npmjs.org : sklearn

Use Python's #1 machine learning library from Node.js

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purl: pkg:npm/sklearn
Keywords: scikit , learn , sklearn , machine learning , ml , ai , SelectorMixin , CalibratedClassifierCV , AffinityPropagation , AgglomerativeClustering , Birch , DBSCAN , FeatureAgglomeration , KMeans , BisectingKMeans , MiniBatchKMeans , MeanShift , OPTICS , SpectralClustering , SpectralBiclustering , SpectralCoclustering , ColumnTransformer , TransformedTargetRegressor , EmpiricalCovariance , EllipticEnvelope , GraphicalLasso , GraphicalLassoCV , LedoitWolf , MinCovDet , OAS , ShrunkCovariance , CCA , PLSCanonical , PLSRegression , PLSSVD , DictionaryLearning , FactorAnalysis , FastICA , IncrementalPCA , KernelPCA , LatentDirichletAllocation , MiniBatchDictionaryLearning , MiniBatchSparsePCA , NMF , MiniBatchNMF , PCA , SparsePCA , SparseCoder , TruncatedSVD , LinearDiscriminantAnalysis , QuadraticDiscriminantAnalysis , DummyClassifier , DummyRegressor , AdaBoostClassifier , AdaBoostRegressor , BaggingClassifier , BaggingRegressor , ExtraTreesClassifier , ExtraTreesRegressor , GradientBoostingClassifier , GradientBoostingRegressor , IsolationForest , RandomForestClassifier , RandomForestRegressor , RandomTreesEmbedding , StackingClassifier , StackingRegressor , VotingClassifier , VotingRegressor , HistGradientBoostingRegressor , HistGradientBoostingClassifier , ConvergenceWarning , DataConversionWarning , DataDimensionalityWarning , EfficiencyWarning , FitFailedWarning , NotFittedError , UndefinedMetricWarning , DictVectorizer , FeatureHasher , PatchExtractor , CountVectorizer , HashingVectorizer , TfidfTransformer , TfidfVectorizer , GenericUnivariateSelect , SelectPercentile , SelectKBest , SelectFpr , SelectFdr , SelectFromModel , SelectFwe , SequentialFeatureSelector , RFE , RFECV , VarianceThreshold , GaussianProcessClassifier , GaussianProcessRegressor , CompoundKernel , ConstantKernel , DotProduct , ExpSineSquared , Exponentiation , Hyperparameter , Kernel , Matern , PairwiseKernel , Product , RBF , RationalQuadratic , Sum , WhiteKernel , SimpleImputer , IterativeImputer , MissingIndicator , KNNImputer , DecisionBoundaryDisplay , PartialDependenceDisplay , IsotonicRegression , AdditiveChi2Sampler , Nystroem , PolynomialCountSketch , RBFSampler , SkewedChi2Sampler , KernelRidge , LogisticRegression , LogisticRegressionCV , PassiveAggressiveClassifier , Perceptron , RidgeClassifier , RidgeClassifierCV , SGDClassifier , SGDOneClassSVM , LinearRegression , Ridge , RidgeCV , SGDRegressor , ElasticNet , ElasticNetCV , Lars , LarsCV , Lasso , LassoCV , LassoLars , LassoLarsCV , LassoLarsIC , OrthogonalMatchingPursuit , OrthogonalMatchingPursuitCV , ARDRegression , BayesianRidge , MultiTaskElasticNet , MultiTaskElasticNetCV , MultiTaskLasso , MultiTaskLassoCV , HuberRegressor , QuantileRegressor , RANSACRegressor , TheilSenRegressor , PoissonRegressor , TweedieRegressor , GammaRegressor , Isomap , LocallyLinearEmbedding , MDS , SpectralEmbedding , TSNE , DistanceMetric , ConfusionMatrixDisplay , DetCurveDisplay , PrecisionRecallDisplay , PredictionErrorDisplay , RocCurveDisplay , CalibrationDisplay , BayesianGaussianMixture , GaussianMixture , GroupKFold , GroupShuffleSplit , KFold , LeaveOneGroupOut , LeavePGroupsOut , LeaveOneOut , LeavePOut , PredefinedSplit , RepeatedKFold , RepeatedStratifiedKFold , ShuffleSplit , StratifiedKFold , StratifiedShuffleSplit , StratifiedGroupKFold , TimeSeriesSplit , GridSearchCV , HalvingGridSearchCV , ParameterGrid , ParameterSampler , RandomizedSearchCV , HalvingRandomSearchCV , LearningCurveDisplay , OneVsRestClassifier , OneVsOneClassifier , OutputCodeClassifier , ClassifierChain , MultiOutputRegressor , MultiOutputClassifier , RegressorChain , BernoulliNB , CategoricalNB , ComplementNB , GaussianNB , MultinomialNB , BallTree , KDTree , KernelDensity , KNeighborsClassifier , KNeighborsRegressor , KNeighborsTransformer , LocalOutlierFactor , RadiusNeighborsClassifier , RadiusNeighborsRegressor , RadiusNeighborsTransformer , NearestCentroid , NearestNeighbors , NeighborhoodComponentsAnalysis , BernoulliRBM , MLPClassifier , MLPRegressor , FeatureUnion , Pipeline , Binarizer , FunctionTransformer , KBinsDiscretizer , KernelCenterer , LabelBinarizer , LabelEncoder , MultiLabelBinarizer , MaxAbsScaler , MinMaxScaler , Normalizer , OneHotEncoder , OrdinalEncoder , PolynomialFeatures , PowerTransformer , QuantileTransformer , RobustScaler , SplineTransformer , StandardScaler , GaussianRandomProjection , SparseRandomProjection , LabelPropagation , LabelSpreading , SelfTrainingClassifier , LinearSVC , LinearSVR , NuSVC , NuSVR , OneClassSVM , SVC , SVR , DecisionTreeClassifier , DecisionTreeRegressor , ExtraTreeClassifier , ExtraTreeRegressor , Bunch , Parallel , machine-learning , scikit-learn , sklearn-library
License: MIT
Latest release: 12 months ago
First release: over 2 years ago
Dependent repositories: 3
Downloads: 1,340 last month
Stars: 176 on GitHub
Forks: 4 on GitHub
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/transitive-bullshit
Last synced: about 1 month ago

• Readme
• Versions 8
• Dependent Packages 0
• Maintainers 1