skore/__init__.py,sha256=EbD2d3TlxFIM-Yc5P449XGk6T8AElumt23n8_W9qEfg,1234
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=Jri7R3nbRJz-o5UZzlSw6oFQiiNHRWcVcC48OYiHM9Y,12323
skore/sklearn/__init__.py,sha256=JEU7jyIhxWLwSSRzobyoV9kldsI1lh35JtVpqn-hrCw,608
skore/sklearn/_base.py,sha256=4j_FhWfrAvW1mjTkpTRdDyvNU1b0jw61h9sgH5S_7iI,15060
skore/sklearn/find_ml_task.py,sha256=6vgVrI-SOllQOnkLAwZaYCIqjv_4V_78K0xcCfx0ifQ,5924
skore/sklearn/types.py,sha256=qvH2xFr46t034vwVIQPGyhj_EoyDRcho3aNDn_LnEqo,1853
skore/sklearn/_comparison/__init__.py,sha256=p_A5cRUppzKHgYSh-nNO_oCnJMK-D3XMc0JceP3rQWc,298
skore/sklearn/_comparison/metrics_accessor.py,sha256=MIqHBXoWbn9nM_oQrG9rnaJ0ckC5uA8ah8rD-EL6y-Q,59752
skore/sklearn/_comparison/precision_recall_curve_display.py,sha256=tmsK3lKOo1RwAEDfEVKdd5H6h10gouVPCnj4omV-KqA,11826
skore/sklearn/_comparison/prediction_error_display.py,sha256=ZGHmI424zAw1hDyw47lg30JSbF2OXua-SsMwTRvkUq4,9260
skore/sklearn/_comparison/report.py,sha256=xSFuxQ_nLLByhy3RoXeunCebOpDujNHqcoTkZLC620E,10563
skore/sklearn/_comparison/roc_curve_display.py,sha256=ygsZpc_f4dYp92feYCedigQBDR8bFUplEASJfywckVA,10869
skore/sklearn/_cross_validation/__init__.py,sha256=W2oFquKQ72NHfqfrKqYH7P3VoWm4qWnrDXTG5Myk2Fg,334
skore/sklearn/_cross_validation/metrics_accessor.py,sha256=ZJuHgBcqW9cjnbM1A3h2OAJ9_UjIrHlVrLuemL-sKmk,45450
skore/sklearn/_cross_validation/report.py,sha256=vbtPfCcqCIm6kHws62qIfxn9fwE_horilPNcLisG030,12752
skore/sklearn/_estimator/__init__.py,sha256=G6nXatmKI3d3I5w7bh9GXXDPDWY-I7S5MfD4IezxpKk,481
skore/sklearn/_estimator/feature_importance_accessor.py,sha256=9l9sA-fGead_R5fYjQSHFwLhYF3FnBQulV75LHj_6J0,23588
skore/sklearn/_estimator/metrics_accessor.py,sha256=wp1-NfLQQfq0uRBZULqwbcSgxhv6M1BLu6BjUjOgJ_Y,74909
skore/sklearn/_estimator/report.py,sha256=mI2ag8iO3SJV1pBlQUL1X98w5oB3sV01hcbTbTsAcQE,12616
skore/sklearn/_plot/__init__.py,sha256=2odeOh6lPX2sWmfyjH3SFYk9HIXRXxlssLYuHYLHLkU,316
skore/sklearn/_plot/precision_recall_curve.py,sha256=rzSRBrMRKzOoAMjUkIMAmQsbEz2fz53xP-nB9aaQnGs,20283
skore/sklearn/_plot/prediction_error.py,sha256=4AGwGZQTJxRTqMjOKf3zu6ZVo-T6UJiDTnuioEbBZ74,14635
skore/sklearn/_plot/roc_curve.py,sha256=v5pRaWme8ceAAcrB5nkX-vUcOcn5ahigM09RW7uCIw8,19782
skore/sklearn/_plot/style.py,sha256=ZMrvjqYtc_GkLt4C80hNNrQupOV775JM8qruxevXve4,1498
skore/sklearn/_plot/utils.py,sha256=H9orl8_PWZQBVub2omW4-yPf93U-N7jdzer6FVu8VKI,8856
skore/sklearn/train_test_split/__init__.py,sha256=VpVkBCxL2RB6VYO_MEASLhNjnV3pHcT8dhIoadM0VeM,284
skore/sklearn/train_test_split/train_test_split.py,sha256=JCO2HMnmDrfQmJ5nQ-tt_XGhPF5rSlNZycS_GGPSKVc,6104
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=ohkQ3wjG7o0DFUEZTgAnCi19c9JVLOlxcWyaxAIfC1g,2907
skore/sklearn/train_test_split/warning/high_class_imbalance_warning.py,sha256=SdJ8J-xR4UOrqTkJhHz-N-WUfCVRCTRQrHYAF0agIC0,2297
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=1Ot-vTawOM5zi4luYd2eDkA2LK9Rp9fEbZ3LzSQSaIw,483
skore/utils/__init__.py,sha256=JnCwkisbduZLYv5upbTZnCEMhR_YjPoAeMSONncOXD0,468
skore/utils/_accessor.py,sha256=Jcz6z2cIsKce-cnt24oZsshJAaDQnXEr_3lHOsCzfRQ,1808
skore/utils/_environment.py,sha256=zKagicnbTDGyvJEl__6uYvQIcwdRtwI84n8CKyXau6g,1659
skore/utils/_index.py,sha256=jylOK-Fmv1fPyGymQlwNEL4Vm8kkaDpnTttq3tpx6xM,1130
skore/utils/_logger.py,sha256=fUYYwaQhbLhxQ8A5q7iMarmtS1TzLgjmg_JGZuyFZM8,1152
skore/utils/_parallel.py,sha256=NTaiJbrGBKORkDaa1wLG2ICeM8JXrNyrD8ISEZSNL24,4839
skore/utils/_patch.py,sha256=RPLj4WA1Wjtblnz8H0_mJghJgiTbM1G4JBAxnxcd9j0,1351
skore/utils/_progress_bar.py,sha256=eu0U4_W6GGEkxJ2CCyE1Z8MNtMKWH3nVUGCddUyPocs,2981
skore/utils/_show_versions.py,sha256=7EVWsFvozlCSeXQ4_gvT-bupEZPlTJNd87wyEA20MQc,2187
skore-0.8.1.dist-info/METADATA,sha256=H8Bvy2Um90zvh-xdbiMFejiBKgl084dCdMKNCjjqjdc,9597
skore-0.8.1.dist-info/WHEEL,sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ,87
skore-0.8.1.dist-info/licenses/LICENSE,sha256=bmK4YpxFftVXN1286WmMWwiup3CR7ta2mf9JBTfStSE,1064
skore-0.8.1.dist-info/RECORD,,
