snapml
View on PyPI — Reverse Dependencies (1)
Wheel Details
| Project: | snapml |
| Version: | 1.15.6 |
| Filename: | snapml-1.15.6-cp310-cp310-manylinux_2_28_s390x.whl |
| Download: | [link] |
| Size: | 2893252 |
| MD5: | 2fd476de5fca9f1619a9119ff370ebe7 |
| SHA256: | 86e112ca81a53c295a049c34a90333de05d867f6dd8de7265c777e8b3821feb7 |
| Uploaded: | 2024-04-23 21:27:26 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
| Wheel-Version: | 1.0 |
| Generator: | bdist_wheel (0.40.0) |
| Root-Is-Purelib: | false |
| Tag: | cp310-cp310-manylinux_2_28_s390x |
RECORD
| Path | Digest | Size |
|---|---|---|
| snapml/BatchedTreeEnsemble.py | sha256=GP3eYxEpk2MByJgDSRSaUtXtXEUXlJM9eE2xnHw49EA | 29648 |
| snapml/BoostingMachine.py | sha256=Oh3ydnAw4WULTaWZ9X8zpt0sxDIReVGrJybKVtPWjSU | 37360 |
| snapml/BoostingMachineClassifier.py | sha256=g7YPbf_qNPXMFfv9irFUvkBF-Uw3rOzVMQWWzFMyqUw | 9777 |
| snapml/BoostingMachineCommon.py | sha256=lPRha2f5A1DD_S5n0bJ52w-d_cbTk2WY7mXgqBhmGus | 7872 |
| snapml/BoostingMachineRegressor.py | sha256=ioF1xO5s1Og3rYwePz6uIZwziMYE5qCAuzlOs4pekXo | 8566 |
| snapml/CommonModel.py | sha256=ZgL6QrZiR41D6iYa6IiQcvqK8_xfHnBQawv-GY9r9DU | 8588 |
| snapml/DecisionTree.py | sha256=1Ag8oLKA46mvEoiyaTU9IwMLfZhmzXUIfKrSd6_UYUU | 3264 |
| snapml/DecisionTreeClassifier.py | sha256=IMsZF85nH3LG_CIVJ1r6GDkNWkFBC1f0wzlirmnbp2s | 10125 |
| snapml/DecisionTreeRegressor.py | sha256=Akw2SnEpj3BvBv-SM7SLWRmuT7uF4YuTy7-9h_P_JWI | 6711 |
| snapml/GeneralizedLinearModel.py | sha256=2gdRTnNNChlnXI_XYX6UtrHQ5XBRM86QXsBYjjAhOoU | 18417 |
| snapml/GeneralizedLinearModelClassifier.py | sha256=3okJ2RI2RLJLZKwFeez-S_Zy5p6YHZfPN8s4P8rSbnk | 3242 |
| snapml/GeneralizedLinearModelRegressor.py | sha256=ESeqqh-Lxl-a9YOsuUDi-sF2n2CqJnVRn7K5O4G7-GQ | 1071 |
| snapml/GraphFeaturePreprocessor.py | sha256=XgKfebu0AovX9Mgy7Kc2UQpvm4mEDP0Vi8SH4nTbx3E | 17700 |
| snapml/LinearRegression.py | sha256=Sc6gtkKVvj7e7G_526X8pBA_IGnFPD20IHfNzS6AyHI | 11232 |
| snapml/Loaders.py | sha256=jQ-MS2GM15foAU73pzk47ZxnUT5nMG9Orxf9TaxHwfI | 3168 |
| snapml/LogisticRegression.py | sha256=oB6TJzUBJhNOkpqKC8GYqtYK2rlI8QVDoKEEDzNZjtk | 15204 |
| snapml/MPI.py | sha256=eyuy03smBXU7ObxHEn0M2PYP8NpG7SW084nKzHCoG8w | 848 |
| snapml/Model.py | sha256=kUhKiMaGHjr8gucgFyS0zMVDI1EwvYvIcges2j-KULc | 770 |
| snapml/MultiOutputCalibratedClassifier.py | sha256=cfHU3So8LSsXM4p_slyt-MJSUDXjHzhNXOV7hYqIfNk | 7999 |
| snapml/Partition.py | sha256=z1gik_5VBwO0Ii3YStpJeW58Q42E31mY7UebZaL0Vso | 1553 |
| snapml/RBFSampler.py | sha256=sg9etAXP7y6X8uNIAWK1QWn3T5ZlsatRPyJ7xnE0pjA | 5263 |
| snapml/RandomForest.py | sha256=_CgMnh8CC7OCKwIQk4addCyspAJ88sJPRCtnK4gBLbQ | 11858 |
| snapml/RandomForestClassifier.py | sha256=hWqpVVSCx-s0_iC0cY0ua1xA-CNuLhbNhjosTLkZuCQ | 10612 |
| snapml/RandomForestRegressor.py | sha256=EWwnyqcTZfITT50xuXjYbA0_dSG87SIlTjVY3DZMUFk | 7697 |
| snapml/SupportVectorMachine.py | sha256=ZSMkRbHlS4XOFWCsPK5AX-h1sI1vuIGYGf3QKEE4TVk | 12547 |
| snapml/Writers.py | sha256=BoFeQ7RCaPJQFR4v8NggcIrxnGifZcqVaQJtRLdAtYo | 1263 |
| snapml/__init__.py | sha256=DsL-UHV0VLnFxgcJAQUIE7QWRHj5SsTzJoF5Y29xcpY | 2978 |
| snapml/_gpu_utils.py | sha256=4rLKU-skFz-yD-7JOUmgfXEfEBScD-nxH-Gr6ugnzS8 | 1163 |
| snapml/_import.py | sha256=FrC9cImB3jC9JP2PHDhebRLyFtCUS4FXXOTZaEP52Tg | 1469 |
| snapml/_predict_utils.py | sha256=m6GgaYgKSGrUXRB4DK2Qt3rShmLQa4T_Wdu0vNGdQs4 | 3936 |
| snapml/io.py | sha256=lkT7RJ-leDHG0w17DKWaotJc6ygZzDsPt_0Itg1VVMU | 4815 |
| snapml/libsnapmlcore.so | sha256=3C-FPfh-mj4AzkO8_7-0FEYtW_qQUI4Arjy_jK-zSpo | 2277744 |
| snapml/libsnapmllocal3.so | sha256=THOgKj0Qeh0gqE0rX9QWnff0rvgY2c9zlsisTB-HKik | 3850664 |
| snapml/libsnapmlutils.so | sha256=yP5Ae2JcZZ5uN1UanaK_oT0ODL_VaZel_CtyRLzT1M8 | 14184 |
| snapml/libzdnninternal.so | sha256=s6LqTc3B-HJ1N6uTc_wm7_l6H9Qd3aC0Jk1aiIzH-h0 | 128696 |
| snapml/metrics.py | sha256=gAjG33PJoJEi_H4yYzeAfrHqRPsUvwSli1UC79DsvqA | 6689 |
| snapml/model_io.py | sha256=87bDOAFYPwrkxGW1_m-ZKJuV52SeSqjc366M8Z9mito | 6019 |
| snapml/pipeline_io.py | sha256=g6tClTqPAGjz7k81HWOiKJQKt0Hv7fbuSsyygBbIB7s | 7064 |
| snapml/utils.py | sha256=rLN-3MhT5jYAhyV2_K5cB-YR_ueszgdXnepV4ikfuSw | 11799 |
| snapml/version.py | sha256=v9H1VVnpeLkJqTd57XzL-9P37YfdXzVIZaxac-6QfUo | 391 |
| snapml/include/AnyDataset.hpp | sha256=AxMnDt1e_ANpvQmARVfeWNGG4Lzh7WXC91gMNq2OM44 | 718 |
| snapml/include/BoosterBuilder.hpp | sha256=WxxR54Y-Q2xp99YT6TLDCd8NdKg_HvH8PymzIyxVr2w | 1454 |
| snapml/include/BoosterModel.hpp | sha256=yknd8UgjfClW3mqTgwwpxZjK3deuKoY82aG9YgDyUP8 | 1590 |
| snapml/include/BoosterParams.hpp | sha256=y3e77NIDmu1DcRZ7osdio-4BjWC_N3A_fUA5NxLz580 | 2927 |
| snapml/include/BoosterPredictor.hpp | sha256=X7c2DRJPjbKgy8o0A6XudlYNkWPB7dA4wKj0GtZpVn8 | 1121 |
| snapml/include/DataSchema.hpp | sha256=P5R2d_kEmm20_VK3QoyqQJnw5Vx_9LeUs-OzkLNO0qc | 1262 |
| snapml/include/DecisionTreeBuilder.hpp | sha256=BewlIo2cv08Ec7CFMsH73UlkU2BXlPIlJlln2Z29Po8 | 1325 |
| snapml/include/DecisionTreeModel.hpp | sha256=fxL_6bv-x5Mbk0VGtTzIoM7zOrmOJVhOv_7xrBWQ09M | 803 |
| snapml/include/DecisionTreeParams.hpp | sha256=TZ3dMg9Qd7Av-c1Ivbeti_6LQsRGCcstRs2dmbRnLYQ | 2412 |
| snapml/include/DecisionTreePredictor.hpp | sha256=eV4GtlkxhQs4FFo8Hpjlj1TcPeCMDBCa0SHaKAPJJos | 1099 |
| snapml/include/DenseDataset.hpp | sha256=HaS0Wt4CqqACEc7K2bH104bc-04ObOniuXfLdPYGvVs | 1115 |
| snapml/include/FunctionTransformer.hpp | sha256=qeE2DCqdCksdQmch5D5zJH0xw9X-RYnfZmWrNwxBgVc | 1020 |
| snapml/include/GenericTreeEnsembleModel.hpp | sha256=dYU-yGRG7hbXUzHlTgfnx-F0TYCkc0v7VenrppRwEQs | 2527 |
| snapml/include/GenericTreeEnsemblePredictor.hpp | sha256=nan8pBXesOW-zui6-0-_8R3GJqeK04jDPZeJBGNQQso | 1035 |
| snapml/include/KBinsDiscretizer.hpp | sha256=xUd-qOfSf7lg1QOCaectXAuq9mei3yCe8Zorjt4oqF4 | 1065 |
| snapml/include/Normalizer.hpp | sha256=I-0pJCpPrwDUd5TXI12OFwAa6x-e9FtKePzydCwC90k | 857 |
| snapml/include/OneHotEncoder.hpp | sha256=CaKSgcDmS5iRSm_ml0O2mTwAciVb8Q9n5x9uKdCRW-E | 1076 |
| snapml/include/Pipeline.hpp | sha256=vVqg2L0mjq0SfPpeqQAavRgJxfYnUB-ypvyTmtsQ3Ws | 1304 |
| snapml/include/RandomForestBuilder.hpp | sha256=qy0ysN16LJwnoTT8a6dmUxKKO1G6haN5WHcg-ugSEQI | 1331 |
| snapml/include/RandomForestModel.hpp | sha256=iNVZW8X3EicdQvma2B4YnG0o98dum6hbY1x6_3Mw3W0 | 1533 |
| snapml/include/RandomForestParams.hpp | sha256=KEWwmQpaduiGq3x2cTI1RtWAkeWDQqG2NNNIKRyMhYs | 1863 |
| snapml/include/RandomForestPredictor.hpp | sha256=z7-8ZZOkjQZdmhO2curh6MrRGXfAM3uRLduFTQyoILc | 998 |
| snapml/include/Transformer.hpp | sha256=wC7ho1MEMXWQgnBCnLzFOKyU9n-AuhZpSODduouRN6g | 658 |
| snapml/include/TreeTypes.hpp | sha256=J0CONvAKzrDKN7cZgpFkgbUgrJCAjiw9GzrS5ywLml4 | 741 |
| snapml-1.15.6.dist-info/LICENSE.pdf | sha256=Tq14hiBQMSTSSIl656nodjs2ZVkPbFmHIuZj5p_sMX4 | 226992 |
| snapml-1.15.6.dist-info/METADATA | sha256=j5d1k0US2z4JT4MW5JVvScbeFGeWUtqGtRvSTXJ28qo | 1732 |
| snapml-1.15.6.dist-info/WHEEL | sha256=MSHB_ro5dVhEDGbOe2g0gBGLVprqXpwQz7b3jqroxpo | 113 |
| snapml-1.15.6.dist-info/top_level.txt | sha256=kSOrBupZeBK-X3RPjK0XmGdxfsLqY5BvrxlLTqcGkro | 7 |
| snapml-1.15.6.dist-info/RECORD | — | — |
top_level.txt
snapml