr_download_auto_examples_08_join_aggregation.py: diff --git a/dev/_sources/auto_examples/09_interpolation_join.rst.txt b/dev/_sources/auto_examples/09_interpolation_join.rst.txt index 9210a525..dbb09e3b 100644 --- a/dev/_sources/auto_examples/09_interpolation_join.rst.txt +++ b/dev/_sources/auto_examples/09_interpolation_join.rst.txt @@ -139,8 +139,8 @@ Thus, the values from the right side table of the join are inferred, whereas the 0 25.333 55.517 - 2008-09-16 - 40.1 + 2008-07-26 + 42.6 0.0 NaN @@ -148,36 +148,36 @@ Thus, the values from the right side table of the join are inferred, whereas the 1 25.333 55.517 - 2008-04-27 - 39.6 - 0.0 + 2008-03-07 + 26.9 + NaN NaN 2 25.333 55.517 - 2008-02-07 - 20.5 + 2008-09-13 + 41.6 NaN NaN 3 - 25.333 - 55.517 - 2008-05-24 - 39.4 + 25.255 + 55.364 + 2008-07-14 + 46.6 0.0 NaN 4 - 25.333 - 55.517 - 2008-03-28 - 37.3 - NaN + 25.255 + 55.364 + 2008-10-10 + 36.1 + 0.0 NaN @@ -232,45 +232,45 @@ Thus, the values from the right side table of the join are inferred, whereas the 50000 - 39.6429 - 104.9972 - 2008-11-08 + 39.3745 + 104.8145 + 2008-08-19 NaN - 0.0 + 3.0 0.0 50001 - 39.6429 - 104.9972 - 2008-10-09 + 39.3745 + 104.8145 + 2008-12-12 NaN 0.0 0.0 50002 - 39.6429 - 104.9972 - 2008-01-16 + 39.4850 + 104.9089 + 2008-10-08 NaN 0.0 0.0 50003 - 39.6429 - 104.9972 - 2008-08-16 + 39.4850 + 104.9089 + 2008-07-06 NaN - 173.0 + 0.0 0.0 50004 - 39.6429 - 104.9972 - 2008-09-02 + 39.4850 + 104.9089 + 2008-08-06 NaN 0.0 0.0 @@ -346,61 +346,61 @@ To avoid clashes in the column names, we use the ``suffix`` parameter to append 0 25.333 55.517 - 2008-09-16 - 40.1 + 2008-07-26 + 42.6 0.0 NaN - 28.684893 - 49.402491 - 0.018109 + 34.255698 + 111.794814 + 0.107291 1 25.333 55.517 - 2008-04-27 - 39.6 - 0.0 + 2008-03-07 + 26.9 NaN - 27.964409 - 24.172959 - 0.025434 + NaN + 27.412505 + 32.724635 + 0.379285 2 25.333 55.517 - 2008-02-07 - 20.5 + 2008-09-13 + 41.6 NaN NaN - 24.310395 - 32.873948 - 1.677858 + 31.022947 + 32.271681 + 0.107291 3 - 25.333 - 55.517 - 2008-05-24 - 39.4 + 25.255 + 55.364 + 2008-07-14 + 46.6 0.0 NaN - 29.002364 - 29.028542 - 0.012353 + 34.039674 + 54.247039 + 0.107291 4 - 25.333 - 55.517 - 2008-03-28 - 37.3 - NaN + 25.255 + 55.364 + 2008-10-10 + 36.1 + 0.0 NaN - 25.826708 - 20.920927 - 0.089440 + 28.372871 + 21.278538 + 0.107291 @@ -580,7 +580,7 @@ Then, we use it to transform the flights table -- it adds a ``'TMAX'`` column co MI 42.212059 -83.348836 - 2.614786 + 1.141964 1 @@ -592,7 +592,7 @@ Then, we use it to transform the flights table -- it adds a ``'TMAX'`` column co TX 32.895951 -97.037200 - 19.670576 + 20.753562 2 @@ -604,7 +604,7 @@ Then, we use it to transform the flights table -- it adds a ``'TMAX'`` column co NC 36.097747 -79.937297 - 16.837124 + 17.137275 3 @@ -616,7 +616,7 @@ Then, we use it to transform the flights table -- it adds a ``'TMAX'`` column co IL 41.979595 -87.904464 - 15.861815 + 15.774924 4 @@ -628,7 +628,7 @@ Then, we use it to transform the flights table -- it adds a ``'TMAX'`` column co TX 32.895951 -97.037200 - 15.746707 + 13.916933 @@ -678,11 +678,11 @@ States with the lowest average predicted temperatures: Alaska, Montana, North Da state - AK -2.495543 - MT 0.734297 - WA 0.964046 - MN 2.043288 - OR 2.240099 + AK -4.191057 + WA -0.825631 + MT -0.329590 + ND 0.783150 + MN 1.434115 Name: TMAX, dtype: float64 @@ -707,11 +707,11 @@ States with the highest predicted temperatures: Puerto Rico, Virgin Islands, Haw state - LA 21.750685 - FL 24.602761 - HI 25.430988 - VI 25.954680 - PR 26.783420 + LA 21.423720 + FL 24.590627 + HI 26.861763 + VI 30.012751 + PR 30.648656 Name: TMAX, dtype: float64 @@ -787,7 +787,7 @@ It is a generalization of the :func:`~skrub.fuzzy_join`, as :func:`~skrub.fuzzy_ .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 6.974 seconds) + **Total running time of the script:** (0 minutes 5.292 seconds) .. _sphx_glr_download_auto_examples_09_interpolation_join.py: diff --git a/dev/_sources/auto_examples/sg_execution_times.rst.txt b/dev/_sources/auto_examples/sg_execution_times.rst.txt index 86f1eab1..9f93594b 100644 --- a/dev/_sources/auto_examples/sg_execution_times.rst.txt +++ b/dev/_sources/auto_examples/sg_execution_times.rst.txt @@ -6,7 +6,7 @@ Computation times ================= -**24:30.357** total execution time for 9 files **from auto_examples**: +**23:26.245** total execution time for 9 files **from auto_examples**: .. container:: @@ -32,30 +32,30 @@ Computation times * - Example - Time - Mem (MB) - * - :ref:`sphx_glr_auto_examples_07_multiple_key_join.py` (``07_multiple_key_join.py``) - - 11:14.788 - - 0.0 * - :ref:`sphx_glr_auto_examples_06_ken_embeddings.py` (``06_ken_embeddings.py``) - - 10:45.188 + - 10:43.189 + - 0.0 + * - :ref:`sphx_glr_auto_examples_07_multiple_key_join.py` (``07_multiple_key_join.py``) + - 10:34.959 - 0.0 * - :ref:`sphx_glr_auto_examples_01_encodings.py` (``01_encodings.py``) - - 01:21.755 + - 01:10.985 - 0.0 * - :ref:`sphx_glr_auto_examples_04_fuzzy_joining.py` (``04_fuzzy_joining.py``) - - 00:25.014 + - 00:22.339 - 0.0 * - :ref:`sphx_glr_auto_examples_08_join_aggregation.py` (``08_join_aggregation.py``) - - 00:22.544 - - 0.0 - * - :ref:`sphx_glr_auto_examples_09_interpolation_join.py` (``09_interpolation_join.py``) - - 00:06.974 + - 00:17.540 - 0.0 * - :ref:`sphx_glr_auto_examples_05_deduplication.py` (``05_deduplication.py``) - - 00:06.666 + - 00:05.496 + - 0.0 + * - :ref:`sphx_glr_auto_examples_09_interpolation_join.py` (``09_interpolation_join.py``) + - 00:05.292 - 0.0 * - :ref:`sphx_glr_auto_examples_03_datetime_encoder.py` (``03_datetime_encoder.py``) - - 00:05.414 + - 00:04.591 - 0.0 * - :ref:`sphx_glr_auto_examples_02_feature_interpretation_with_gapencoder.py` (``02_feature_interpretation_with_gapencoder.py``) - - 00:02.014 + - 00:01.853 - 0.0 diff --git a/dev/_sources/sg_execution_times.rst.txt b/dev/_sources/sg_execution_times.rst.txt index cc86e48a..312608b2 100644 --- a/dev/_sources/sg_execution_times.rst.txt +++ b/dev/_sources/sg_execution_times.rst.txt @@ -6,7 +6,7 @@ Computation times ================= -**24:30.357** total execution time for 9 files **from all galleries**: +**23:26.245** total execution time for 9 files **from all galleries**: .. container:: @@ -32,30 +32,30 @@ Computation times * - Example - Time - Mem (MB) - * - :ref:`sphx_glr_auto_examples_07_multiple_key_join.py` (``../examples/07_multiple_key_join.py``) - - 11:14.788 - - 0.0 * - :ref:`sphx_glr_auto_examples_06_ken_embeddings.py` (``../examples/06_ken_embeddings.py``) - - 10:45.188 + - 10:43.189 + - 0.0 + * - :ref:`sphx_glr_auto_examples_07_multiple_key_join.py` (``../examples/07_multiple_key_join.py``) + - 10:34.959 - 0.0 * - :ref:`sphx_glr_auto_examples_01_encodings.py` (``../examples/01_encodings.py``) - - 01:21.755 + - 01:10.985 - 0.0 * - :ref:`sphx_glr_auto_examples_04_fuzzy_joining.py` (``../examples/04_fuzzy_joining.py``) - - 00:25.014 + - 00:22.339 - 0.0 * - :ref:`sphx_glr_auto_examples_08_join_aggregation.py` (``../examples/08_join_aggregation.py``) - - 00:22.544 - - 0.0 - * - :ref:`sphx_glr_auto_examples_09_interpolation_join.py` (``../examples/09_interpolation_join.py``) - - 00:06.974 + - 00:17.540 - 0.0 * - :ref:`sphx_glr_auto_examples_05_deduplication.py` (``../examples/05_deduplication.py``) - - 00:06.666 + - 00:05.496 + - 0.0 + * - :ref:`sphx_glr_auto_examples_09_interpolation_join.py` (``../examples/09_interpolation_join.py``) + - 00:05.292 - 0.0 * - :ref:`sphx_glr_auto_examples_03_datetime_encoder.py` (``../examples/03_datetime_encoder.py``) - - 00:05.414 + - 00:04.591 - 0.0 * - :ref:`sphx_glr_auto_examples_02_feature_interpretation_with_gapencoder.py` (``../examples/02_feature_interpretation_with_gapencoder.py``) - - 00:02.014 + - 00:01.853 - 0.0 diff --git a/dev/auto_examples/01_encodings.html b/dev/auto_examples/01_encodings.html index d06b0d1b..c404a7a7 100644 --- a/dev/auto_examples/01_encodings.html +++ b/dev/auto_examples/01_encodings.html @@ -1194,47 +1194,42 @@

    A simple prediction pipeline
    tv.named_transformers_["high_cardinality"].get_feature_names_out()
     
    -
    array(['director, officers, officer',
    -       'compensation, conservation, classification',
    -       'silver, spring, urban', 'eligibility, accessibility, facilities',
    -       'welfare, childhood, child', 'division, animal, major',
    -       'abandoned, background, budget', 'district, patrol, squad',
    -       'school, health, based', 'traffic, safety, alcohol',
    -       'gaithersburg, clarksburg, the',
    -       'management, equipment, automotive',
    -       'investigative, investigations, criminal',
    -       'services, highway, service', 'technology, systems, telephone',
    -       'security, custody, mcdc', 'supports, support, council',
    -       'station, state, estate', 'training, building, planning',
    -       'nicholson, transit, taxicab', 'outreach, assault, family',
    -       'communications, communication, commuter',
    -       'inspections, collection, inspection',
    -       'warehouse, delivery, liquor',
    -       'administration, battalion, administrative',
    -       'development, assessment, stormwater',
    -       'environmental, regulatory, behavioral',
    -       'rockville, downtown, fallsgrove', 'emergency, crossing, programs',
    -       'engineering, projects, parking',
    -       'recreation, correctional, correction',
    -       'master, registered, water', 'manager, investigator, iii',
    -       'officer, office, police', 'coordinator, transit, coordinating',
    -       'captain, rescue, battalion', 'operator, equipment, apprentice',
    -       'school, room, behavioral',
    +
    array(['administration, administrative, battalion',
    +       'services, highway, service', 'station, state, estate',
    +       'patrol, 5th, 6th', 'investigative, investigations, criminal',
    +       'toddlers, custody, members', 'nicholson, transit, taxicab',
    +       'management, mangement, budget', 'rockville, twinbrook, downtown',
    +       'traffic, safety, alcohol', 'eligibility, assistance, assisted',
    +       'personnel, family, crisis', 'supports, support, sports',
    +       'behavioral, health, school', 'delivery, operations, emergency',
    +       'gaithersburg, the, clarksburg',
    +       'maintenance, facilities, finance',
    +       'technology, systems, information', 'district, squad, 3rd',
    +       'programs, program, accounts', 'processing, building, structural',
    +       'division, animal, virtual', 'welfare, children, childhood',
    +       'warehouse, liquor, labor', 'duplicating, regulation, educational',
    +       'director, training, recruit',
    +       'inspections, special, communications', 'silver, spring, urban',
    +       'development, automotive, equipment', 'security, mc311, mccf',
    +       'supervisor, supervisory, mcfrs', 'sergeant, cadet, emergency',
    +       'correctional, correction, corporal', 'operator, bus, operations',
    +       'officer, office, police', 'specialist, special, financial',
    +       'firefighter, rescuer, rescue', 'lieutenant, captain, chief',
    +       'warehouse, welfare, caseworker',
    +       'enforcement, inspector, abandoned', 'community, health, nurse',
    +       'coordinator, coordinating, services', 'manager, engineer, iii',
            'information, technology, technologist',
    -       'community, security, nurse', 'technician, mechanic, supply',
    -       'income, assistance, client', 'enforcement, permitting, inspector',
    +       'purchasing, crossing, parking', 'technician, mechanic, supply',
    +       'school, room, behavioral', 'legislative, principal, executive',
    +       'assistance, income, client', 'sheriff, telephone, deputy',
    +       'equipment, investment, investigator',
    +       'therapist, administrator, estate',
    +       'environmental, analyst, budget', 'accountant, assistant, library',
    +       'program, programs, projects', 'recruit, crew, recreation',
            'liquor, clerk, store',
            'communications, telecommunications, safety',
    -       'legislative, principal, executive',
    -       'firefighter, recruit, rescuer', 'corporal, pfc, private',
    -       'lieutenant, attendant, maintenance',
    -       'specialist, special, quality', 'warehouse, worker, truck',
    -       'assistant, library, librarian', 'sergeant, cadet, emergency',
    -       'plumber, engineer, auditor', 'program, programs, projects',
    -       'administrative, administration, administrator',
    -       'services, service, urban', 'therapist, sheriff, deputy',
    -       'crossing, planning, purchasing',
    -       'environmental, budget, enviromental'], dtype=object)
    +       'planning, permitting, resources', 'master, registered, meter'],
    +      dtype=object)
     
    -
    R2 score:  mean: 0.919; std: 0.015
    +
    R2 score:  mean: 0.921; std: 0.012
     

    The simple pipeline applied on this complex dataset gave us very good results.

    @@ -1740,7 +1735,7 @@

    ConclusionTotal running time of the script: (1 minutes 21.755 seconds)

    +

    Total running time of the script: (1 minutes 10.985 seconds)

    -
    /home/circleci/project/miniconda/envs/testenv/lib/python3.10/site-packages/skrub/datasets/_fetching.py:678: UserWarning: Could not find the dataset 'NY.GDP.PCAP.CD' locally. Downloading it from the World Bank; this might take a while... If it is interrupted, some files might be invalid/incomplete: if on the following run, the fetching raises errors, you can try fixing this issue by deleting the directory /home/circleci/skrub_data/world_bank/NY.GDP.PCAP.CD.csv.
    -  info = _fetch_world_bank_data(dataset_id, data_directory)
    -
    -

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