Wheelodex » Projects » PySCIPOpt-ML

PySCIPOpt-ML

View on PyPI — Reverse Dependencies (0)

1.1.1 PySCIPOpt_ML-1.1.1-py3-none-any.whl

Wheel Details

Project: PySCIPOpt-ML
Version: 1.1.1
Filename: PySCIPOpt_ML-1.1.1-py3-none-any.whl
Download: [link]
Size: 70284
MD5: 75561b62452594fb2efc8173a90bcd25
SHA256: 464e24aaa72a70a602995715f39c63177cd55eb8b86880fe6066633aa59ab6de
Uploaded: 2024-05-02 10:04:09 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: PySCIPOpt-ML
Version: 1.1.1
Summary: automatically formulate and embed ML models into MIPs with SCIP
Author: Mark Turner - Zuse Institute Berlin
Project-Url: Repository, https://github.com/Opt-Mucca/PySCIPOpt-ML
Project-Url: Documentation, https://pyscipopt-ml.readthedocs.io/en/stable/
Project-Url: Bug Tracker, https://github.com/Opt-Mucca/PySCIPOpt-ML/issues
License: Apache-2.0
Keywords: mixed-integer programming,SCIP,scikit-learn,pytorch,xgboost,lightgbm,keras,ml
Requires-Python: >=3.8
Requires-Dist: numpy
Requires-Dist: pyscipopt (==5.0.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4201 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
pyscipopt_ml/__init__.py sha256=jMdUA8vfbRnWn6vyCg_LHk3yNUgKEmTGMgf2fqFs1fc 686
pyscipopt_ml/_version.py sha256=2y60Qhmvf_2SX4bSLQAe0D9AKYek8ykv0afqLXim2po 557
pyscipopt_ml/add_predictor.py sha256=1W5I6zwhyBVNXu31iMDioAJpxX44bcjYz8yac29q9jA 2715
pyscipopt_ml/exceptions.py sha256=X0FcSU9PXrYMlU2b1Y96IhMLfEdW4HNxlaHRQHTk_XY 855
pyscipopt_ml/registered_predictors.py sha256=Lv64thSjvfNXdolONxsPhTnZBkPlY9zMMlfOeIdvEtE 4913
pyscipopt_ml/keras/__init__.py sha256=eOXll5HSn-G-m6jqTU3BlpXP6Bzca9k14TIHZU2x8Qk 36
pyscipopt_ml/keras/keras.py sha256=B3hGLGB8PTxVF9X8L34KJhIhz9Wyi8ThFrpeQALUGIs 10662
pyscipopt_ml/lightgbm/__init__.py sha256=CbMHeadP_qv_OKnx5uMNesiu3gByF_-zGxc18im3X_4 79
pyscipopt_ml/lightgbm/lgbgetter.py sha256=aOkRxtObqjgy_uLhQqmVICszX7I3CZsTrQKgLr0xKO4 7698
pyscipopt_ml/lightgbm/lightgbm_constr.py sha256=LVFxWfnR1kbp9SIv-cwyYHc5P-DESsaCQpm8TAnSzvY 6352
pyscipopt_ml/modelling/__init__.py sha256=xtUhCAYPXpFw9TIgrQd10-uQnbE_nF1iwR7TkivVMCM 155
pyscipopt_ml/modelling/base_predictor_constraint.py sha256=CBkj7bWejuj82ACP2gIAqfHANWMD2uPL6Q9XZ_-WA5Q 11689
pyscipopt_ml/modelling/get_convertor.py sha256=As1GiOTgYOEAo53NXuBNPQKcfrSX_aUR102AWmEauhU 676
pyscipopt_ml/modelling/var_utils.py sha256=4XVJ3iQp_7CrI7G43hJcmaXuIMS6bEzMtla-GfGeaJM 2415
pyscipopt_ml/modelling/classification/__init__.py sha256=EInuswjeHRCSVHHDnuZ-z8j4CLAf-siAHW8kZXw6VIw 90
pyscipopt_ml/modelling/classification/argmax_model.py sha256=vQfMEpwrwiLYdYtsvmH6YGO1Y06Cg0YW-kx0Rm_Kc3U 7463
pyscipopt_ml/modelling/classification/max_model.py sha256=4b-m0VvKjIrgdut_EBtX1RaH3KaHEODHn_LemcOKPcQ 4271
pyscipopt_ml/modelling/decision_tree/__init__.py sha256=VQuihdr9PEnyU_mkMRi3HEHuOB_h749rdUDta22K5Ns 50
pyscipopt_ml/modelling/decision_tree/decision_tree_model.py sha256=9if0q3eRkjJP50j-OipLNWOVKcMudYyN4tLHV6VKlGY 8489
pyscipopt_ml/modelling/gradient_boosting/__init__.py sha256=Ux1_LXfZhfsGDDk9-zwGoO7ksK-Iv8Atkg9q76lFQc4 209
pyscipopt_ml/modelling/gradient_boosting/aggregate_tree_model.py sha256=Tl0nsyZflIEkJ1wdVQ-sAfHW84LuncUq0Nh1MITjUtQ 13867
pyscipopt_ml/modelling/neuralnet/__init__.py sha256=gEaMLwQiubz4sjfO_ZBJgmOoKlxSK-QT_RE-GwKPXTU 37
pyscipopt_ml/modelling/neuralnet/activations.py sha256=xFocYk_5thy8ARXVBDjhg4n0SkQTO47zbvNm6FJg-Fc 12735
pyscipopt_ml/modelling/neuralnet/layers.py sha256=lOXmLl13-JQcGHqknobuu7u-D-mhRgMrFHyI6P9Peug 5579
pyscipopt_ml/modelling/neuralnet/neural_net.py sha256=cHGraJvhJAqIc1TrfIR71WeUV5tyBdSNzxZuZE-zuQg 3109
pyscipopt_ml/sklearn/__init__.py sha256=cqwP9o57S7kuq8Y_1JwM1xzG9YIs4qDH9P5K7QfcXdA 908
pyscipopt_ml/sklearn/base_regression.py sha256=Jb6gNKslsjuJURsUfS5DaUjSLr5pdjG97_is9HXmRQE 2043
pyscipopt_ml/sklearn/centroid_cluster.py sha256=EUt5zL3_3F126I3TLl8HsUo-IdWIB2bIYIGQY2eDqzU 7727
pyscipopt_ml/sklearn/decision_tree.py sha256=4GCCmIFie3zbMYIm4UczNBONtG_z0WXbeiZaEuQcD94 5830
pyscipopt_ml/sklearn/gradient_boosting.py sha256=LqWzmagRxdCNqiSpMO7s8qY0OMnYxi6fQLDCSqdziko 6551
pyscipopt_ml/sklearn/linear_regression.py sha256=Phfppm8MDAT2wB3w2UdLLDTP6cebwjYA-n2ofkCzAcM 3032
pyscipopt_ml/sklearn/logistic_regression.py sha256=EHB12uRxsp695SfYmxXVoJRedXfAL1LYqKxtS5U75T0 9316
pyscipopt_ml/sklearn/mlp.py sha256=iZEbpGG-ErbdlvGk-2uRH9AwFWpGs5V78mAHWEAoiTA 7202
pyscipopt_ml/sklearn/multi_output.py sha256=uMYu-ifHjC6ILED2l7Pok31W_OUz8a66Al2fdqOuHe8 5525
pyscipopt_ml/sklearn/pipeline.py sha256=8XQ6Hr3bgm_nyMQj2-IVACMda2YEu8lvhM3ygLu44os 5737
pyscipopt_ml/sklearn/pls.py sha256=Y293l1dlC9H2dFA4FflA4z7gyDAvxFayQeUTxATVB_g 3491
pyscipopt_ml/sklearn/preprocessing.py sha256=xdXRHKlObFeeiJbs1jHfdcpyZDacEzLJtVcmv7jQuqs 14481
pyscipopt_ml/sklearn/random_forest.py sha256=7Ghwd6jsaEMTDVkR5EtbssFxtzVaAwMCx6rCSv7kbZQ 6074
pyscipopt_ml/sklearn/skgetter.py sha256=L3BmlT1FW4XcFedxu3bHqlkRC_wLVMsWr6ZghXgVadg 5226
pyscipopt_ml/sklearn/support_vector.py sha256=Gxc2FrzIijl5esykT2OKrhtSqrwPBdvdr94QkUzW_qA 8363
pyscipopt_ml/torch/__init__.py sha256=qr2fM1OS7dq9mw1CYZhLPWVaA_Z1sUri7GmNk4lcqsA 46
pyscipopt_ml/torch/sequential.py sha256=cSa5B84I63kV87wA3nqf9YDcwhfaTqXm3sRiCQ3H3qk 10269
pyscipopt_ml/xgboost/__init__.py sha256=aAZe_iGA7EQSpvE1BxlU2Gbm6rc6_fQ2z0ooaf3ADRI 156
pyscipopt_ml/xgboost/xgbgetter.py sha256=4KOtppUUscjlTClo1hqu5-amYOQ-iWAvLHunwkc9Fqs 6497
pyscipopt_ml/xgboost/xgboost_constr.py sha256=7ZPz3L4v2OT-gwChU6eQBkadOJq5tpAN6j-0-NrGdhM 10202
PySCIPOpt_ML-1.1.1.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
PySCIPOpt_ML-1.1.1.dist-info/METADATA sha256=Htgp6kfnj3qXM5SwREkRKorSP6JWacM2VAnhY58tBKo 4840
PySCIPOpt_ML-1.1.1.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
PySCIPOpt_ML-1.1.1.dist-info/top_level.txt sha256=2SgSPVy9TA44XIf4FVXGu07pit53P0RJDYVb2ZhtbLw 13
PySCIPOpt_ML-1.1.1.dist-info/RECORD — —

top_level.txt

pyscipopt_ml