A B C D E F G H I K L M N O P Q R S T U V W Z _

A

activate(Object) - Method in class org.jpmml.sklearn.testing.SkLearnEncoderBatch

AdaBoostRegressor - Class in sklearn.ensemble.weight_boosting

AdaBoostRegressor(String, String) - Constructor for class sklearn.ensemble.weight_boosting.AdaBoostRegressor

addDecorator(Feature, Decorator) - Static method in class sklearn.preprocessing.EncoderUtil

addDecorator(Field<?>, Decorator, ModelEncoder) - Static method in class sklearn.preprocessing.EncoderUtil

addDerivedField(DerivedField) - Method in class org.jpmml.sklearn.SkLearnEncoder

addFeatureImportances(Model, Schema) - Method in class sklearn.Estimator

addTransformer(Model) - Method in class org.jpmml.sklearn.SkLearnEncoder

Aggregator - Class in sklearn2pmml.preprocessing

Aggregator(String, String) - Constructor for class sklearn2pmml.preprocessing.Aggregator

Alias - Class in sklearn2pmml.decoration

Alias(String, String) - Constructor for class sklearn2pmml.decoration.Alias

apply(int, Model, String, SkLearnEncoder) - Method in interface sklearn.ensemble.stacking.StackingUtil.PredictFunction

APPLY - Static variable in interface sklearn.SkLearnMethods

asArray(Object) - Static method in class sklearn2pmml.decoration.Domain

asWildcardFeature(Feature) - Static method in class sklearn2pmml.decoration.Domain

augmentSchema(Model, Schema) - Method in class sklearn2pmml.ensemble.Link

B

BaggingClassifier - Class in sklearn.ensemble.bagging

BaggingClassifier(String, String) - Constructor for class sklearn.ensemble.bagging.BaggingClassifier

BaggingRegressor - Class in sklearn.ensemble.bagging

BaggingRegressor(String, String) - Constructor for class sklearn.ensemble.bagging.BaggingRegressor

BaggingUtil - Class in sklearn.ensemble.bagging

BaseEncoder - Class in sklearn.preprocessing

BaseEncoder(String, String) - Constructor for class sklearn.preprocessing.BaseEncoder

BaseLoss - Class in sklearn.ensemble.hist_gradient_boosting

BaseLoss(String, String) - Constructor for class sklearn.ensemble.hist_gradient_boosting.BaseLoss

BaseLoss - Class in sklearn.loss

BaseLoss(String, String) - Constructor for class sklearn.loss.BaseLoss

BasePCA - Class in sklearn.decomposition

BasePCA(String, String) - Constructor for class sklearn.decomposition.BasePCA

Binarizer - Class in sklearn.preprocessing

Binarizer(String, String) - Constructor for class sklearn.preprocessing.Binarizer

BinaryCrossEntropy - Class in sklearn.ensemble.hist_gradient_boosting

BinaryCrossEntropy(String, String) - Constructor for class sklearn.ensemble.hist_gradient_boosting.BinaryCrossEntropy

BinaryTree - Class in sklearn.neighbors

BinaryTree(String, String) - Constructor for class sklearn.neighbors.BinaryTree

BinMapper - Class in sklearn.ensemble.hist_gradient_boosting

BinMapper(String, String) - Constructor for class sklearn.ensemble.hist_gradient_boosting.BinMapper

BinomialDeviance - Class in sklearn.ensemble.gradient_boosting

BinomialDeviance(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.BinomialDeviance

BSplineTransformer - Class in sklearn2pmml.preprocessing

BSplineTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.BSplineTransformer

BusinessDecisionTransformer - Class in sklearn2pmml.postprocessing

BusinessDecisionTransformer(String, String) - Constructor for class sklearn2pmml.postprocessing.BusinessDecisionTransformer

C

CalibratedClassifier - Class in sklearn.calibration

CalibratedClassifier(String, String) - Constructor for class sklearn.calibration.CalibratedClassifier

CalibratedClassifierCV - Class in sklearn.calibration

CalibratedClassifierCV(String, String) - Constructor for class sklearn.calibration.CalibratedClassifierCV

Calibrator - Class in sklearn

Calibrator(String, String) - Constructor for class sklearn.Calibrator

castTo(Class<?>) - Method in class sklearn.Composite

castTo(Class<?>) - Method in class sklearn.model_selection.EstimatorSearcher

CastTransformer - Class in sklearn2pmml.preprocessing

CastTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.CastTransformer

CategoricalCrossEntropy - Class in sklearn.ensemble.hist_gradient_boosting

CategoricalCrossEntropy(String, String) - Constructor for class sklearn.ensemble.hist_gradient_boosting.CategoricalCrossEntropy

CategoricalDomain - Class in sklearn2pmml.decoration

CategoricalDomain(String, String) - Constructor for class sklearn2pmml.decoration.CategoricalDomain

CategoricalImputer - Class in sklearn_pandas

CategoricalImputer(String, String) - Constructor for class sklearn_pandas.CategoricalImputer

chaid - package chaid

CHAIDClassifier - Class in sklearn2pmml.tree

CHAIDClassifier(String, String) - Constructor for class sklearn2pmml.tree.CHAIDClassifier

CHAIDRegressor - Class in sklearn2pmml.tree

CHAIDRegressor(String, String) - Constructor for class sklearn2pmml.tree.CHAIDRegressor

CHAIDUtil - Class in sklearn2pmml.tree

ChainUtil - Class in sklearn.multioutput

checkFeatures(List<? extends Feature>) - Method in class sklearn.Estimator

checkFeatures(List<? extends Feature>) - Method in class sklearn.Transformer

checkFeatures(List<? extends Feature>) - Method in class sklearn2pmml.EstimatorProxy

checkLabel(Label) - Method in class sklearn.Estimator

checkLabel(Label) - Method in class sklearn2pmml.EstimatorProxy

checkNumberOfFeatures(Step, List<? extends Feature>) - Static method in class sklearn.StepUtil

checkValue(Object) - Static method in class sklearn2pmml.decoration.Domain

checkVersion() - Method in class sklearn.Step

CLASSES - Static variable in interface sklearn.SkLearnFields

Classifier - Class in sklearn

Classifier(String, String) - Constructor for class sklearn.Classifier

ClassifierChain - Class in sklearn.multioutput

ClassifierChain(String, String) - Constructor for class sklearn.multioutput.ClassifierChain

clear(Field<?>) - Method in class sklearn2pmml.decoration.ContinuousDomainEraser

clear(Field<?>) - Method in class sklearn2pmml.decoration.DiscreteDomainEraser

clear(Field<?>) - Method in class sklearn2pmml.decoration.DomainEraser

Clusterer - Class in sklearn

Clusterer(String, String) - Constructor for class sklearn.Clusterer

Column - Class in chaid

Column(String, String) - Constructor for class chaid.Column

ColumnTransformer - Class in sklearn.compose

ColumnTransformer(String, String) - Constructor for class sklearn.compose.ColumnTransformer

compareVersion(String, String) - Static method in class sklearn.VersionUtil

Composite - Class in sklearn

Composite(String, String) - Constructor for class sklearn.Composite

CompositeClassifier - Class in sklearn

CompositeClassifier(Composite) - Constructor for class sklearn.CompositeClassifier

CompositeClusterer - Class in sklearn

CompositeClusterer(Composite) - Constructor for class sklearn.CompositeClusterer

CompositeRegressor - Class in sklearn

CompositeRegressor(Composite) - Constructor for class sklearn.CompositeRegressor

CompositeTransformer - Class in sklearn

CompositeTransformer(Composite) - Constructor for class sklearn.CompositeTransformer

computeInitialPredictions(HasPriorProbability) - Method in class sklearn.ensemble.gradient_boosting.BinomialDeviance

computeInitialPredictions(HasPriorProbability) - Method in class sklearn.ensemble.gradient_boosting.ExponentialLoss

computeInitialPredictions(HasPriorProbability) - Method in class sklearn.ensemble.gradient_boosting.LossFunction

computeInitialPredictions(HasPriorProbability) - Method in class sklearn.ensemble.gradient_boosting.MultinomialDeviance

ConcatTransformer - Class in sklearn2pmml.preprocessing

ConcatTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.ConcatTransformer

configure(TextIndex) - Method in class sklearn.feature_extraction.text.Tokenizer

configure(TextIndex) - Method in class sklearn2pmml.feature_extraction.text.Matcher

configure(TextIndex) - Method in class sklearn2pmml.feature_extraction.text.Splitter

ContinuousColumn - Class in chaid

ContinuousColumn(String, String) - Constructor for class chaid.ContinuousColumn

ContinuousDomain - Class in sklearn2pmml.decoration

ContinuousDomain(String, String) - Constructor for class sklearn2pmml.decoration.ContinuousDomain

ContinuousDomainEraser - Class in sklearn2pmml.decoration

ContinuousDomainEraser(String, String) - Constructor for class sklearn2pmml.decoration.ContinuousDomainEraser

CountVectorizer - Class in sklearn.feature_extraction.text

CountVectorizer(String, String) - Constructor for class sklearn.feature_extraction.text.CountVectorizer

createApplyField(DataType) - Method in class sklearn.Estimator

createBatch(String, String, Predicate<ResultField>, Equivalence<Object>) - Method in class org.jpmml.sklearn.testing.SkLearnEncoderBatchTest

createCounts(Map<String, ?>) - Static method in class sklearn2pmml.decoration.Domain

createDataField(String) - Method in class org.jpmml.sklearn.SkLearnEncoder

createDerivedField(String, Expression) - Method in class org.jpmml.sklearn.SkLearnEncoder

createDiscrStats(DataType, Object[]) - Static method in class sklearn2pmml.decoration.DiscreteDomain

createExpression(FieldRef) - Method in class sklearn.SkLearnOutlierTransformation

createFieldName(String, Feature) - Method in class sklearn.Calibrator

createFieldName(String, Object...) - Method in class sklearn.Transformer

createFieldName(String, List<?>) - Method in class sklearn.Transformer

createKernel(String, Number, Number, Number) - Static method in class sklearn.svm.SupportVectorMachineUtil

createMultiApplyField(DataType, String) - Method in class sklearn.Estimator

createNeighborFields(int) - Static method in class org.jpmml.sklearn.testing.SkLearnEncoderBatchTest

createNumericInfo(DataType, Map<String, ?>) - Static method in class sklearn2pmml.decoration.ContinuousDomain

createOutputField(OutputField) - Method in class sklearn.SkLearnOutlierTransformation

createPredictedOutput(E) - Static method in class sklearn.OutlierDetectorUtil

createPredictedOutput(E, String, Transformation...) - Static method in class sklearn.OutlierDetectorUtil

createPredictProbaFields(DataType, CategoricalLabel) - Method in class sklearn.Estimator

createRegression(List<? extends Number>, Number, Schema) - Method in class sklearn.linear_model.glm.GeneralizedLinearRegressor

createRegression(List<? extends Number>, Number, Schema) - Method in class sklearn.linear_model.LinearRegressor

createSchema() - Method in class org.jpmml.sklearn.SkLearnEncoder

createTransformation() - Method in class sklearn.ensemble.gradient_boosting.BinomialDeviance

createTransformation() - Method in class sklearn.ensemble.gradient_boosting.ExponentialLoss

createTransformation() - Method in class sklearn.ensemble.gradient_boosting.LossFunction

createTransformation() - Method in class sklearn.ensemble.gradient_boosting.MultinomialDeviance

CutTransformer - Class in sklearn2pmml.preprocessing

CutTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.CutTransformer

CyLossFunction - Class in sklearn.loss

CyLossFunction(String, String) - Constructor for class sklearn.loss.CyLossFunction

D

DataFrameConstructor - Class in sklearn2pmml.preprocessing

DataFrameConstructor(String, String) - Constructor for class sklearn2pmml.preprocessing.DataFrameConstructor

DataFrameMapper - Class in sklearn_pandas

DataFrameMapper(String, String) - Constructor for class sklearn_pandas.DataFrameMapper

DateDomain - Class in sklearn2pmml.decoration

DateDomain(String, String) - Constructor for class sklearn2pmml.decoration.DateDomain

DateTimeDomain - Class in sklearn2pmml.decoration

DateTimeDomain(String, String) - Constructor for class sklearn2pmml.decoration.DateTimeDomain

DateTimeFormatter - Class in sklearn2pmml.preprocessing

DateTimeFormatter(String, String) - Constructor for class sklearn2pmml.preprocessing.DateTimeFormatter

DaysSinceYearTransformer - Class in sklearn2pmml.preprocessing

DaysSinceYearTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.DaysSinceYearTransformer

deactivate(Object) - Method in class org.jpmml.sklearn.testing.SkLearnEncoderBatch

DECISION_FUNCTION - Static variable in interface sklearn.SkLearnMethods

decodeSplitMap(List<?>) - Static method in class chaid.Split

DictVectorizer - Class in sklearn.feature_extraction

DictVectorizer(String, String) - Constructor for class sklearn.feature_extraction.DictVectorizer

DiscreteDomain - Class in sklearn2pmml.decoration

DiscreteDomain(String, String) - Constructor for class sklearn2pmml.decoration.DiscreteDomain

DiscreteDomainEraser - Class in sklearn2pmml.decoration

DiscreteDomainEraser(String, String) - Constructor for class sklearn2pmml.decoration.DiscreteDomainEraser

DistanceMetric - Class in sklearn.metrics

DistanceMetric(String, String) - Constructor for class sklearn.metrics.DistanceMetric

DistanceMetric - Class in sklearn.neighbors

DistanceMetric(String, String) - Constructor for class sklearn.neighbors.DistanceMetric

DistributionBoundary - Class in sklearn.linear_model.glm

DistributionBoundary(String, String) - Constructor for class sklearn.linear_model.glm.DistributionBoundary

Domain - Class in sklearn2pmml.decoration

Domain(String, String) - Constructor for class sklearn2pmml.decoration.Domain

DomainEraser - Class in sklearn2pmml.decoration

DomainEraser(String, String) - Constructor for class sklearn2pmml.decoration.DomainEraser

DomainUtil - Class in sklearn2pmml.decoration

Drop - Class in sklearn

DROP - Static variable in interface sklearn.SkLearnSteps

DTYPE_NODEDATA - Static variable in class sklearn.neighbors.BinaryTree

DTYPE_PREDICTOR_NEW - Static variable in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

DTYPE_PREDICTOR_OLD - Static variable in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

DTYPE_TREE - Static variable in class sklearn.tree.Tree

DummyClassifier - Class in sklearn.dummy

DummyClassifier() - Constructor for class sklearn.dummy.DummyClassifier

DummyClassifier(String, String) - Constructor for class sklearn.dummy.DummyClassifier

DummyRegressor - Class in sklearn.dummy

DummyRegressor() - Constructor for class sklearn.dummy.DummyRegressor

DummyRegressor(String, String) - Constructor for class sklearn.dummy.DummyRegressor

DurationTransformer - Class in sklearn2pmml.preprocessing

DurationTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.DurationTransformer

E

Encodable - Interface in org.jpmml.sklearn

EncodableUtil - Class in org.jpmml.sklearn

encode(Schema) - Method in class sklearn.Estimator

encode(Object, Schema) - Method in class sklearn.Estimator

encode(List<Feature>, SkLearnEncoder) - Method in class sklearn.Transformer

encodeApply(DefineFunction, Feature, int, String) - Method in class sklearn.feature_extraction.text.CountVectorizer

encodeApply(DefineFunction, Feature, int, String) - Method in class sklearn.feature_extraction.text.TfidfVectorizer

encodeApplyOutput(Model, DataType) - Method in class sklearn.Estimator

encodeBagging(List<E>, List<List<Integer>>, Segmentation.MultipleModelMethod, MiningFunction, Schema) - Static method in class sklearn.ensemble.bagging.BaggingUtil

encodeBaseForest(E, Segmentation.MultipleModelMethod, MiningFunction, Schema) - Static method in class sklearn.ensemble.forest.ForestUtil

encodeChain(List<E>, List<Integer>, Schema) - Static method in class sklearn.multioutput.ChainUtil

encodeClassifier(List<Object[]>, Schema) - Static method in class sklearn2pmml.ensemble.SelectFirstUtil

encodeDefineFunction(Feature, SkLearnEncoder) - Method in class sklearn.feature_extraction.text.CountVectorizer

encodeDefineFunction(Feature, SkLearnEncoder) - Method in class sklearn.feature_extraction.text.TfidfVectorizer

encodeEstimators(List<E>, Schema) - Static method in class sklearn.multioutput.MultiOutputUtil

encodeFeature(Transformer, Feature, Boolean, Object, Object, MissingValueTreatmentMethod, SkLearnEncoder) - Static method in class sklearn.impute.ImputerUtil

encodeFeature(WildcardFeature, List<?>) - Method in class sklearn2pmml.decoration.CategoricalDomain

encodeFeature(WildcardFeature, List<?>) - Method in class sklearn2pmml.decoration.DiscreteDomain

encodeFeature(WildcardFeature, List<?>) - Method in class sklearn2pmml.decoration.OrdinalDomain

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.calibration.SigmoidCalibration

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.Calibrator

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.compose.ColumnTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.Composite

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.CompositeTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.decomposition.PCA

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.decomposition.TruncatedSVD

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.Drop

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.feature_extraction.text.CountVectorizer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.feature_extraction.text.TfidfVectorizer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.IdentityTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.impute.MissingIndicator

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.impute.SimpleImputer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.Initializer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.isotonic.IsotonicRegression

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.pipeline.FeatureUnion

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.Binarizer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.FunctionTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.KBinsDiscretizer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.LabelBinarizer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.LabelEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.MaxAbsScaler

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.MinMaxScaler

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.MultiOneHotEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.OneHotEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.OrdinalEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.PolynomialFeatures

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.PowerTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.RobustScaler

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.preprocessing.StandardScaler

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.Selector

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.Transformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.Alias

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.ContinuousDomain

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.DiscreteDomain

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.Domain

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.DomainEraser

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.MultiAlias

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.MultiDomain

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.TemporalDomain

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.decoration.TransformerWrapper

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.neural_network.MLPTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.pipeline.PMMLPipeline

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.postprocessing.BusinessDecisionTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.Aggregator

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.BSplineTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.CastTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.ConcatTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.CutTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.DataFrameConstructor

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.DurationTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.FilterLookupTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.Formatter

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.LookupTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.MatchesTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.MultiLookupTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.PowerFunctionTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.ReplaceTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.SecondsSinceMidnightTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.StringNormalizer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.SubstringTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.WordCountTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.util.Slicer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn_pandas.CategoricalImputer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn_pandas.DataFrameMapper

encodeGradientBoosting(E, Number, Number, Schema) - Static method in class sklearn.ensemble.gradient_boosting.GradientBoostingUtil

encodeHistGradientBoosting(List<List<TreePredictor>>, BinMapper, List<? extends Number>, int, Schema) - Static method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingUtil

encodeHistGradientBoosting(List<TreePredictor>, BinMapper, Number, Schema) - Static method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingUtil

encodeIndexFeature(Transformer, Feature, List<?>, Number, Number, DataType, SkLearnEncoder) - Static method in class sklearn.preprocessing.EncoderUtil

encodeIndexFeature(Transformer, Feature, List<?>, List<? extends Number>, Number, Number, DataType, SkLearnEncoder) - Static method in class sklearn.preprocessing.EncoderUtil

encodeIndicatorFeature(Transformer, Feature, Object, SkLearnEncoder) - Static method in class sklearn.impute.ImputerUtil

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn.Classifier

encodeLabel(String, List<?>, SkLearnEncoder) - Method in class sklearn.Classifier

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn.Clusterer

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn.ensemble.iforest.IsolationForest

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn.Estimator

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn.linear_model.stochastic_gradient.SGDOneClassSVM

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn.Regressor

encodeLabel(String, SkLearnEncoder) - Method in class sklearn.Regressor

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn.svm.OneClassSVM

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn2pmml.ensemble.EstimatorChain

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn2pmml.ensemble.Link

encodeLabel(List<String>, SkLearnEncoder) - Method in class sklearn2pmml.EstimatorProxy

encodeModel(Model) - Method in class org.jpmml.sklearn.SkLearnEncoder

encodeModel(Schema) - Method in class sklearn.calibration.CalibratedClassifier

encodeModel(Schema) - Method in class sklearn.calibration.CalibratedClassifierCV

encodeModel(Schema) - Method in class sklearn.Calibrator

encodeModel(Schema) - Method in class sklearn.cluster.KMeans

encodeModel(Schema) - Method in class sklearn.compose.TransformedTargetRegressor

encodeModel(Schema) - Method in class sklearn.Composite

encodeModel(Schema) - Method in class sklearn.CompositeClassifier

encodeModel(Schema) - Method in class sklearn.CompositeClusterer

encodeModel(Schema) - Method in class sklearn.CompositeRegressor

encodeModel(Schema) - Method in class sklearn.discriminant_analysis.LinearDiscriminantAnalysis

encodeModel(Schema) - Method in class sklearn.dummy.DummyClassifier

encodeModel(Schema) - Method in class sklearn.dummy.DummyRegressor

encodeModel(Schema) - Method in class sklearn.ensemble.bagging.BaggingClassifier

encodeModel(Schema) - Method in class sklearn.ensemble.bagging.BaggingRegressor

encodeModel(Schema) - Method in class sklearn.ensemble.forest.ForestClassifier

encodeModel(Schema) - Method in class sklearn.ensemble.forest.ForestRegressor

encodeModel(Schema) - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

encodeModel(Schema) - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

encodeModel(Schema) - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier

encodeModel(Schema) - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingRegressor

encodeModel(Schema) - Method in class sklearn.ensemble.iforest.IsolationForest

encodeModel(Schema) - Method in class sklearn.ensemble.stacking.StackingClassifier

encodeModel(Schema) - Method in class sklearn.ensemble.stacking.StackingRegressor

encodeModel(Schema) - Method in class sklearn.ensemble.voting.VotingClassifier

encodeModel(Schema) - Method in class sklearn.ensemble.voting.VotingRegressor

encodeModel(Schema) - Method in class sklearn.ensemble.weight_boosting.AdaBoostRegressor

encodeModel(Schema) - Method in class sklearn.Estimator

encodeModel(Schema) - Method in class sklearn.linear_model.LinearClassifier

encodeModel(Schema) - Method in class sklearn.linear_model.LinearRegressor

encodeModel(Schema) - Method in class sklearn.linear_model.logistic.LogisticRegression

encodeModel(Schema) - Method in class sklearn.linear_model.stochastic_gradient.SGDOneClassSVM

encodeModel(Schema) - Method in class sklearn.multiclass.OneVsRestClassifier

encodeModel(Schema) - Method in class sklearn.multioutput.ClassifierChain

encodeModel(Schema) - Method in class sklearn.multioutput.MultiOutputClassifier

encodeModel(Schema) - Method in class sklearn.multioutput.MultiOutputRegressor

encodeModel(Schema) - Method in class sklearn.multioutput.RegressorChain

encodeModel(Schema) - Method in class sklearn.naive_bayes.GaussianNB

encodeModel(Schema) - Method in class sklearn.neighbors.KNeighborsClassifier

encodeModel(Schema) - Method in class sklearn.neighbors.KNeighborsRegressor

encodeModel(Schema) - Method in class sklearn.neighbors.NearestCentroid

encodeModel(Schema) - Method in class sklearn.neighbors.NearestNeighbors

encodeModel(Schema) - Method in class sklearn.neural_network.MLPClassifier

encodeModel(Schema) - Method in class sklearn.neural_network.MLPRegressor

encodeModel(Schema) - Method in class sklearn.svm.LibSVMClassifier

encodeModel(Schema) - Method in class sklearn.svm.LibSVMRegressor

encodeModel(Schema) - Method in class sklearn.svm.LinearSVC

encodeModel(Schema) - Method in class sklearn.svm.OneClassSVM

encodeModel(Schema) - Method in class sklearn.tree.TreeClassifier

encodeModel(Schema) - Method in class sklearn.tree.TreeRegressor

encodeModel(Schema) - Method in class sklearn2pmml.ensemble.EstimatorChain

encodeModel(Schema) - Method in class sklearn2pmml.ensemble.GBDTLMRegressor

encodeModel(Schema) - Method in class sklearn2pmml.ensemble.GBDTLRClassifier

encodeModel(Estimator, MultiOneHotEncoder, List<? extends Number>, Number, Schema) - Static method in class sklearn2pmml.ensemble.GBDTUtil

encodeModel(Schema) - Method in class sklearn2pmml.ensemble.Link

encodeModel(Schema) - Method in class sklearn2pmml.ensemble.SelectFirstClassifier

encodeModel(Schema) - Method in class sklearn2pmml.ensemble.SelectFirstRegressor

encodeModel(Schema) - Method in class sklearn2pmml.EstimatorProxy

encodeModel(Schema) - Method in class sklearn2pmml.expression.ExpressionClassifier

encodeModel(Schema) - Method in class sklearn2pmml.expression.ExpressionRegressor

encodeModel(Schema) - Method in class sklearn2pmml.pipeline.PMMLPipeline

encodeModel(Schema) - Method in class sklearn2pmml.ruleset.RuleSetClassifier

encodeModel(Schema) - Method in class sklearn2pmml.tree.CHAIDClassifier

encodeModel(Schema) - Method in class sklearn2pmml.tree.CHAIDRegressor

encodeModel(MiningFunction, Tree, Schema) - Static method in class sklearn2pmml.tree.CHAIDUtil

encodeMultiApplyOutput(Model, DataType, List<String>) - Method in class sklearn.Estimator

encodeNativeLike(Estimator, Schema) - Static method in class sklearn.EstimatorUtil

encodeNeighbors(E, MiningFunction, int, int, Schema) - Static method in class sklearn.neighbors.KNeighborsUtil

encodeNeuralLayers(NeuralInputs, List<? extends HasArray>, List<? extends HasArray>) - Static method in class sklearn.neural_network.MultilayerPerceptronUtil

encodeNeuralLayers(NeuralInputs, int, List<? extends HasArray>, List<? extends HasArray>) - Static method in class sklearn.neural_network.MultilayerPerceptronUtil

encodeNeuralNetwork(MiningFunction, String, List<? extends HasArray>, List<? extends HasArray>, Schema) - Static method in class sklearn.neural_network.MultilayerPerceptronUtil

encodeNeuralOutputs(MiningFunction, List<NeuralLayer>, Label) - Static method in class sklearn.neural_network.MultilayerPerceptronUtil

encodePMML() - Method in interface org.jpmml.sklearn.Encodable

encodePMML(E) - Static method in class sklearn.EstimatorUtil

encodePMML() - Method in class sklearn.pipeline.SkLearnPipeline

encodePMML() - Method in class sklearn.SkLearnClassifier

encodePMML() - Method in class sklearn.SkLearnClusterer

encodePMML() - Method in class sklearn.SkLearnRegressor

encodePMML() - Method in class sklearn.SkLearnTransformer

encodePMML(E) - Static method in class sklearn.TransformerUtil

encodePMML() - Method in class sklearn2pmml.pipeline.PMMLPipeline

encodePredictProbaOutput(Model, DataType, CategoricalLabel) - Method in class sklearn.Classifier

encodeRegressor(List<Object[]>, Schema) - Static method in class sklearn2pmml.ensemble.SelectFirstUtil

encodeRegroupFeature(Transformer, Feature, List<?>, Object, SkLearnEncoder) - Static method in class sklearn.preprocessing.EncoderUtil

EncoderUtil - Class in sklearn.preprocessing

encodeStacking(List<? extends E>, List<String>, StackingUtil.PredictFunction, E, boolean, Schema) - Static method in class sklearn.ensemble.stacking.StackingUtil

encodeTreeModel(TreePredictor, BinMapper, Schema) - Static method in class sklearn.ensemble.hist_gradient_boosting.TreePredictorUtil

encodeTreeModel(TreePredictor, BinMapper, PredicateManager, Schema) - Static method in class sklearn.ensemble.hist_gradient_boosting.TreePredictorUtil

encodeTreeModel(E, MiningFunction, Schema) - Static method in class sklearn.tree.TreeUtil

encodeTreeModel(E, MiningFunction, Boolean, PredicateManager, ScoreDistributionManager, Schema) - Static method in class sklearn.tree.TreeUtil

encodeTreeModelEnsemble(E, MiningFunction, Schema) - Static method in class sklearn.tree.TreeUtil

encodeTreeModelEnsemble(E, MiningFunction, Boolean, PredicateManager, ScoreDistributionManager, Schema) - Static method in class sklearn.tree.TreeUtil

EnsembleClassifier - Class in sklearn.ensemble

EnsembleClassifier(String, String) - Constructor for class sklearn.ensemble.EnsembleClassifier

EnsembleRegressor - Class in sklearn.ensemble

EnsembleRegressor(String, String) - Constructor for class sklearn.ensemble.EnsembleRegressor

EnsembleUtil - Class in sklearn.ensemble

enterNode(Node) - Method in class sklearn.tree.visitors.TreeModelCompactor

enterNode(Node) - Method in class sklearn.tree.visitors.TreeModelFlattener

enterNode(Node) - Method in class sklearn.tree.visitors.TreeModelPruner

enterTreeModel(TreeModel) - Method in class sklearn.tree.visitors.TreeModelCompactor

enterTreeModel(TreeModel) - Method in class sklearn.tree.visitors.TreeModelFlattener

enterTreeModel(TreeModel) - Method in class sklearn.tree.visitors.TreeModelPruner

Estimator - Class in sklearn

Estimator(String, String) - Constructor for class sklearn.Estimator

EstimatorChain - Class in sklearn2pmml.ensemble

EstimatorChain(String, String) - Constructor for class sklearn2pmml.ensemble.EstimatorChain

EstimatorProxy - Class in sklearn2pmml

EstimatorProxy() - Constructor for class sklearn2pmml.EstimatorProxy

EstimatorProxy(String, String) - Constructor for class sklearn2pmml.EstimatorProxy

EstimatorSearcher - Class in sklearn.model_selection

EstimatorSearcher(String, String) - Constructor for class sklearn.model_selection.EstimatorSearcher

EstimatorUtil - Class in sklearn

Evaluatable<E extends org.dmg.pmml.PMMLObject> - Class in sklearn2pmml.util

Evaluatable(String, String) - Constructor for class sklearn2pmml.util.Evaluatable

EvaluatableUtil - Class in sklearn2pmml.util

exitNode(Node) - Method in class sklearn.tree.visitors.TreeModelCompactor

exitNode(Node) - Method in class sklearn.tree.visitors.TreeModelFlattener

exitNode(Node) - Method in class sklearn.tree.visitors.TreeModelPruner

exitTreeModel(TreeModel) - Method in class sklearn.tree.visitors.TreeModelCompactor

exitTreeModel(TreeModel) - Method in class sklearn.tree.visitors.TreeModelFlattener

exitTreeModel(TreeModel) - Method in class sklearn.tree.visitors.TreeModelPruner

ExponentialLoss - Class in sklearn.ensemble.gradient_boosting

ExponentialLoss(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.ExponentialLoss

export(Model, String) - Method in class org.jpmml.sklearn.SkLearnEncoder

export(Model, List<String>) - Method in class org.jpmml.sklearn.SkLearnEncoder

export(Estimator, String, Schema, Model, SkLearnEncoder) - Static method in class sklearn.EstimatorUtil

exportPrediction(Model, ScalarLabel) - Method in class org.jpmml.sklearn.SkLearnEncoder

exportPrediction(Model, String, ScalarLabel) - Method in class org.jpmml.sklearn.SkLearnEncoder

exportProbability(Model, Object) - Method in class org.jpmml.sklearn.SkLearnEncoder

exportProbability(Model, String, Object) - Method in class org.jpmml.sklearn.SkLearnEncoder

Expression - Class in sklearn2pmml.util

Expression(String, String) - Constructor for class sklearn2pmml.util.Expression

ExpressionClassifier - Class in sklearn2pmml.expression

ExpressionClassifier(String, String) - Constructor for class sklearn2pmml.expression.ExpressionClassifier

ExpressionRegressor - Class in sklearn2pmml.expression

ExpressionRegressor(String, String) - Constructor for class sklearn2pmml.expression.ExpressionRegressor

ExpressionTransformer - Class in sklearn2pmml.preprocessing

ExpressionTransformer() - Constructor for class sklearn2pmml.preprocessing.ExpressionTransformer

ExpressionTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.ExpressionTransformer

ExpressionUtil - Class in sklearn2pmml.expression

extractArguments(String, String) - Static method in class sklearn.Estimator

extractMap(Map<String, ?>, int) - Static method in class sklearn2pmml.decoration.Domain

F

FEATURE_IMPORTANCES - Static variable in interface sklearn.SkLearnFields

FEATURE_NAMES_IN - Static variable in interface sklearn.SkLearnFields

FeatureUnion - Class in sklearn.pipeline

FeatureUnion(String, String) - Constructor for class sklearn.pipeline.FeatureUnion

FIELD_APPLY - Static variable in class sklearn.Estimator

FIELD_CLUSTER - Static variable in class sklearn.Clusterer

FIELD_DECISION_FUNCTION - Static variable in class sklearn.Estimator

FIELD_OUTLIER - Static variable in interface sklearn.OutlierDetector

FIELD_PREDICT - Static variable in class sklearn.Estimator

FIELD_PROBABILITY - Static variable in class sklearn.Classifier

FieldNames - Interface in org.jpmml.sklearn

filterCategories(List<E>) - Static method in class sklearn.preprocessing.EncoderUtil

FilterLookupTransformer - Class in sklearn2pmml.preprocessing

FilterLookupTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.FilterLookupTransformer

ForestClassifier - Class in sklearn.ensemble.forest

ForestClassifier(String, String) - Constructor for class sklearn.ensemble.forest.ForestClassifier

ForestRegressor - Class in sklearn.ensemble.forest

ForestRegressor(String, String) - Constructor for class sklearn.ensemble.forest.ForestRegressor

ForestUtil - Class in sklearn.ensemble.forest

formatAliasExample() - Static method in class sklearn2pmml.decoration.Alias

formatArg(String) - Static method in class sklearn2pmml.preprocessing.PatternTransformer

formatColumns(List<Feature>) - Method in class sklearn2pmml.preprocessing.LookupTransformer

formatColumns(List<Feature>) - Method in class sklearn2pmml.preprocessing.MultiLookupTransformer

formatIds(List<Integer>) - Static method in class sklearn.svm.SupportVectorMachineUtil

formatProxyExample(Estimator) - Static method in class sklearn2pmml.EstimatorProxy

formatProxyExample(Selector) - Static method in class sklearn2pmml.SelectorProxy

formatStopWordsRE(List<String>) - Method in class sklearn.feature_extraction.text.Tokenizer

formatStopWordsRE(List<String>) - Method in class sklearn2pmml.feature_extraction.text.Matcher

formatStopWordsRE(List<String>) - Method in class sklearn2pmml.feature_extraction.text.Splitter

Formatter - Class in sklearn2pmml.preprocessing

Formatter(String, String) - Constructor for class sklearn2pmml.preprocessing.Formatter

functionName() - Method in class sklearn.feature_extraction.text.CountVectorizer

functionName() - Method in class sklearn.feature_extraction.text.TfidfVectorizer

FunctionTransformer - Class in sklearn.preprocessing

FunctionTransformer(String, String) - Constructor for class sklearn.preprocessing.FunctionTransformer

G

GaussianNB - Class in sklearn.naive_bayes

GaussianNB(String, String) - Constructor for class sklearn.naive_bayes.GaussianNB

GBDTLMRegressor - Class in sklearn2pmml.ensemble

GBDTLMRegressor(String, String) - Constructor for class sklearn2pmml.ensemble.GBDTLMRegressor

GBDTLRClassifier - Class in sklearn2pmml.ensemble

GBDTLRClassifier(String, String) - Constructor for class sklearn2pmml.ensemble.GBDTLRClassifier

GBDTUtil - Class in sklearn2pmml.ensemble

GeneralizedLinearRegressor - Class in sklearn.linear_model.glm

GeneralizedLinearRegressor(String, String) - Constructor for class sklearn.linear_model.glm.GeneralizedLinearRegressor

generateFeatureNames(Step) - Static method in class sklearn.StepUtil

generateNames(String, int, boolean) - Static method in class org.jpmml.sklearn.SkLearnEncoder

generateOutputNames(Estimator) - Static method in class sklearn.EstimatorUtil

getA() - Method in class sklearn.calibration.SigmoidCalibration

getActivation() - Method in class sklearn.neural_network.MLPClassifier

getActivation() - Method in class sklearn.neural_network.MLPRegressor

getActiveFeatures() - Method in class sklearn.preprocessing.OneHotEncoder

getActiveFields() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getActiveValues() - Method in class sklearn2pmml.pipeline.Verification

getActiveValuesShape() - Method in class sklearn2pmml.pipeline.Verification

getAddIndicator() - Method in class sklearn.impute.SimpleImputer

getAlgorithmName() - Method in class sklearn.CompositeClassifier

getAlgorithmName() - Method in class sklearn.CompositeClusterer

getAlgorithmName() - Method in class sklearn.CompositeRegressor

getAlgorithmName() - Method in class sklearn.Estimator

getAlgorithmName() - Method in class sklearn2pmml.ensemble.Link

getAlgorithmName() - Method in class sklearn2pmml.EstimatorProxy

getAnalyzer() - Method in class sklearn.feature_extraction.text.CountVectorizer

getApplyField() - Method in interface sklearn.HasApplyField

getApplyField() - Method in class sklearn.tree.TreeClassifier

getApplyField() - Method in class sklearn.tree.TreeRegressor

getApplyField() - Method in class sklearn2pmml.tree.CHAIDClassifier

getApplyField() - Method in class sklearn2pmml.tree.CHAIDRegressor

getApplyTransformer() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getArchiveBatchTest() - Method in class org.jpmml.sklearn.testing.SkLearnEncoderBatch

getArr() - Method in class chaid.Column

getArr() - Method in class chaid.ContinuousColumn

getArr() - Method in class chaid.NominalColumn

getArrayShape(String) - Method in class sklearn2pmml.decoration.ContinuousDomain

getAugmentFuncs() - Method in class sklearn2pmml.ensemble.Link

getB() - Method in class sklearn.calibration.SigmoidCalibration

getBaselinePrediction() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier

getBaselinePrediction() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingRegressor

getBegin() - Method in class sklearn2pmml.preprocessing.SubstringTransformer

getBehaviour() - Method in class sklearn.ensemble.iforest.IsolationForest

getBestEstimator() - Method in class sklearn.model_selection.EstimatorSearcher

getBestEstimator(Class<? extends Estimator>) - Method in class sklearn.model_selection.EstimatorSearcher

getBinary() - Method in class sklearn.feature_extraction.text.CountVectorizer

getBinEdges() - Method in class sklearn.preprocessing.KBinsDiscretizer

getBinMapper() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier

getBinMapper() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingRegressor

getBins() - Method in class sklearn2pmml.preprocessing.CutTransformer

getBinThreshhold() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getBinThresholds() - Method in class sklearn.ensemble.hist_gradient_boosting.BinMapper

getBitsetIdx() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getBSpline() - Method in class sklearn2pmml.preprocessing.BSplineTransformer

getBusinessProblem() - Method in class sklearn2pmml.postprocessing.BusinessDecisionTransformer

getCalibratedClassifiers() - Method in class sklearn.calibration.CalibratedClassifierCV

getCalibrators() - Method in class sklearn.calibration.CalibratedClassifier

getCategories() - Method in class sklearn.preprocessing.BaseEncoder

getCenter() - Method in class sklearn.preprocessing.RobustScaler

getCenterShape() - Method in class sklearn.preprocessing.RobustScaler

getCentroids() - Method in class sklearn.neighbors.NearestCentroid

getCentroidsShape() - Method in class sklearn.neighbors.NearestCentroid

getChildrenLeft() - Method in class sklearn.tree.Tree

getChildrenRight() - Method in class sklearn.tree.Tree

getClassCount() - Method in class sklearn.naive_bayes.GaussianNB

getClasses() - Method in class sklearn.calibration.CalibratedClassifier

getClasses() - Method in class sklearn.Classifier

getClasses() - Method in class sklearn.CompositeClassifier

getClasses(Estimator) - Static method in class sklearn.EstimatorUtil

getClasses() - Method in interface sklearn.HasClasses

getClasses() - Method in class sklearn.LabelEncoderClassifier

getClasses() - Method in class sklearn.linear_model.ridge.RidgeClassifier

getClasses() - Method in class sklearn.preprocessing.LabelBinarizer

getClasses() - Method in class sklearn.preprocessing.LabelEncoder

getClasses() - Method in class sklearn2pmml.ensemble.EstimatorChain

getClasses() - Method in class sklearn2pmml.ensemble.GBDTLRClassifier

getClasses() - Method in class sklearn2pmml.ensemble.Link

getClasses() - Method in class sklearn2pmml.ensemble.SelectFirstClassifier

getClasses() - Method in class sklearn2pmml.EstimatorProxy

getClasses() - Method in class sklearn2pmml.ruleset.RuleSetClassifier

getClassExprs() - Method in class sklearn2pmml.expression.ExpressionClassifier

getClassifiers() - Method in class sklearn2pmml.ensemble.SelectFirstClassifier

getClassPrior() - Method in class sklearn.dummy.DummyClassifier

getClusterCenters() - Method in class sklearn.cluster.KMeans

getClusterCentersShape() - Method in class sklearn.cluster.KMeans

getCoef() - Method in class sklearn.linear_model.LinearClassifier

getCoef() - Method in class sklearn.linear_model.LinearRegressor

getCoef() - Method in class sklearn.linear_model.stochastic_gradient.SGDOneClassSVM

getCoef0() - Method in class sklearn.svm.LibSVMClassifier

getCoef0() - Method in class sklearn.svm.LibSVMRegressor

getCoefs() - Method in class sklearn.neural_network.MLPClassifier

getCoefs() - Method in class sklearn.neural_network.MLPRegressor

getCoefShape() - Method in class sklearn.linear_model.LinearClassifier

getCoefShape() - Method in class sklearn.linear_model.LinearRegressor

getColumnId() - Method in class chaid.Split

getColumns() - Method in class sklearn2pmml.preprocessing.DataFrameConstructor

getComponents() - Method in class sklearn.decomposition.BasePCA

getComponentsShape() - Method in class sklearn.decomposition.BasePCA

getComposite() - Method in class sklearn.CompositeClassifier

getComposite() - Method in class sklearn.CompositeClusterer

getComposite() - Method in class sklearn.CompositeRegressor

getComposite() - Method in class sklearn.CompositeTransformer

getConstant() - Method in class sklearn.dummy.DummyClassifier

getConstant() - Method in class sklearn.dummy.DummyRegressor

getCount() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getCounts() - Method in class sklearn2pmml.decoration.Domain

getData() - Method in class sklearn2pmml.decoration.DiscreteDomain

getDataMax() - Method in class sklearn2pmml.decoration.ContinuousDomain

getDataMaxShape() - Method in class sklearn2pmml.decoration.ContinuousDomain

getDataMin() - Method in class sklearn2pmml.decoration.ContinuousDomain

getDataMinShape() - Method in class sklearn2pmml.decoration.ContinuousDomain

getDataType() - Method in class sklearn.Composite

getDataType() - Method in class sklearn.CompositeClassifier

getDataType() - Method in class sklearn.CompositeClusterer

getDataType() - Method in class sklearn.CompositeRegressor

getDataType() - Method in class sklearn.CompositeTransformer

getDataType() - Method in class sklearn.Drop

getDataType() - Method in class sklearn.ensemble.EnsembleClassifier

getDataType() - Method in class sklearn.ensemble.EnsembleRegressor

getDataType() - Method in class sklearn.ensemble.forest.ForestClassifier

getDataType() - Method in class sklearn.ensemble.forest.ForestRegressor

getDataType() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

getDataType() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

getDataType() - Method in class sklearn.Estimator

getDataType() - Method in class sklearn.feature_extraction.text.CountVectorizer

getDataType() - Method in interface sklearn.HasType

getDataType() - Method in class sklearn.IdentityTransformer

getDataType() - Method in class sklearn.impute.MissingIndicator

getDataType() - Method in class sklearn.impute.SimpleImputer

getDataType() - Method in class sklearn.Initializer

getDataType() - Method in class sklearn.neighbors.KNeighborsClassifier

getDataType() - Method in class sklearn.neighbors.KNeighborsRegressor

getDataType() - Method in class sklearn.neighbors.NearestCentroid

getDataType() - Method in class sklearn.neighbors.NearestNeighbors

getDataType() - Method in class sklearn.pipeline.FeatureUnion

getDataType() - Method in class sklearn.preprocessing.BaseEncoder

getDataType() - Method in class sklearn.preprocessing.LabelBinarizer

getDataType() - Method in class sklearn.preprocessing.LabelEncoder

getDataType() - Method in class sklearn.preprocessing.OneHotEncoder

getDataType() - Method in class sklearn.Selector

getDataType(DataType) - Method in class sklearn.SkLearnOutlierTransformation

getDataType() - Method in class sklearn.Transformer

getDataType() - Method in class sklearn.tree.TreeClassifier

getDataType() - Method in class sklearn.tree.TreeRegressor

getDataType() - Method in class sklearn2pmml.decoration.ContinuousDomain

getDataType() - Method in class sklearn2pmml.decoration.DateDomain

getDataType() - Method in class sklearn2pmml.decoration.DateTimeDomain

getDataType() - Method in class sklearn2pmml.decoration.DiscreteDomain

getDataType() - Method in class sklearn2pmml.decoration.DomainEraser

getDataType() - Method in class sklearn2pmml.decoration.MultiDomain

getDataType() - Method in class sklearn2pmml.decoration.TransformerWrapper

getDataType() - Method in class sklearn2pmml.EstimatorProxy

getDataType() - Method in class sklearn2pmml.preprocessing.DurationTransformer

getDataType() - Method in class sklearn2pmml.preprocessing.LookupTransformer

getDataType() - Method in class sklearn2pmml.preprocessing.MultiLookupTransformer

getDataType() - Method in class sklearn2pmml.preprocessing.PatternTransformer

getDataType() - Method in class sklearn2pmml.preprocessing.SecondsSinceMidnightTransformer

getDataType() - Method in class sklearn2pmml.preprocessing.SubstringTransformer

getDataType() - Method in class sklearn2pmml.preprocessing.WordCountTransformer

getDataType() - Method in class sklearn2pmml.util.Slicer

getDecisionFunctionField() - Method in interface sklearn.HasDecisionFunctionField

getDecisionFunctionThreshold() - Method in class sklearn.ensemble.iforest.IsolationForest

getDecisionFunctionThreshold() - Method in interface sklearn.OutlierDetector

getDecisions() - Method in class sklearn2pmml.postprocessing.BusinessDecisionTransformer

getDefault() - Method in class sklearn_pandas.DataFrameMapper

getDefaultScore() - Method in class sklearn2pmml.ruleset.RuleSetClassifier

getDefaultValue() - Method in class sklearn.dummy.DummyRegressor

getDefaultValue() - Method in class sklearn.ensemble.gradient_boosting.MeanEstimator

getDefaultValue() - Method in class sklearn.ensemble.gradient_boosting.QuantileEstimator

getDefaultValue() - Method in class sklearn.ensemble.gradient_boosting.ZeroEstimator

getDefaultValue() - Method in interface sklearn.HasDefaultValue

getDefaultValue() - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

getDefaultValue() - Method in class sklearn2pmml.preprocessing.FilterLookupTransformer

getDefaultValue() - Method in class sklearn2pmml.preprocessing.LookupTransformer

getDegree() - Method in class sklearn.preprocessing.PolynomialFeatures

getDegree() - Method in class sklearn.svm.LibSVMClassifier

getDegree() - Method in class sklearn.svm.LibSVMRegressor

getDepV() - Method in class chaid.Node

getDiscrStats() - Method in class sklearn2pmml.decoration.DiscreteDomain

getDisplayName() - Method in class sklearn2pmml.decoration.Domain

getDomain(String) - Method in class org.jpmml.sklearn.SkLearnEncoder

getDomains() - Method in class sklearn2pmml.decoration.MultiDomain

getDrop() - Method in class sklearn.preprocessing.MultiOneHotEncoder

getDropIdx() - Method in class sklearn.preprocessing.MultiOneHotEncoder

getDType() - Method in class sklearn.feature_extraction.text.CountVectorizer

getDType() - Method in class sklearn.feature_extraction.text.TfidfVectorizer

getDType() - Method in class sklearn.preprocessing.BaseEncoder

getDType() - Method in class sklearn.preprocessing.KBinsDiscretizer

getDType(String, boolean) - Method in class sklearn.Transformer

getDType() - Method in class sklearn2pmml.decoration.Domain

getDType() - Method in class sklearn2pmml.preprocessing.CastTransformer

getDType() - Method in class sklearn2pmml.preprocessing.DataFrameConstructor

getDType() - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

getDualCoef() - Method in class sklearn.svm.LibSVMClassifier

getDualCoef() - Method in class sklearn.svm.LibSVMRegressor

getEncode() - Method in class sklearn.preprocessing.KBinsDiscretizer

getEnd() - Method in class sklearn2pmml.preprocessing.SubstringTransformer

getEpoch() - Method in class sklearn2pmml.preprocessing.DurationTransformer

getEstimator() - Method in class sklearn.calibration.CalibratedClassifier

getEstimator() - Method in class sklearn.ensemble.EnsembleClassifier

getEstimator() - Method in class sklearn.ensemble.EnsembleRegressor

getEstimator() - Method in class sklearn.feature_selection.SelectFromModel

getEstimator() - Method in interface sklearn.HasEstimator

getEstimator() - Method in class sklearn2pmml.ensemble.Link

getEstimator() - Method in class sklearn2pmml.EstimatorProxy

getEstimators() - Method in class sklearn.ensemble.EnsembleClassifier

getEstimators() - Method in class sklearn.ensemble.EnsembleRegressor

getEstimators() - Method in class sklearn.ensemble.forest.ForestClassifier

getEstimators() - Method in class sklearn.ensemble.forest.ForestRegressor

getEstimators() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

getEstimators() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

getEstimators() - Method in class sklearn.ensemble.stacking.StackingClassifier

getEstimators() - Method in class sklearn.ensemble.stacking.StackingRegressor

getEstimators() - Method in class sklearn.ensemble.voting.VotingClassifier

getEstimators() - Method in class sklearn.ensemble.voting.VotingRegressor

getEstimators() - Method in interface sklearn.HasEstimatorEnsemble

getEstimators() - Method in class sklearn.multiclass.OneVsRestClassifier

getEstimators() - Method in class sklearn.multioutput.ClassifierChain

getEstimators() - Method in class sklearn.multioutput.MultiOutputClassifier

getEstimators() - Method in class sklearn.multioutput.MultiOutputRegressor

getEstimators() - Method in class sklearn.multioutput.RegressorChain

getEstimators() - Method in class sklearn2pmml.ensemble.EstimatorChain

getEstimatorsFeatures() - Method in class sklearn.ensemble.bagging.BaggingClassifier

getEstimatorsFeatures() - Method in class sklearn.ensemble.bagging.BaggingRegressor

getEstimatorsFeatures() - Method in class sklearn.ensemble.iforest.IsolationForest

getEstimatorWeights() - Method in class sklearn.ensemble.weight_boosting.AdaBoostRegressor

getExplainedVariance() - Method in class sklearn.decomposition.PCA

getExpr() - Method in class sklearn2pmml.expression.ExpressionRegressor

getExpr() - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

getExpr() - Method in class sklearn2pmml.util.Evaluatable

getFeature() - Method in class sklearn.tree.Tree

getFeatureIdx() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getFeatureImportances() - Method in class sklearn.Estimator

getFeatureIndices() - Method in class sklearn.impute.MissingIndicator

getFeatureIndicesShape() - Method in class sklearn.impute.MissingIndicator

getFeatureNames() - Method in class sklearn.feature_extraction.DictVectorizer

getFeatureNamesIn() - Method in class sklearn.Composite

getFeatureNamesIn() - Method in class sklearn.CompositeClassifier

getFeatureNamesIn() - Method in class sklearn.CompositeClusterer

getFeatureNamesIn() - Method in class sklearn.CompositeRegressor

getFeatureNamesIn() - Method in class sklearn.feature_selection.SkLearnSelector

getFeatureNamesIn() - Method in interface sklearn.HasFeatureNamesIn

getFeatureNamesIn() - Method in class sklearn.SkLearnClassifier

getFeatureNamesIn() - Method in class sklearn.SkLearnClusterer

getFeatureNamesIn() - Method in class sklearn.SkLearnRegressor

getFeatureNamesIn() - Method in class sklearn.SkLearnTransformer

getFeatureNamesIn(Step) - Static method in class sklearn.StepUtil

getFeatureNamesIn() - Method in class sklearn2pmml.EstimatorProxy

getFeatures() - Method in class org.jpmml.sklearn.SkLearnEncoder

getFeatures() - Method in class sklearn_pandas.DataFrameMapper

getFeatureSizes() - Method in class sklearn.preprocessing.OneHotEncoder

getFill() - Method in class sklearn_pandas.CategoricalImputer

getFinalClassifier() - Method in class sklearn.CompositeClassifier

getFinalClusterer() - Method in class sklearn.CompositeClusterer

getFinalEstimator() - Method in class sklearn.Composite

getFinalEstimator(Class<? extends E>) - Method in class sklearn.Composite

getFinalEstimator() - Method in class sklearn.ensemble.stacking.StackingClassifier

getFinalEstimator() - Method in class sklearn.ensemble.stacking.StackingRegressor

getFinalEstimator() - Method in class sklearn.pipeline.SkLearnPipeline

getFinalEstimator(Class<? extends E>) - Method in class sklearn.pipeline.SkLearnPipeline

getFinalRegressor() - Method in class sklearn.CompositeRegressor

getFittedTransformers() - Method in class sklearn.compose.ColumnTransformer

getFitX() - Method in interface sklearn.neighbors.HasTrainingData

getFitX() - Method in class sklearn.neighbors.KNeighborsClassifier

getFitX() - Method in class sklearn.neighbors.KNeighborsRegressor

getFitX() - Method in class sklearn.neighbors.NearestCentroid

getFitX() - Method in class sklearn.neighbors.NearestNeighbors

getFitXShape() - Method in interface sklearn.neighbors.HasTrainingData

getFitXShape() - Method in class sklearn.neighbors.KNeighborsClassifier

getFitXShape() - Method in class sklearn.neighbors.KNeighborsRegressor

getFitXShape() - Method in class sklearn.neighbors.NearestCentroid

getFitXShape() - Method in class sklearn.neighbors.NearestNeighbors

getFunc() - Method in class sklearn.preprocessing.FunctionTransformer

getFunction() - Method in class sklearn2pmml.preprocessing.Aggregator

getFunction() - Method in class sklearn2pmml.preprocessing.DateTimeFormatter

getFunction() - Method in class sklearn2pmml.preprocessing.Formatter

getFunction() - Method in class sklearn2pmml.preprocessing.NumberFormatter

getFunction() - Method in class sklearn2pmml.preprocessing.StringNormalizer

getFunctionDefs() - Method in class sklearn2pmml.util.Evaluatable

getGamma() - Method in class sklearn.svm.LibSVMClassifier

getGamma() - Method in class sklearn.svm.LibSVMRegressor

getGBDT() - Method in class sklearn2pmml.ensemble.GBDTLMRegressor

getGBDT() - Method in class sklearn2pmml.ensemble.GBDTLRClassifier

getHandleUnknown() - Method in class sklearn.preprocessing.BaseEncoder

getHead() - Method in class sklearn.CompositeClassifier

getHead() - Method in class sklearn.CompositeClusterer

getHead() - Method in class sklearn.CompositeRegressor

getHead() - Method in class sklearn.CompositeTransformer

getHead(Estimator) - Static method in class sklearn.EstimatorUtil

getHead() - Method in interface sklearn.HasHead

getHead() - Method in class sklearn.pipeline.FeatureUnion

getHead() - Method in class sklearn.pipeline.SkLearnPipeline

getHead(Transformer) - Static method in class sklearn.TransformerUtil

getHeader() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getHighValue() - Method in class sklearn2pmml.decoration.ContinuousDomain

getId() - Method in interface sklearn.neighbors.HasTrainingData

getId() - Method in class sklearn.neighbors.KNeighborsClassifier

getId() - Method in class sklearn.neighbors.KNeighborsRegressor

getId() - Method in class sklearn.neighbors.NearestCentroid

getId() - Method in class sklearn.neighbors.NearestNeighbors

getIncludeBias() - Method in class sklearn.preprocessing.PolynomialFeatures

getIncludeLowest() - Method in class sklearn2pmml.preprocessing.CutTransformer

getIncreasing() - Method in class sklearn.isotonic.IsotonicRegression

getIndices() - Method in class chaid.Node

getInfrequentEnabled() - Method in class sklearn.preprocessing.MultiOneHotEncoder

getInfrequentIndices() - Method in class sklearn.preprocessing.MultiOneHotEncoder

getInit() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

getInit() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

getInteractionOnly() - Method in class sklearn.preprocessing.PolynomialFeatures

getIntercept() - Method in class sklearn.linear_model.LinearClassifier

getIntercept() - Method in class sklearn.linear_model.LinearRegressor

getIntercept() - Method in class sklearn.svm.LibSVMClassifier

getIntercept() - Method in class sklearn.svm.LibSVMRegressor

getIntercepts() - Method in class sklearn.neural_network.MLPClassifier

getIntercepts() - Method in class sklearn.neural_network.MLPRegressor

getInvalidReason() - Method in class chaid.Split

getInvalidValueReplacement() - Method in class sklearn2pmml.decoration.Domain

getInvalidValueTreatment() - Method in class sklearn2pmml.decoration.Domain

getInvalidValueTreatment() - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

getInverseFunc() - Method in class sklearn.preprocessing.FunctionTransformer

getK() - Method in class sklearn.ensemble.gradient_boosting.LossFunction

getK() - Method in class sklearn.feature_selection.SelectKBest

getKernel() - Method in class sklearn.svm.LibSVMClassifier

getKernel() - Method in class sklearn.svm.LibSVMRegressor

getLabel() - Method in class org.jpmml.sklearn.SkLearnEncoder

getLabelBinarizer() - Method in class sklearn.linear_model.ridge.RidgeClassifier

getLabelEncoder() - Method in class sklearn.LabelEncoderClassifier

getLabels() - Method in class sklearn.cluster.KMeans

getLabels() - Method in class sklearn.cluster.MiniBatchKMeans

getLabels() - Method in class sklearn2pmml.preprocessing.CutTransformer

getLambdas() - Method in class sklearn.preprocessing.PowerTransformer

getLearningRate() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

getLearningRate() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

getLeft() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getLM() - Method in class sklearn2pmml.ensemble.GBDTLMRegressor

getLoss() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

getLoss() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier

getLossFunction() - Method in class sklearn.linear_model.stochastic_gradient.SGDClassifier

getLowercase() - Method in class sklearn.feature_extraction.text.CountVectorizer

getLowValue() - Method in class sklearn2pmml.decoration.ContinuousDomain

getLR() - Method in class sklearn2pmml.ensemble.GBDTLRClassifier

getMapMissingTo() - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

getMapping() - Method in class sklearn2pmml.preprocessing.LookupTransformer

getMaxSamples() - Method in class sklearn.ensemble.iforest.IsolationForest

getMean() - Method in class sklearn.decomposition.PCA

getMean() - Method in class sklearn.ensemble.gradient_boosting.MeanEstimator

getMean() - Method in class sklearn.preprocessing.StandardScaler

getMeanShape() - Method in class sklearn.preprocessing.StandardScaler

getMethod() - Method in class sklearn.calibration.CalibratedClassifier

getMethod() - Method in class sklearn.preprocessing.PowerTransformer

getMetric() - Method in interface sklearn.neighbors.HasMetric

getMetric() - Method in class sklearn.neighbors.KNeighborsClassifier

getMetric() - Method in class sklearn.neighbors.KNeighborsRegressor

getMetric() - Method in class sklearn.neighbors.NearestCentroid

getMetric() - Method in class sklearn.neighbors.NearestNeighbors

getMin() - Method in class sklearn.preprocessing.MinMaxScaler

getMiningFunction() - Method in class sklearn.Classifier

getMiningFunction() - Method in class sklearn.Clusterer

getMiningFunction() - Method in class sklearn.Estimator

getMiningFunction(List<? extends Estimator>) - Static method in class sklearn.EstimatorUtil

getMiningFunction() - Method in class sklearn.Regressor

getMiningFunction() - Method in class sklearn2pmml.ensemble.EstimatorChain

getMiningFunction() - Method in class sklearn2pmml.ensemble.Link

getMiningFunction() - Method in class sklearn2pmml.EstimatorProxy

getMissingGoToLeft() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getMissingValueReplacement() - Method in class sklearn2pmml.decoration.Domain

getMissingValues() - Method in class sklearn.impute.MissingIndicator

getMissingValues() - Method in class sklearn.impute.SimpleImputer

getMissingValues() - Method in class sklearn.preprocessing.Imputer

getMissingValues() - Method in class sklearn2pmml.decoration.Domain

getMissingValues() - Method in class sklearn_pandas.CategoricalImputer

getMissingValueTreatment() - Method in class sklearn2pmml.decoration.Domain

getMLP() - Method in class sklearn2pmml.neural_network.MLPTransformer

getModel() - Method in class org.jpmml.sklearn.SkLearnEncoder

getMultiApplyField(Object) - Method in class sklearn.ensemble.forest.ForestClassifier

getMultiApplyField(Object) - Method in class sklearn.ensemble.forest.ForestRegressor

getMultiApplyField(Object) - Method in interface sklearn.HasMultiApplyField

getMultiApplyFields() - Method in interface sklearn.HasMultiApplyField

getMultiClass() - Method in class sklearn.linear_model.logistic.LogisticRegression

getMultiClass() - Method in class sklearn.svm.LinearSVC

getMultilabel() - Method in class sklearn.multiclass.OneVsRestClassifier

getMultioutput() - Method in class sklearn2pmml.ensemble.EstimatorChain

getName(String) - Method in class sklearn.SkLearnOutlierTransformation

getName() - Method in class sklearn2pmml.decoration.Alias

getNames() - Method in class sklearn2pmml.decoration.MultiAlias

getNativeConfiguration() - Method in interface sklearn.tree.HasTreeOptions

getNegLabel() - Method in class sklearn.preprocessing.LabelBinarizer

getNegLabel() - Method in class sklearn2pmml.preprocessing.PMMLLabelBinarizer

getNewshape() - Method in class sklearn2pmml.util.Reshaper

getNGramRange() - Method in class sklearn.feature_extraction.text.CountVectorizer

getNodeSamples() - Method in class sklearn.tree.Tree

getNorm() - Method in class sklearn.feature_extraction.text.TfidfTransformer

getNormalizationMethod() - Method in class sklearn2pmml.expression.ExpressionClassifier

getNumberOfApplyFields() - Method in class sklearn.ensemble.forest.ForestClassifier

getNumberOfApplyFields() - Method in class sklearn.ensemble.forest.ForestRegressor

getNumberOfApplyFields() - Method in interface sklearn.HasMultiApplyField

getNumberOfBins() - Method in class sklearn.ensemble.hist_gradient_boosting.BinMapper

getNumberOfBins() - Method in class sklearn.preprocessing.KBinsDiscretizer

getNumberOfEstimators(E) - Static method in class sklearn.ensemble.forest.ForestUtil

getNumberOfFeatures() - Method in class sklearn.cluster.KMeans

getNumberOfFeatures() - Method in class sklearn.Composite

getNumberOfFeatures() - Method in class sklearn.CompositeClassifier

getNumberOfFeatures() - Method in class sklearn.CompositeClusterer

getNumberOfFeatures() - Method in class sklearn.CompositeRegressor

getNumberOfFeatures() - Method in class sklearn.CompositeTransformer

getNumberOfFeatures() - Method in class sklearn.decomposition.BasePCA

getNumberOfFeatures() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

getNumberOfFeatures() - Method in class sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

getNumberOfFeatures() - Method in class sklearn.ensemble.stacking.StackingClassifier

getNumberOfFeatures() - Method in class sklearn.ensemble.stacking.StackingRegressor

getNumberOfFeatures() - Method in class sklearn.ensemble.voting.VotingClassifier

getNumberOfFeatures() - Method in class sklearn.ensemble.voting.VotingRegressor

getNumberOfFeatures() - Method in class sklearn.ensemble.weight_boosting.AdaBoostRegressor

getNumberOfFeatures() - Method in class sklearn.Estimator

getNumberOfFeatures() - Method in class sklearn.feature_extraction.text.CountVectorizer

getNumberOfFeatures() - Method in class sklearn.feature_selection.SelectFromModel

getNumberOfFeatures() - Method in class sklearn.feature_selection.SelectKBest

getNumberOfFeatures() - Method in class sklearn.feature_selection.SkLearnSelector

getNumberOfFeatures() - Method in interface sklearn.HasNumberOfFeatures

getNumberOfFeatures() - Method in class sklearn.impute.MissingIndicator

getNumberOfFeatures() - Method in class sklearn.impute.SimpleImputer

getNumberOfFeatures() - Method in class sklearn.Initializer

getNumberOfFeatures() - Method in class sklearn.linear_model.LinearClassifier

getNumberOfFeatures() - Method in class sklearn.linear_model.LinearRegressor

getNumberOfFeatures() - Method in class sklearn.multiclass.OneVsRestClassifier

getNumberOfFeatures() - Method in class sklearn.naive_bayes.GaussianNB

getNumberOfFeatures() - Method in class sklearn.neighbors.KNeighborsClassifier

getNumberOfFeatures() - Method in class sklearn.neighbors.KNeighborsRegressor

getNumberOfFeatures() - Method in class sklearn.neighbors.NearestCentroid

getNumberOfFeatures() - Method in class sklearn.neighbors.NearestNeighbors

getNumberOfFeatures() - Method in class sklearn.neural_network.MLPClassifier

getNumberOfFeatures() - Method in class sklearn.neural_network.MLPRegressor

getNumberOfFeatures(List<? extends HasArray>) - Static method in class sklearn.neural_network.MultilayerPerceptronUtil

getNumberOfFeatures() - Method in class sklearn.preprocessing.MaxAbsScaler

getNumberOfFeatures() - Method in class sklearn.preprocessing.MinMaxScaler

getNumberOfFeatures() - Method in class sklearn.preprocessing.PolynomialFeatures

getNumberOfFeatures() - Method in class sklearn.preprocessing.RobustScaler

getNumberOfFeatures() - Method in class sklearn.preprocessing.StandardScaler

getNumberOfFeatures(List<? extends Step>) - Static method in class sklearn.StepUtil

getNumberOfFeatures() - Method in class sklearn.svm.LibSVMClassifier

getNumberOfFeatures() - Method in class sklearn.svm.LibSVMRegressor

getNumberOfFeatures() - Method in class sklearn.Transformer

getNumberOfFeatures() - Method in class sklearn2pmml.decoration.ContinuousDomain

getNumberOfFeatures() - Method in class sklearn2pmml.decoration.DiscreteDomain

getNumberOfFeatures() - Method in class sklearn2pmml.decoration.TemporalDomain

getNumberOfFeatures() - Method in class sklearn2pmml.decoration.TransformerWrapper

getNumberOfFeatures() - Method in class sklearn2pmml.EstimatorProxy

getNumberOfFeatures() - Method in class sklearn2pmml.feature_selection.SelectUnique

getNumberOfFeatures() - Method in class sklearn2pmml.preprocessing.Aggregator

getNumberOfFeatures() - Method in class sklearn2pmml.SelectorProxy

getNumberOfFeatures() - Method in class sklearn2pmml.util.Reshaper

getNumberOfInputFeatures() - Method in class sklearn.preprocessing.PolynomialFeatures

getNumberOfNeighbors() - Method in interface sklearn.neighbors.HasNumberOfNeighbors

getNumberOfNeighbors() - Method in class sklearn.neighbors.KNeighborsClassifier

getNumberOfNeighbors() - Method in class sklearn.neighbors.KNeighborsRegressor

getNumberOfNeighbors() - Method in class sklearn.neighbors.NearestCentroid

getNumberOfNeighbors() - Method in class sklearn.neighbors.NearestNeighbors

getNumberOfOutputFeatures() - Method in class sklearn.preprocessing.PolynomialFeatures

getNumberOfOutputs() - Method in class sklearn.CompositeClassifier

getNumberOfOutputs() - Method in class sklearn.CompositeClusterer

getNumberOfOutputs() - Method in class sklearn.CompositeRegressor

getNumberOfOutputs() - Method in class sklearn.Estimator

getNumberOfOutputs() - Method in interface sklearn.HasNumberOfOutputs

getNumberOfOutputs() - Method in class sklearn.linear_model.LinearRegressor

getNumberOfOutputs() - Method in class sklearn.multioutput.ClassifierChain

getNumberOfOutputs() - Method in class sklearn.multioutput.MultiOutputClassifier

getNumberOfOutputs() - Method in class sklearn.multioutput.MultiOutputRegressor

getNumberOfOutputs() - Method in class sklearn.multioutput.RegressorChain

getNumberOfOutputs() - Method in class sklearn.neighbors.KNeighborsClassifier

getNumberOfOutputs() - Method in class sklearn.neighbors.KNeighborsRegressor

getNumberOfOutputs(E) - Static method in class sklearn.neighbors.KNeighborsUtil

getNumberOfOutputs() - Method in class sklearn.neighbors.NearestCentroid

getNumberOfOutputs() - Method in class sklearn.neighbors.NearestNeighbors

getNumberOfOutputs() - Method in class sklearn2pmml.ensemble.EstimatorChain

getNumberOfOutputs() - Method in class sklearn2pmml.EstimatorProxy

getNumberOfTreesPerIteration() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier

getNumericInfo() - Method in class sklearn2pmml.decoration.ContinuousDomain

getOffset() - Method in class sklearn.ensemble.iforest.IsolationForest

getOffset() - Method in class sklearn.linear_model.stochastic_gradient.SGDOneClassSVM

getOHE() - Method in class sklearn2pmml.ensemble.GBDTLMRegressor

getOHE() - Method in class sklearn2pmml.ensemble.GBDTLRClassifier

getOption(String, Object) - Method in class sklearn.Estimator

getOptionalDType(String, boolean) - Method in class sklearn.Transformer

getOpType() - Method in class sklearn.Composite

getOpType() - Method in class sklearn.CompositeClassifier

getOpType() - Method in class sklearn.CompositeClusterer

getOpType() - Method in class sklearn.CompositeRegressor

getOpType() - Method in class sklearn.CompositeTransformer

getOpType() - Method in class sklearn.Drop

getOpType() - Method in class sklearn.ensemble.EnsembleClassifier

getOpType() - Method in class sklearn.ensemble.EnsembleRegressor

getOpType() - Method in class sklearn.Estimator

getOpType() - Method in class sklearn.feature_extraction.text.CountVectorizer

getOpType() - Method in interface sklearn.HasType

getOpType() - Method in class sklearn.IdentityTransformer

getOpType() - Method in class sklearn.impute.MissingIndicator

getOpType() - Method in class sklearn.impute.SimpleImputer

getOpType() - Method in class sklearn.Initializer

getOpType() - Method in class sklearn.pipeline.FeatureUnion

getOpType() - Method in class sklearn.preprocessing.BaseEncoder

getOpType() - Method in class sklearn.preprocessing.LabelBinarizer

getOpType() - Method in class sklearn.preprocessing.LabelEncoder

getOpType() - Method in class sklearn.preprocessing.OneHotEncoder

getOpType() - Method in class sklearn.Selector

getOpType(OpType) - Method in class sklearn.SkLearnOutlierTransformation

getOpType() - Method in class sklearn.Transformer

getOpType() - Method in class sklearn2pmml.decoration.CategoricalDomain

getOpType() - Method in class sklearn2pmml.decoration.ContinuousDomain

getOpType() - Method in class sklearn2pmml.decoration.DomainEraser

getOpType() - Method in class sklearn2pmml.decoration.MultiDomain

getOpType() - Method in class sklearn2pmml.decoration.OrdinalDomain

getOpType() - Method in class sklearn2pmml.decoration.TransformerWrapper

getOpType() - Method in class sklearn2pmml.EstimatorProxy

getOpType() - Method in class sklearn2pmml.preprocessing.LookupTransformer

getOpType() - Method in class sklearn2pmml.preprocessing.PatternTransformer

getOpType() - Method in class sklearn2pmml.preprocessing.SubstringTransformer

getOpType() - Method in class sklearn2pmml.preprocessing.WordCountTransformer

getOpType() - Method in class sklearn2pmml.util.Slicer

getOrder() - Method in class sklearn.multioutput.ClassifierChain

getOrder() - Method in class sklearn.multioutput.RegressorChain

getOrGenerateFeatureNames(Step) - Static method in class sklearn.StepUtil

getOutlierField() - Method in interface sklearn.HasOutlierField

getOutlierTreatment() - Method in class sklearn2pmml.decoration.ContinuousDomain

getOutOfBounds() - Method in class sklearn.isotonic.IsotonicRegression

getP() - Method in interface sklearn.neighbors.HasMetric

getP() - Method in class sklearn.neighbors.KNeighborsClassifier

getP() - Method in class sklearn.neighbors.KNeighborsRegressor

getP() - Method in class sklearn.neighbors.NearestCentroid

getP() - Method in class sklearn.neighbors.NearestNeighbors

getPassthrough() - Method in class sklearn.ensemble.stacking.StackingClassifier

getPassthrough() - Method in class sklearn.ensemble.stacking.StackingRegressor

getPattern() - Method in class sklearn2pmml.preprocessing.Formatter

getPattern() - Method in class sklearn2pmml.preprocessing.PatternTransformer

getPipeline() - Method in class sklearn2pmml.preprocessing.WordCountTransformer

getPMML() - Method in class org.jpmml.sklearn.testing.SkLearnEncoderBatch

getPMMLFeatureImportances() - Method in class sklearn.Estimator

getPMMLFeatureImportances() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getPMMLFunction() - Method in class sklearn2pmml.preprocessing.DaysSinceYearTransformer

getPMMLFunction() - Method in class sklearn2pmml.preprocessing.DurationTransformer

getPMMLFunction() - Method in class sklearn2pmml.preprocessing.SecondsSinceYearTransformer

getPMMLName() - Method in class sklearn.Step

getPMMLOptions() - Method in class sklearn.Estimator

getPMMLOptions() - Method in interface sklearn.HasPMMLOptions

getPMMLOptions() - Method in class sklearn.pipeline.SkLearnPipeline

getPMMLSegmentId() - Method in class sklearn.Estimator

getPosLabel() - Method in class sklearn.preprocessing.LabelBinarizer

getPosLabel() - Method in class sklearn2pmml.preprocessing.PMMLLabelBinarizer

getPower() - Method in class sklearn2pmml.preprocessing.PowerFunctionTransformer

getPrecision() - Method in class sklearn2pmml.pipeline.Verification

getPredicate() - Method in class org.jpmml.sklearn.SkLearnEncoder

getPredictField() - Method in class sklearn.Clusterer

getPredictField() - Method in class sklearn.CompositeClusterer

getPredictField() - Method in interface sklearn.HasPredictField

getPredictors() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier

getPredictors() - Method in class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingRegressor

getPredictProbaTransformer() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getPredictTransformer() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getPreprocessor() - Method in class sklearn.feature_extraction.text.CountVectorizer

getPrior() - Method in class sklearn.ensemble.gradient_boosting.LogOddsEstimator

getPriorProbability(int) - Method in class sklearn.dummy.DummyClassifier

getPriorProbability(int) - Method in class sklearn.ensemble.gradient_boosting.LogOddsEstimator

getPriorProbability(int) - Method in class sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator

getPriorProbability(int) - Method in class sklearn.ensemble.gradient_boosting.ZeroEstimator

getPriorProbability(int) - Method in interface sklearn.HasPriorProbability

getPriors() - Method in class sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator

getProbabilityValues() - Method in class sklearn2pmml.pipeline.Verification

getProbabilityValuesShape() - Method in class sklearn2pmml.pipeline.Verification

getQuantile() - Method in class sklearn.ensemble.gradient_boosting.QuantileEstimator

getRawLeftCatBitsets() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getRegressor() - Method in class sklearn.compose.TransformedTargetRegressor

getReplacement() - Method in class sklearn2pmml.preprocessing.ReplaceTransformer

getRepr() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getRight() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getRight() - Method in class sklearn2pmml.preprocessing.CutTransformer

getRules() - Method in class sklearn2pmml.ruleset.RuleSetClassifier

getScale() - Method in class sklearn.preprocessing.MaxAbsScaler

getScale() - Method in class sklearn.preprocessing.MinMaxScaler

getScale() - Method in class sklearn.preprocessing.RobustScaler

getScaler() - Method in class sklearn.preprocessing.PowerTransformer

getScaleShape() - Method in class sklearn.preprocessing.MaxAbsScaler

getScaleShape() - Method in class sklearn.preprocessing.MinMaxScaler

getScaleShape() - Method in class sklearn.preprocessing.RobustScaler

getScores() - Method in class sklearn.feature_selection.SelectKBest

getScoresShape() - Method in class sklearn.feature_selection.SelectKBest

getSeparator() - Method in class sklearn.feature_extraction.DictVectorizer

getSeparator() - Method in class sklearn2pmml.preprocessing.ConcatTransformer

getSigma() - Method in class sklearn.naive_bayes.GaussianNB

getSkLearnFeatureNamesIn() - Method in class sklearn.Step

getSkLearnVersion() - Method in class sklearn.Step

getSolver() - Method in class sklearn.linear_model.logistic.LogisticRegression

getSplit() - Method in class chaid.Node

getSplitMap() - Method in class chaid.Split

getSplits() - Method in class chaid.Split

getStackMethod() - Method in class sklearn.ensemble.stacking.StackingClassifier

getStackMethod() - Method in class sklearn.ensemble.stacking.StackingRegressor

getStandardize() - Method in class sklearn.preprocessing.PowerTransformer

getStart() - Method in class sklearn2pmml.util.Slicer

getStatistics() - Method in class sklearn.impute.SimpleImputer

getStatistics() - Method in class sklearn.preprocessing.Imputer

getStatisticsShape() - Method in class sklearn.impute.SimpleImputer

getStd() - Method in class sklearn.preprocessing.StandardScaler

getStdShape() - Method in class sklearn.preprocessing.StandardScaler

getStep() - Method in class sklearn2pmml.util.Slicer

getSteps() - Method in class sklearn.pipeline.SkLearnPipeline

getSteps() - Method in class sklearn2pmml.ensemble.EstimatorChain

getSteps() - Method in class sklearn2pmml.ensemble.SelectFirstClassifier

getSteps() - Method in class sklearn2pmml.ensemble.SelectFirstRegressor

getSteps() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getSteps() - Method in class sklearn_pandas.TransformerPipeline

getStop() - Method in class sklearn2pmml.util.Slicer

getStopWords() - Method in class sklearn.feature_extraction.text.CountVectorizer

getStrategy() - Method in class sklearn.dummy.DummyClassifier

getStrategy() - Method in class sklearn.impute.SimpleImputer

getStripAccents() - Method in class sklearn.feature_extraction.text.CountVectorizer

getSublinearTf() - Method in class sklearn.feature_extraction.text.TfidfTransformer

getSupport() - Method in class sklearn.svm.LibSVMClassifier

getSupport() - Method in class sklearn.svm.LibSVMRegressor

getSupportMask() - Method in class sklearn.feature_selection.SelectFromModel

getSupportMask() - Method in class sklearn.feature_selection.SelectKBest

getSupportMask() - Method in class sklearn.feature_selection.SkLearnSelector

getSupportMask() - Method in class sklearn.Selector

getSupportMask() - Method in class sklearn2pmml.feature_selection.SelectUnique

getSupportMask() - Method in class sklearn2pmml.SelectorProxy

getSupportMaskShape() - Method in class sklearn2pmml.feature_selection.SelectUnique

getSupportMaskShape() - Method in class sklearn2pmml.SelectorProxy

getSupportSizes() - Method in class sklearn.svm.LibSVMClassifier

getSupportVectors() - Method in class sklearn.svm.LibSVMClassifier

getSupportVectors() - Method in class sklearn.svm.LibSVMRegressor

getSupportVectorsShape() - Method in class sklearn.svm.LibSVMClassifier

getSupportVectorsShape() - Method in class sklearn.svm.LibSVMRegressor

getTargetFields() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getTargetValues() - Method in class sklearn2pmml.pipeline.Verification

getTargetValuesShape() - Method in class sklearn2pmml.pipeline.Verification

getTheta() - Method in class sklearn.naive_bayes.GaussianNB

getThetaShape() - Method in class sklearn.naive_bayes.GaussianNB

getThreshold() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getThreshold() - Method in class sklearn.ensemble.iforest.IsolationForest

getThreshold() - Method in class sklearn.feature_selection.SelectFromModel

getThreshold() - Method in class sklearn.preprocessing.Binarizer

getThreshold() - Method in class sklearn.tree.Tree

getTokenizer() - Method in class sklearn.feature_extraction.text.CountVectorizer

getTokenPattern() - Method in class sklearn.feature_extraction.text.CountVectorizer

getTransformer() - Method in class sklearn.compose.TransformedTargetRegressor

getTransformer() - Method in class sklearn.feature_extraction.text.TfidfVectorizer

getTransformer() - Method in class sklearn2pmml.decoration.TransformerWrapper

getTransformer() - Method in class sklearn2pmml.postprocessing.BusinessDecisionTransformer

getTransformerList() - Method in class sklearn.pipeline.FeatureUnion

getTransformerOutputLayer() - Method in class sklearn2pmml.neural_network.MLPTransformer

getTransformers() - Method in class sklearn.Composite

getTransformers() - Method in class sklearn.pipeline.FeatureUnion

getTransformers() - Method in class sklearn.pipeline.SkLearnPipeline

getTree() - Method in interface sklearn.tree.HasTree

getTree() - Method in class sklearn.tree.TreeClassifier

getTree() - Method in class sklearn.tree.TreeRegressor

getTree() - Method in class sklearn2pmml.tree.CHAIDClassifier

getTree() - Method in class sklearn2pmml.tree.CHAIDRegressor

getTrimBlanks() - Method in class sklearn2pmml.preprocessing.StringNormalizer

getUnknownValue() - Method in class sklearn.preprocessing.OrdinalEncoder

getUseIdf() - Method in class sklearn.feature_extraction.text.TfidfTransformer

getValues() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

getValues() - Method in class sklearn.preprocessing.OneHotEncoder

getValues() - Method in class sklearn.tree.Tree

getVerification() - Method in class sklearn2pmml.pipeline.PMMLPipeline

getVocabulary() - Method in class sklearn.feature_extraction.DictVectorizer

getVocabulary() - Method in class sklearn.feature_extraction.text.CountVectorizer

getVoting() - Method in class sklearn.ensemble.voting.VotingClassifier

getWeight(int) - Method in class sklearn.feature_extraction.text.TfidfTransformer

getWeights() - Method in class sklearn.ensemble.voting.VotingClassifier

getWeights() - Method in class sklearn.ensemble.voting.VotingRegressor

getWeights() - Method in class sklearn.neighbors.KNeighborsClassifier

getWeights() - Method in class sklearn.neighbors.KNeighborsRegressor

getWhiten() - Method in class sklearn.decomposition.PCA

getWithCentering() - Method in class sklearn.preprocessing.RobustScaler

getWithData() - Method in class sklearn2pmml.decoration.Domain

getWithMean() - Method in class sklearn.preprocessing.StandardScaler

getWithScaling() - Method in class sklearn.preprocessing.RobustScaler

getWithStatistics() - Method in class sklearn2pmml.decoration.Domain

getWithStd() - Method in class sklearn.preprocessing.StandardScaler

getWordRE() - Method in class sklearn2pmml.feature_extraction.text.Matcher

getWordSeparatorRE() - Method in class sklearn2pmml.feature_extraction.text.Splitter

getXThresholds() - Method in class sklearn.isotonic.IsotonicRegression

getY() - Method in interface sklearn.neighbors.HasTrainingData

getY() - Method in class sklearn.neighbors.KNeighborsClassifier

getY() - Method in class sklearn.neighbors.KNeighborsRegressor

getY() - Method in class sklearn.neighbors.NearestCentroid

getY() - Method in class sklearn.neighbors.NearestNeighbors

getYShape() - Method in interface sklearn.neighbors.HasTrainingData

getYShape() - Method in class sklearn.neighbors.KNeighborsClassifier

getYShape() - Method in class sklearn.neighbors.KNeighborsRegressor

getYShape() - Method in class sklearn.neighbors.NearestCentroid

getYShape() - Method in class sklearn.neighbors.NearestNeighbors

getYThresholds() - Method in class sklearn.isotonic.IsotonicRegression

getZeroThreshold() - Method in class sklearn2pmml.pipeline.Verification

GradientBoostingClassifier - Class in sklearn.ensemble.gradient_boosting

GradientBoostingClassifier(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

GradientBoostingRegressor - Class in sklearn.ensemble.gradient_boosting

GradientBoostingRegressor(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

GradientBoostingUtil - Class in sklearn.ensemble.gradient_boosting

H

HalfBinomialLoss - Class in sklearn.loss

HalfBinomialLoss(String, String) - Constructor for class sklearn.loss.HalfBinomialLoss

HalfMultinomialLoss - Class in sklearn.loss

HalfMultinomialLoss(String, String) - Constructor for class sklearn.loss.HalfMultinomialLoss

HasApplyField - Interface in sklearn

HasClasses - Interface in sklearn

HasClassifierOptions - Interface in sklearn

HasDecisionFunctionField - Interface in sklearn

HasDefaultValue - Interface in sklearn

HasEstimator<E extends Estimator> - Interface in sklearn

HasEstimatorEnsemble<E extends Estimator> - Interface in sklearn

hasFeatureImportances() - Method in class sklearn.Estimator

HasFeatureNamesIn - Interface in sklearn

hasFinalEstimator() - Method in class sklearn.Composite

hasFinalEstimator() - Method in class sklearn.pipeline.SkLearnPipeline

HasHead - Interface in sklearn

HasMetric - Interface in sklearn.neighbors

hasModel() - Method in class org.jpmml.sklearn.SkLearnEncoder

HasMultiApplyField - Interface in sklearn

HasNumberOfFeatures - Interface in sklearn

HasNumberOfNeighbors - Interface in sklearn.neighbors

HasNumberOfOutputs - Interface in sklearn

HasOutlierField - Interface in sklearn

HasPMMLOptions<E> - Interface in sklearn

HasPredictField - Interface in sklearn

HasPriorProbability - Interface in sklearn

hasProbabilityDistribution() - Method in class sklearn.Classifier

hasProbabilityDistribution() - Method in class sklearn.CompositeClassifier

hasProbabilityDistribution() - Method in class sklearn.linear_model.ridge.RidgeClassifier

hasProbabilityDistribution() - Method in class sklearn.linear_model.stochastic_gradient.SGDClassifier

hasProbabilityDistribution() - Method in class sklearn.neighbors.KNeighborsClassifier

hasProbabilityDistribution() - Method in class sklearn.neighbors.NearestCentroid

hasProbabilityDistribution() - Method in class sklearn.svm.LibSVMClassifier

hasProbabilityDistribution() - Method in class sklearn.svm.LinearSVC

hasProbabilityDistribution() - Method in class sklearn2pmml.ensemble.GBDTLRClassifier

hasProbabilityDistribution() - Method in class sklearn2pmml.ensemble.SelectFirstClassifier

hasProbabilityDistribution() - Method in class sklearn2pmml.ruleset.RuleSetClassifier

hasProbabilityValues() - Method in class sklearn2pmml.pipeline.Verification

HasSkLearnOptions - Interface in org.jpmml.sklearn

HasTrainingData - Interface in sklearn.neighbors

hasTransformers() - Method in class sklearn.Composite

hasTransformers() - Method in class sklearn.pipeline.SkLearnPipeline

HasTree - Interface in sklearn.tree

HasTreeOptions - Interface in sklearn.tree

HasType - Interface in sklearn

Hinge - Class in sklearn.linear_model.stochastic_gradient

Hinge(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.Hinge

HistGradientBoostingClassifier - Class in sklearn.ensemble.hist_gradient_boosting

HistGradientBoostingClassifier(String, String) - Constructor for class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingClassifier

HistGradientBoostingRegressor - Class in sklearn.ensemble.hist_gradient_boosting

HistGradientBoostingRegressor(String, String) - Constructor for class sklearn.ensemble.hist_gradient_boosting.HistGradientBoostingRegressor

HistGradientBoostingUtil - Class in sklearn.ensemble.hist_gradient_boosting

I

IdentityTransformer - Class in sklearn

IdentityTransformer(String, String) - Constructor for class sklearn.IdentityTransformer

Imputer - Class in sklearn.preprocessing

Imputer(String, String) - Constructor for class sklearn.preprocessing.Imputer

ImputerUtil - Class in sklearn.impute

IncrementalPCA - Class in sklearn.decomposition

IncrementalPCA(String, String) - Constructor for class sklearn.decomposition.IncrementalPCA

initActiveFields(Step) - Method in class sklearn.pipeline.SkLearnPipeline

initActiveFields(Step) - Method in class sklearn2pmml.pipeline.PMMLPipeline

initFeatures(Step, List<String>) - Method in class org.jpmml.sklearn.SkLearnEncoder

initFeatures(Estimator, List<String>, SkLearnEncoder) - Method in class sklearn.pipeline.SkLearnPipeline

initializeFeatures(SkLearnEncoder) - Method in class sklearn.compose.ColumnTransformer

initializeFeatures(SkLearnEncoder) - Method in class sklearn.feature_extraction.DictVectorizer

initializeFeatures(SkLearnEncoder) - Method in class sklearn.Initializer

initializeFeatures(SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.DataFrameConstructor

initializeFeatures(SkLearnEncoder) - Method in class sklearn_pandas.DataFrameMapper

Initializer - Class in sklearn

Initializer(String, String) - Constructor for class sklearn.Initializer

InitializerUtil - Class in sklearn

initLabel(Estimator, List<String>) - Method in class org.jpmml.sklearn.SkLearnEncoder

initLabel(Estimator, List<String>, SkLearnEncoder) - Method in class sklearn.pipeline.SkLearnPipeline

initOnce() - Static method in class org.jpmml.sklearn.SkLearnUtil

initTargetFields(Estimator) - Method in class sklearn.pipeline.SkLearnPipeline

initTargetFields(Estimator) - Method in class sklearn2pmml.pipeline.PMMLPipeline

INSTANCE - Static variable in class sklearn.Drop

INSTANCE - Static variable in class sklearn.PassThrough

InvalidSplitReason - Class in chaid

InvalidSplitReason(String, String) - Constructor for class chaid.InvalidSplitReason

isCategorical() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

isFinalResult() - Method in class sklearn.SkLearnOutlierTransformation

isFrozen(String) - Method in class org.jpmml.sklearn.SkLearnEncoder

isLeaf() - Method in class sklearn.ensemble.hist_gradient_boosting.TreePredictor

IsolationForest - Class in sklearn.ensemble.iforest

IsolationForest(String, String) - Constructor for class sklearn.ensemble.iforest.IsolationForest

IsotonicRegression - Class in sklearn.isotonic

IsotonicRegression(String, String) - Constructor for class sklearn.isotonic.IsotonicRegression

isPrediction(OutputField) - Static method in class org.jpmml.sklearn.SkLearnEncoder

isSupervised() - Method in class sklearn.CompositeClassifier

isSupervised() - Method in class sklearn.CompositeClusterer

isSupervised() - Method in class sklearn.CompositeRegressor

isSupervised() - Method in class sklearn.ensemble.iforest.IsolationForest

isSupervised() - Method in class sklearn.Estimator

isSupervised() - Method in class sklearn.linear_model.stochastic_gradient.SGDOneClassSVM

isSupervised() - Method in class sklearn.svm.OneClassSVM

isSupervised() - Method in class sklearn2pmml.ensemble.EstimatorChain

isSupervised() - Method in class sklearn2pmml.EstimatorProxy

K

KBinsDiscretizer - Class in sklearn.preprocessing

KBinsDiscretizer(String, String) - Constructor for class sklearn.preprocessing.KBinsDiscretizer

KMeans - Class in sklearn.cluster

KMeans(String, String) - Constructor for class sklearn.cluster.KMeans

KNeighborsClassifier - Class in sklearn.neighbors

KNeighborsClassifier(String, String) - Constructor for class sklearn.neighbors.KNeighborsClassifier

KNeighborsRegressor - Class in sklearn.neighbors

KNeighborsRegressor(String, String) - Constructor for class sklearn.neighbors.KNeighborsRegressor

KNeighborsUtil - Class in sklearn.neighbors

L

LabelBinarizer - Class in sklearn.preprocessing

LabelBinarizer(String, String) - Constructor for class sklearn.preprocessing.LabelBinarizer

LabelEncoder - Class in sklearn.preprocessing

LabelEncoder(String, String) - Constructor for class sklearn.preprocessing.LabelEncoder

LabelEncoderClassifier - Class in sklearn

LabelEncoderClassifier(String, String) - Constructor for class sklearn.LabelEncoderClassifier

LibSVMClassifier - Class in sklearn.svm

LibSVMClassifier(String, String) - Constructor for class sklearn.svm.LibSVMClassifier

LibSVMRegressor - Class in sklearn.svm

LibSVMRegressor(String, String) - Constructor for class sklearn.svm.LibSVMRegressor

LinearClassifier - Class in sklearn.linear_model

LinearClassifier(String, String) - Constructor for class sklearn.linear_model.LinearClassifier

LinearDiscriminantAnalysis - Class in sklearn.discriminant_analysis

LinearDiscriminantAnalysis(String, String) - Constructor for class sklearn.discriminant_analysis.LinearDiscriminantAnalysis

LinearRegressor - Class in sklearn.linear_model

LinearRegressor(String, String) - Constructor for class sklearn.linear_model.LinearRegressor

LinearSVC - Class in sklearn.svm

LinearSVC(String, String) - Constructor for class sklearn.svm.LinearSVC

Link - Class in sklearn2pmml.ensemble

Link(String, String) - Constructor for class sklearn2pmml.ensemble.Link

Log - Class in sklearn.linear_model.stochastic_gradient

Log(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.Log

LogisticRegression - Class in sklearn.linear_model.logistic

LogisticRegression(String, String) - Constructor for class sklearn.linear_model.logistic.LogisticRegression

LogOddsEstimator - Class in sklearn.ensemble.gradient_boosting

LogOddsEstimator(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.LogOddsEstimator

LookupTransformer - Class in sklearn2pmml.preprocessing

LookupTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.LookupTransformer

LossFunction - Class in sklearn.ensemble.gradient_boosting

LossFunction(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.LossFunction

LossFunction - Class in sklearn.linear_model.stochastic_gradient

LossFunction(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.LossFunction

M

Matcher - Class in sklearn2pmml.feature_extraction.text

Matcher() - Constructor for class sklearn2pmml.feature_extraction.text.Matcher

Matcher(String, String) - Constructor for class sklearn2pmml.feature_extraction.text.Matcher

MatchesTransformer - Class in sklearn2pmml.preprocessing

MatchesTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.MatchesTransformer

MaxAbsScaler - Class in sklearn.preprocessing

MaxAbsScaler(String, String) - Constructor for class sklearn.preprocessing.MaxAbsScaler

MeanEstimator - Class in sklearn.ensemble.gradient_boosting

MeanEstimator(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.MeanEstimator

MiniBatchKMeans - Class in sklearn.cluster

MiniBatchKMeans(String, String) - Constructor for class sklearn.cluster.MiniBatchKMeans

MinMaxScaler - Class in sklearn.preprocessing

MinMaxScaler(String, String) - Constructor for class sklearn.preprocessing.MinMaxScaler

MissingIndicator - Class in sklearn.impute

MissingIndicator(String, String) - Constructor for class sklearn.impute.MissingIndicator

MLPClassifier - Class in sklearn.neural_network

MLPClassifier(String, String) - Constructor for class sklearn.neural_network.MLPClassifier

MLPRegressor - Class in sklearn.neural_network

MLPRegressor(String, String) - Constructor for class sklearn.neural_network.MLPRegressor

MLPTransformer - Class in sklearn2pmml.neural_network

MLPTransformer(String, String) - Constructor for class sklearn2pmml.neural_network.MLPTransformer

ModifiedHuber - Class in sklearn.linear_model.stochastic_gradient

ModifiedHuber(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.ModifiedHuber

MultiAlias - Class in sklearn2pmml.decoration

MultiAlias(String, String) - Constructor for class sklearn2pmml.decoration.MultiAlias

MultiDomain - Class in sklearn2pmml.decoration

MultiDomain(String, String) - Constructor for class sklearn2pmml.decoration.MultiDomain

MultilayerPerceptronUtil - Class in sklearn.neural_network

MultiLookupTransformer - Class in sklearn2pmml.preprocessing

MultiLookupTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.MultiLookupTransformer

MultinomialDeviance - Class in sklearn.ensemble.gradient_boosting

MultinomialDeviance(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.MultinomialDeviance

MultiOneHotEncoder - Class in sklearn.preprocessing

MultiOneHotEncoder(String, String) - Constructor for class sklearn.preprocessing.MultiOneHotEncoder

MultiOutputClassifier - Class in sklearn.multioutput

MultiOutputClassifier(String, String) - Constructor for class sklearn.multioutput.MultiOutputClassifier

MultiOutputRegressor - Class in sklearn.multioutput

MultiOutputRegressor(String, String) - Constructor for class sklearn.multioutput.MultiOutputRegressor

MultiOutputUtil - Class in sklearn.multioutput

N

N_FEATURES - Static variable in interface sklearn.SkLearnFields

N_FEATURES_IN - Static variable in interface sklearn.SkLearnFields

N_OUTPUTS - Static variable in interface sklearn.SkLearnFields

names() - Method in class sklearn.linear_model.glm.DistributionBoundary

NearestCentroid - Class in sklearn.neighbors

NearestCentroid(String, String) - Constructor for class sklearn.neighbors.NearestCentroid

NearestNeighbors - Class in sklearn.neighbors

NearestNeighbors(String, String) - Constructor for class sklearn.neighbors.NearestNeighbors

Node - Class in chaid

Node(String, String) - Constructor for class chaid.Node

NODE_ID - Static variable in interface org.jpmml.sklearn.FieldNames

NominalColumn - Class in chaid

NominalColumn(String, String) - Constructor for class chaid.NominalColumn

NumberFormatter - Class in sklearn2pmml.preprocessing

NumberFormatter(String, String) - Constructor for class sklearn2pmml.preprocessing.NumberFormatter

O

OneClassSVM - Class in sklearn.svm

OneClassSVM(String, String) - Constructor for class sklearn.svm.OneClassSVM

OneHotEncoder - Class in sklearn.preprocessing

OneHotEncoder(String, String) - Constructor for class sklearn.preprocessing.OneHotEncoder

OneVsRestClassifier - Class in sklearn.multiclass

OneVsRestClassifier(String, String) - Constructor for class sklearn.multiclass.OneVsRestClassifier

OPTION_CLASS_EXTENSIONS - Static variable in interface sklearn.HasClassifierOptions

OPTION_COMPACT - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_FLAT - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_NODE_EXTENSIONS - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_NODE_ID - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_NODE_SCORE - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_NUMERIC - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_PRUNE - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_WINNER_ID - Static variable in interface sklearn.tree.HasTreeOptions

OrdinalDomain - Class in sklearn2pmml.decoration

OrdinalDomain(String, String) - Constructor for class sklearn2pmml.decoration.OrdinalDomain

OrdinalEncoder - Class in sklearn.preprocessing

OrdinalEncoder(String, String) - Constructor for class sklearn.preprocessing.OrdinalEncoder

org.jpmml.sklearn - package org.jpmml.sklearn

org.jpmml.sklearn.testing - package org.jpmml.sklearn.testing

OutlierDetector - Interface in sklearn

OutlierDetectorUtil - Class in sklearn

P

parseActivationFunction(String) - Static method in class sklearn.neural_network.MultilayerPerceptronUtil

parseInvalidValueTreatment(String) - Static method in class sklearn2pmml.decoration.DomainUtil

parseMapping(List<String>, String, Map<?, ?>) - Method in class sklearn2pmml.preprocessing.LookupTransformer

parseMapping(List<String>, String, Map<?, ?>) - Method in class sklearn2pmml.preprocessing.MultiLookupTransformer

parseMissingValueTreatment(String) - Static method in class sklearn2pmml.decoration.DomainUtil

parseOutlierTreatment(String) - Static method in class sklearn.isotonic.IsotonicRegression

parseOutlierTreatment(String) - Static method in class sklearn2pmml.decoration.DomainUtil

parseVersion(String) - Static method in class sklearn.VersionUtil

PassThrough - Class in sklearn

PASSTHROUGH - Static variable in interface sklearn.SkLearnSteps

PatternTransformer - Class in sklearn2pmml.preprocessing

PatternTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.PatternTransformer

PCA - Class in sklearn.decomposition

PCA(String, String) - Constructor for class sklearn.decomposition.PCA

PMML_FEATURE_IMPORTANCES - Static variable in interface sklearn2pmml.SkLearn2PMMLFields

PMML_NAME - Static variable in interface sklearn2pmml.SkLearn2PMMLFields

PMML_OPTIONS - Static variable in interface sklearn2pmml.SkLearn2PMMLFields

PMML_SEGMENT_ID - Static variable in interface sklearn2pmml.SkLearn2PMMLFields

PMMLLabelBinarizer - Class in sklearn2pmml.preprocessing

PMMLLabelBinarizer(String, String) - Constructor for class sklearn2pmml.preprocessing.PMMLLabelBinarizer

PMMLLabelEncoder - Class in sklearn2pmml.preprocessing

PMMLLabelEncoder(String, String) - Constructor for class sklearn2pmml.preprocessing.PMMLLabelEncoder

PMMLPipeline - Class in sklearn2pmml.pipeline

PMMLPipeline() - Constructor for class sklearn2pmml.pipeline.PMMLPipeline

PMMLPipeline(String, String) - Constructor for class sklearn2pmml.pipeline.PMMLPipeline

PMMLPipelineUtil - Class in sklearn2pmml.pipeline

PolynomialFeatures - Class in sklearn.preprocessing

PolynomialFeatures(String, String) - Constructor for class sklearn.preprocessing.PolynomialFeatures

PowerFunctionTransformer - Class in sklearn2pmml.preprocessing

PowerFunctionTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.PowerFunctionTransformer

PowerTransformer - Class in sklearn.preprocessing

PowerTransformer(String, String) - Constructor for class sklearn.preprocessing.PowerTransformer

Predicate - Class in sklearn2pmml.util

Predicate(String, String) - Constructor for class sklearn2pmml.util.Predicate

PREDICT - Static variable in interface sklearn.SkLearnMethods

PREDICT_PROBA - Static variable in interface sklearn.SkLearnMethods

prepareClasses(List<?>) - Method in class sklearn.preprocessing.LabelBinarizer

prepareClasses(List<?>) - Method in class sklearn2pmml.preprocessing.PMMLLabelBinarizer

PresortBestSplitter - Class in sklearn.tree

PresortBestSplitter(String, String) - Constructor for class sklearn.tree.PresortBestSplitter

PriorProbabilityEstimator - Class in sklearn.ensemble.gradient_boosting

PriorProbabilityEstimator(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator

Proxy - Interface in sklearn

putOption(String, Object) - Method in class sklearn.Estimator

putOptions(Map<String, ?>) - Method in class sklearn.Estimator

Q

QuantileEstimator - Class in sklearn.ensemble.gradient_boosting

QuantileEstimator(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.QuantileEstimator

R

refreshLabel(Label, SkLearnEncoder) - Method in class sklearn.Composite

RegressionCriterion - Class in sklearn.tree

RegressionCriterion(String, String) - Constructor for class sklearn.tree.RegressionCriterion

Regressor - Class in sklearn

Regressor(String, String) - Constructor for class sklearn.Regressor

RegressorChain - Class in sklearn.multioutput

RegressorChain(String, String) - Constructor for class sklearn.multioutput.RegressorChain

renameFeature(Feature, String) - Method in class org.jpmml.sklearn.SkLearnEncoder

renameFeatures(List<Feature>, List<String>) - Method in class org.jpmml.sklearn.SkLearnEncoder

ReplaceTransformer - Class in sklearn2pmml.preprocessing

ReplaceTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.ReplaceTransformer

Reshaper - Class in sklearn2pmml.util

Reshaper(String, String) - Constructor for class sklearn2pmml.util.Reshaper

RidgeClassifier - Class in sklearn.linear_model.ridge

RidgeClassifier(String, String) - Constructor for class sklearn.linear_model.ridge.RidgeClassifier

RobustScaler - Class in sklearn.preprocessing

RobustScaler(String, String) - Constructor for class sklearn.preprocessing.RobustScaler

RuleSetClassifier - Class in sklearn2pmml.ruleset

RuleSetClassifier(String, String) - Constructor for class sklearn2pmml.ruleset.RuleSetClassifier

S

ScaledLogOddsEstimator - Class in sklearn.ensemble.gradient_boosting

ScaledLogOddsEstimator(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.ScaledLogOddsEstimator

Scaler - Class in sklearn.preprocessing

Scaler(String, String) - Constructor for class sklearn.preprocessing.Scaler

SecondsSinceMidnightTransformer - Class in sklearn2pmml.preprocessing

SecondsSinceMidnightTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.SecondsSinceMidnightTransformer

SecondsSinceYearTransformer - Class in sklearn2pmml.preprocessing

SecondsSinceYearTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.SecondsSinceYearTransformer

selectFeature(String, List<Feature>, SkLearnEncoder) - Static method in class sklearn.InitializerUtil

selectFeatures(List<?>, List<Feature>, SkLearnEncoder) - Static method in class sklearn.InitializerUtil

SelectFirstClassifier - Class in sklearn2pmml.ensemble

SelectFirstClassifier(String, String) - Constructor for class sklearn2pmml.ensemble.SelectFirstClassifier

SelectFirstRegressor - Class in sklearn2pmml.ensemble

SelectFirstRegressor(String, String) - Constructor for class sklearn2pmml.ensemble.SelectFirstRegressor

SelectFirstUtil - Class in sklearn2pmml.ensemble

SelectFromModel - Class in sklearn.feature_selection

SelectFromModel(String, String) - Constructor for class sklearn.feature_selection.SelectFromModel

SelectKBest - Class in sklearn.feature_selection

SelectKBest(String, String) - Constructor for class sklearn.feature_selection.SelectKBest

Selector - Class in sklearn

Selector(String, String) - Constructor for class sklearn.Selector

SelectorProxy - Class in sklearn2pmml

SelectorProxy() - Constructor for class sklearn2pmml.SelectorProxy

SelectorProxy(String, String) - Constructor for class sklearn2pmml.SelectorProxy

SelectUnique - Class in sklearn2pmml.feature_selection

SelectUnique(String, String) - Constructor for class sklearn2pmml.feature_selection.SelectUnique

selectValue(Map<String, ?>, String) - Static method in class sklearn2pmml.decoration.Domain

selectValue(Map<String, ?>, String, Number) - Static method in class sklearn2pmml.decoration.Domain

setActiveFields(List<String>) - Method in class sklearn2pmml.pipeline.PMMLPipeline

setDefault(Object) - Method in class sklearn_pandas.DataFrameMapper

setDefaultValue(Object) - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

setDomain(String, Domain) - Method in class org.jpmml.sklearn.SkLearnEncoder

setDType(Object) - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

setExpr(String) - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

setFeatures(List<? extends Feature>) - Method in class org.jpmml.sklearn.SkLearnEncoder

setFeatures(List<Object[]>) - Method in class sklearn_pandas.DataFrameMapper

setInvalidValueTreatment(String) - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

setLabel(Label) - Method in class org.jpmml.sklearn.SkLearnEncoder

setMapMissingTo(Object) - Method in class sklearn2pmml.preprocessing.ExpressionTransformer

setModel(Model) - Method in class org.jpmml.sklearn.SkLearnEncoder

setPMMLFeatureImportances(List<? extends Number>) - Method in class sklearn.Estimator

setPMMLName(String) - Method in class sklearn.Step

setPMMLOptions(Map<String, ?>) - Method in class sklearn.Estimator

setPMMLOptions(Map<String, ?>) - Method in interface sklearn.HasPMMLOptions

setPMMLOptions(Map<String, ?>) - Method in class sklearn.pipeline.SkLearnPipeline

setPMMLSegmentId(Object) - Method in class sklearn.Estimator

setPredicate(Predicate) - Method in class org.jpmml.sklearn.SkLearnEncoder

setRepr(String) - Method in class sklearn2pmml.pipeline.PMMLPipeline

setSteps(List<Object[]>) - Method in class sklearn.pipeline.SkLearnPipeline

setSteps(List<Object[]>) - Method in class sklearn2pmml.pipeline.PMMLPipeline

setTargetFields(List<String>) - Method in class sklearn2pmml.pipeline.PMMLPipeline

setVerification(Verification) - Method in class sklearn2pmml.pipeline.PMMLPipeline

setWordRE(String) - Method in class sklearn2pmml.feature_extraction.text.Matcher

setWordSeparatorRE(String) - Method in class sklearn2pmml.feature_extraction.text.Splitter

SGDClassifier - Class in sklearn.linear_model.stochastic_gradient

SGDClassifier(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.SGDClassifier

SGDOneClassSVM - Class in sklearn.linear_model.stochastic_gradient

SGDOneClassSVM(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.SGDOneClassSVM

SigmoidCalibration - Class in sklearn.calibration

SigmoidCalibration(String, String) - Constructor for class sklearn.calibration.SigmoidCalibration

SimpleImputer - Class in sklearn.impute

SimpleImputer(String, String) - Constructor for class sklearn.impute.SimpleImputer

sklearn - package sklearn

sklearn.calibration - package sklearn.calibration

sklearn.cluster - package sklearn.cluster

sklearn.compose - package sklearn.compose

sklearn.decomposition - package sklearn.decomposition

sklearn.discriminant_analysis - package sklearn.discriminant_analysis

sklearn.dummy - package sklearn.dummy

sklearn.ensemble - package sklearn.ensemble

sklearn.ensemble.bagging - package sklearn.ensemble.bagging

sklearn.ensemble.forest - package sklearn.ensemble.forest

sklearn.ensemble.gradient_boosting - package sklearn.ensemble.gradient_boosting

sklearn.ensemble.hist_gradient_boosting - package sklearn.ensemble.hist_gradient_boosting

sklearn.ensemble.iforest - package sklearn.ensemble.iforest

sklearn.ensemble.stacking - package sklearn.ensemble.stacking

sklearn.ensemble.voting - package sklearn.ensemble.voting

sklearn.ensemble.weight_boosting - package sklearn.ensemble.weight_boosting

sklearn.feature_extraction - package sklearn.feature_extraction

sklearn.feature_extraction.text - package sklearn.feature_extraction.text

sklearn.feature_selection - package sklearn.feature_selection

sklearn.impute - package sklearn.impute

sklearn.isotonic - package sklearn.isotonic

sklearn.linear_model - package sklearn.linear_model

sklearn.linear_model.glm - package sklearn.linear_model.glm

sklearn.linear_model.logistic - package sklearn.linear_model.logistic

sklearn.linear_model.ridge - package sklearn.linear_model.ridge

sklearn.linear_model.stochastic_gradient - package sklearn.linear_model.stochastic_gradient

sklearn.loss - package sklearn.loss

sklearn.metrics - package sklearn.metrics

sklearn.model_selection - package sklearn.model_selection

sklearn.multiclass - package sklearn.multiclass

sklearn.multioutput - package sklearn.multioutput

sklearn.naive_bayes - package sklearn.naive_bayes

sklearn.neighbors - package sklearn.neighbors

sklearn.neural_network - package sklearn.neural_network

sklearn.pipeline - package sklearn.pipeline

sklearn.preprocessing - package sklearn.preprocessing

sklearn.svm - package sklearn.svm

sklearn.tree - package sklearn.tree

sklearn.tree.visitors - package sklearn.tree.visitors

sklearn2pmml - package sklearn2pmml

sklearn2pmml.decoration - package sklearn2pmml.decoration

sklearn2pmml.ensemble - package sklearn2pmml.ensemble

sklearn2pmml.expression - package sklearn2pmml.expression

sklearn2pmml.feature_extraction.text - package sklearn2pmml.feature_extraction.text

sklearn2pmml.feature_selection - package sklearn2pmml.feature_selection

sklearn2pmml.neural_network - package sklearn2pmml.neural_network

sklearn2pmml.pipeline - package sklearn2pmml.pipeline

sklearn2pmml.postprocessing - package sklearn2pmml.postprocessing

sklearn2pmml.preprocessing - package sklearn2pmml.preprocessing

sklearn2pmml.ruleset - package sklearn2pmml.ruleset

sklearn2pmml.tree - package sklearn2pmml.tree

sklearn2pmml.util - package sklearn2pmml.util

SkLearn2PMMLFields - Interface in sklearn2pmml

sklearn_pandas - package sklearn_pandas

SKLEARN_VERSION - Static variable in interface sklearn.SkLearnFields

SkLearnClassifier - Class in sklearn

SkLearnClassifier(String, String) - Constructor for class sklearn.SkLearnClassifier

SkLearnClusterer - Class in sklearn

SkLearnClusterer(String, String) - Constructor for class sklearn.SkLearnClusterer

SkLearnEncoder - Class in org.jpmml.sklearn

SkLearnEncoder() - Constructor for class org.jpmml.sklearn.SkLearnEncoder

SkLearnEncoderBatch - Class in org.jpmml.sklearn.testing

SkLearnEncoderBatch(String, String, Predicate<ResultField>, Equivalence<Object>) - Constructor for class org.jpmml.sklearn.testing.SkLearnEncoderBatch

SkLearnEncoderBatchTest - Class in org.jpmml.sklearn.testing

SkLearnEncoderBatchTest() - Constructor for class org.jpmml.sklearn.testing.SkLearnEncoderBatchTest

SkLearnEncoderBatchTest(Equivalence<Object>) - Constructor for class org.jpmml.sklearn.testing.SkLearnEncoderBatchTest

SkLearnFields - Interface in sklearn

SkLearnMethods - Interface in sklearn

SkLearnOutlierTransformation - Class in sklearn

SkLearnOutlierTransformation() - Constructor for class sklearn.SkLearnOutlierTransformation

SkLearnPipeline - Class in sklearn.pipeline

SkLearnPipeline() - Constructor for class sklearn.pipeline.SkLearnPipeline

SkLearnPipeline(String, String) - Constructor for class sklearn.pipeline.SkLearnPipeline

SkLearnRegressor - Class in sklearn

SkLearnRegressor(String, String) - Constructor for class sklearn.SkLearnRegressor

SkLearnSelector - Class in sklearn.feature_selection

SkLearnSelector(String, String) - Constructor for class sklearn.feature_selection.SkLearnSelector

SkLearnSteps - Interface in sklearn

SkLearnTransformer - Class in sklearn

SkLearnTransformer(String, String) - Constructor for class sklearn.SkLearnTransformer

SkLearnUtil - Class in org.jpmml.sklearn

Slicer - Class in sklearn2pmml.util

Slicer(String, String) - Constructor for class sklearn2pmml.util.Slicer

Split - Class in chaid

Split(String, String) - Constructor for class chaid.Split

Splitter - Class in sklearn2pmml.feature_extraction.text

Splitter() - Constructor for class sklearn2pmml.feature_extraction.text.Splitter

Splitter(String, String) - Constructor for class sklearn2pmml.feature_extraction.text.Splitter

SquaredHinge - Class in sklearn.linear_model.stochastic_gradient

SquaredHinge(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.SquaredHinge

StackingClassifier - Class in sklearn.ensemble.stacking

StackingClassifier(String, String) - Constructor for class sklearn.ensemble.stacking.StackingClassifier

StackingRegressor - Class in sklearn.ensemble.stacking

StackingRegressor(String, String) - Constructor for class sklearn.ensemble.stacking.StackingRegressor

StackingUtil - Class in sklearn.ensemble.stacking

StackingUtil.PredictFunction - Interface in sklearn.ensemble.stacking

standardizeValue(DataType, Object) - Static method in class sklearn2pmml.decoration.Domain

standardizeValues(DataType, List<?>) - Static method in class sklearn2pmml.decoration.Domain

StandardScaler - Class in sklearn.preprocessing

StandardScaler(String, String) - Constructor for class sklearn.preprocessing.StandardScaler

Step - Class in sklearn

Step(String, String) - Constructor for class sklearn.Step

StepUtil - Class in sklearn

StringNormalizer - Class in sklearn2pmml.preprocessing

StringNormalizer(String, String) - Constructor for class sklearn2pmml.preprocessing.StringNormalizer

SubstringTransformer - Class in sklearn2pmml.preprocessing

SubstringTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.SubstringTransformer

SupportVectorMachineUtil - Class in sklearn.svm

T

TemporalDomain - Class in sklearn2pmml.decoration

TemporalDomain(String, String) - Constructor for class sklearn2pmml.decoration.TemporalDomain

TfidfTransformer - Class in sklearn.feature_extraction.text

TfidfTransformer(String, String) - Constructor for class sklearn.feature_extraction.text.TfidfTransformer

TfidfVectorizer - Class in sklearn.feature_extraction.text

TfidfVectorizer(String, String) - Constructor for class sklearn.feature_extraction.text.TfidfVectorizer

toClassifier() - Method in class sklearn.Composite

toClusterer() - Method in class sklearn.Composite

toEncodable(Object) - Static method in class org.jpmml.sklearn.EncodableUtil

toEstimator() - Method in class sklearn.Composite

toFeature(String, Expression, PMMLEncoder) - Static method in class sklearn2pmml.expression.ExpressionUtil

TOKEN_PATTERN - Static variable in class sklearn.feature_extraction.text.CountVectorizer

Tokenizer - Class in sklearn.feature_extraction.text

Tokenizer(String, String) - Constructor for class sklearn.feature_extraction.text.Tokenizer

toPMMLPipeline(Object) - Static method in class sklearn2pmml.pipeline.PMMLPipelineUtil

toRegressor() - Method in class sklearn.Composite

toString(Object) - Static method in class sklearn2pmml.util.EvaluatableUtil

toTransformer() - Method in class sklearn.Composite

transform(E, M) - Static method in class sklearn.tree.TreeUtil

transformCategories(List<HasArray>) - Static method in class sklearn.preprocessing.EncoderUtil

TransformedTargetRegressor - Class in sklearn.compose

TransformedTargetRegressor(String, String) - Constructor for class sklearn.compose.TransformedTargetRegressor

Transformer - Class in sklearn

Transformer(String, String) - Constructor for class sklearn.Transformer

TransformerPipeline - Class in sklearn_pandas

TransformerPipeline(String, String) - Constructor for class sklearn_pandas.TransformerPipeline

TransformerUtil - Class in sklearn

TransformerWrapper - Class in sklearn2pmml.decoration

TransformerWrapper(String, String) - Constructor for class sklearn2pmml.decoration.TransformerWrapper

transformEstimatorsFeatures(List<? extends HasArray>) - Static method in class sklearn.ensemble.EnsembleUtil

transformInfrequentIndices(List<HasArray>) - Static method in class sklearn.preprocessing.EncoderUtil

translate(Scope) - Method in class sklearn2pmml.util.Evaluatable

translate(Scope) - Method in class sklearn2pmml.util.Expression

translate(Scope) - Method in class sklearn2pmml.util.Predicate

translateExpression(Object, Scope) - Static method in class sklearn2pmml.util.EvaluatableUtil

translateExpression(String, List<String>, Scope) - Static method in class sklearn2pmml.util.EvaluatableUtil

translatePredicate(Object, Scope) - Static method in class sklearn2pmml.util.EvaluatableUtil

translatePredicate(String, List<String>, Scope) - Static method in class sklearn2pmml.util.EvaluatableUtil

Tree - Class in sklearn.tree

Tree(String, String) - Constructor for class sklearn.tree.Tree

TreeClassifier - Class in sklearn.tree

TreeClassifier(String, String) - Constructor for class sklearn.tree.TreeClassifier

TreeModelCompactor - Class in sklearn.tree.visitors

TreeModelCompactor() - Constructor for class sklearn.tree.visitors.TreeModelCompactor

TreeModelFlattener - Class in sklearn.tree.visitors

TreeModelFlattener() - Constructor for class sklearn.tree.visitors.TreeModelFlattener

TreeModelPruner - Class in sklearn.tree.visitors

TreeModelPruner() - Constructor for class sklearn.tree.visitors.TreeModelPruner

TreePredictor - Class in sklearn.ensemble.hist_gradient_boosting

TreePredictor(String, String) - Constructor for class sklearn.ensemble.hist_gradient_boosting.TreePredictor

TreePredictorUtil - Class in sklearn.ensemble.hist_gradient_boosting

TreeRegressor - Class in sklearn.tree

TreeRegressor(String, String) - Constructor for class sklearn.tree.TreeRegressor

TreeUtil - Class in sklearn.tree

TruncatedSVD - Class in sklearn.decomposition

TruncatedSVD(String, String) - Constructor for class sklearn.decomposition.TruncatedSVD

U

UNKNOWN - Static variable in interface sklearn.HasNumberOfFeatures

UNKNOWN - Static variable in interface sklearn.HasNumberOfOutputs

updateDataField(DataField, OpType, DataType, SkLearnEncoder) - Method in class sklearn.Transformer

updateDataField(DataField, OpType, DataType, SkLearnEncoder) - Method in class sklearn2pmml.decoration.Domain

updateFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn.Transformer

V

VALUE_INLIER - Static variable in class sklearn.SkLearnOutlierTransformation

VALUE_OUTLIER - Static variable in class sklearn.SkLearnOutlierTransformation

Verification - Class in sklearn2pmml.pipeline

Verification(String, String) - Constructor for class sklearn2pmml.pipeline.Verification

VersionUtil - Class in sklearn

visit(Node) - Method in class sklearn.tree.visitors.TreeModelPruner

VotingClassifier - Class in sklearn.ensemble.voting

VotingClassifier(String, String) - Constructor for class sklearn.ensemble.voting.VotingClassifier

VotingRegressor - Class in sklearn.ensemble.voting

VotingRegressor(String, String) - Constructor for class sklearn.ensemble.voting.VotingRegressor

W

WordCountTransformer - Class in sklearn2pmml.preprocessing

WordCountTransformer(String, String) - Constructor for class sklearn2pmml.preprocessing.WordCountTransformer

Z

ZeroEstimator - Class in sklearn.ensemble.gradient_boosting

ZeroEstimator(String, String) - Constructor for class sklearn.ensemble.gradient_boosting.ZeroEstimator

_

__init__(Object[]) - Method in class sklearn.linear_model.stochastic_gradient.Hinge

__init__(Object[]) - Method in class sklearn.linear_model.stochastic_gradient.SquaredHinge

__init__(Object[]) - Method in class sklearn.loss.CyLossFunction

__init__(Object[]) - Method in class sklearn.metrics.DistanceMetric

__init__(Object[]) - Method in class sklearn.neighbors.BinaryTree

__init__(Object[]) - Method in class sklearn.neighbors.DistanceMetric

__init__(Object[]) - Method in class sklearn.tree.PresortBestSplitter

__init__(Object[]) - Method in class sklearn.tree.RegressionCriterion

__init__(Object[]) - Method in class sklearn.tree.Tree

__setstate__(Object[]) - Method in class sklearn.metrics.DistanceMetric

__setstate__(Object[]) - Method in class sklearn.neighbors.BinaryTree

__setstate__(Object[]) - Method in class sklearn.neighbors.DistanceMetric

__setstate__(String) - Method in class sklearn2pmml.feature_extraction.text.Matcher

__setstate__(String) - Method in class sklearn2pmml.feature_extraction.text.Splitter

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