skore/__init__.py,sha256=C3jvsDzi4ch1VAXY1bad1yOGhq3t-yeSquDGF18hgtE,1708
skore/_config.py,sha256=lfSiVAhXQnrnXGYB2Tg8wVD_X1pSAeQ34uk7C2IoF-o,4089
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=CPR0KS7nhexYm1kiHdg9x4HFnDrT-SVevWA57hIXvl0,30192
skore/persistence/__init__.py,sha256=ivP0O9Bos2dBdAI1QSmZDu-PdFMR1wJnzuIiQaBtAaA,76
skore/persistence/item/__init__.py,sha256=xqMRPgfTjl2EmNaaW9jsv2zSmx_SuSpgsPp_AjaNZBc,3892
skore/persistence/item/altair_chart_item.py,sha256=I6kA633GGTqBgNLoggs9elF6F--fnIjSFzqZkd_S2CI,1961
skore/persistence/item/item.py,sha256=yNxw0eBICCszwR88e90wYJdDR6wZogqVCtu14VsFbko,2280
skore/persistence/item/matplotlib_figure_item.py,sha256=zZZ4Oop-tlGiqUlg-8FgXhjSIdvxay_y9fLd71v2xns,2809
skore/persistence/item/media_item.py,sha256=HC-_dkt6VN4s_K1DodwZvbQ2Bg2oITmc7vhzk_GcPiY,2448
skore/persistence/item/numpy_array_item.py,sha256=i8kaQInn3zbNMGEis1SR4CHtqfJ1w99V-ASF35QvEMk,2545
skore/persistence/item/pandas_dataframe_item.py,sha256=30vxe_pvLLlVX9bpNlZml0hbnm9mK4AbBTUaJtiJCtA,4291
skore/persistence/item/pandas_series_item.py,sha256=rdQ62na8Z5YWD4cB997HG0F-ffd5jos5PhViyU-YlD0,3717
skore/persistence/item/pickle_item.py,sha256=QGYCdmKFLUtAlqydFia_hg6P90c3L2xZHRQVI5UF8L0,2070
skore/persistence/item/pillow_image_item.py,sha256=MSBI7aeaVmRnw2OA2xVc6nembQwyd3LMzDvv_05meWk,2547
skore/persistence/item/plotly_figure_item.py,sha256=nF_6pH4C4FKjmPbAQc4eqw_A_AcqrDzMMnw9Dp-Atms,2046
skore/persistence/item/polars_dataframe_item.py,sha256=ezjylqzf3ttxnfcf2AMzQgoZEqPXeBWfDTmHKJv6K8A,2725
skore/persistence/item/polars_series_item.py,sha256=2RkRL0DdzFrcHGA6ihAklUXzYj66WvVAA3iZd-DOems,2305
skore/persistence/item/primitive_item.py,sha256=z1RF-9kq6YKbnX6jVq5BRq1ZHZ3sunTUp83ZMhMxCr8,2365
skore/persistence/item/sklearn_base_estimator_item.py,sha256=1wvLdUYpnL3MF5cUzWUfni_gfmuDNkcYWpCBaOyGwLg,3844
skore/persistence/repository/__init__.py,sha256=RcU3QJZFcymCExxSq2FSPhHBRIWlyd6abXHmSMDy7dg,159
skore/persistence/repository/item_repository.py,sha256=t94UtAab2oc6Yr0r2heLeW3_mmvC7c086C19cdpsfdE,6538
skore/persistence/storage/__init__.py,sha256=NZSJ4NPdCyHpZ6WB0P6y3hKqQGAh-BXj85bT7UkWUlw,300
skore/persistence/storage/abstract_storage.py,sha256=SfIC7-3g-vRCM0N6nY39R_Mw3yUVbpvC9xf97rmkXVM,2889
skore/persistence/storage/disk_cache_storage.py,sha256=KuwCZc0e_D651dwxZaii7gg5LE9oUKwZ-6cy7KAGgRk,3723
skore/persistence/storage/in_memory_storage.py,sha256=7NIo3X5Ta7OND0-Dh2tM2yvAHSzb6MBx3Us6-jn6Ps4,2493
skore/project/__init__.py,sha256=K6vEZ6lY1mFI497n4pkgtBMD43D9yAHHR8MyveQWRNQ,120
skore/project/project.py,sha256=HdlPPCldeeqZws6UsW63ofx9PuVO2XekvUZlCmh8CPE,12347
skore/sklearn/__init__.py,sha256=JEU7jyIhxWLwSSRzobyoV9kldsI1lh35JtVpqn-hrCw,608
skore/sklearn/_base.py,sha256=iJUkK6tEqOFjB9gabuo89R_vx2Z7aNkcDEoOf2-1VFc,15185
skore/sklearn/find_ml_task.py,sha256=aBTUbE5XJP-MkajbRYZMcxf_awxSO_BbLzWFLN-Ul0g,5993
skore/sklearn/types.py,sha256=AufBDi7ThBlvJjYeRRgagA91mwMnnqR-tvq9BQ8SGSM,1985
skore/sklearn/_comparison/__init__.py,sha256=p_A5cRUppzKHgYSh-nNO_oCnJMK-D3XMc0JceP3rQWc,298
skore/sklearn/_comparison/metrics_accessor.py,sha256=aaeNf_s2qUp92s_TSNMMVh2abXFDECPpBKORrQHKYbA,68931
skore/sklearn/_comparison/report.py,sha256=OOeRJwUQZHthOMUV0OnS3nCWCVsMn5RFqCk2nBC7Cis,18613
skore/sklearn/_comparison/utils.py,sha256=rLzlb317LGCmIKOUSJVTIw6IFkNfCR_8LiaVWBMDANU,11645
skore/sklearn/_cross_validation/__init__.py,sha256=W2oFquKQ72NHfqfrKqYH7P3VoWm4qWnrDXTG5Myk2Fg,334
skore/sklearn/_cross_validation/metrics_accessor.py,sha256=RIYME4bm7AWMCZY_noWNrX6HAyRsRWlQMSCKJIKrmiE,56258
skore/sklearn/_cross_validation/report.py,sha256=_qB-7ac98y6KnVLnAdsCuTVLxs0FVKL2JZegeBEJvHU,15884
skore/sklearn/_estimator/__init__.py,sha256=G6nXatmKI3d3I5w7bh9GXXDPDWY-I7S5MfD4IezxpKk,481
skore/sklearn/_estimator/feature_importance_accessor.py,sha256=bgmiTxVlCtDna3qYwwAdQU6DnR5S6zG6ebLu8RlzQXo,23621
skore/sklearn/_estimator/metrics_accessor.py,sha256=0KdtFkuef7iI-VfeCumoJlvbYKDxNDpCyqiUndW2CDI,77431
skore/sklearn/_estimator/report.py,sha256=8ma2aoeavPBYS7NUgC17fbnF93QQ5oH4BGJIzowOMp0,16671
skore/sklearn/_plot/__init__.py,sha256=sFQ7yjxxE4VE8xsfeK8EJG45zY7cZG7Eie4hZhAYyiQ,229
skore/sklearn/_plot/base.py,sha256=BFcJPb_tuuilp0LcyyiH8YNvUAezMjv74sVCaX1LzIw,390
skore/sklearn/_plot/style.py,sha256=tVMvN3U97cRPVPMO8wljmpZHpCMdTiz7nSdQYt9VUds,3337
skore/sklearn/_plot/utils.py,sha256=HhkQ_pYoYqPE73w34cajXb1W3c0u-6fLqGcV_kOu8bg,12521
skore/sklearn/_plot/metrics/__init__.py,sha256=r8jY1rcPc_Ke5wN5gVviNKNjEwxaNCFOO8fFYJLR98o,349
skore/sklearn/_plot/metrics/precision_recall_curve.py,sha256=f3HYTIr89NdJ_gQl3XKheVnjzzij_pPnl6j1hxAR9U4,31028
skore/sklearn/_plot/metrics/prediction_error.py,sha256=GFTowOXS1pAHTgp3NXl7WjaYnCMINaX4uLKgBEW2u98,27394
skore/sklearn/_plot/metrics/roc_curve.py,sha256=qGnZ5_Gg-qYU8C8u4miJUhR-ABa-Emt6b8RJvuIeNIY,29852
skore/sklearn/train_test_split/__init__.py,sha256=VpVkBCxL2RB6VYO_MEASLhNjnV3pHcT8dhIoadM0VeM,284
skore/sklearn/train_test_split/train_test_split.py,sha256=ZwPkSdpLKhruytt22nf9N0kx5jaMlCgEpT40hyB8hHI,8074
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=2F0shdVjlvzChvA43Gnf2rdt3I2bO1DSCmHmrI-E8CI,2965
skore/sklearn/train_test_split/warning/high_class_imbalance_warning.py,sha256=kJBZBfZWgaVRBKZqHQVQhn99H7EszqZ-3Ci8cjm9IUs,2355
skore/sklearn/train_test_split/warning/random_state_unset_warning.py,sha256=PAfKXvV9Q5SJi8a1ihW8h2HMSy9BCmQYBTDv8uNScZE,1383
skore/sklearn/train_test_split/warning/shuffle_true_warning.py,sha256=NqCLj_-VbKETW8aafSIaHGK7sXtGDR5V2u2dZkl_2sA,1390
skore/sklearn/train_test_split/warning/stratify_is_set_warning.py,sha256=HB2AaSWXoN9VfhrQ35uAz-OALXMceRl5C53J9Jym3iE,1229
skore/sklearn/train_test_split/warning/time_based_column_warning.py,sha256=U2phnzD9B4lYm78t2fvzFhVysLd58UQOfpZHaeWL4tc,2423
skore/sklearn/train_test_split/warning/train_test_split_warning.py,sha256=-PP6yk4D782p-QCNCJu-wlYjzT8l64EwPahwmkCI52Q,471
skore/utils/__init__.py,sha256=JnCwkisbduZLYv5upbTZnCEMhR_YjPoAeMSONncOXD0,468
skore/utils/_accessor.py,sha256=VDjMSWYIjnvOhR0Md6i8s1iGoSyOILYPtlSvUjudCzk,3985
skore/utils/_environment.py,sha256=zKagicnbTDGyvJEl__6uYvQIcwdRtwI84n8CKyXau6g,1659
skore/utils/_fixes.py,sha256=BfwucThKSkSId_M4TtOwRbLj4xbwqlgKrO3Nx0OEFR8,583
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=NTaiJbrGBKORkDaa1wLG2ICeM8JXrNyrD8ISEZSNL24,4839
skore/utils/_patch.py,sha256=RPLj4WA1Wjtblnz8H0_mJghJgiTbM1G4JBAxnxcd9j0,1351
skore/utils/_progress_bar.py,sha256=3Jj1sICud5l_uAcjGybv3hXiYIZyrEbrBq5fPOGOEOU,3113
skore/utils/_show_versions.py,sha256=7EVWsFvozlCSeXQ4_gvT-bupEZPlTJNd87wyEA20MQc,2187
skore/utils/_testing.py,sha256=ACe3ZQWpiFKvICAGnlljfI-3z5RxnuGDzziFZLnuejA,456
skore-0.8.3.dist-info/METADATA,sha256=Kvim5DhsmYgqMTeeb-I_hFR1y8r3G2dRChq_j3QAIoQ,9916
skore-0.8.3.dist-info/WHEEL,sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ,87
skore-0.8.3.dist-info/licenses/LICENSE,sha256=DV9CRUYmnto0KkqoZl-gAF1Z-1yGl0LTz6jzPmWR8D8,1069
skore-0.8.3.dist-info/RECORD,,
