d3m-sklearn-wrap
View on PyPI — Reverse Dependencies (0)
| 2022.2.8 | d3m_sklearn_wrap-2022.2.8-py3-none-any.whl |
Wheel Details
| Project: | d3m-sklearn-wrap |
| Version: | 2022.2.8 |
| Filename: | d3m_sklearn_wrap-2022.2.8-py3-none-any.whl |
| Download: | [link] |
| Size: | 375983 |
| MD5: | 7f4626d96046f7218a84024952da36da |
| SHA256: | 900cc2f058888c49df84b46182cccccf717462fb9684acc3a27755409755a72a |
| Uploaded: | 2022-02-08 17:37:53 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt
METADATA
WHEEL
| Wheel-Version: | 1.0 |
| Generator: | bdist_wheel (0.34.2) |
| Root-Is-Purelib: | true |
| Tag: | py3-none-any |
RECORD
| Path | Digest | Size |
|---|---|---|
| sklearn_wrap/SKARDRegression.py | sha256=q7V6kg73bh6JMQq6TP4Pm-RKf0DTzcVYWAgjWTR-sHE | 23563 |
| sklearn_wrap/SKAdaBoostClassifier.py | sha256=_OJ8-Jw-PgVMYPEvHgKtIYxvUw3SQAzG3TSr9eaVEE8 | 25058 |
| sklearn_wrap/SKAdaBoostRegressor.py | sha256=890fDSpMyTNvPM77B08WD3q21RvlqVfXyufLc72wC_I | 21937 |
| sklearn_wrap/SKBaggingClassifier.py | sha256=vgWMkU6lP8JY0M6lrGprnTEyvFctkSpcnGwHR0X9SkQ | 28971 |
| sklearn_wrap/SKBaggingRegressor.py | sha256=EwPgoI090xojHnOX-DZrQtslA-q3ootnOfxr20dL1BQ | 26432 |
| sklearn_wrap/SKBernoulliNB.py | sha256=rJdalHGvdjjGwyqLe60ZKdqhLU_oUijWUjUubG9qRgM | 25022 |
| sklearn_wrap/SKBinarizer.py | sha256=nztHT8O2OaUNTWftgjshSAb3f-IcfOS-spI-sQy-u9c | 15732 |
| sklearn_wrap/SKCountVectorizer.py | sha256=V1JFtEv335NmduIOOwU4q2fF8Hctn50t1Q2ccb7H1cY | 24125 |
| sklearn_wrap/SKDecisionTreeClassifier.py | sha256=Kjl74FSeeC9hfFV6KFtkGijND5rqhhyxe8I4cxDCgGM | 33298 |
| sklearn_wrap/SKDecisionTreeRegressor.py | sha256=xHEDHZzN-NAMPbs6hB6_9aDGtSaH8j3EG4bsJQ_NkiQ | 29914 |
| sklearn_wrap/SKDummyClassifier.py | sha256=VTLgLIYv6zWBbvLdo-_ZEUcpC3_5Shz6I6J0LQ2hIOo | 25013 |
| sklearn_wrap/SKDummyRegressor.py | sha256=TXxVPdM0CjJoGbXk2bXadbpPqYei5TUrj1piSp6YUCE | 21598 |
| sklearn_wrap/SKElasticNet.py | sha256=WrKaqj5cWQK9jXD9Wzy8gxKN4TSIGp4_2Ml1LnsIyq4 | 23825 |
| sklearn_wrap/SKExtraTreesClassifier.py | sha256=qMXjQGxtah923pOsoNtShvosyUigej3wgCmVVuCG_pA | 37133 |
| sklearn_wrap/SKExtraTreesRegressor.py | sha256=K0OuWv2I5jvv7SJlkspzYi_hpGCLyxok_HA2bW9Vb_w | 33498 |
| sklearn_wrap/SKFastICA.py | sha256=7TQsY1F4p8pKaizW5Nd1G3ycg09gTlrMFhnUgIXGKXw | 20935 |
| sklearn_wrap/SKFeatureAgglomeration.py | sha256=AWgQdANBi-NgqQJ3NC_MdkXjSts9xdjuihgdgJEnpaM | 17550 |
| sklearn_wrap/SKGaussianNB.py | sha256=KLJ8QUDQZ47V87czBX31YeI6xKotx4d6F4WJHLD71zI | 23792 |
| sklearn_wrap/SKGaussianProcessRegressor.py | sha256=GYE53WU6r28poyNxuHSdjElL5vhn1k9likRNm1rZ5-E | 24831 |
| sklearn_wrap/SKGaussianRandomProjection.py | sha256=1CQkDOwM4V_R4-TtiMv1p-IuiuQucsokC1BzmeYshXU | 16612 |
| sklearn_wrap/SKGenericUnivariateSelect.py | sha256=babAaeRHNvdDe8f2F3kqO01rE83VJdC7DhFJ3oZicXk | 22328 |
| sklearn_wrap/SKGradientBoostingClassifier.py | sha256=LlzgSQLO_2im46-ejSFwjnGVx-4hz-zBUqBk6iduleU | 37964 |
| sklearn_wrap/SKGradientBoostingRegressor.py | sha256=6IgGAtawojWBazC5h5vm8zsJ_rpyzz7y4PrsVGnTVCA | 36504 |
| sklearn_wrap/SKImputer.py | sha256=j4B-fYROx1vJjZrAaFhf1lZPJ9m_Yz_2AG1ecb3EIWo | 20598 |
| sklearn_wrap/SKKNeighborsClassifier.py | sha256=PfilOWPljl1TDFTdV1mfWlNuCqvGYB7F-LeU-13cIOM | 25758 |
| sklearn_wrap/SKKNeighborsRegressor.py | sha256=kCZz78qAA4TsXa338kdqZ_GZmlL_PrWOIyt8F1KYo1Q | 24656 |
| sklearn_wrap/SKKernelPCA.py | sha256=nhZVEZjyfKqVbwV3omOPAqaItjV6frMoxmoIYP3h8AM | 26277 |
| sklearn_wrap/SKKernelRidge.py | sha256=so-Nk3q-RWfK3L6CL1OR3Y8ZzThPGJFR_Y37obee2A0 | 25151 |
| sklearn_wrap/SKLars.py | sha256=11bjm9-c-lxuSFuKbL74aBFzcz8CtO21Vk-T--G_3hQ | 23062 |
| sklearn_wrap/SKLasso.py | sha256=lLJMvccdKXvvUEW3DeaWt3lkO6hp5s9LggeiAN7RKLE | 24004 |
| sklearn_wrap/SKLassoCV.py | sha256=jBk9lAVkJlUY68jbNpufwJV5oiCe4Ao9UTGS6dIo0pA | 26175 |
| sklearn_wrap/SKLinearDiscriminantAnalysis.py | sha256=v4Haet6l9DuyFzvoTLNQf65RgtlxX_yY7LbGDyx20Q8 | 26228 |
| sklearn_wrap/SKLinearRegression.py | sha256=b7wQueqQdDDO7vgsjY-CATA3hhgXuwOXuI9rFeXos3M | 21535 |
| sklearn_wrap/SKLinearSVC.py | sha256=YRDHDHPL7npRs9o2Lkp3h6H6M_A-Q1PNCm9UHG8vODw | 24884 |
| sklearn_wrap/SKLinearSVR.py | sha256=Rkie2lKkPdk7vJuq0EJLzUDVJOimY2cdOHO9gl-8lsc | 22514 |
| sklearn_wrap/SKLogisticRegression.py | sha256=PvegVlb8Eu_a3PJzaFX3dx8d1B0CM6m4FpLf9y8V5S0 | 30531 |
| sklearn_wrap/SKMLPClassifier.py | sha256=il_-kzG41KMdThypYABDJNH0-x-x5ceFrDbNAkCdVAI | 39308 |
| sklearn_wrap/SKMLPRegressor.py | sha256=vI2NUfVjDS_sY-InclmLyYUDzWrHaEKx_MgwHl9A4Mc | 36394 |
| sklearn_wrap/SKMaxAbsScaler.py | sha256=UQhXO31riKLnvtsOs5jJCOtepyOWyrbhfr7QjQoBlOE | 16048 |
| sklearn_wrap/SKMinMaxScaler.py | sha256=uBWnrBT_uy7yIBEI_0L50rGQgp8wRHN364UsoxMdsvA | 17167 |
| sklearn_wrap/SKMissingIndicator.py | sha256=kUTyVbonGher1a8VmDchRN77axd7p2ahgBdW664VdKo | 18615 |
| sklearn_wrap/SKMultinomialNB.py | sha256=fz2C_9asnlL0KnoQiXtGzcQq6GbFuE1sh5us8WolhTM | 24161 |
| sklearn_wrap/SKNearestCentroid.py | sha256=cLaAY3oIkJ_lqYr_yM43yD_ZOnl6MtRR-re1au-K-_c | 20434 |
| sklearn_wrap/SKNormalizer.py | sha256=q4IFoWgKDek9XXqgf2Dlg3r1M_2TWNPgVPb-l10wmzc | 15638 |
| sklearn_wrap/SKNystroem.py | sha256=pIbf_rFp__ftenDexC8dvqh1N-k3KD0nQw8I7ywzVCc | 25669 |
| sklearn_wrap/SKOneHotEncoder.py | sha256=vEQHYsxFvL5UJA6iOtXLq-LEM0jMD55JGqxbqHRNQ2w | 20305 |
| sklearn_wrap/SKOrdinalEncoder.py | sha256=OJr5aBWAgSWnztgMFXKimy_C1dGLa8lf7ka4yRBWdII | 16693 |
| sklearn_wrap/SKPCA.py | sha256=ASy1kQZJygWpzVpyV3MPswtRwI1w9m27aaJHKwEnloU | 23795 |
| sklearn_wrap/SKPassiveAggressiveClassifier.py | sha256=AQkYgYDPA80mTyJW56uxLBfGJNS8UjzWGoVxid415nM | 31859 |
| sklearn_wrap/SKPassiveAggressiveRegressor.py | sha256=ggq5Sezq85zpBAK7TEetbbLkCZGyf7p7g99afpnScfE | 28372 |
| sklearn_wrap/SKPolynomialFeatures.py | sha256=yLgunQlie2KRFekN5WvKdpzFc2f1EcwR2a7LCSxVaUw | 17163 |
| sklearn_wrap/SKQuadraticDiscriminantAnalysis.py | sha256=pBz3rLbPwNl2YYKA0Dbc8xq1jgfq6ZmJfInYdUD1bpM | 23032 |
| sklearn_wrap/SKQuantileTransformer.py | sha256=m1lI6mtp79ZxT_OwuFB2YVPM2Xu59H1dLVC5xsmXycs | 17742 |
| sklearn_wrap/SKRBFSampler.py | sha256=qdXAUFBBYJl62aeMhrsaNlHOob5s8pTEufwc48DD4gI | 16641 |
| sklearn_wrap/SKRandomForestClassifier.py | sha256=LXVZNzBRa42Cpau0zD0JArmg4-H0-dmrXykdv3IJoTY | 37424 |
| sklearn_wrap/SKRandomForestRegressor.py | sha256=1LTC-9KjtLkmbVoYa-cLpi6IkPxR8nXykAfSrd1VoZA | 33317 |
| sklearn_wrap/SKRandomTreesEmbedding.py | sha256=x7oVtCAo9DD5b5lPhZj5us3gJOH7tD-yCIfK9nQR7ag | 23821 |
| sklearn_wrap/SKRidge.py | sha256=HOmOND4fLOwl_b9_PKgKgktHGCgDJsWKBtAUG9jWdtc | 23733 |
| sklearn_wrap/SKRobustScaler.py | sha256=E1QVLGHrMpuaogVMr0CRbrNFWyRJLP1igrgz_vUHChU | 17077 |
| sklearn_wrap/SKSGDClassifier.py | sha256=QJNmd17Lvbbw_h1kBQ4aQDXZJDGs03NV6pLo3EZyBpI | 34388 |
| sklearn_wrap/SKSGDRegressor.py | sha256=kVie-jmpKC5xrZ3BRMrwCRg_yyC_YeX2YPyDZNJ0K4w | 32152 |
| sklearn_wrap/SKSVC.py | sha256=YobQOF_SjqPZIYAOAhL2TONzX1Q0lwET9uK4d0N5MtE | 31490 |
| sklearn_wrap/SKSVR.py | sha256=8_KnnFj6KD9zo8gTvU1_c7k28-rp60B7By22ABB1gpA | 29606 |
| sklearn_wrap/SKSelectFwe.py | sha256=zcnhsZopbqRutBdIf-PeJUeS4aIDB4h6knMl_l_ONpA | 21503 |
| sklearn_wrap/SKSelectPercentile.py | sha256=U5YvTj7tqrNeRwkCXsN2nCNAXT4aT0zFjS_9TFP5v40 | 21605 |
| sklearn_wrap/SKSparseRandomProjection.py | sha256=Fb54T4YVcru1wy8EyOfmnNKSJHYKG0pR_c0Dxfr5auM | 18528 |
| sklearn_wrap/SKStandardScaler.py | sha256=34n6pVa1234ouNlx18CxTirRIUVYIp9QMsIj-EvsJY4 | 17091 |
| sklearn_wrap/SKStringImputer.py | sha256=PovQtyLgs67wJLt8QJu4qSbh9Mu_s55s0nykVqGHADM | 19720 |
| sklearn_wrap/SKTfidfVectorizer.py | sha256=fe2m19QpmHegwmhclwEoQz01KSLZu5z7AxKVqcw63t4 | 26112 |
| sklearn_wrap/SKTruncatedSVD.py | sha256=tkmpkkcsb0svyy1NgdbAmFnOrDXdTJgPGcY2kh2WuLc | 17553 |
| sklearn_wrap/SKVarianceThreshold.py | sha256=og2nCMTiLNUTzOQYpOODahDL3Foxoau0YyeebhBtatE | 20953 |
| sklearn_wrap/__init__.py | sha256=sCltGztx4sKxSILAEOBcj5LLpkxDzyswQDqfWSF_VDM | 59 |
| d3m_sklearn_wrap-2022.2.8.dist-info/METADATA | sha256=ELgw1l4dU9507mDNAwgGdYTPjQsmpZHMLlfoSG0sqL8 | 333 |
| d3m_sklearn_wrap-2022.2.8.dist-info/WHEEL | sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY | 92 |
| d3m_sklearn_wrap-2022.2.8.dist-info/entry_points.txt | sha256=xF9_FfMHtWo1KekVa_1fHQTyVejVbPDfHkXlrHtj5NE | 6210 |
| d3m_sklearn_wrap-2022.2.8.dist-info/top_level.txt | sha256=Vt0KvBjOpbHi-pspegJqgpSUv2245dh0gZgtj2gh41o | 13 |
| d3m_sklearn_wrap-2022.2.8.dist-info/RECORD | — | — |
top_level.txt
sklearn_wrap
entry_points.txt
classification.ada_boost.SKlearn = sklearn_wrap.SKAdaBoostClassifier:SKAdaBoostClassifier
classification.bagging.SKlearn = sklearn_wrap.SKBaggingClassifier:SKBaggingClassifier
classification.bernoulli_naive_bayes.SKlearn = sklearn_wrap.SKBernoulliNB:SKBernoulliNB
classification.decision_tree.SKlearn = sklearn_wrap.SKDecisionTreeClassifier:SKDecisionTreeClassifier
classification.dummy.SKlearn = sklearn_wrap.SKDummyClassifier:SKDummyClassifier
classification.extra_trees.SKlearn = sklearn_wrap.SKExtraTreesClassifier:SKExtraTreesClassifier
classification.gaussian_naive_bayes.SKlearn = sklearn_wrap.SKGaussianNB:SKGaussianNB
classification.gradient_boosting.SKlearn = sklearn_wrap.SKGradientBoostingClassifier:SKGradientBoostingClassifier
classification.k_neighbors.SKlearn = sklearn_wrap.SKKNeighborsClassifier:SKKNeighborsClassifier
classification.linear_discriminant_analysis.SKlearn = sklearn_wrap.SKLinearDiscriminantAnalysis:SKLinearDiscriminantAnalysis
classification.linear_svc.SKlearn = sklearn_wrap.SKLinearSVC:SKLinearSVC
classification.logistic_regression.SKlearn = sklearn_wrap.SKLogisticRegression:SKLogisticRegression
classification.mlp.SKlearn = sklearn_wrap.SKMLPClassifier:SKMLPClassifier
classification.multinomial_naive_bayes.SKlearn = sklearn_wrap.SKMultinomialNB:SKMultinomialNB
classification.nearest_centroid.SKlearn = sklearn_wrap.SKNearestCentroid:SKNearestCentroid
classification.passive_aggressive.SKlearn = sklearn_wrap.SKPassiveAggressiveClassifier:SKPassiveAggressiveClassifier
classification.quadratic_discriminant_analysis.SKlearn = sklearn_wrap.SKQuadraticDiscriminantAnalysis:SKQuadraticDiscriminantAnalysis
classification.random_forest.SKlearn = sklearn_wrap.SKRandomForestClassifier:SKRandomForestClassifier
classification.sgd.SKlearn = sklearn_wrap.SKSGDClassifier:SKSGDClassifier
classification.svc.SKlearn = sklearn_wrap.SKSVC:SKSVC
data_cleaning.binarizer.SKlearn = sklearn_wrap.SKBinarizer:SKBinarizer
data_cleaning.imputer.SKlearn = sklearn_wrap.SKImputer:SKImputer
data_cleaning.max_abs_scaler.SKlearn = sklearn_wrap.SKMaxAbsScaler:SKMaxAbsScaler
data_cleaning.min_max_scaler.SKlearn = sklearn_wrap.SKMinMaxScaler:SKMinMaxScaler
data_cleaning.missing_indicator.SKlearn = sklearn_wrap.SKMissingIndicator:SKMissingIndicator
data_cleaning.normalizer.SKlearn = sklearn_wrap.SKNormalizer:SKNormalizer
data_cleaning.quantile_transformer.SKlearn = sklearn_wrap.SKQuantileTransformer:SKQuantileTransformer
data_cleaning.robust_scaler.SKlearn = sklearn_wrap.SKRobustScaler:SKRobustScaler
data_cleaning.standard_scaler.SKlearn = sklearn_wrap.SKStandardScaler:SKStandardScaler
data_cleaning.string_imputer.SKlearn = sklearn_wrap.SKStringImputer:SKStringImputer
data_transformation.fast_ica.SKlearn = sklearn_wrap.SKFastICA:SKFastICA
data_transformation.gaussian_random_projection.SKlearn = sklearn_wrap.SKGaussianRandomProjection:SKGaussianRandomProjection
data_transformation.nystroem.SKlearn = sklearn_wrap.SKNystroem:SKNystroem
data_transformation.one_hot_encoder.SKlearn = sklearn_wrap.SKOneHotEncoder:SKOneHotEncoder
data_transformation.ordinal_encoder.SKlearn = sklearn_wrap.SKOrdinalEncoder:SKOrdinalEncoder
data_transformation.polynomial_features.SKlearn = sklearn_wrap.SKPolynomialFeatures:SKPolynomialFeatures
data_transformation.random_trees_embedding.SKlearn = sklearn_wrap.SKRandomTreesEmbedding:SKRandomTreesEmbedding
data_transformation.rbf_sampler.SKlearn = sklearn_wrap.SKRBFSampler:SKRBFSampler
data_transformation.sparse_random_projection.SKlearn = sklearn_wrap.SKSparseRandomProjection:SKSparseRandomProjection
feature_extraction.count_vectorizer.SKlearn = sklearn_wrap.SKCountVectorizer:SKCountVectorizer
feature_extraction.feature_agglomeration.SKlearn = sklearn_wrap.SKFeatureAgglomeration:SKFeatureAgglomeration
feature_extraction.kernel_pca.SKlearn = sklearn_wrap.SKKernelPCA:SKKernelPCA
feature_extraction.pca.SKlearn = sklearn_wrap.SKPCA:SKPCA
feature_extraction.tfidf_vectorizer.SKlearn = sklearn_wrap.SKTfidfVectorizer:SKTfidfVectorizer
feature_extraction.truncated_svd.SKlearn = sklearn_wrap.SKTruncatedSVD:SKTruncatedSVD
feature_selection.generic_univariate_select.SKlearn = sklearn_wrap.SKGenericUnivariateSelect:SKGenericUnivariateSelect
feature_selection.select_fwe.SKlearn = sklearn_wrap.SKSelectFwe:SKSelectFwe
feature_selection.select_percentile.SKlearn = sklearn_wrap.SKSelectPercentile:SKSelectPercentile
feature_selection.variance_threshold.SKlearn = sklearn_wrap.SKVarianceThreshold:SKVarianceThreshold
regression.ada_boost.SKlearn = sklearn_wrap.SKAdaBoostRegressor:SKAdaBoostRegressor
regression.ard.SKlearn = sklearn_wrap.SKARDRegression:SKARDRegression
regression.bagging.SKlearn = sklearn_wrap.SKBaggingRegressor:SKBaggingRegressor
regression.decision_tree.SKlearn = sklearn_wrap.SKDecisionTreeRegressor:SKDecisionTreeRegressor
regression.dummy.SKlearn = sklearn_wrap.SKDummyRegressor:SKDummyRegressor
regression.elastic_net.SKlearn = sklearn_wrap.SKElasticNet:SKElasticNet
regression.extra_trees.SKlearn = sklearn_wrap.SKExtraTreesRegressor:SKExtraTreesRegressor
regression.gaussian_process.SKlearn = sklearn_wrap.SKGaussianProcessRegressor:SKGaussianProcessRegressor
regression.gradient_boosting.SKlearn = sklearn_wrap.SKGradientBoostingRegressor:SKGradientBoostingRegressor
regression.k_neighbors.SKlearn = sklearn_wrap.SKKNeighborsRegressor:SKKNeighborsRegressor
regression.kernel_ridge.SKlearn = sklearn_wrap.SKKernelRidge:SKKernelRidge
regression.lars.SKlearn = sklearn_wrap.SKLars:SKLars
regression.lasso.SKlearn = sklearn_wrap.SKLasso:SKLasso
regression.lasso_cv.SKlearn = sklearn_wrap.SKLassoCV:SKLassoCV
regression.linear.SKlearn = sklearn_wrap.SKLinearRegression:SKLinearRegression
regression.linear_svr.SKlearn = sklearn_wrap.SKLinearSVR:SKLinearSVR
regression.mlp.SKlearn = sklearn_wrap.SKMLPRegressor:SKMLPRegressor
regression.passive_aggressive.SKlearn = sklearn_wrap.SKPassiveAggressiveRegressor:SKPassiveAggressiveRegressor
regression.random_forest.SKlearn = sklearn_wrap.SKRandomForestRegressor:SKRandomForestRegressor
regression.ridge.SKlearn = sklearn_wrap.SKRidge:SKRidge
regression.sgd.SKlearn = sklearn_wrap.SKSGDRegressor:SKSGDRegressor
regression.svr.SKlearn = sklearn_wrap.SKSVR:SKSVR