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

A

AdaBoostRegressor - Class in sklearn.ensemble.weight_boosting

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

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

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

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

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

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

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

baseEncodeValues(Map<Object, Integer>, int, int) - Static method in class category_encoders.BaseNEncoder

BaseEstimator - Class in h2o.estimators

BaseEstimator(String, String) - Constructor for class h2o.estimators.BaseEstimator

BaseLoss - Class in sklearn.ensemble.hist_gradient_boosting

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

BaseNEncoder - Class in category_encoders

BaseNEncoder(String, String) - Constructor for class category_encoders.BaseNEncoder

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

BinaryEncoder - Class in category_encoders

BinaryEncoder(String, String) - Constructor for class category_encoders.BinaryEncoder

BinaryTree - Class in sklearn.neighbors

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

BinomialDeviance - Class in sklearn.ensemble.gradient_boosting

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

Booster - Class in lightgbm.sklearn

Booster(String, String) - Constructor for class lightgbm.sklearn.Booster

Booster - Class in xgboost.sklearn

Booster(String, String) - Constructor for class xgboost.sklearn.Booster

BoosterUtil - Class in lightgbm.sklearn

BoosterUtil - Class in xgboost.sklearn

BSplineTransformer - Class in sklearn2pmml.preprocessing.scipy

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

C

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

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

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

category_encoders - package category_encoders

CATEGORY_MISSING - Static variable in class category_encoders.CategoryEncoder

CategoryEncoder - Class in category_encoders

CategoryEncoder(String, String) - Constructor for class category_encoders.CategoryEncoder

CategoryEncoder.Mapping - Class in category_encoders

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

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

Classifier - Class in sklearn

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

ClassifierUtil - Class in sklearn

Clusterer - Class in sklearn

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

ColumnTransformer - Class in sklearn.compose

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

compareVersion(String, String) - Static method in class org.jpmml.sklearn.SkLearnUtil

Composite - Class in sklearn

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

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

ContinuousDomain - Class in sklearn2pmml.decoration

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

CountVectorizer - Class in sklearn.feature_extraction.text

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

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

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

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

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

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

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

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

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

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

D

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

DaysSinceYearTransformer - Class in sklearn2pmml.preprocessing

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

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

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

DomainUtil - Class in sklearn2pmml.decoration

Drop - Class in sklearn

DummyClassifier - Class in sklearn.dummy

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

DummyRegressor - Class in sklearn.dummy

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

DurationTransformer - Class in sklearn2pmml.preprocessing

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

E

encode(Schema) - Method in class sklearn.Estimator

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

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

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

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

encodeBooster(E, Schema) - Static method in class xgboost.sklearn.BoosterUtil

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

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

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

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 category_encoders.BaseNEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class category_encoders.BinaryEncoder

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

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class imblearn.Sampler

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.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.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.PassThrough

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

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

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.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.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.MultiDomain

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

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

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

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.DurationTransformer

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

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklearn2pmml.preprocessing.h2o.H2OFrameCreator

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

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.scipy.BSplineTransformer

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 sklearn_pandas.CategoricalImputer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class tpot.builtins.StackingEstimator

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

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

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

encodeIndexFeature(Transformer, Feature, List<?>, 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

encodeModel(Schema) - Method in class h2o.estimators.BaseEstimator

encodeModel(E, Schema) - Static method in class lightgbm.sklearn.BoosterUtil

encodeModel(Schema) - Method in class lightgbm.sklearn.LGBMClassifier

encodeModel(Schema) - Method in class lightgbm.sklearn.LGBMRegressor

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.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.isotonic.IsotonicRegression

encodeModel(Schema) - Method in class sklearn.linear_model.glm.GeneralizedLinearRegressor

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.multiclass.OneVsRestClassifier

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.neural_network.MLPClassifier

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

encodeModel(Schema) - Method in class sklearn.pipeline.PipelineClassifier

encodeModel(Schema) - Method in class sklearn.pipeline.PipelineRegressor

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.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.SelectFirstClassifier

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

encodeModel(Schema) - Method in class sklearn2pmml.EstimatorProxy

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

encodeModel(Schema) - Method in class xgboost.sklearn.XGBClassifier

encodeModel(Schema) - Method in class xgboost.sklearn.XGBRegressor

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

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

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

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

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, Schema) - Static method in class sklearn.ensemble.hist_gradient_boosting.TreePredictorUtil

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

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

encodeTreeModelEnsemble(E, MiningFunction, 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 org.jpmml.sklearn.visitors.TreeModelCompactor

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

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

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

Estimator - Class in sklearn

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

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

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

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

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

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

ExponentialLoss - Class in sklearn.ensemble.gradient_boosting

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

ExpressionTransformer - Class in sklearn2pmml.preprocessing

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

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

F

FeatureList - Class in org.jpmml.sklearn

FeatureList(List<? extends Feature>, List<String>) - Constructor for class org.jpmml.sklearn.FeatureList

FeatureUnion - Class in sklearn.pipeline

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

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

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

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

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

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

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

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

getBase() - Method in class category_encoders.BaseNEncoder

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

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

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

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

getBaseNEncoder() - Method in class category_encoders.BinaryEncoder

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

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

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

getBooster() - Method in interface lightgbm.sklearn.HasBooster

getBooster() - Method in class lightgbm.sklearn.LGBMClassifier

getBooster() - Method in class lightgbm.sklearn.LGBMRegressor

getBooster() - Method in interface xgboost.sklearn.HasBooster

getBooster() - Method in class xgboost.sklearn.XGBClassifier

getBooster() - Method in class xgboost.sklearn.XGBRegressor

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

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

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

getCategoryMapping(CategoryEncoder.Mapping) - Static method in class category_encoders.OrdinalEncoder

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

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

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 h2o.estimators.BaseEstimator

getClasses() - Method in class sklearn.Classifier

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

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.pipeline.PipelineClassifier

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

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

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

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

getClasses() - Method in class sklearn2pmml.EstimatorProxy

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

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

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

getCol() - Method in class category_encoders.CategoryEncoder.Mapping

getColumnNames() - Method in class sklearn2pmml.preprocessing.h2o.H2OFrameCreator

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

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

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 category_encoders.CategoryEncoder

getDataType() - Method in class category_encoders.CategoryEncoder.Mapping

getDataType() - Method in class sklearn.Composite

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.impute.MissingIndicator

getDataType() - Method in class sklearn.MultiTransformer

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

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

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

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

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

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

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

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

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

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

getDataType(Object) - Static method in class sklearn.StepUtil

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.Alias

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.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 xgboost.sklearn.XGBClassifier

getDataType() - Method in class xgboost.sklearn.XGBRegressor

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.LookupTransformer

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

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

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

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

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

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

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

getDropCols() - Method in class category_encoders.CategoryEncoder

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

getDropInvariant() - Method in class category_encoders.CategoryEncoder

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

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

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

getDType(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.ExpressionTransformer

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

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

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

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

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

getEstimator() - Method in interface sklearn.HasEstimator

getEstimator() - Method in class sklearn2pmml.EstimatorProxy

getEstimator() - Method in class tpot.builtins.StackingEstimator

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

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

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

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

getEstimatorType() - Method in class h2o.estimators.BaseEstimator

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

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

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

getFeature(String) - Method in class org.jpmml.sklearn.FeatureList

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

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.pipeline.PipelineClassifier

getFinalEstimator() - 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.Pipeline

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

getFinalRegressor() - Method in class sklearn.pipeline.PipelineRegressor

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

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

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

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

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

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

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

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

getGBDT() - Method in class lightgbm.sklearn.Booster

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

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

getHandle() - Method in class lightgbm.sklearn.Booster

getHandle() - Method in class xgboost.sklearn.Booster

getHandleMissing() - Method in class category_encoders.CategoryEncoder

getHandleUnknown() - Method in class category_encoders.CategoryEncoder

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

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

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

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

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

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

getInput() - Method in class org.jpmml.sklearn.Main

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

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

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

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

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

getLearner(ByteOrder, String) - Method in class xgboost.sklearn.Booster

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

getMapping() - Method in class category_encoders.CategoryEncoder

getMapping(Class<? extends E>) - Method in class category_encoders.CategoryEncoder.Mapping

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

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

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

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

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

getMiningFunction() - Method in class h2o.estimators.BaseEstimator

getMiningFunction() - Method in class sklearn.Classifier

getMiningFunction() - Method in class sklearn.Clusterer

getMiningFunction() - Method in class sklearn.Estimator

getMiningFunction() - Method in class sklearn.Regressor

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

getMojoPath() - Method in class h2o.estimators.BaseEstimator

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

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

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

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

getNames() - Method in class org.jpmml.sklearn.FeatureList

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

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

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

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

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

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

getNumberOfFeatures(E) - Static method in class lightgbm.sklearn.BoosterUtil

getNumberOfFeatures() - Method in class lightgbm.sklearn.LGBMClassifier

getNumberOfFeatures() - Method in class lightgbm.sklearn.LGBMRegressor

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

getNumberOfFeatures() - Method in class sklearn.Composite

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.voting.VotingClassifier

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.PySelector

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

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

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.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.pipeline.PipelineClassifier

getNumberOfFeatures() - Method in class sklearn.pipeline.PipelineRegressor

getNumberOfFeatures() - Method in class sklearn.pipeline.PipelineTransformer

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.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 tpot.builtins.StackingEstimator

getNumberOfFeatures(E) - Static method in class xgboost.sklearn.BoosterUtil

getNumberOfFeatures() - Method in class xgboost.sklearn.XGBClassifier

getNumberOfFeatures() - Method in class xgboost.sklearn.XGBRegressor

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

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

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

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

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

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

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

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

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

getOpType() - Method in class category_encoders.CategoryEncoder

getOpType() - Method in class sklearn.Composite

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.impute.MissingIndicator

getOpType() - Method in class sklearn.MultiTransformer

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

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

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

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

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

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

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

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

getOpType(DataType) - Static method in class sklearn.StepUtil

getOpType(Object) - Static method in class sklearn.StepUtil

getOpType() - Method in class sklearn.Transformer

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

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

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

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

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

getOrdinalEncoder() - Method in class category_encoders.BaseNEncoder

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

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

getOutput() - Method in class org.jpmml.sklearn.Main

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

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

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

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

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

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

getPipeline() - Method in class sklearn.pipeline.PipelineClassifier

getPipeline() - Method in class sklearn.pipeline.PipelineRegressor

getPipeline() - Method in class sklearn.pipeline.PipelineTransformer

getPMMLFeatureImportances() - Method in class sklearn.Estimator

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

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

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

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

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

getSeparatorRE() - Method in class sklearn2pmml.feature_extraction.text.Splitter

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

getSkLearnVersion() - Method in class sklearn.Estimator

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

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

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

getSteps() - Method in class sklearn.pipeline.Pipeline

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

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.PySelector

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

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

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

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

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

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

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

getTransformers() - Method in class sklearn.Composite

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

getTransformers() - Method in class sklearn.pipeline.Pipeline

getTree() - Method in interface sklearn.tree.HasTree

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

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

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

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 interface sklearn.neighbors.HasNeighbors

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

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

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

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

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

h2o.estimators - package h2o.estimators

H2OFrameCreator - Class in sklearn2pmml.preprocessing.h2o

H2OFrameCreator(String, String) - Constructor for class sklearn2pmml.preprocessing.h2o.H2OFrameCreator

HasBooster - Interface in lightgbm.sklearn

HasBooster - Interface in xgboost.sklearn

HasClasses - Interface in sklearn

HasClassifierOptions - 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

hasFinalEstimator() - Method in class sklearn.Composite

hasFinalEstimator() - Method in class sklearn.pipeline.Pipeline

HasNeighbors - Interface in sklearn.neighbors

HasNumberOfFeatures - Interface in sklearn

HasPriorProbability - Interface in sklearn

hasProbabilityDistribution() - Method in class h2o.estimators.BaseEstimator

hasProbabilityDistribution() - Method in class sklearn.Classifier

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

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

hasProbabilityDistribution() - Method in class sklearn.pipeline.PipelineClassifier

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.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.Pipeline

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 sklearn2pmml.preprocessing

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

imblearn - package imblearn

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

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 sklearn_pandas.DataFrameMapper

Initializer - Class in sklearn

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

INSTANCE - Static variable in class sklearn.Drop

INSTANCE - Static variable in class sklearn.PassThrough

isFrozen(FieldName) - 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

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

isSupervised() - Method in class sklearn.Estimator

isSupervised() - Method in class sklearn.pipeline.PipelineClassifier

isSupervised() - Method in class sklearn.pipeline.PipelineRegressor

isSupervised() - Method in class sklearn.svm.OneClassSVM

isSupervised() - Method in class sklearn2pmml.EstimatorProxy

K

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

LGBMClassifier - Class in lightgbm.sklearn

LGBMClassifier(String, String) - Constructor for class lightgbm.sklearn.LGBMClassifier

LGBMRegressor - Class in lightgbm.sklearn

LGBMRegressor(String, String) - Constructor for class lightgbm.sklearn.LGBMRegressor

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

lightgbm.sklearn - package lightgbm.sklearn

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

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

Main - Class in org.jpmml.sklearn

Main() - Constructor for class org.jpmml.sklearn.Main

main(String...) - Static method in class org.jpmml.sklearn.Main

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

ModifiedHuber - Class in sklearn.linear_model.stochastic_gradient

ModifiedHuber(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.ModifiedHuber

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

MultiTransformer - Class in sklearn

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

N

names() - Method in class sklearn.linear_model.glm.DistributionBoundary

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_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 category_encoders

OrdinalEncoder(String, String) - Constructor for class category_encoders.OrdinalEncoder

OrdinalEncoder - Class in sklearn.preprocessing

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

org.jpmml.sklearn - package org.jpmml.sklearn

org.jpmml.sklearn.visitors - package org.jpmml.sklearn.visitors

P

parseDataType(String) - Static method in class sklearn.StepUtil

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 org.jpmml.sklearn.SkLearnUtil

PassThrough - Class in sklearn

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

Pipeline - Class in sklearn.pipeline

Pipeline() - Constructor for class sklearn.pipeline.Pipeline

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

PipelineClassifier - Class in sklearn.pipeline

PipelineClassifier(Pipeline) - Constructor for class sklearn.pipeline.PipelineClassifier

PipelineRegressor - Class in sklearn.pipeline

PipelineRegressor(Pipeline) - Constructor for class sklearn.pipeline.PipelineRegressor

PipelineTransformer - Class in sklearn.pipeline

PipelineTransformer(Pipeline) - Constructor for class sklearn.pipeline.PipelineTransformer

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

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

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

PySelector - Class in sklearn.feature_selection

PySelector(String, String) - Constructor for class sklearn.feature_selection.PySelector

Q

QuantileEstimator - Class in sklearn.ensemble.gradient_boosting

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

R

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

renameFeature(Feature, FieldName) - Method in class org.jpmml.sklearn.SkLearnEncoder

ReplaceTransformer - Class in sklearn2pmml.preprocessing

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

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

run() - Method in class org.jpmml.sklearn.Main

S

Sampler - Class in imblearn

Sampler(String, String) - Constructor for class imblearn.Sampler

ScaledLogOddsEstimator - Class in sklearn.ensemble.gradient_boosting

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

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

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

setDomain(FieldName, Domain) - Method in class org.jpmml.sklearn.SkLearnEncoder

setFeatures(List<Object[]>) - Method in class sklearn_pandas.DataFrameMapper

setInput(File) - Method in class org.jpmml.sklearn.Main

setMojoPath(String) - Method in class h2o.estimators.BaseEstimator

setNames(List<String>) - Method in class org.jpmml.sklearn.FeatureList

setOutput(File) - Method in class org.jpmml.sklearn.Main

setPMMLFeatureImportances(List<? extends Number>) - Method in class sklearn.Estimator

setPMMLName(String) - Method in class sklearn.Step

setPMMLOptions(Map<String, ?>) - Method in class sklearn.Estimator

setRepr(String) - Method in class sklearn2pmml.pipeline.PMMLPipeline

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

SGDClassifier - Class in sklearn.linear_model.stochastic_gradient

SGDClassifier(String, String) - Constructor for class sklearn.linear_model.stochastic_gradient.SGDClassifier

SimpleImputer - Class in sklearn.impute

SimpleImputer(String, String) - Constructor for class sklearn.impute.SimpleImputer

sklearn - package sklearn

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.model_selection - package sklearn.model_selection

sklearn.multiclass - package sklearn.multiclass

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

sklearn2pmml - package sklearn2pmml

sklearn2pmml.decoration - package sklearn2pmml.decoration

sklearn2pmml.ensemble - package sklearn2pmml.ensemble

sklearn2pmml.feature_extraction.text - package sklearn2pmml.feature_extraction.text

sklearn2pmml.feature_selection - package sklearn2pmml.feature_selection

sklearn2pmml.pipeline - package sklearn2pmml.pipeline

sklearn2pmml.preprocessing - package sklearn2pmml.preprocessing

sklearn2pmml.preprocessing.h2o - package sklearn2pmml.preprocessing.h2o

sklearn2pmml.preprocessing.scipy - package sklearn2pmml.preprocessing.scipy

sklearn2pmml.ruleset - package sklearn2pmml.ruleset

sklearn_pandas - package sklearn_pandas

SkLearnEncoder - Class in org.jpmml.sklearn

SkLearnEncoder() - Constructor for class org.jpmml.sklearn.SkLearnEncoder

SkLearnUtil - Class in org.jpmml.sklearn

Splitter - Class in sklearn2pmml.feature_extraction.text

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

StackingEstimator - Class in tpot.builtins

StackingEstimator(String, String) - Constructor for class tpot.builtins.StackingEstimator

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

toArray(List<?>) - Static method in class sklearn.Step

toClassifier() - Method in class sklearn.pipeline.Pipeline

toEstimator() - Method in class sklearn.pipeline.Pipeline

toRegressor() - Method in class sklearn.pipeline.Pipeline

toTransformer() - Method in class sklearn.pipeline.Pipeline

tpot.builtins - package tpot.builtins

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

transformEstimatorsFeatures(List<? extends HasArray>) - Static method in class sklearn.ensemble.EnsembleUtil

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 org.jpmml.sklearn.visitors

TreeModelCompactor() - Constructor for class org.jpmml.sklearn.visitors.TreeModelCompactor

TreeModelFlattener - Class in org.jpmml.sklearn.visitors

TreeModelFlattener() - Constructor for class org.jpmml.sklearn.visitors.TreeModelFlattener

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

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

Verification - Class in sklearn2pmml.pipeline

Verification(String, String) - Constructor for class sklearn2pmml.pipeline.Verification

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

X

XGBClassifier - Class in xgboost.sklearn

XGBClassifier(String, String) - Constructor for class xgboost.sklearn.XGBClassifier

xgboost.sklearn - package xgboost.sklearn

XGBRegressor - Class in xgboost.sklearn

XGBRegressor(String, String) - Constructor for class xgboost.sklearn.XGBRegressor

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.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.neighbors.BinaryTree

__setstate__(Object[]) - Method in class sklearn.neighbors.DistanceMetric

__setstate__(String) - Method in class sklearn2pmml.feature_extraction.text.Splitter

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