julearn

View on PyPIReverse Dependencies (1)

0.3.1 julearn-0.3.1-py3-none-any.whl

Wheel Details

Project: julearn
Version: 0.3.1
Filename: julearn-0.3.1-py3-none-any.whl
Download: [link]
Size: 223606
MD5: f94bac72611f9532004fc77e49a48518
SHA256: 6c8ca2fa5ab88aa7afb8b3390ca7a5a7c96e8797e8dda407d3bd8f306cd971b4
Uploaded: 2024-01-23 10:52:57 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: julearn
Version: 0.3.1
Summary: Juelich Machine Learning Library
Author-Email: Fede Raimondo <f.raimondo[at]fz-juelich.de>, Sami Hamdan <s.hamdan[at]fz-juelich.de>
Maintainer-Email: Sami Hamdan <s.hamdan[at]fz-juelich.de>
Project-Url: homepage, https://juaml.github.io/julearn
Project-Url: documentation, https://juaml.github.io/julearn
Project-Url: repository, https://github.com/juaml/julearn
License: AGPL-3.0-only
Keywords: machine-learning
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Natural Language :: English
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8
Requires-Dist: numpy (<1.27,>=1.24)
Requires-Dist: pandas (<2.2,>=1.5.0)
Requires-Dist: scikit-learn (<1.4,>=1.2.0)
Requires-Dist: statsmodels (<0.15,>=0.13)
Requires-Dist: deslib (<0.4,>=0.3.5); extra == "deslib"
Requires-Dist: tox; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: seaborn (<0.13,>=0.12.2); extra == "docs"
Requires-Dist: sphinx (<7.3,>=5.3.0); extra == "docs"
Requires-Dist: sphinx-gallery (<0.15,>=0.13.0); extra == "docs"
Requires-Dist: furo (<2024.0.0,>=2022.9.29); extra == "docs"
Requires-Dist: sphinx-copybutton (<0.6,>=0.5.0); extra == "docs"
Requires-Dist: numpydoc (<1.6,>=1.5.0); extra == "docs"
Requires-Dist: towncrier (<24); extra == "docs"
Requires-Dist: panel (>=1.3.0); extra == "viz"
Requires-Dist: bokeh (>=3.0.0); extra == "viz"
Requires-Dist: param (>=2.0.0); extra == "viz"
Provides-Extra: deslib
Provides-Extra: dev
Provides-Extra: docs
Provides-Extra: viz
Description-Content-Type: text/markdown
License-File: LICENSE.md
License-File: AUTHORS.rst
[Description omitted; length: 2450 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
julearn/__init__.py sha256=BncNrBqPUQmY3Wu7keX6cvbS-sTOezx_eDLgGLYRi7Q 498
julearn/_version.py sha256=HzPz9rq3s1AiZXregKlqKaJJ2wGMtvH_a3V9la9CnpM 411
julearn/api.py sha256=nSc1A7InIXtTK5yLXc2l3FuPB76XK6i3wMl4NIaOr6A 15061
julearn/config.py sha256=wOl3a_ywZkejP-s6XqZkaHTgOGXElg9XiWPm1IFydHY 1041
julearn/conftest.py sha256=ShHtamfnfiChs9hJFWpQlW_fNTxt2Qm7Xa7Dn9YlCJA 5687
julearn/prepare.py sha256=Au7uV8mbiD4thlVNwn0YBwO85FmIyOfweLKjB6Zq2LQ 16333
julearn/base/__init__.py sha256=hMeMIeQqzNE-AJznXXtJummLZc2Vyeegs2M15w8NrAU 431
julearn/base/column_types.py sha256=qByrpCdPOX_gvTLQ4o6cil9rK-8q3KACMIF6aqFhHC4 7278
julearn/base/estimators.py sha256=nIkhxVT2I6htpojayBZwlrcUQ_-F5xveTvovlxSecCY 14240
julearn/base/tests/test_base_estimators.py sha256=qnRTV4wh_iAdsDJvHwjjl3vga1JE7XAAL0LG3SJ4ApY 3031
julearn/base/tests/test_column_types.py sha256=kmYTk_JXqHFQotoWRcccTZJigzrzWffUoydoIpg934w 6981
julearn/inspect/__init__.py sha256=sjy5FhHh5GMc1oulflCv7Mc8weS1Gd5LGa9FMtgQDJM 284
julearn/inspect/_cv.py sha256=jf-0p586MUw5EYb5sB0s3-E7jKFMyY4i2o99plDyNmI 5565
julearn/inspect/_pipeline.py sha256=VdNdiZSdOPcG_WGYyZetKmCTcvn_iX0h7zIhQjH6G3w 2096
julearn/inspect/_preprocess.py sha256=F8fLf3NN7zMPcSOP1LUIY3I3U7JpvlkiLeECs6OwEWQ 1870
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=ypW6N50O4oJ0pQFlxJiM5Ex6IZH1d8RE5nK1RF1PaaI 3287
julearn/model_selection/continuous_stratified_kfold.py sha256=8x1VrXZ10lyzt2WE1GEpw1tkPDOoqdlA3upXr86rWhM 11393
julearn/model_selection/stratified_bootstrap.py sha256=9rppq2Le_Eir0WnUDr6Z_MwXrTKhnSeV0IS3vOKIhh4 5234
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=k5J1Rf94nAEBuDC1HA_5jANrgY7mW5uhqQIRu3r_3lM 1142
julearn/models/__init__.py sha256=IZi16KiWb1FmFMHVp5Q8y6hv2-hnGKQY3uCRc-2-ESY 232
julearn/models/available_models.py sha256=8O3nNwVX_YYGyxN1WkI_XOXwqE3NDkAG4ALsD8S4v2E 7961
julearn/models/dynamic.py sha256=k5BZp5JSZlAZ8yzMq3L8L01_1CobfnUvsg5gryiKz20 6776
julearn/models/tests/test_available_models.py sha256=mcMBPW-yGHeBIvHzQY04Dt7BGZXIcwevUZQgft4yEbw 1854
julearn/models/tests/test_dynamic.py sha256=qT7RTid50Spt-p_QjHgnqaP5ZNC6L6VSB0XRQt97YVg 6632
julearn/models/tests/test_models.py sha256=t-P-WWfzKVjiR7Bg974sr4NYD2rByCZLOKkejVsLLxk 10073
julearn/pipeline/__init__.py sha256=YNz_nn3VnUyfxEiLk7jU5hU6LntIzdLdOI88v_jz6Vk 272
julearn/pipeline/merger.py sha256=VW0F4fUiJuWpH3WuyudcVtvxaqmiZk812UCrvBY1hFw 4759
julearn/pipeline/pipeline_creator.py sha256=0C7YEz9SFzka_D4ApMmmQ7LTDb9F6vc8yXf1p0WfDuo 33037
julearn/pipeline/target_pipeline.py sha256=_ebyvhrUajuNByLwyQ1_fxnYiGB9WFqTkpXOlnF4tII 4825
julearn/pipeline/target_pipeline_creator.py sha256=QTV8gKUIBAC4ynfJYV6thedzhYWpMaAmLPXRxpY9tv4 3146
julearn/pipeline/test/test_merger.py sha256=8VY7Dwc5UMUNWRIN_KWwZY0w9UdMadOZP5x03pyh_L4 3811
julearn/pipeline/test/test_pipeline_creator.py sha256=bsvbl7IhR2dx45c75qFLNB6-zitIxeJCKzLd2vZNFA0 20911
julearn/pipeline/test/test_target_pipeline.py sha256=JaxHiPcL5cruFZ-RkopqGoEYx64_yWUuLqcPuwVas6A 5941
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=G9DEvs_QzyuJUGoQD6RgNRV_lObaQ9JkcEGx0q6PDVk 5826
julearn/scoring/metrics.py sha256=XLG1k8a3gcwzMyzBag5zvDFJWfQGd0IoaUmULbWMbts 1615
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=mq-Dn4-aNQis1xyGkO6QjFPFaEVrA8w0I7-8RhOkS8k 7751
julearn/stats/tests/test_corrected_ttest.py sha256=DnKH15hNeaKzAmGRuNk99nMLVVbEiedKQwnIKfP7zEw 5308
julearn/tests/test_api.py sha256=Mioa0iEPOLxL2Nuct6zhhd2cD37TsnZj-0LN5a6QNlM 36307
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=at9ztHZY1EHzMk7S8A9AlV0j79tL9MYC4bE5ow50Bxk 4665
julearn/transformers/cbpm.py sha256=3RYn3qkfD5GProReeRxm2XvSTlo3NJv7PMZMWHWmlyA 10674
julearn/transformers/confound_remover.py sha256=8z5FW9ai0CsuFDbCTMpzyLa-j4Nq_4Nef8wIgakDvSY 8798
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=zofvx3Pgf39OgMIepF1Cs_lCvQmqgbBgvGHFvf_Vd3I 3888
julearn/transformers/dataframe/drop_columns.py sha256=V0eNjPPoFehJfod188IS0WcXtcuj6CQw2BD_K-BGXa8 3290
julearn/transformers/dataframe/filter_columns.py sha256=vDmsTDSEJxLUJ8mzgtCuNJFBEYZVKArIMX3y0iRg94Q 3393
julearn/transformers/dataframe/set_column_types.py sha256=ArvNf9FHTA_xG5sqGsi172HOs19a3hmPs8tbJm6M6lI 4905
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=gIvN96AYxcu4u-pu70AtHYAmSbQr0oNKTkDxyh0n6XI 2926
julearn/transformers/target/__init__.py sha256=KJ9awEY2fBHsytb51m5F3cwaTjFF0bNRB5GoZtjzw5I 516
julearn/transformers/target/available_target_transformers.py sha256=qma9qv1ET8mQG9ZI_O_ECNs6oK0MmtRCcLJqENn61e0 3759
julearn/transformers/target/ju_target_transformer.py sha256=n4Kz8dZGeBG7qn003hhmNt47X-Sh6tuZwFoRcP87uiI 2082
julearn/transformers/target/ju_transformed_target_model.py sha256=_YN98EWPORWzPeKBdHHBU1E5b13Q8mVYd643LaI0wHM 6759
julearn/transformers/target/target_confound_remover.py sha256=ap7lGw_ACebIhjt2Ee_MQrHEzUf7DzHWi5_xnjs2isc 3367
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=daPfuSm3r7lQNTFncMb5bIywwygsLrI2grY9l9beK3Q 1751
julearn/transformers/tests/test_available_transformers.py sha256=T_gb1YUiUxGM0b8-iKQUfZaxOmsyW5oN7YkW_A5_eg0 2996
julearn/transformers/tests/test_cbpm.py sha256=qi6WJcAkRZNLd_KoFQ-Mzm1YUt4GSyQf50n7_xd27j4 9797
julearn/transformers/tests/test_confounds.py sha256=W66479DkQitZw7zSBcebg2V_M75q1momvvHRaPd2BhA 8561
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=7IUzeEZGazwMwOE0FOGooWnnzs7LUVaVHsOOz6VEAOk 2744
julearn/utils/logging.py sha256=iA80RPs15gB321wm9B_g989I5P1HLnhXU1ZbP0alwp4 7976
julearn/utils/testing.py sha256=VScD3UcL5M4z2TF0Xl1kwVd1_zkknIhOUY1B_G3MlIw 10935
julearn/utils/typing.py sha256=ZXmtog2hmbeHq9vSyXTXId3ZVH6ZZp7Jab4zzzgzg7k 7505
julearn/utils/versions.py sha256=FTNupP9wlgG_yv-H4NvD4qQEGr7FGXwEzX9S2ChhI4w 1797
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=y-aJBpDS2v0Hg9_AKllCNs6xbeKZAxKvrI9oQLbeCX0 14619
julearn/viz/res/julearn_logo_generalization.png sha256=NT19zkl06suh9OEY_xjckQU35qchMe5GBk1oz_ecr8A 73031
julearn-0.3.1.dist-info/AUTHORS.rst sha256=UJxHIlh-B8Lmi645DEFWetevcp0LifYx1GGHunGAThY 218
julearn-0.3.1.dist-info/LICENSE.md sha256=MqCnOBu8uXsEOzRZWh9EBVfVz-kE9NkXcLCrtGXo2yU 34354
julearn-0.3.1.dist-info/METADATA sha256=642u3JCUlqIpjh4FzdH9KMHjIHDovdCvedyZyTFW0Lk 4499
julearn-0.3.1.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
julearn-0.3.1.dist-info/top_level.txt sha256=TMl7doW0Hx2LiKa-jMZaKYqh-gSdz8IUi7-ao_jvhbU 8
julearn-0.3.1.dist-info/RECORD

top_level.txt

julearn