skore/__init__.py,sha256=BkYPsbtkaK8RulF-7ptKA6_Dh8D3IEKRWUiAV9BKC5U,2367
skore/_config.py,sha256=3dR27lt1vj226CvCWvt15vuNOyDob_ueXkDfSv_YJ1I,4967
skore/_login.py,sha256=hcXhkcMTXgJ7aEmfra-w5wdvW9M7phNeSVHrsahe1ko,2132
skore/exceptions.py,sha256=ar6Ap4JD4FT3gm2coZU6OKi8wUdtXfRNNgcQpbtodLg,761
skore/_externals/__init__.py,sha256=oVaCgMdGIcMqKMSjh0D5Ycu5nM7SC2qYeQVll-DXJi8,50
skore/_externals/_pandas_accessors.py,sha256=5lEHDOOq7rHKI_8uicGk4FshI5cvjwpKBGRXQmE-WP0,1513
skore/_externals/_sklearn_compat.py,sha256=VAEywvPijRl2s-pYQMnHBrwfuu8O_Poi03gTNkI2xF4,30826
skore/_externals/_skrub_compat.py,sha256=0H-23KDVnXZ79KrXcjSFm1gFaRgTojHdwwDh1D2MKs0,2291
skore/_sklearn/__init__.py,sha256=RKoyDq-rqREvBXSvhDIU4NUQAuH1U5klLLZsF3WQ6ag,777
skore/_sklearn/_base.py,sha256=cmaqivwZggeGbCzyujWEjL30VCaxDFuzRySB1dkxdbo,18609
skore/_sklearn/feature_names.py,sha256=icjTeFVtUO3CxD-qtrPjyWQoaO2yqUnHATlWYIopSsc,1785
skore/_sklearn/find_ml_task.py,sha256=4Ik_E2znsk-4JWVSrYqXGzkuLCwr2FqbvHSchKEiN_g,6000
skore/_sklearn/types.py,sha256=FwKrELpiXazAHgo4NoqW7-6wSKzHLBDb-U8vdekYBBo,2659
skore/_sklearn/_comparison/__init__.py,sha256=NOC-E0idU4i40x2v2UKel3lkQ94a94z-dixFXkqEN-s,461
skore/_sklearn/_comparison/inspection_accessor.py,sha256=wJR_bOYCz_c6F3TjzfE2xI4YodV10F6usaRDMMODOxI,6009
skore/_sklearn/_comparison/metrics_accessor.py,sha256=_mAbXu9ujlaijZBq2Jox5wfnnxeWFt85LCzFKXIPZaM,69490
skore/_sklearn/_comparison/report.py,sha256=41LlN4D25wWFg5hecrCCvjaAXA4Dx352H-ZNvSYZ8wA,20388
skore/_sklearn/_comparison/utils.py,sha256=G2kTC6GJteV0kyibkOjEGjC-vfiP4vLCyZJ8x8iLY2o,12312
skore/_sklearn/_cross_validation/__init__.py,sha256=PNxgicIAXnrVMv3vQrVCX9hS6TRoGrnKinigvebqpLU,646
skore/_sklearn/_cross_validation/data_accessor.py,sha256=ExhAhfctGIxLsRI04kKIwg4tOd-CKF2gMOQwJInxr6c,5235
skore/_sklearn/_cross_validation/inspection_accessor.py,sha256=jSxcp33sbj47miDeVexe6gpwtLtEJgogIn_q3eEIU9s,5559
skore/_sklearn/_cross_validation/metrics_accessor.py,sha256=jw4vtOR_g4wZqlq8ZDQ_qXAj572n4_XSVTzmUZoWwDM,59415
skore/_sklearn/_cross_validation/report.py,sha256=xGMBsadDADAG8ZYTTkvEUqS0kylKdtsm2OOdKB7fcM4,18995
skore/_sklearn/_estimator/__init__.py,sha256=8MXUfaMpEvWcliTxAFA6hetvy1ppczCtTXugAQWOC9Y,581
skore/_sklearn/_estimator/data_accessor.py,sha256=fIUQnzlsp6pInkmhVPYNmmiG3Rtbcqe_E8tn1uBMs3U,7600
skore/_sklearn/_estimator/inspection_accessor.py,sha256=L7lFtqieWYeJaGlSRA3ZbTwsK1WmkGoJEEW-_Wt3qHI,18678
skore/_sklearn/_estimator/metrics_accessor.py,sha256=QhZnzg8O1TMHeDuIzf-OBBeLHwnCHZNqgVaqVCotffg,84764
skore/_sklearn/_estimator/report.py,sha256=CPfYiNjBsW3pgVEGU5_3cNDFjGsoihj8BWPkGvOsBp8,17194
skore/_sklearn/_plot/__init__.py,sha256=ZGHdRPe0wdr9_oz13gDZPjQMxdD3D-mGrwNyhOHG0rM,427
skore/_sklearn/_plot/base.py,sha256=y14Piy-lvj6eCuhPGR0XpVlICXDLoL2jfQRpoHgCae4,11281
skore/_sklearn/_plot/utils.py,sha256=n2flmGcHuHaoSrNwdBscJooFaFV55ySw_dPAxTZF41o,14092
skore/_sklearn/_plot/data/__init__.py,sha256=w-HsMLL9ELa17LfFPS-Xj48-fv8b-IUOf1H7dP5TPzA,104
skore/_sklearn/_plot/data/table_report.py,sha256=kmaSVTOlyXq5hY8X6YlU4SrSgy6GGkzIvyi0-sTYKc8,25705
skore/_sklearn/_plot/inspection/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
skore/_sklearn/_plot/inspection/coefficients.py,sha256=1zXy_NoUpUAnBYjdmsCyyzvqUg-q4UQp92-fTvj2VTk,31860
skore/_sklearn/_plot/inspection/impurity_decrease.py,sha256=jyRve9a65G9IobXsCK2PslyOOU8kewNFYh8KnwLSz0k,12627
skore/_sklearn/_plot/inspection/permutation_importance.py,sha256=stHuAvuyqDkbAo_NhsV_sSkKJ1d7EoJSfM4QnK9BbxE,17166
skore/_sklearn/_plot/inspection/utils.py,sha256=QADk7zUnNfUKHhelswZpwnme6IPm5JSEkZfSiUMtQpI,1202
skore/_sklearn/_plot/metrics/__init__.py,sha256=eEsHvJHFVPLujzGYA8l5BpufLDs48TAP0zXJUEthzuk,579
skore/_sklearn/_plot/metrics/confusion_matrix.py,sha256=pRm8K0ixWZTGWMBSqpc18aiu1Ys_8jVoo0wqr4gtAtg,24060
skore/_sklearn/_plot/metrics/metrics_summary_display.py,sha256=fuWTzUnIfrRCIPi_xAWeJ6SX8KpwYFKz1dmPbCHEE1E,701
skore/_sklearn/_plot/metrics/precision_recall_curve.py,sha256=M7pt3v5wUSOKXeIvdu8uSiUEME42YetA_M6rD9tlsIk,20668
skore/_sklearn/_plot/metrics/prediction_error.py,sha256=1CzuIXLcmZ6xjgkIMR400UjfVssjHfH6bQiGYyi9hKc,22118
skore/_sklearn/_plot/metrics/roc_curve.py,sha256=b_LUEeyjsVttxCQ6JRORUmgNt2ggiE-fLFIhnZl-dUI,20208
skore/_sklearn/train_test_split/__init__.py,sha256=VpVkBCxL2RB6VYO_MEASLhNjnV3pHcT8dhIoadM0VeM,284
skore/_sklearn/train_test_split/train_test_split.py,sha256=nnAjNSjpnbaMB3wQaGjTd44j1xQkPoU8eHJXhCXr7M8,9498
skore/_sklearn/train_test_split/warning/__init__.py,sha256=8Lv6klsRlzopbvvmeTA3O76dpj5VJ7NMuKtTBmLG2uA,1002
skore/_sklearn/train_test_split/warning/high_class_imbalance_too_few_examples_warning.py,sha256=f3Lez8snEkdA2oyDOkENBRQU_0H7eXuAOkjUq25tJVw,3036
skore/_sklearn/train_test_split/warning/high_class_imbalance_warning.py,sha256=61oT5IiGLkKhVvqAEr5BbrtRrC-SO3O24f64ikVO8ZA,2409
skore/_sklearn/train_test_split/warning/random_state_unset_warning.py,sha256=VESJEidY8P8xTrW1g1iRiSeuS5Vvv9HlFoQhk6Xb6dw,1352
skore/_sklearn/train_test_split/warning/shuffle_true_warning.py,sha256=ItRxERi-864f_VyqJzddQuOIUnvW_n9DxdYo1kUDQiU,1359
skore/_sklearn/train_test_split/warning/stratify_is_set_warning.py,sha256=SLWJD5K42XtzctJIopIhnO32sQfooO0_XWs6DKgbYcw,1204
skore/_sklearn/train_test_split/warning/time_based_column_warning.py,sha256=XOnX3BFrWsY_V9nRmkqjqNzHkaD7vtgt_B471xkUmD0,2405
skore/_sklearn/train_test_split/warning/train_test_split_warning.py,sha256=_MUTwDNW3p2UIfBfpJXT0FgIeti2fPwd2rfEaKttoow,439
skore/_utils/__init__.py,sha256=JnCwkisbduZLYv5upbTZnCEMhR_YjPoAeMSONncOXD0,468
skore/_utils/_accessor.py,sha256=amuSsuVcsA9ze-XpZb1WzU7iUWVKJ9mnqYfQLcG05Cw,9446
skore/_utils/_cache.py,sha256=Zax4wOonSsNae5GhZUvE6stOvmsn7plWZIOpGWXzt9o,1529
skore/_utils/_environment.py,sha256=zKagicnbTDGyvJEl__6uYvQIcwdRtwI84n8CKyXau6g,1659
skore/_utils/_fixes.py,sha256=-B4L5lB6rJV-OHLXhpqzBTnqoHc1U7aFMNSi_dk1v9A,584
skore/_utils/_index.py,sha256=jylOK-Fmv1fPyGymQlwNEL4Vm8kkaDpnTttq3tpx6xM,1130
skore/_utils/_logger.py,sha256=fUYYwaQhbLhxQ8A5q7iMarmtS1TzLgjmg_JGZuyFZM8,1152
skore/_utils/_measure_time.py,sha256=CSJ2UTMKa-e-4B2Q2Cm23slYrYJ9EgrLFVADy-B_7G8,597
skore/_utils/_parallel.py,sha256=vTEkwm2anGfMmd0At0sHQXA1GNPxQRsw2V4tqlgcjcc,4844
skore/_utils/_patch.py,sha256=0zjjf42NBGNEU125SGnR6t-Szacg6aj6RmstVax3VHM,2619
skore/_utils/_progress_bar.py,sha256=lzC2J8m6FDopFS6E_kHhL6HcfGImlcCLxYOeQx-B4vw,2446
skore/_utils/_repr_html.py,sha256=pZTSiwlyYDiCD3_myK8XhHVDTcyMG_a4Jsufb3kDt4k,510
skore/_utils/_show_versions.py,sha256=8YIeq85I8PqOYH7R9okDP7iHahlIe3yXCoXZKCre2nQ,2324
skore/_utils/_testing.py,sha256=NSTUgpPMOBGtGUkVekFtoJp-TpSNCzfyU9FVw1h4L6E,4313
skore/project/__init__.py,sha256=gEaOTTaDYOcGeqxXQAMamMykVVzVkt-OZZ77rw2E9z0,133
skore/project/_summary.py,sha256=yDCeQaFN5KVejrhA9LZ36frVDAfbS-VapKxVnFxS6mg,7611
skore/project/_widget.py,sha256=U7ltmtDLayeBZ44uSL_7_zGYAHCR6I5V945W4To01tg,25769
skore/project/project.py,sha256=V6UYGk_KqLnaC-_COn5wgLMW1YXYzHqWesRknHy1kZA,11444
skore-0.12.0.dist-info/METADATA,sha256=LndMZo5j6TvagFTk2cDGF6GHVjAMyTu88IPgh424BvM,11518
skore-0.12.0.dist-info/WHEEL,sha256=WLgqFyCfm_KASv4WHyYy0P3pM_m7J5L9k2skdKLirC8,87
skore-0.12.0.dist-info/licenses/LICENSE,sha256=GjJhmbmsZk3eIzuX0s40eJaTREuH8VziGN1IwGsiNgs,1069
skore-0.12.0.dist-info/RECORD,,
