snapml
View on PyPI — Reverse Dependencies (1)
Wheel Details
| Project: | snapml |
| Version: | 1.15.6 |
| Filename: | snapml-1.15.6-cp39-cp39-win_amd64.whl |
| Download: | [link] |
| Size: | 1186407 |
| MD5: | aee1af77641a7025e86b94e9f819852c |
| SHA256: | 72ec079399630c032ae9b2d5cf0112c1ddfb5e0ee44ac554487496487efdcdfe |
| Uploaded: | 2024-04-23 21:41:43 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
| Wheel-Version: | 1.0 |
| Generator: | bdist_wheel (0.41.2) |
| Root-Is-Purelib: | false |
| Tag: | cp39-cp39-win_amd64 |
RECORD
| Path | Digest | Size |
|---|---|---|
| snapml/BatchedTreeEnsemble.py | sha256=QJ6tTGOOR9VRidbkU1hS9dOwHxeaq2FczB9WgObCNaU | 30681 |
| snapml/BoostingMachine.py | sha256=tZENbJh8Vw34lC2IZ3JW3DdYnmJMwt6nnmSJ8OSxXEs | 38396 |
| snapml/BoostingMachineClassifier.py | sha256=GWcyF6mT5LyEs-H3vYPysya-AvRWeL1g7hzuylJfUO8 | 10094 |
| snapml/BoostingMachineCommon.py | sha256=T8Yl9U4t5Qtffs7XbptVWKb92Oz3lMNx0GRuC_hebk0 | 8074 |
| snapml/BoostingMachineRegressor.py | sha256=1wtQuE2kpU92Bg8FdC-k2R-9r0WJHMCL0Uf3g6jgpz0 | 8856 |
| snapml/CommonModel.py | sha256=AOKlAgKRocs2d4YoBTW9Sxa3GEILXl3iiCAv0YSwQnM | 8882 |
| snapml/DecisionTree.py | sha256=WHf7nQk8-lCzkCyyEDTH89shwf3vab5XZssAmX_UkXw | 3394 |
| snapml/DecisionTreeClassifier.py | sha256=0uzXUPKvGObATchQ-T95DuLwzl9noqFoDams0NGS9Dk | 10409 |
| snapml/DecisionTreeRegressor.py | sha256=2SjWxNmZQKLpbQbk4XQ8cEmD1osIkwiYFDdos4_ofFY | 6893 |
| snapml/GeneralizedLinearModel.py | sha256=nathDn1haljs8_voiLbW7Y8z_PbU9VhikJ2iPB9n_2Y | 18997 |
| snapml/GeneralizedLinearModelClassifier.py | sha256=e3VE4Un6fSNOmGjyhrN_7KGjUlkJJQ3dFqekBFiWMdI | 3344 |
| snapml/GeneralizedLinearModelRegressor.py | sha256=yqlYEjDRYhtMkfFhryPCO3wOlj8itcZV7Cp4bbQfoFk | 1109 |
| snapml/GraphFeaturePreprocessor.py | sha256=Yp467vhRSuEai1brxT5_Y6eCqUqIMaxIiWq0Zp4jEg8 | 18162 |
| snapml/LinearRegression.py | sha256=8pvacfi9Qc8vToPDtYhipTvlqefYIxCmZT2imIcVwU4 | 11542 |
| snapml/Loaders.py | sha256=dw52lhy2DlpQhRWYZIuLmQwaIZu_wUos_T40ViSMzD8 | 3275 |
| snapml/LogisticRegression.py | sha256=6QK-aLRFs35ISq61U0XR_1y0iGf_gyzHb4Lz4zOy9Z0 | 15618 |
| snapml/MPI.py | sha256=1gldxsCJuUs-3rYl537CN7GmeVGvkRw6vW0OKxQkTEM | 880 |
| snapml/Model.py | sha256=JnKOAgh351eKyWNueJvBINBHIXXYYwmsxv--2dfeeK8 | 800 |
| snapml/MultiOutputCalibratedClassifier.py | sha256=8-XKYXYGMwUmZ_lC2-_WJ56-qku-_bOzLJ3dKWcFOhk | 8217 |
| snapml/Partition.py | sha256=mgs3_umPXm1qVdQG1oVNpimmN2XDwtz7uz1V1AO6Yuk | 1612 |
| snapml/RBFSampler.py | sha256=mkTKlp9z1BXhJ8cBP3chg8zhMuWDAivTaGmDe1Y_88I | 5440 |
| snapml/RandomForest.py | sha256=ephGjc2Vxeee7MWH2kEYdHGAK5RbGHHd9vIoNaXwAeE | 12221 |
| snapml/RandomForestClassifier.py | sha256=ctsKy3rG4-cyMPLTIWa93BDt6qrHULJR7hEuhEKkH4M | 10905 |
| snapml/RandomForestRegressor.py | sha256=Ru-26Q0dD9EVaGzAaQx6FF5agM1QbqJX7lGGzpDG6A0 | 7905 |
| snapml/SupportVectorMachine.py | sha256=Liq1GJR3Yx1pyE1CifNE0dOzw4hDdEa8o6MpCdtV7x0 | 12899 |
| snapml/Writers.py | sha256=gKaayXBDDZWyeKNu-t-V2U7b7Y6i-3E51pxEJNSsoKE | 1314 |
| snapml/__init__.py | sha256=4roeDHJAsjRiL4NzCstR-PPKfjyCuQMMovaLGVStMmc | 3079 |
| snapml/_gpu_utils.py | sha256=nVZjHt8pvDSHD_FBR-gpKmqEsYCaTxgkg-nIl_lmr2U | 1208 |
| snapml/_import.py | sha256=IChLqutRTBLHpAGNmfhm-HEYcw9hEl7VcR_wcTd9Nkw | 1517 |
| snapml/_predict_utils.py | sha256=Fqnyfa1RMcVdRErHHaWkxOYjsezfF-Dn2goHx0Qa9s0 | 4063 |
| snapml/io.py | sha256=0QnoR24eqQdSX2xu24DvSyvYBSiVe2xjNo70DS1MXBk | 4992 |
| snapml/libsnapmlcore.pyd | sha256=FvISivyTjIfg7VbLM0eHLqE8Q4U_x5b1BQKRpkPZXLA | 22016 |
| snapml/libsnapmlcore_avx2.pyd | sha256=gM-4N5k9PGYjTMId8TSIevfwYU6rIYWmDvFgC8O9ogQ | 47616 |
| snapml/libsnapmllocal3.pyd | sha256=M4j9L4DlVYItTmr20QMTKYK3GvriKc6eXI_WMnM_cN4 | 1083904 |
| snapml/libsnapmllocal3_avx2.pyd | sha256=Lf1iFhNvTK-U-Msy7QUTyVQ-E6ZyeO83doMui3IrUNs | 1214976 |
| snapml/libsnapmlutils.pyd | sha256=LyAh2DzghL0FwDB4_7TdyA4THLosPnB4oOtfs2fE8gA | 16896 |
| snapml/libsnapmlutils_avx2.pyd | sha256=vkz_I6qAnEIvygRz2EnVQsRoedsA4LDZJOcVfms2DN0 | 17408 |
| snapml/metrics.py | sha256=42jMc3cXb6cTg66RxlPqr5oPylcjBGaEbDe89AfNaFw | 6895 |
| snapml/model_io.py | sha256=L8akVRFHxQQ_G2WXJf0HLLSZYani3yK9nwVJaEmH-Mo | 6184 |
| snapml/pipeline_io.py | sha256=9cb695Jn00bSnxGi8RKgIeSY4f3B84UGMj-N_rySOR0 | 7237 |
| snapml/utils.py | sha256=eH_04ttBwSK1zculAWGmKjBll-MI7rvDGyfY8MhFgP0 | 12162 |
| snapml/version.py | sha256=w_G9fIK7MwA9Vwo5Gzwi3OCg8YcJapFAqZS21HNLsx4 | 403 |
| snapml/include/AnyDataset.hpp | sha256=KxyIjYCE12JXEl2WvKsn6JE8VzM-ylWgjD_vbRcxvus | 744 |
| snapml/include/BoosterBuilder.hpp | sha256=_bbYYByB3zDktE5iLdeToBYYUMn7IGUsOGKCVgY2Jas | 1501 |
| snapml/include/BoosterModel.hpp | sha256=1ENSK3fAe2v0_aWLinY3zAFOG_GocWq6eBCu02R_h0w | 1644 |
| snapml/include/BoosterParams.hpp | sha256=VFSL5TUTwFptRzg9IKnVQqMUd9hK3y9LjzHA3vmr6CI | 2978 |
| snapml/include/BoosterPredictor.hpp | sha256=p_9xAyqp00jOaF2yxrgrYv9dY5kiiLvveUXC4plA2fc | 1160 |
| snapml/include/DataSchema.hpp | sha256=zAqfOYkJUNYCKtS4aE6yN8zDXInPmHgEJFRVqfK05ro | 1299 |
| snapml/include/DecisionTreeBuilder.hpp | sha256=5F3GQd6bfazH_77ExC9pZABrd-GWnChnoVyHAJSIIlU | 1369 |
| snapml/include/DecisionTreeModel.hpp | sha256=WnE6Ysabpt8IUZ-IV-C6Yp9K-kO6i46SDBIfeZZk_hM | 840 |
| snapml/include/DecisionTreeParams.hpp | sha256=R129Q4KdrYpBMWkPpvTbvNXiHy6UBM_C8DO92fVE6Xw | 2455 |
| snapml/include/DecisionTreePredictor.hpp | sha256=tdsyYoyCIae0AmsVIzSmnvH7Ear9k7eKqkcHgeH9dr4 | 1136 |
| snapml/include/DenseDataset.hpp | sha256=c7O-LDFU45DlMDWeyejay7DlaCsHuJzmOHfL3fiNY0c | 1155 |
| snapml/include/FunctionTransformer.hpp | sha256=zldOR8Ry-UwoebwJNr3TwiiuhwUdu6rUBnDWl6coCMI | 1053 |
| snapml/include/GenericTreeEnsembleModel.hpp | sha256=Zv57pRi0A3NHKUHn52DPLE0g28Tc2jojSSgTstO3HBY | 2601 |
| snapml/include/GenericTreeEnsemblePredictor.hpp | sha256=qF8OoA1HzJI3a9y08KIhi3_ovLayvSN3ijnjFHrBqk8 | 1069 |
| snapml/include/KBinsDiscretizer.hpp | sha256=ZShT6DiId1Ek4yH7Tok5kqpbdlg0VoIpcc1eufChW_c | 1103 |
| snapml/include/Normalizer.hpp | sha256=znrxmtwIbfLJsTxvoXXpwlSMZ0fGVcnMpd-YqhaHFVI | 891 |
| snapml/include/OneHotEncoder.hpp | sha256=8jIRtLvWpX4n683QZpOPoZCYdZRoqd2_90PzC1xOHMQ | 1113 |
| snapml/include/Pipeline.hpp | sha256=PQS63CtPTy39yUpCDkQXVyzVV1zeFoGaxBHaHudxxVU | 1338 |
| snapml/include/RandomForestBuilder.hpp | sha256=V-qDajMBDJkOAJWjtn7ZbZPW001IN7hgWR8YVkPWcSg | 1375 |
| snapml/include/RandomForestModel.hpp | sha256=rYL23L78tKdUGrwCnaHS_e6gau_sNe332ehaeyg7SUo | 1584 |
| snapml/include/RandomForestParams.hpp | sha256=-5xSuLnszd_vV-y7fZDbOKoEKgf_AWCfU6sZSD6ODV8 | 1903 |
| snapml/include/RandomForestPredictor.hpp | sha256=csjzRkpAr-SjVgOXKVfGsk-hILso-PDAdR6oMqwQWMo | 1034 |
| snapml/include/Transformer.hpp | sha256=8bqX9bBA4XZa2RTeu84CBctxY9EJxChKRJajz0RGvKU | 679 |
| snapml/include/TreeTypes.hpp | sha256=1D6MqmmSHuUoO18PqIvcwsrIakNngv0FbkKVg88tctc | 772 |
| snapml-1.15.6.dist-info/LICENSE.pdf | sha256=Tq14hiBQMSTSSIl656nodjs2ZVkPbFmHIuZj5p_sMX4 | 226992 |
| snapml-1.15.6.dist-info/METADATA | sha256=ja9y138TjQcWIcGnC6yvFKVxD6YqlW4HKk6aOSAkvhw | 1770 |
| snapml-1.15.6.dist-info/WHEEL | sha256=2xSj8c4s_gFbWpcImYQptdXS3JLuzC2uK5Om8I_SEKg | 100 |
| snapml-1.15.6.dist-info/top_level.txt | sha256=kSOrBupZeBK-X3RPjK0XmGdxfsLqY5BvrxlLTqcGkro | 7 |
| snapml-1.15.6.dist-info/RECORD | — | — |
top_level.txt
snapml