Uses of Class
sklearn.Estimator

Packages that use Estimator

Package	Description
sklearn
sklearn.cluster
sklearn.compose
sklearn.discriminant_analysis
sklearn.dummy
sklearn.ensemble
sklearn.ensemble.bagging
sklearn.ensemble.forest
sklearn.ensemble.gradient_boosting
sklearn.ensemble.hist_gradient_boosting
sklearn.ensemble.iforest
sklearn.ensemble.stacking
sklearn.ensemble.weight_boosting
sklearn.ensemble.voting
sklearn.feature_selection
sklearn.isotonic
sklearn.linear_model
sklearn.linear_model.glm
sklearn.linear_model.logistic
sklearn.linear_model.ridge
sklearn.linear_model.stochastic_gradient
sklearn.model_selection
sklearn.multiclass
sklearn.naive_bayes
sklearn.neighbors
sklearn.neural_network
sklearn.pipeline
sklearn.svm
sklearn.tree
sklearn2pmml
sklearn2pmml.ensemble
sklearn2pmml.ruleset

Uses of Estimator in sklearn

Classes in sklearn with type parameters of type Estimator

Modifier and Type	Interface	Description
interface	HasEstimator<E extends Estimator>
interface	HasEstimatorEnsemble<E extends Estimator>

Subclasses of Estimator in sklearn

Modifier and Type	Class	Description
class	Classifier
class	Clusterer
class	LabelEncoderClassifier
class	Regressor

Methods in sklearn that return Estimator

Modifier and Type	Method	Description
abstract Estimator	Composite.getFinalEstimator()
Estimator	Estimator.setPMMLFeatureImportances(List<? extends Number> pmmlFeatureImportances)
Estimator	Estimator.setPMMLOptions(Map<String,?> pmmlOptions)

Methods in sklearn with parameters of type Estimator

Modifier and Type	Method	Description
static List<?>	EstimatorUtil.getClasses(Estimator estimator)

Uses of Estimator in sklearn.cluster

Subclasses of Estimator in sklearn.cluster

Modifier and Type	Class	Description
class	KMeans
class	MiniBatchKMeans

Uses of Estimator in sklearn.compose

Subclasses of Estimator in sklearn.compose

Modifier and Type	Class	Description
class	TransformedTargetRegressor

Uses of Estimator in sklearn.discriminant_analysis

Subclasses of Estimator in sklearn.discriminant_analysis

Modifier and Type	Class	Description
class	LinearDiscriminantAnalysis

Uses of Estimator in sklearn.dummy

Subclasses of Estimator in sklearn.dummy

Modifier and Type	Class	Description
class	DummyClassifier
class	DummyRegressor

Uses of Estimator in sklearn.ensemble

Subclasses of Estimator in sklearn.ensemble

Modifier and Type	Class	Description
class	EnsembleClassifier
class	EnsembleRegressor

Uses of Estimator in sklearn.ensemble.bagging

Subclasses of Estimator in sklearn.ensemble.bagging

Modifier and Type	Class	Description
class	BaggingClassifier
class	BaggingRegressor

Methods in sklearn.ensemble.bagging with type parameters of type Estimator

Modifier and Type	Method	Description
static <E extends Estimator> org.dmg.pmml.mining.MiningModel	BaggingUtil.encodeBagging(List<E> estimators, List<List<Integer>> estimatorsFeatures, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)

Uses of Estimator in sklearn.ensemble.forest

Subclasses of Estimator in sklearn.ensemble.forest

Modifier and Type	Class	Description
class	ForestClassifier
class	ForestRegressor

Methods in sklearn.ensemble.forest with type parameters of type Estimator

Modifier and Type	Method	Description
static <E extends Estimator & HasEstimatorEnsemble<T> & HasTreeOptions, T extends Estimator & HasTree> org.dmg.pmml.mining.MiningModel	ForestUtil.encodeBaseForest(E estimator, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasEstimatorEnsemble<T> & HasTreeOptions, T extends Estimator & HasTree> org.dmg.pmml.mining.MiningModel	ForestUtil.encodeBaseForest(E estimator, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasEstimatorEnsemble<T>, T extends Estimator & HasTree> int	ForestUtil.getNumberOfEstimators(E estimator)
static <E extends Estimator & HasEstimatorEnsemble<T>, T extends Estimator & HasTree> int	ForestUtil.getNumberOfEstimators(E estimator)

Uses of Estimator in sklearn.ensemble.gradient_boosting

Subclasses of Estimator in sklearn.ensemble.gradient_boosting

Modifier and Type	Class	Description
class	GradientBoostingClassifier
class	GradientBoostingRegressor

Methods in sklearn.ensemble.gradient_boosting with type parameters of type Estimator

Modifier and Type	Method	Description
static <E extends Estimator & HasEstimatorEnsemble<TreeRegressor> & HasTreeOptions> org.dmg.pmml.mining.MiningModel	GradientBoostingUtil.encodeGradientBoosting(E estimator, Number initialPrediction, Number learningRate, org.jpmml.converter.Schema schema)

Uses of Estimator in sklearn.ensemble.hist_gradient_boosting

Subclasses of Estimator in sklearn.ensemble.hist_gradient_boosting

Modifier and Type	Class	Description
class	HistGradientBoostingClassifier
class	HistGradientBoostingRegressor

Uses of Estimator in sklearn.ensemble.iforest

Subclasses of Estimator in sklearn.ensemble.iforest

Modifier and Type	Class	Description
class	IsolationForest

Uses of Estimator in sklearn.ensemble.stacking

Subclasses of Estimator in sklearn.ensemble.stacking

Modifier and Type	Class	Description
class	StackingClassifier
class	StackingRegressor

Methods in sklearn.ensemble.stacking with type parameters of type Estimator

Modifier and Type	Method	Description
static <E extends Estimator> org.dmg.pmml.mining.MiningModel	StackingUtil.encodeStacking(List<? extends E> estimators, List<String> stackMethods, StackingUtil.PredictFunction predictFunction, E finalEstimator, boolean passthrough, org.jpmml.converter.Schema schema)

Uses of Estimator in sklearn.ensemble.weight_boosting

Subclasses of Estimator in sklearn.ensemble.weight_boosting

Modifier and Type	Class	Description
class	AdaBoostRegressor

Uses of Estimator in sklearn.ensemble.voting

Subclasses of Estimator in sklearn.ensemble.voting

Modifier and Type	Class	Description
class	VotingClassifier
class	VotingRegressor

Uses of Estimator in sklearn.feature_selection

Methods in sklearn.feature_selection that return Estimator

Modifier and Type	Method	Description
Estimator	SelectFromModel.getEstimator()

Uses of Estimator in sklearn.isotonic

Subclasses of Estimator in sklearn.isotonic

Modifier and Type	Class	Description
class	IsotonicRegression

Uses of Estimator in sklearn.linear_model

Subclasses of Estimator in sklearn.linear_model

Modifier and Type	Class	Description
class	LinearClassifier
class	LinearRegressor

Uses of Estimator in sklearn.linear_model.glm

Subclasses of Estimator in sklearn.linear_model.glm

Modifier and Type	Class	Description
class	GeneralizedLinearRegressor

Uses of Estimator in sklearn.linear_model.logistic

Subclasses of Estimator in sklearn.linear_model.logistic

Modifier and Type	Class	Description
class	LogisticRegression

Uses of Estimator in sklearn.linear_model.ridge

Subclasses of Estimator in sklearn.linear_model.ridge

Modifier and Type	Class	Description
class	RidgeClassifier

Uses of Estimator in sklearn.linear_model.stochastic_gradient

Subclasses of Estimator in sklearn.linear_model.stochastic_gradient

Modifier and Type	Class	Description
class	SGDClassifier

Uses of Estimator in sklearn.model_selection

Methods in sklearn.model_selection that return Estimator

Modifier and Type	Method	Description
Estimator	EstimatorSearcher.getBestEstimator()
Estimator	EstimatorSearcher.getBestEstimator(Class<? extends Estimator> clazz)

Method parameters in sklearn.model_selection with type arguments of type Estimator

Modifier and Type	Method	Description
Estimator	EstimatorSearcher.getBestEstimator(Class<? extends Estimator> clazz)

Uses of Estimator in sklearn.multiclass

Subclasses of Estimator in sklearn.multiclass

Modifier and Type	Class	Description
class	OneVsRestClassifier

Uses of Estimator in sklearn.naive_bayes

Subclasses of Estimator in sklearn.naive_bayes

Modifier and Type	Class	Description
class	GaussianNB

Uses of Estimator in sklearn.neighbors

Subclasses of Estimator in sklearn.neighbors

Modifier and Type	Class	Description
class	KNeighborsClassifier
class	KNeighborsRegressor

Methods in sklearn.neighbors with type parameters of type Estimator

Modifier and Type	Method	Description
static <E extends Estimator & HasNeighbors & HasTrainingData> org.dmg.pmml.nearest_neighbor.NearestNeighborModel	KNeighborsUtil.encodeNeighbors(E estimator, org.dmg.pmml.MiningFunction miningFunction, int numberOfInstances, int numberOfFeatures, org.jpmml.converter.Schema schema)

Uses of Estimator in sklearn.neural_network

Subclasses of Estimator in sklearn.neural_network

Modifier and Type	Class	Description
class	MLPClassifier
class	MLPRegressor

Uses of Estimator in sklearn.pipeline

Subclasses of Estimator in sklearn.pipeline

Modifier and Type	Class	Description
class	PipelineClassifier
class	PipelineRegressor

Methods in sklearn.pipeline with type parameters of type Estimator

Modifier and Type	Method	Description
<E extends Estimator> E	Pipeline.getFinalEstimator(Class<? extends E> clazz)

Methods in sklearn.pipeline that return Estimator

Modifier and Type	Method	Description
Estimator	Pipeline.getFinalEstimator()
Estimator	Pipeline.toEstimator()

Uses of Estimator in sklearn.svm

Subclasses of Estimator in sklearn.svm

Modifier and Type	Class	Description
class	LibSVMClassifier
class	LibSVMRegressor
class	LinearSVC
class	OneClassSVM

Uses of Estimator in sklearn.tree

Subclasses of Estimator in sklearn.tree

Modifier and Type	Class	Description
class	TreeClassifier
class	TreeRegressor

Methods in sklearn.tree with type parameters of type Estimator

Modifier and Type	Method	Description
static <E extends Estimator & HasTree> org.dmg.pmml.tree.TreeModel	TreeUtil.encodeTreeModel(E estimator, org.dmg.pmml.MiningFunction miningFunction, Boolean numeric, org.jpmml.converter.PredicateManager predicateManager, org.jpmml.converter.ScoreDistributionManager scoreDistributionManager, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasTree> org.dmg.pmml.tree.TreeModel	TreeUtil.encodeTreeModel(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasEstimatorEnsemble<T>, T extends Estimator & HasTree> List<org.dmg.pmml.tree.TreeModel>	TreeUtil.encodeTreeModelEnsemble(E estimator, org.dmg.pmml.MiningFunction miningFunction, Boolean numeric, org.jpmml.converter.PredicateManager predicateManager, org.jpmml.converter.ScoreDistributionManager scoreDistributionManager, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasEstimatorEnsemble<T>, T extends Estimator & HasTree> List<org.dmg.pmml.tree.TreeModel>	TreeUtil.encodeTreeModelEnsemble(E estimator, org.dmg.pmml.MiningFunction miningFunction, Boolean numeric, org.jpmml.converter.PredicateManager predicateManager, org.jpmml.converter.ScoreDistributionManager scoreDistributionManager, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasEstimatorEnsemble<T>, T extends Estimator & HasTree> List<org.dmg.pmml.tree.TreeModel>	TreeUtil.encodeTreeModelEnsemble(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasEstimatorEnsemble<T>, T extends Estimator & HasTree> List<org.dmg.pmml.tree.TreeModel>	TreeUtil.encodeTreeModelEnsemble(E estimator, org.dmg.pmml.MiningFunction miningFunction, org.jpmml.converter.Schema schema)
static <E extends Estimator & HasTreeOptions, M extends org.dmg.pmml.Model> M	TreeUtil.transform(E estimator, M model)

Uses of Estimator in sklearn2pmml

Subclasses of Estimator in sklearn2pmml

Modifier and Type	Class	Description
class	EstimatorProxy

Methods in sklearn2pmml that return Estimator

Modifier and Type	Method	Description
Estimator	EstimatorProxy.getEstimator()

Methods in sklearn2pmml with parameters of type Estimator

Modifier and Type	Method	Description
static String	EstimatorProxy.formatProxyExample(Estimator estimator)

Uses of Estimator in sklearn2pmml.ensemble

Subclasses of Estimator in sklearn2pmml.ensemble

Modifier and Type	Class	Description
class	GBDTLMRegressor
class	GBDTLRClassifier
class	SelectFirstClassifier
class	SelectFirstRegressor

Methods in sklearn2pmml.ensemble with parameters of type Estimator

Modifier and Type	Method	Description
static org.dmg.pmml.mining.MiningModel	GBDTUtil.encodeModel(Estimator gbdt, MultiOneHotEncoder ohe, List<? extends Number> coef, Number intercept, org.jpmml.converter.Schema schema)

Uses of Estimator in sklearn2pmml.ruleset

Subclasses of Estimator in sklearn2pmml.ruleset

Modifier and Type	Class	Description
class	RuleSetClassifier