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  • Guide
    • Install
    • Usage
    • Restrictions
    • Examples
    • Motivation
    • How it works
  • Documentation
    • Table of Contents
    • Classes
      • AdaBoostClassifier
      • AdaBoostRegressor
      • AdditiveChi2Sampler
      • AffinityPropagation
      • AgglomerativeClustering
      • ARDRegression
      • BaggingClassifier
      • BaggingRegressor
      • BallTree
      • BayesianGaussianMixture
      • BayesianRidge
      • BernoulliNB
      • BernoulliRBM
      • Binarizer
      • Birch
      • BisectingKMeans
      • Bunch
      • CalibratedClassifierCV
      • CalibrationDisplay
      • CategoricalNB
      • CCA
      • ClassifierChain
      • ColumnTransformer
      • ComplementNB
      • CompoundKernel
      • ConfusionMatrixDisplay
      • ConstantKernel
      • ConvergenceWarning
      • CountVectorizer
      • DataConversionWarning
      • DataDimensionalityWarning
      • DBSCAN
      • DecisionBoundaryDisplay
      • DecisionTreeClassifier
      • DecisionTreeRegressor
      • DetCurveDisplay
      • DictionaryLearning
      • DictVectorizer
      • DistanceMetric
      • DotProduct
      • DummyClassifier
      • DummyRegressor
      • EfficiencyWarning
      • ElasticNet
      • ElasticNetCV
      • EllipticEnvelope
      • EmpiricalCovariance
      • Exponentiation
      • ExpSineSquared
      • ExtraTreeClassifier
      • ExtraTreeRegressor
      • ExtraTreesClassifier
      • ExtraTreesRegressor
      • FactorAnalysis
      • FastICA
      • FeatureAgglomeration
      • FeatureHasher
      • FeatureUnion
      • FitFailedWarning
      • FunctionTransformer
      • GammaRegressor
      • GaussianMixture
      • GaussianNB
      • GaussianProcessClassifier
      • GaussianProcessRegressor
      • GaussianRandomProjection
      • GenericUnivariateSelect
      • GradientBoostingClassifier
      • GradientBoostingRegressor
      • GraphicalLasso
      • GraphicalLassoCV
      • GridSearchCV
      • GroupKFold
      • GroupShuffleSplit
      • HalvingGridSearchCV
      • HalvingRandomSearchCV
      • HashingVectorizer
      • HDBSCAN
      • HistGradientBoostingClassifier
      • HistGradientBoostingRegressor
      • HuberRegressor
      • Hyperparameter
      • InconsistentVersionWarning
      • IncrementalPCA
      • IsolationForest
      • Isomap
      • IsotonicRegression
      • IterativeImputer
      • KBinsDiscretizer
      • KDTree
      • Kernel
      • KernelCenterer
      • KernelDensity
      • KernelPCA
      • KernelRidge
      • KFold
      • KMeans
      • KNeighborsClassifier
      • KNeighborsRegressor
      • KNeighborsTransformer
      • KNNImputer
      • LabelBinarizer
      • LabelEncoder
      • LabelPropagation
      • LabelSpreading
      • Lars
      • LarsCV
      • Lasso
      • LassoCV
      • LassoLars
      • LassoLarsCV
      • LassoLarsIC
      • LatentDirichletAllocation
      • LearningCurveDisplay
      • LeaveOneGroupOut
      • LeaveOneOut
      • LeavePGroupsOut
      • LeavePOut
      • LedoitWolf
      • LinearDiscriminantAnalysis
      • LinearRegression
      • LinearSVC
      • LinearSVR
      • LocallyLinearEmbedding
      • LocalOutlierFactor
      • LogisticRegression
      • LogisticRegressionCV
      • Matern
      • MaxAbsScaler
      • MDS
      • MeanShift
      • MinCovDet
      • MiniBatchDictionaryLearning
      • MiniBatchKMeans
      • MiniBatchNMF
      • MiniBatchSparsePCA
      • MinMaxScaler
      • MissingIndicator
      • MLPClassifier
      • MLPRegressor
      • MultiLabelBinarizer
      • MultinomialNB
      • MultiOutputClassifier
      • MultiOutputRegressor
      • MultiTaskElasticNet
      • MultiTaskElasticNetCV
      • MultiTaskLasso
      • MultiTaskLassoCV
      • NearestCentroid
      • NearestNeighbors
      • NeighborhoodComponentsAnalysis
      • NMF
      • Normalizer
      • NotFittedError
      • NuSVC
      • NuSVR
      • Nystroem
      • OAS
      • OneClassSVM
      • OneHotEncoder
      • OneVsOneClassifier
      • OneVsRestClassifier
      • OPTICS
      • OrdinalEncoder
      • OrthogonalMatchingPursuit
      • OrthogonalMatchingPursuitCV
      • OutputCodeClassifier
      • PairwiseKernel
      • Parallel
      • ParameterGrid
      • ParameterSampler
      • PartialDependenceDisplay
      • PassiveAggressiveClassifier
      • PatchExtractor
      • PCA
      • Perceptron
      • Pipeline
      • PLSCanonical
      • PLSRegression
      • PLSSVD
      • PoissonRegressor
      • PolynomialCountSketch
      • PolynomialFeatures
      • PowerTransformer
      • PrecisionRecallDisplay
      • PredefinedSplit
      • PredictionErrorDisplay
      • Product
      • QuadraticDiscriminantAnalysis
      • QuantileRegressor
      • QuantileTransformer
      • RadiusNeighborsClassifier
      • RadiusNeighborsRegressor
      • RadiusNeighborsTransformer
      • RandomForestClassifier
      • RandomForestRegressor
      • RandomizedSearchCV
      • RandomTreesEmbedding
      • RANSACRegressor
      • RationalQuadratic
      • RBF
      • RBFSampler
      • RegressorChain
      • RepeatedKFold
      • RepeatedStratifiedKFold
      • RFE
      • RFECV
      • Ridge
      • RidgeClassifier
      • RidgeClassifierCV
      • RidgeCV
      • RobustScaler
      • RocCurveDisplay
      • SelectFdr
      • SelectFpr
      • SelectFromModel
      • SelectFwe
      • SelectKBest
      • SelectorMixin
      • SelectPercentile
      • SelfTrainingClassifier
      • SequentialFeatureSelector
      • SGDClassifier
      • SGDOneClassSVM
      • SGDRegressor
      • ShrunkCovariance
      • ShuffleSplit
      • SimpleImputer
      • SkewedChi2Sampler
      • SparseCoder
      • SparsePCA
      • SparseRandomProjection
      • SpectralBiclustering
      • SpectralClustering
      • SpectralCoclustering
      • SpectralEmbedding
      • SplineTransformer
      • StackingClassifier
      • StackingRegressor
      • StandardScaler
      • StratifiedGroupKFold
      • StratifiedKFold
      • StratifiedShuffleSplit
      • Sum
      • SVC
      • SVR
      • TargetEncoder
      • TfidfTransformer
      • TfidfVectorizer
      • TheilSenRegressor
      • TimeSeriesSplit
      • TransformedTargetRegressor
      • TruncatedSVD
      • TSNE
      • TweedieRegressor
      • UndefinedMetricWarning
      • ValidationCurveDisplay
      • VarianceThreshold
      • VotingClassifier
      • VotingRegressor
      • WhiteKernel
    • Functions
      • createPythonBridge
      • validatePythonBridge
    • Types
      • ArrayLike
      • NDArray
      • SparseMatrix
    • Constants
      • SCIKIT_LEARN_VERSION
  • Project
  • Status
  • Credit
  • License
  • Links
  • Contact ↗ (opens in a new tab)
  • Python docs ↗ (opens in a new tab)
  • Home
  • Guide
    • Install
    • Usage
    • Restrictions
    • Examples
    • Motivation
    • How it works
  • Documentation
    • Table of Contents
    • Classes
      • AdaBoostClassifier
      • AdaBoostRegressor
      • AdditiveChi2Sampler
      • AffinityPropagation
      • AgglomerativeClustering
      • ARDRegression
      • BaggingClassifier
      • BaggingRegressor
      • BallTree
      • BayesianGaussianMixture
      • BayesianRidge
      • BernoulliNB
      • BernoulliRBM
      • Binarizer
      • Birch
      • BisectingKMeans
      • Bunch
      • CalibratedClassifierCV
      • CalibrationDisplay
      • CategoricalNB
      • CCA
      • ClassifierChain
      • ColumnTransformer
      • ComplementNB
      • CompoundKernel
      • ConfusionMatrixDisplay
      • ConstantKernel
      • ConvergenceWarning
      • CountVectorizer
      • DataConversionWarning
      • DataDimensionalityWarning
      • DBSCAN
      • DecisionBoundaryDisplay
      • DecisionTreeClassifier
      • DecisionTreeRegressor
      • DetCurveDisplay
      • DictionaryLearning
      • DictVectorizer
      • DistanceMetric
      • DotProduct
      • DummyClassifier
      • DummyRegressor
      • EfficiencyWarning
      • ElasticNet
      • ElasticNetCV
      • EllipticEnvelope
      • EmpiricalCovariance
      • Exponentiation
      • ExpSineSquared
      • ExtraTreeClassifier
      • ExtraTreeRegressor
      • ExtraTreesClassifier
      • ExtraTreesRegressor
      • FactorAnalysis
      • FastICA
      • FeatureAgglomeration
      • FeatureHasher
      • FeatureUnion
      • FitFailedWarning
      • FunctionTransformer
      • GammaRegressor
      • GaussianMixture
      • GaussianNB
      • GaussianProcessClassifier
      • GaussianProcessRegressor
      • GaussianRandomProjection
      • GenericUnivariateSelect
      • GradientBoostingClassifier
      • GradientBoostingRegressor
      • GraphicalLasso
      • GraphicalLassoCV
      • GridSearchCV
      • GroupKFold
      • GroupShuffleSplit
      • HalvingGridSearchCV
      • HalvingRandomSearchCV
      • HashingVectorizer
      • HDBSCAN
      • HistGradientBoostingClassifier
      • HistGradientBoostingRegressor
      • HuberRegressor
      • Hyperparameter
      • InconsistentVersionWarning
      • IncrementalPCA
      • IsolationForest
      • Isomap
      • IsotonicRegression
      • IterativeImputer
      • KBinsDiscretizer
      • KDTree
      • Kernel
      • KernelCenterer
      • KernelDensity
      • KernelPCA
      • KernelRidge
      • KFold
      • KMeans
      • KNeighborsClassifier
      • KNeighborsRegressor
      • KNeighborsTransformer
      • KNNImputer
      • LabelBinarizer
      • LabelEncoder
      • LabelPropagation
      • LabelSpreading
      • Lars
      • LarsCV
      • Lasso
      • LassoCV
      • LassoLars
      • LassoLarsCV
      • LassoLarsIC
      • LatentDirichletAllocation
      • LearningCurveDisplay
      • LeaveOneGroupOut
      • LeaveOneOut
      • LeavePGroupsOut
      • LeavePOut
      • LedoitWolf
      • LinearDiscriminantAnalysis
      • LinearRegression
      • LinearSVC
      • LinearSVR
      • LocallyLinearEmbedding
      • LocalOutlierFactor
      • LogisticRegression
      • LogisticRegressionCV
      • Matern
      • MaxAbsScaler
      • MDS
      • MeanShift
      • MinCovDet
      • MiniBatchDictionaryLearning
      • MiniBatchKMeans
      • MiniBatchNMF
      • MiniBatchSparsePCA
      • MinMaxScaler
      • MissingIndicator
      • MLPClassifier
      • MLPRegressor
      • MultiLabelBinarizer
      • MultinomialNB
      • MultiOutputClassifier
      • MultiOutputRegressor
      • MultiTaskElasticNet
      • MultiTaskElasticNetCV
      • MultiTaskLasso
      • MultiTaskLassoCV
      • NearestCentroid
      • NearestNeighbors
      • NeighborhoodComponentsAnalysis
      • NMF
      • Normalizer
      • NotFittedError
      • NuSVC
      • NuSVR
      • Nystroem
      • OAS
      • OneClassSVM
      • OneHotEncoder
      • OneVsOneClassifier
      • OneVsRestClassifier
      • OPTICS
      • OrdinalEncoder
      • OrthogonalMatchingPursuit
      • OrthogonalMatchingPursuitCV
      • OutputCodeClassifier
      • PairwiseKernel
      • Parallel
      • ParameterGrid
      • ParameterSampler
      • PartialDependenceDisplay
      • PassiveAggressiveClassifier
      • PatchExtractor
      • PCA
      • Perceptron
      • Pipeline
      • PLSCanonical
      • PLSRegression
      • PLSSVD
      • PoissonRegressor
      • PolynomialCountSketch
      • PolynomialFeatures
      • PowerTransformer
      • PrecisionRecallDisplay
      • PredefinedSplit
      • PredictionErrorDisplay
      • Product
      • QuadraticDiscriminantAnalysis
      • QuantileRegressor
      • QuantileTransformer
      • RadiusNeighborsClassifier
      • RadiusNeighborsRegressor
      • RadiusNeighborsTransformer
      • RandomForestClassifier
      • RandomForestRegressor
      • RandomizedSearchCV
      • RandomTreesEmbedding
      • RANSACRegressor
      • RationalQuadratic
      • RBF
      • RBFSampler
      • RegressorChain
      • RepeatedKFold
      • RepeatedStratifiedKFold
      • RFE
      • RFECV
      • Ridge
      • RidgeClassifier
      • RidgeClassifierCV
      • RidgeCV
      • RobustScaler
      • RocCurveDisplay
      • SelectFdr
      • SelectFpr
      • SelectFromModel
      • SelectFwe
      • SelectKBest
      • SelectorMixin
      • SelectPercentile
      • SelfTrainingClassifier
      • SequentialFeatureSelector
      • SGDClassifier
      • SGDOneClassSVM
      • SGDRegressor
      • ShrunkCovariance
      • ShuffleSplit
      • SimpleImputer
      • SkewedChi2Sampler
      • SparseCoder
      • SparsePCA
      • SparseRandomProjection
      • SpectralBiclustering
      • SpectralClustering
      • SpectralCoclustering
      • SpectralEmbedding
      • SplineTransformer
      • StackingClassifier
      • StackingRegressor
      • StandardScaler
      • StratifiedGroupKFold
      • StratifiedKFold
      • StratifiedShuffleSplit
      • Sum
      • SVC
      • SVR
      • TargetEncoder
      • TfidfTransformer
      • TfidfVectorizer
      • TheilSenRegressor
      • TimeSeriesSplit
      • TransformedTargetRegressor
      • TruncatedSVD
      • TSNE
      • TweedieRegressor
      • UndefinedMetricWarning
      • ValidationCurveDisplay
      • VarianceThreshold
      • VotingClassifier
      • VotingRegressor
      • WhiteKernel
    • Functions
      • createPythonBridge
      • validatePythonBridge
    • Types
      • ArrayLike
      • NDArray
      • SparseMatrix
    • Constants
      • SCIKIT_LEARN_VERSION
  • Project
  • Status
  • Credit
  • License
  • Links
  • Python docs ↗ (opens in a new tab)
  • Contact ↗ (opens in a new tab)
  • Contact ↗ (opens in a new tab)
  • Python docs ↗ (opens in a new tab)
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Documentation
Types
NDArray

NDArray

ArrayLike

Defined in: types.ts:16 (opens in a new tab)

ArrayLikeSparseMatrix