julearn/__init__.py,sha256=BncNrBqPUQmY3Wu7keX6cvbS-sTOezx_eDLgGLYRi7Q,498
julearn/_version.py,sha256=VWOMnI8JfK9KwbuTYr6QHhzW_oNjeK-ZpjJqOcI9Uiw,426
julearn/api.py,sha256=PMNEkp-WUDT1mSFoL30cSt1Pu65ZcKlD9Y2dLLQzGME,15235
julearn/config.py,sha256=4Co_cSqkK1pEIjaHtX_k7vZ54-_lkyjTtTTnWeMajcA,1043
julearn/conftest.py,sha256=VS-6nYiTX6HqFESVbvRfT-Kf0YI3OwskXGTNzLXoubU,5630
julearn/prepare.py,sha256=mfimWRe62BZiSYuH6Y2dH_bq9uHcwb7aJaJ2GoRz4os,16338
julearn/base/__init__.py,sha256=hMeMIeQqzNE-AJznXXtJummLZc2Vyeegs2M15w8NrAU,431
julearn/base/column_types.py,sha256=w9LUlhVBNlvJAv5DZvP1SPCndgdmA20V_QeX15oHdhg,7285
julearn/base/estimators.py,sha256=sZdLUcsHVAzPMMNPD0B3PdbOmXx8XtSexNtr_TzC4-8,14478
julearn/base/tests/test_base_estimators.py,sha256=AOpV1ebVurdzlDqCFhH_ptOPbd8zrKSl_uG1tkJfMXs,3032
julearn/base/tests/test_column_types.py,sha256=-Jt_U-m9hYY975rqMKIMuiL6wGRbdoXiZDatpmOJmSM,6986
julearn/inspect/__init__.py,sha256=sjy5FhHh5GMc1oulflCv7Mc8weS1Gd5LGa9FMtgQDJM,284
julearn/inspect/_cv.py,sha256=zVDy_N6Nz8gDZOfvcq2hc01YW4N3irSh5dSbMmskNrQ,5566
julearn/inspect/_pipeline.py,sha256=VdNdiZSdOPcG_WGYyZetKmCTcvn_iX0h7zIhQjH6G3w,2096
julearn/inspect/_preprocess.py,sha256=QQZDYbUKeFdtOpTlspXhkSqTdnSa7xmhW2FeY7mfGNU,1871
julearn/inspect/inspector.py,sha256=8Me2-8lwX3rjjGrcz5kPlqo97wJDIvTE-YjQtXQsItY,2842
julearn/inspect/tests/test_cv.py,sha256=0sMDe-SrD1I8PZ9WNIf1FzjRS3quu9yYXwMKDoVSHc8,5623
julearn/inspect/tests/test_inspector.py,sha256=6hWLAtBZCvpeK_OGzMJs0NwhlVbxjAszUqPAAFAtLZo,2352
julearn/inspect/tests/test_pipeline.py,sha256=Vm3TTbWxnBDUEiEZuGGBrXoNQtAg82obr4tmWs_nyGI,6226
julearn/inspect/tests/test_preprocess.py,sha256=AwKqxYvwYjMf2EFTG7EymHBKiIALyM9WA_oTUwytY40,4493
julearn/model_selection/__init__.py,sha256=QRQYuwnDCQCwkPP-hMn5RZYaUCvanhTQny7Hvff-dFY,497
julearn/model_selection/available_searchers.py,sha256=Lxxe1cujGo4yMS-0MbzYsOdJp9vQa0rqL-HMG9lxb3k,3290
julearn/model_selection/continuous_stratified_kfold.py,sha256=T6O_Tdu_fwhW9gOGNjplrMur0uGWIviYfJCHVW1N9nI,11399
julearn/model_selection/stratified_bootstrap.py,sha256=NR74NNi3H_Zmdz0qgbLqyPpNameBpb9AaS8N3QYpg60,5237
julearn/model_selection/tests/test_available_searchers.py,sha256=JoTwVs7l0VWEGXQ2Otw5i1fQZ8ppoEMYQnT25CtVtsc,1377
julearn/model_selection/tests/test_continous_stratified_kfold.py,sha256=Ib5Libgyxk9QZdct8IGzW9fQcaagfh1pBk-yybCBMD0,6210
julearn/model_selection/tests/test_stratified_bootstrap.py,sha256=2e12iYqT3IbZNBNpsd51PcFArZChAUu7xmS4G_9-2dg,1143
julearn/models/__init__.py,sha256=IZi16KiWb1FmFMHVp5Q8y6hv2-hnGKQY3uCRc-2-ESY,232
julearn/models/available_models.py,sha256=D6TL0izOpD8or55zvCcZYAgQmCC2ol1oZG7TUtrvcUk,7962
julearn/models/dynamic.py,sha256=V2vxrcP2PLZphuBdZwjBwuckDjqrOAlKbLFX5SIZ_bg,6781
julearn/models/tests/test_available_models.py,sha256=mcMBPW-yGHeBIvHzQY04Dt7BGZXIcwevUZQgft4yEbw,1854
julearn/models/tests/test_dynamic.py,sha256=LqadZrxjcNZ-_BQah-b04jJkUKnXAN4_TMBpmgEFiJY,6491
julearn/models/tests/test_models.py,sha256=x92Sl2BWYDlXBhuYpWqeAgvRqNukj3UaVK8PMYaEng4,10076
julearn/pipeline/__init__.py,sha256=YNz_nn3VnUyfxEiLk7jU5hU6LntIzdLdOI88v_jz6Vk,272
julearn/pipeline/merger.py,sha256=4uQvJeS2m6BcZDHyzXGGwPbykbM3hTCUbOK9AmZe6Es,4760
julearn/pipeline/pipeline_creator.py,sha256=ADUZuOmjv4u2K5DOcLvBokoKxAdXCf_aJ_RQRWXcruc,33050
julearn/pipeline/target_pipeline.py,sha256=MUrspTNviveXqiooM95V94hGyGysa1_Sr7JSYLKKxtE,4832
julearn/pipeline/target_pipeline_creator.py,sha256=T-I1oQB5w9HkvyJj3KNaAoqcpUk1OZ4L6SstRvI3iCc,3149
julearn/pipeline/test/test_merger.py,sha256=8VY7Dwc5UMUNWRIN_KWwZY0w9UdMadOZP5x03pyh_L4,3811
julearn/pipeline/test/test_pipeline_creator.py,sha256=GsTugepXifcP0Q7EUKho1kB0XnzDtPYVU5tr_lI7Eas,20357
julearn/pipeline/test/test_target_pipeline.py,sha256=15WMIrcyL0gM-ZL_rdfaDSjPkjQ1TdorE0UnMbRA8AA,6016
julearn/pipeline/test/test_target_pipeline_creator.py,sha256=oYq8T8h3j-FJK0FIQdNiUTLRF7TWnqhuEYPVDMP7qws,1331
julearn/scoring/__init__.py,sha256=sutF-n1mbMZJCY3OLfgxWCreOnZQxPwQWZdf6rFahQ0,279
julearn/scoring/available_scorers.py,sha256=FuohSW9wyQww6A0ynnLN9jl1txg8ZAa0PmhR-Eo9-Pk,5830
julearn/scoring/metrics.py,sha256=XF4uXTkkKFDX1Rvl8RtPlYnvJSMhTMvVZKbwTQnstoM,1617
julearn/scoring/tests/test_available_scorers.py,sha256=QZi7dd7BF0vdrRahiouAIkILFeOXRl_Xi4z1YyBJkKg,1580
julearn/scoring/tests/test_metrics.py,sha256=8ZYmYkfGvb9ACve_yNstJTNcC_VTRpFodxeQBawXvDQ,876
julearn/stats/__init__.py,sha256=zVlM35JmhZBnSAe9SznZ9WJS-UvQj5L93LmrkfhG2bg,45
julearn/stats/corrected_ttest.py,sha256=i9fsq2J2J22flJ3_ICMzLFj4f2sKZkO3CqyI2Q55mzY,7753
julearn/stats/tests/test_corrected_ttest.py,sha256=DnKH15hNeaKzAmGRuNk99nMLVVbEiedKQwnIKfP7zEw,5308
julearn/tests/test_api.py,sha256=aPoujuZznlabPvMqchktCw24L1YgPxod1F95eh7hfnw,37962
julearn/tests/test_config.py,sha256=xw7ayFjAYUGGEM1-0f3gU5Evowcs61hDMeJOJkUI2co,647
julearn/tests/test_prepare.py,sha256=QflE-YwPR7rfxPaN8kxKZn1Z-SDxYJPhqeySlzyP7rA,24533
julearn/transformers/__init__.py,sha256=-c54Q4vcYK-_l8n_9hhSdqYseY5c-3pqvUrKdQVB0iQ,545
julearn/transformers/available_transformers.py,sha256=Z8k9sEC2m-GFcbo-745QeeAyk4kEw47fm8D1ALJZNeE,4666
julearn/transformers/cbpm.py,sha256=hjGHfkYer5MzbOTX-0mq49g0G2O1b_UcW-dbxsqNaOo,10676
julearn/transformers/confound_remover.py,sha256=be41ExACP5A7sLIRm1AXXBmeafdm_iSVEEEvDAqVCXM,8805
julearn/transformers/ju_column_transformer.py,sha256=REPNT8-zTKbu9tnL96t5XZ8hXcS9XjLmWaAeTKgIZ_0,7002
julearn/transformers/dataframe/__init__.py,sha256=wBOpVPpoQbHPw7JuOgMDF-x2rv7UvqprCKfeWOvXg-c,297
julearn/transformers/dataframe/change_column_types.py,sha256=tWYwZzJ2Un5s_c3k25nVCzRBb3iymutTDjZWP8F4CqU,3892
julearn/transformers/dataframe/drop_columns.py,sha256=jKewvQ6EdTOnwEIrxhatNTnUZjMTk1A1j4QAkafN8jg,3294
julearn/transformers/dataframe/filter_columns.py,sha256=V5zyjg7lN-TIN1_PjA9RjXsn8xf74u8qmIMUz9ouPPY,3397
julearn/transformers/dataframe/set_column_types.py,sha256=IU6bbatwQv2lIdpBspjd-qgckCjzqv5T2qmX7SXcW4s,4909
julearn/transformers/dataframe/tests/test_change_column_types.py,sha256=mcpAq7UzpnWfarZ_otj0dQkhbH2-MO6UBL10o9Qh9GU,989
julearn/transformers/dataframe/tests/test_drop_columns.py,sha256=EyxEL_NjUialw01Sks7SN8jo4R0u9nRjp8K9I8JzDo4,1362
julearn/transformers/dataframe/tests/test_filter_columns.py,sha256=oUImF95JnBCD5Ybmf0RJt-wUhvDZO-_JKzjx9IHM9UI,1121
julearn/transformers/dataframe/tests/test_set_column_types.py,sha256=WhxZE98WZkSoT40RnpEruNDVQT6AeRXA3XwGcGZ7JsA,2928
julearn/transformers/target/__init__.py,sha256=KJ9awEY2fBHsytb51m5F3cwaTjFF0bNRB5GoZtjzw5I,516
julearn/transformers/target/available_target_transformers.py,sha256=tp44Ss_uspLZcKcZNOhB943gWF4X2PikkXDZn9MH7IQ,3762
julearn/transformers/target/ju_target_transformer.py,sha256=n4Kz8dZGeBG7qn003hhmNt47X-Sh6tuZwFoRcP87uiI,2082
julearn/transformers/target/ju_transformed_target_model.py,sha256=CjU27mGNyWwf_qIzTCFokG9qe7hlsLjki85DkEatvG8,6763
julearn/transformers/target/target_confound_remover.py,sha256=LYsaiQQxAgyuXYVEjaTq0cFowKCAVahV0M7hBM0seco,3370
julearn/transformers/target/tests/test_available_target_transformers.py,sha256=FZ-1vOZz0eI9lmzB4aV-Qm5yA6eZT6bCbRyr0mh4VME,1931
julearn/transformers/target/tests/test_ju_target_transformer.py,sha256=A9NwrofUbookM9iJ6dDdF8AiWwg-9cJhUKBagkp5Ick,468
julearn/transformers/target/tests/test_ju_transformed_target_model.py,sha256=IJmyzDqQOa_bI7xRwFJ7BVpHsWxs8Mb9cQIO0coFbwc,3108
julearn/transformers/target/tests/test_target_confound_remover.py,sha256=kevb_F7N8Xq6Q1J7hc3qKdoqmBgsk4hcZmEk_XIP1ik,1752
julearn/transformers/tests/test_available_transformers.py,sha256=2X7_hPt0Cf50i4Ni5Xqgo7uoazjNV80V1BRRNKK36yk,2998
julearn/transformers/tests/test_cbpm.py,sha256=zxcYB8mXUx_JuDQTBInMKsTxGevVakbb6D7NFyyX56Q,9804
julearn/transformers/tests/test_confounds.py,sha256=SLNQykez2sXvolCSZ_8yKE6iWIO_yXNxeWq6wcDZW2E,8566
julearn/transformers/tests/test_jucolumntransformers.py,sha256=MUZ3zUyIfDLy1dV7e0pr9FkKAfGo5Be6d_KYJydd9vc,4830
julearn/utils/__init__.py,sha256=7bR9CdhZThSPrlBIGytBtJSRw58NggUi96sT9L1VIjI,295
julearn/utils/_cv.py,sha256=ffVfwdKJ8TUz3TXu9BOdUnfRDAkP_8vWyFC8Mdbvr4w,2299
julearn/utils/checks.py,sha256=dCa2B2F9IGP8GUd6m48pduE0v7qDc5uaU_Qv_f3iG4E,2745
julearn/utils/logging.py,sha256=iA80RPs15gB321wm9B_g989I5P1HLnhXU1ZbP0alwp4,7976
julearn/utils/testing.py,sha256=jtPX9LSWoS8finTo0Jk92XUuaZPEGY3X4kUWTHhgfds,10941
julearn/utils/typing.py,sha256=jtMaL-K-MjWj_j1z2MqK5tYNhJkUagXwznYS5e8XrG0,7670
julearn/utils/versions.py,sha256=VQI1qeyrjcDBYqAO097FEjEAmdRo396jWyb-Fzg7WXQ,1799
julearn/utils/tests/test_logging.py,sha256=zKJAFja8SZMDrHRsTZ2CRwbR9BRCnKJhzhhoP_bF8DU,7434
julearn/utils/tests/test_version.py,sha256=NVbi0bfRReGnbhnlA8CRSGhijFqVXw9_TTT_jZqZ-88,2507
julearn/viz/__init__.py,sha256=eZLTe--Ux6_sIn1g7U6Pk_EK6ulDj4tyDQaFMRHmB3g,153
julearn/viz/_scores.py,sha256=NyCoc9oWkJmBELDhmWj3_-dRrT3S7VNYtXmCsb5W0Jg,14577
julearn/viz/res/julearn_logo_generalization.png,sha256=NT19zkl06suh9OEY_xjckQU35qchMe5GBk1oz_ecr8A,73031
julearn-0.3.2.dev24.dist-info/AUTHORS.rst,sha256=UJxHIlh-B8Lmi645DEFWetevcp0LifYx1GGHunGAThY,218
julearn-0.3.2.dev24.dist-info/LICENSE.md,sha256=MqCnOBu8uXsEOzRZWh9EBVfVz-kE9NkXcLCrtGXo2yU,34354
julearn-0.3.2.dev24.dist-info/METADATA,sha256=JPgwCLAJq7kwsSY4YdVc1IVhhLHE56cn9eARSk0N-Po,4507
julearn-0.3.2.dev24.dist-info/WHEEL,sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ,92
julearn-0.3.2.dev24.dist-info/top_level.txt,sha256=TMl7doW0Hx2LiKa-jMZaKYqh-gSdz8IUi7-ao_jvhbU,8
julearn-0.3.2.dev24.dist-info/RECORD,,
