Wheelodex » Projects » photonai

photonai

View on PyPI — Reverse Dependencies (2)

2.5.0 photonai-2.5.0-py3-none-any.whl

Wheel Details

Project: photonai
Version: 2.5.0
Filename: photonai-2.5.0-py3-none-any.whl
Download: [link]
Size: 164129
MD5: e1054bb6adc98d9d1778079c8e880e2a
SHA256: b97770ac2d991fee11945092ac37fc0156a883b0a2430179e65ba4919e4b1a93
Uploaded: 2024-11-04 14:00:23 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: photonai
Version: 2.5.0
Summary: PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.
Author: PHOTONAI Team
Author-Email: hahnt[at]wwu.de
Home-Page: https://www.photon-ai.com/
Download-Url: https://pypi.org/project/photonai/#files
Project-Url: Source Code, https://github.com/wwu-mmll/photonai/
Project-Url: Documentation, https://wwu-mmll.github.io/photonai/
Project-Url: Bug Tracker, https://github.com/wwu-mmll/photonai/issues
License: GPLv3
Keywords: machine learning,pipeline,research,hyperparameter,hyperparameter optimization
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scikit-learn (==1.5.2)
Requires-Dist: pandas
Requires-Dist: plotly
Requires-Dist: imbalanced-learn (==0.12.4)
Requires-Dist: pymodm
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: prettytable
Requires-Dist: seaborn
Requires-Dist: joblib
Requires-Dist: dask (>=2021.10.0)
Requires-Dist: distributed
Requires-Dist: scikit-optimize
Requires-Dist: xlrd
Requires-Dist: pbr
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS
[Description omitted; length: 5913 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.44.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
photonai/__init__.py sha256=H_91Ec-aeTnNyKlcwo_ZWnDeWpmJiZUlFjr8aQC2lvs 1546
photonai/requirements.txt sha256=k5HD6HizlnBLQy14NN6A957pL3r86Gxx47oRTL0bytA 236
photonai/version.py sha256=jRktjFNh2QTTSqq1kf8uCu8DJ_f9W87fNBFOOPlbImc 167
photonai/base/__init__.py sha256=mZHRUrOOlfUoNJVE4MVTqKNoByS9MDscFJU3MNcjiYo 423
photonai/base/cache_manager.py sha256=QUCS98UaP-urFMait5dhXmcJqczv9Uo-yyHYZbxJqjk 5785
photonai/base/hyperpipe.py sha256=285Rzw2iFc7PgFF28QG75m-5-6J5D2mVSq1HCBcqbsg 79136
photonai/base/json_transformer.py sha256=CRCsm5WuBeBF8pPW31hBCHVsShtvHe7BX8sMvZ0HabY 10912
photonai/base/model_zoo.py sha256=j7wEG8M2AsGPMpa-1_wYcUVaMF3y2DmwJn-9_9zW8Og 43609
photonai/base/naming.py sha256=PJQjXNDyX-p0nIEj5Z9fuFyTX4Jt0zDvoT7L_3quSWI 309
photonai/base/photon_elements.py sha256=5NctW-UKjaUdR4bTJJTSFr4PHjnco0UvI1y9GP_9r5M 68940
photonai/base/photon_pipeline.py sha256=vK_fTCZ4SjCUrjOiud8Xvhr032YykMmr_63CI2tyCWY 24034
photonai/base/registry/PhotonCore.json sha256=9N-zgkuLLIt2A9ljmmMuiRFHUMN8ofymsSbmZaIb1U4 11302
photonai/base/registry/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/base/registry/registry.py sha256=nQUzcT_JiGC2eABRB6BsB1lqA7bEgf5TfsY6MP29NGg 20477
photonai/base/registry/modules/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/helper/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/helper/dummy_elements.py sha256=cn4Wq0tsY-1YZ7Iqoha274pASuwOC3vFJTZckYSU3Tk 2674
photonai/helper/helper.py sha256=sA-ECXvLnqV4w_SjQ32eV78-lvfilb4qsyIBRBereN0 9121
photonai/helper/photon_base_test.py sha256=k_RFu0FXdXmx9fBRfAm2rdq1pTJ5txogCLyVlLkGtIA 2044
photonai/modelwrapper/OrdinalEncoder.py sha256=24Fn39G8ZyO4ZfHTmO0uoVeIAFHDJd4r7k7b_sxXDZ0 1917
photonai/modelwrapper/PhotonMLPClassifier.py sha256=aMGykN0KzJRd_AJIDqEPRGYfsylyiST1pmgYTcQcGRI 3687
photonai/modelwrapper/PhotonOneClassSVM.py sha256=pkvlgK60DDYhtz0wpK3mssxKkL2F8CLD0X-INYsJUTw 1176
photonai/modelwrapper/RangeRestrictor.py sha256=w80TuO0brZpBCjqcW4JRa6UkJ2HeFScleRdDdSRP_vY 521
photonai/modelwrapper/SamplePairing.py sha256=Zdc5_kProOwsTR0_hGkOomVLi7e92L6CkRpcF8EKZzs 11200
photonai/modelwrapper/Voting.py sha256=GGKQU9eGFbRYCrPUTSAg428Q717GztytpsZoyaoGQFU 1608
photonai/modelwrapper/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/modelwrapper/base_model_wrapper.py sha256=JjZppmAkMe2KGhvnLmnaIM28BfafakhDbvq7b9wKPFU 3928
photonai/modelwrapper/confounder_removal.py sha256=Rrf_YpruMqeAfx8fue7y6f0YAry_1OQTNTy6bY8_3_A 4567
photonai/modelwrapper/cpm_feature_selection.py sha256=4l44TvY8KB_xAV785D6hgWQyKc-2OVTtCuxy1AVx1zs 5068
photonai/modelwrapper/feature_selection.py sha256=A0pLAK3yze84eSqWktmHpVKE76rGe0vWfZ40xS23et4 10595
photonai/modelwrapper/imbalanced_data_transformer.py sha256=QzIsUnv-LrvFZUBsKscuLuPfnReZI7_KHHKRaPPd6j8 6938
photonai/modelwrapper/keras_base_estimator.py sha256=sl6kzyIdrKaIIhmFpPmDAUSu-ZhNz1q30RXTSKAUjuA 3813
photonai/modelwrapper/keras_base_models.py sha256=6X79TlhxEu_x00Q-K2OhG2igY5C2VgH1AvahZ0o6oRE 11107
photonai/modelwrapper/keras_dnn_classifier.py sha256=yrV1e7RdF5zsl4AYG6whQFuhB7OEUepb6-txgaZjzG8 6852
photonai/modelwrapper/keras_dnn_regressor.py sha256=dcsmOSDiBlVH3H_-IKgvB6PFgw0sFpVNXhUcoOQRE3s 5852
photonai/modelwrapper/label_encoder.py sha256=KDghQipXmRgCg24tGQvXW5ArCmIuwiKFX97yeocAKBQ 1982
photonai/modelwrapper/source_splitter.py sha256=rv34rMGLGvc-HK5X9eC9WjOt5zTop66gFGhzsTPH884 413
photonai/optimization/__init__.py sha256=13SITVf1gTN29iHc5qYPeTNXj30Dk6AMoX7-jyLDYKA 607
photonai/optimization/base_optimizer.py sha256=gle3yipcBq1vGE8N4bvXDdg7kNWKVQgNJp-MUDOiFh4 2802
photonai/optimization/config_grid.py sha256=D-B2MFa8YM4Enu2FxVFyMFukBAyC-4I3HidBxGu2OE0 3775
photonai/optimization/hyperparameters.py sha256=z_BQeNGdCYZWEa-_JqT1fuqkw_WSNja7aiW78Rt5JP8 14444
photonai/optimization/optimization_info.py sha256=jrhMBGUukTQVBIEvlPJx6vPaxvOyixI0tCtRRxS8yhY 5592
photonai/optimization/performance_constraints.py sha256=OGq_T0HTxMZ9yZgQXCl88TYXMJjPJyKb5l_-Z9uOYp4 12454
photonai/optimization/grid_search/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/optimization/grid_search/grid_search.py sha256=qCKPQO277d9478RLt6ggGtCDUXSH3KkXVQBe7izeI2c 4642
photonai/optimization/nevergrad/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/optimization/nevergrad/nevergrad.py sha256=VcDrz1dmLnwRN0JC6CHMQ3vKQH1XRo8A_w3RFRuaW6E 6819
photonai/optimization/nevergrad/requirements.txt sha256=mbjRkArFcHhrYRABrcFOuT1oZwruhpTaCj_USMQ2s4Q 9
photonai/optimization/random_search/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/optimization/random_search/random_search.py sha256=-5OpdYLy5fyurAHWzZfoaJrszLiiwYtcJjo6bTChIfc 3413
photonai/optimization/scikit_optimize/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/optimization/scikit_optimize/sk_opt.py sha256=uhg3p9p8RVqmdab18VUsZE-ipMqOpQT6XuNg7qLJmsU 9552
photonai/optimization/smac/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/optimization/smac/requirements.txt sha256=0DBby5PceixVSe7dNf3lauJo6H1i3WSnLEfSb9BYpso 95
photonai/optimization/smac/smac.py sha256=KNFi6tL4wKV2bhajZNGs3XHAVtRabPSraRgITeHR6y0 10548
photonai/optimization/switch_optimizer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
photonai/optimization/switch_optimizer/meta_optimizer.py sha256=uGBwJeo2KOmR2MjC_Aa1jaZ8IMMXJxpzvKaf2Qe0-Wk 4428
photonai/photonlogger/__init__.py sha256=Es4t__Ougt4aIMVKMOgjGs9aOXiEJrs5teaNhaMPQwQ 27
photonai/photonlogger/logger.py sha256=q_YMmt-J8E-J4AWjVzcswWrNPvNiiYw0ziK33pBob-4 2260
photonai/processing/__init__.py sha256=EqXfOL3tzzCci_Jgrr72d75qnqvUbVQgazTU0McHr-Y 219
photonai/processing/cross_validation.py sha256=mPml6ox3dpMVSoO8yj4Xapd3vYwSaVDDwLSkoG60Kgo 4188
photonai/processing/inner_folds.py sha256=4Q5LE957BcAgALZm-YMiusePSqufuvadtaeAnrIih64 22431
photonai/processing/metrics.py sha256=lKj8SBJBo9CRQk6hy84zOCoz733n4LjzHiRHUlxWFoI 11615
photonai/processing/outer_folds.py sha256=3HxEyeIR07FaLVVEUZwyJRURMGLiy8tVlIxpju3iRkM 21706
photonai/processing/permutation_test.py sha256=jGdgbFRFhuGDILYzu6Fwh11h2N8m4s_zBsiravNmqt0 18813
photonai/processing/photon_folds.py sha256=1ua3CDyEQuZxNwT8v11pTZkV7yWv2ZueDXTG-eMCXK0 6190
photonai/processing/results_handler.py sha256=Pcs05aoFHgoHOHNdFWevow4WVmr_-ZEmXVmUBpwF3VA 46136
photonai/processing/results_structure.py sha256=3H2WlAAd4v9n9FPGbniPviuqaI_Qzgc9A0VAEe5lGzY 12858
photonai-2.5.0.dist-info/AUTHORS sha256=xTcUWZM19GJajhLINzqg15_t9BljPJcLTTDOIQDPfCA 1409
photonai-2.5.0.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
photonai-2.5.0.dist-info/METADATA sha256=0ZUY7A9e7OTsuZnkSfbAd3rLtTYwxZ8txtQYX4FduTA 7298
photonai-2.5.0.dist-info/WHEEL sha256=eOLhNAGa2EW3wWl_TU484h7q1UNgy0JXjjoqKoxAAQc 92
photonai-2.5.0.dist-info/pbr.json sha256=JOEbabJqWx5gwJdPs-9sgEgOVx-pLNzlrtad_5zHmyo 47
photonai-2.5.0.dist-info/top_level.txt sha256=IWY7QR-MaBXuS4vHbDx-rrTQ7YWUjlgx3k7hypOd_YM 9
photonai-2.5.0.dist-info/RECORD — —

top_level.txt

photonai