A B C D E F G H I J 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

addRow(List<Feature>) - Method in class org.jpmml.sklearn.FeatureMapper

asClassifier(Object) - Static method in class sklearn.EstimatorUtil

asClassifierList(List<?>) - Static method in class sklearn.EstimatorUtil

asRegressor(Object) - Static method in class sklearn.EstimatorUtil

asRegressorList(List<?>) - Static method in class sklearn.EstimatorUtil

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

BaseEstimator - Class in sklearn

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

BaseForestClassifier - Class in sklearn.ensemble.forest

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

BaseForestRegressor - Class in sklearn.ensemble.forest

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

BaseForestUtil - Class in sklearn.ensemble.forest

BaseLibSVMClassifier - Class in sklearn.svm

BaseLibSVMClassifier(String, String) - Constructor for class sklearn.svm.BaseLibSVMClassifier

BaseLibSVMRegressor - Class in sklearn.svm

BaseLibSVMRegressor(String, String) - Constructor for class sklearn.svm.BaseLibSVMRegressor

BaseLinearClassifier - Class in sklearn.linear_model

BaseLinearClassifier(String, String) - Constructor for class sklearn.linear_model.BaseLinearClassifier

BaseLinearRegressor - Class in sklearn.linear_model

BaseLinearRegressor(String, String) - Constructor for class sklearn.linear_model.BaseLinearRegressor

Binarizer - Class in sklearn.preprocessing

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

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 xgboost.sklearn

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

BoosterUtil - Class in xgboost.sklearn

C

cast(OpType, DataType, Schema) - Method in class org.jpmml.sklearn.FeatureMapper

CategoricalDomain - Class in sklearn2pmml.decoration

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

CClassDict - Class in org.jpmml.sklearn

CClassDict(String, String) - Constructor for class org.jpmml.sklearn.CClassDict

ClassDictUtil - Class in org.jpmml.sklearn

Classifier - Class in sklearn

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

close() - Method in class org.jpmml.sklearn.FileStorage

close() - Method in class org.jpmml.sklearn.InputStreamStorage

Clusterer - Class in sklearn

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

CompressedInputStreamStorage - Class in org.jpmml.sklearn

CompressedInputStreamStorage(InputStream) - Constructor for class org.jpmml.sklearn.CompressedInputStreamStorage

construct(Object[]) - Method in class org.jpmml.sklearn.ExtensionObjectConstructor

construct(Object[]) - Method in class org.jpmml.sklearn.ObjectConstructor

ContinuousDomain - Class in sklearn2pmml.decoration

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

createActiveFields(int) - Method in class sklearn.Estimator

createAttributeMap(String[], Object[]) - Static method in class org.jpmml.sklearn.CClassDict

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

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

createName(String) - Method in class sklearn.Transformer

createName(String, int) - Method in class sklearn.Transformer

createSchema(FeatureMapper) - Method in class sklearn.Classifier

createSchema(FeatureMapper) - Method in class sklearn.Clusterer

createSchema(FeatureMapper) - Method in class sklearn.ensemble.iforest.IsolationForest

createSchema(FeatureMapper) - Method in class sklearn.ensemble.voting_classifier.VotingClassifier

createSchema(FeatureMapper) - Method in class sklearn.Estimator

createSchema(FeatureMapper) - Method in class sklearn.Regressor

createSchema(FeatureMapper) - Method in class sklearn.svm.OneClassSVM

createStorage(File) - Static method in class org.jpmml.sklearn.PickleUtil

createSupervisedSchema() - Method in class org.jpmml.sklearn.FeatureMapper

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

createTargetField() - Method in class sklearn.Estimator

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

createUnsupervisedSchema() - Method in class org.jpmml.sklearn.FeatureMapper

CSRMatrix - Class in scipy.sparse

CSRMatrix(String, String) - Constructor for class scipy.sparse.CSRMatrix

CSRMatrixUtil - Class in scipy.sparse

D

DataFrameMapper - Class in sklearn_pandas

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

DecisionTreeClassifier - Class in sklearn.tree

DecisionTreeClassifier(String, String) - Constructor for class sklearn.tree.DecisionTreeClassifier

DecisionTreeRegressor - Class in sklearn.tree

DecisionTreeRegressor(String, String) - Constructor for class sklearn.tree.DecisionTreeRegressor

DistanceMetric - Class in sklearn.neighbors

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

Domain - Class in sklearn2pmml.decoration

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

DomainUtil - Class in sklearn2pmml.decoration

DType - Class in numpy

DType(String, String) - Constructor for class numpy.DType

E

ElasticNet - Class in sklearn.linear_model.coordinate_descent

ElasticNet(String, String) - Constructor for class sklearn.linear_model.coordinate_descent.ElasticNet

encodeAdaBoostFunction() - Static method in class sklearn.EstimatorUtil

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

encodeBaseForest(List<E>, Segmentation.MultipleModelMethod, MiningFunction, Schema) - Static method in class sklearn.ensemble.forest.BaseForestUtil

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

encodeDefineFunctions(List<E>) - Static method in class sklearn.ensemble.bagging.BaggingUtil

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

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

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

encodeDefineFunctions() - Method in class sklearn.ensemble.voting_classifier.VotingClassifier

encodeDefineFunctions() - Method in class sklearn.Estimator

encodeDefineFunctions() - Method in class sklearn.linear_model.BaseLinearClassifier

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

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

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

encodeFeatures(List<String>, List<Feature>, FeatureMapper) - Method in class sklearn.preprocessing.Imputer

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

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

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

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

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

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

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

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

encodeFeatures(List<String>, List<Feature>, FeatureMapper) - Method in class sklearn2pmml.decoration.CategoricalDomain

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

encodeFeatures(FeatureMapper) - Method in class sklearn_pandas.DataFrameMapper

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

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

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

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

encodeGradientBoosting(List<DecisionTreeRegressor>, Number, Number, Schema) - Static method in class sklearn.ensemble.gradient_boosting.GradientBoostingUtil

encodeKernel(String, Integer, Double, Double) - Static method in class sklearn.svm.SupportVectorMachineUtil

encodeLogitFunction() - Static method in class sklearn.EstimatorUtil

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

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.BaseForestClassifier

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

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.iforest.IsolationForest

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

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.BaseLinearClassifier

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

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

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.svm.BaseLibSVMClassifier

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

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 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.NeuralNetworkUtil

encodePMML(Estimator, FeatureMapper) - Static method in class sklearn.EstimatorUtil

encodeRegressionModel(List<? extends Number>, Number, Schema) - Static method in class sklearn.linear_model.RegressionModelUtil

encodeRegressionTable(List<? extends Number>, Number, Schema) - Static method in class sklearn.linear_model.RegressionModelUtil

encodeRegressionTable(NumericPredictor, Number) - Static method in class sklearn.linear_model.RegressionModelUtil

encodeSupportVectorMachine(List<VectorInstance>, List<? extends Number>, Number) - Static method in class sklearn.svm.SupportVectorMachineUtil

encodeTargetValueCounts(List<String>, List<Integer>) - Static method in class sklearn.naive_bayes.GaussianNB

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

encodeTreeModelSegmentation(List<E>, MiningFunction, Schema) - Static method in class sklearn.tree.TreeModelUtil

encodeVectorDictionary(List<Integer>, List<? extends Number>, int, int, Schema) - Static method in class sklearn.svm.SupportVectorMachineUtil

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

Estimator - Class in sklearn

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

EstimatorUtil - Class in sklearn

ExponentialLoss - Class in sklearn.ensemble.gradient_boosting

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

ExtensionObjectConstructor - Class in org.jpmml.sklearn

ExtensionObjectConstructor(String, String) - Constructor for class org.jpmml.sklearn.ExtensionObjectConstructor

ExtensionObjectConstructor(String, String, Class<? extends CClassDict>) - Constructor for class org.jpmml.sklearn.ExtensionObjectConstructor

extractElement(List<Object[]>, int) - Static method in class org.jpmml.sklearn.TupleUtil

ExtraTreeClassifier - Class in sklearn.tree

ExtraTreeClassifier(String, String) - Constructor for class sklearn.tree.ExtraTreeClassifier

ExtraTreeRegressor - Class in sklearn.tree

ExtraTreeRegressor(String, String) - Constructor for class sklearn.tree.ExtraTreeRegressor

ExtraTreesClassifier - Class in sklearn.ensemble.forest

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

ExtraTreesRegressor - Class in sklearn.ensemble.forest

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

F

FeatureMapper - Class in org.jpmml.sklearn

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

FileStorage - Class in org.jpmml.sklearn

FileStorage(File) - Constructor for class org.jpmml.sklearn.FileStorage

formatClass(Object) - Static method in class org.jpmml.sklearn.ClassDictUtil

formatMember(ClassDict, String) - Static method in class org.jpmml.sklearn.ClassDictUtil

formatNameList(List<Feature>) - Static method in class org.jpmml.sklearn.LoggerUtil

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

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

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

getActiveFeatures(boolean) - Method in class org.jpmml.sklearn.FeatureMapper

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

getActiveRows(boolean) - Method in class org.jpmml.sklearn.FeatureMapper

getArray(ClassDict, String) - Static method in class org.jpmml.sklearn.ClassDictUtil

getArray(ClassDict, String, String) - Static method in class org.jpmml.sklearn.ClassDictUtil

getArray(String) - Method in class org.jpmml.sklearn.FileStorage

getArray(String) - Method in class org.jpmml.sklearn.InputStreamStorage

getArray(String) - Method in interface org.jpmml.sklearn.Storage

getArrayContent() - Method in class joblib.NDArrayWrapper

getArrayContent() - Method in class numpy.core.NDArray

getArrayContent() - Method in class numpy.core.Scalar

getArrayContent() - Method in interface org.jpmml.sklearn.HasArray

getArrayContent() - Method in class scipy.sparse.CSRMatrix

getArrayShape() - Method in class joblib.NDArrayWrapper

getArrayShape() - Method in class numpy.core.NDArray

getArrayShape() - Method in class numpy.core.Scalar

getArrayShape() - Method in interface org.jpmml.sklearn.HasArray

getArrayShape() - Method in class scipy.sparse.CSRMatrix

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

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

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

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

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

getCenter() - 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 sklearn.Classifier

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 xgboost.sklearn.XGBClassifier

getClazz() - Method in class org.jpmml.sklearn.ObjectConstructor

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

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

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

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

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

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

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

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

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

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

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

getColumn(List<E>, int, int, int) - Static method in class org.jpmml.sklearn.MatrixUtil

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

getContent() - Method in class joblib.NDArrayWrapper

getContent() - Method in class numpy.core.NDArray

getContent(NDArray) - Static method in class numpy.core.NDArrayUtil

Gets the payload of a one-dimensional array.

getContent(NDArray, String) - Static method in class numpy.core.NDArrayUtil

Gets the payload of the specified dimension of a multi-dimensional array.

getContent() - Method in class numpy.core.Scalar

getContent(CSRMatrix) - Static method in class scipy.sparse.CSRMatrixUtil

getData() - Method in class numpy.core.NDArray

getData() - Method in class scipy.sparse.CSRMatrix

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

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

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

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

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

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

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

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

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

getDataType() - Method in class sklearn.Estimator

The data type of active fields.

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

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

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.Transformer

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

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

getDataType(List<?>, DataType) - Static method in class sklearn.TypeUtil

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

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

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

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

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

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

getDescr() - Method in class numpy.core.NDArray

getDType() - Method in class joblib.NumpyArrayWrapper

getDType() - Method in class numpy.core.Scalar

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

getFeatures() - Method in class sklearn_pandas.DataFrameMapper

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

getFileName() - Method in class joblib.NDArrayWrapper

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

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

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

getFortranOrder() - Method in class numpy.core.NDArray

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

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

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

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

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

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

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

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

getIndices() - Method in class scipy.sparse.CSRMatrix

getIndPtr() - Method in class scipy.sparse.CSRMatrix

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

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

getInputStream() - Method in class joblib.NDArrayWrapper

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

getModule() - Method in class numpy.core.UFunc

getModule() - Method in class org.jpmml.sklearn.ObjectConstructor

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

getName() - Method in class numpy.core.UFunc

getName() - Method in class org.jpmml.sklearn.ObjectConstructor

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

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

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

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_classifier.VotingClassifier

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

getNumberOfFeatures() - Method in class sklearn.Estimator

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

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

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.NeuralNetworkUtil

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

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

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

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

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

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

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

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

getObj() - Method in class numpy.core.Scalar

getObj() - Method in class numpy.DType

getObject() - Method in class org.jpmml.sklearn.FileStorage

getObject() - Method in class org.jpmml.sklearn.InputStreamStorage

getObject() - Method in interface org.jpmml.sklearn.Storage

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

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

getOpType() - Method in class sklearn.Estimator

The operational type of active fields.

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.Transformer

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

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

getOrder() - Method in class joblib.NumpyArrayWrapper

getOrder() - Method in class numpy.DType

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

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

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

getPriorProbability(int) - Method in interface sklearn.ensemble.gradient_boosting.HasPriorProbability

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

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

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

getRow(List<E>, int, int, int) - Static method in class org.jpmml.sklearn.MatrixUtil

getRows() - Method in class org.jpmml.sklearn.FeatureMapper

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

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

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

getShape() - Method in class joblib.NumpyArrayWrapper

getShape() - Method in class numpy.core.NDArray

getShape(NDArray) - Static method in class numpy.core.NDArrayUtil

getShape(ClassDict, String, int) - Static method in class org.jpmml.sklearn.ClassDictUtil

getShape(ClassDict, String) - Static method in class org.jpmml.sklearn.ClassDictUtil

getShape() - Method in class scipy.sparse.CSRMatrix

getShape(CSRMatrix) - Static method in class scipy.sparse.CSRMatrixUtil

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

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

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

getSteps() - Method in class sklearn_pandas.TransformerPipeline

getStorage() - Method in class joblib.NDArrayWrapperConstructor

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

getSupport() - Method in class sklearn.svm.BaseLibSVMClassifier

getSupport() - Method in class sklearn.svm.BaseLibSVMRegressor

getSupportSizes() - Method in class sklearn.svm.BaseLibSVMClassifier

getSupportVectors() - Method in class sklearn.svm.BaseLibSVMClassifier

getSupportVectors() - Method in class sklearn.svm.BaseLibSVMRegressor

getTargetFeature() - Method in class org.jpmml.sklearn.FeatureMapper

getTargetRow() - Method in class org.jpmml.sklearn.FeatureMapper

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

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

getThreshold() - Method in class sklearn.preprocessing.Binarizer

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

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

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

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

getValues() - Method in class numpy.DType

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

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

getVoting() - Method in class sklearn.ensemble.voting_classifier.VotingClassifier

getWeights() - Method in class sklearn.ensemble.voting_classifier.VotingClassifier

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

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

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

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

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

HasArray - Interface in org.jpmml.sklearn

HasBooster - Interface in xgboost.sklearn

HasNeighbors - Interface in sklearn.neighbors

HasPriorProbability - Interface in sklearn.ensemble.gradient_boosting

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.svm.BaseLibSVMClassifier

HasTrainingData - Interface in sklearn.neighbors

HasTree - Interface in sklearn.tree

Hinge - Class in sklearn.linear_model.stochastic_gradient

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

I

Imputer - Class in sklearn.preprocessing

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

IncrementalPCA - Class in sklearn.decomposition

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

initActiveFields(List<FieldName>, OpType, DataType) - Method in class org.jpmml.sklearn.FeatureMapper

initTargetField(FieldName, OpType, DataType, List<String>) - Method in class org.jpmml.sklearn.FeatureMapper

InputStreamStorage - Class in org.jpmml.sklearn

InputStreamStorage(InputStream) - Constructor for class org.jpmml.sklearn.InputStreamStorage

isEmpty() - Method in class org.jpmml.sklearn.FeatureMapper

IsolationForest - Class in sklearn.ensemble.iforest

IsolationForest(String, String) - Constructor for class sklearn.ensemble.iforest.IsolationForest

J

joblib - package joblib

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

Lasso - Class in sklearn.linear_model.coordinate_descent

Lasso(String, String) - Constructor for class sklearn.linear_model.coordinate_descent.Lasso

LinearDiscriminantAnalysis - Class in sklearn.discriminant_analysis

LinearDiscriminantAnalysis(String, String) - Constructor for class sklearn.discriminant_analysis.LinearDiscriminantAnalysis

LinearRegression - Class in sklearn.linear_model

LinearRegression(String, String) - Constructor for class sklearn.linear_model.LinearRegression

LinearSVR - Class in sklearn.svm

LinearSVR(String, String) - Constructor for class sklearn.svm.LinearSVR

Log - Class in sklearn.linear_model.stochastic_gradient

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

LoggerUtil - Class in org.jpmml.sklearn

LogisticRegression - Class in sklearn.linear_model

LogisticRegression(String, String) - Constructor for class sklearn.linear_model.LogisticRegression

LogOddsEstimator - Class in sklearn.ensemble.gradient_boosting

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

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

MatrixUtil - Class in org.jpmml.sklearn

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

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

MultinomialDeviance - Class in sklearn.ensemble.gradient_boosting

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

N

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

name() - Method in class sklearn.Transformer

NDArray - Class in numpy.core

NDArray() - Constructor for class numpy.core.NDArray

NDArrayUtil - Class in numpy.core

NDArrayWrapper - Class in joblib

NDArrayWrapper(String, String) - Constructor for class joblib.NDArrayWrapper

NDArrayWrapperConstructor - Class in joblib

NDArrayWrapperConstructor(String, String, Storage) - Constructor for class joblib.NDArrayWrapperConstructor

NeuralNetworkUtil - Class in sklearn.neural_network

newObject() - Method in class joblib.NDArrayWrapperConstructor

newObject() - Method in class org.jpmml.sklearn.ExtensionObjectConstructor

newObject() - Method in class org.jpmml.sklearn.ObjectConstructor

numpy - package numpy

numpy.core - package numpy.core

numpy.random - package numpy.random

NumpyArrayWrapper - Class in joblib

NumpyArrayWrapper(String, String) - Constructor for class joblib.NumpyArrayWrapper

NuSVC - Class in sklearn.svm

NuSVC(String, String) - Constructor for class sklearn.svm.NuSVC

NuSVR - Class in sklearn.svm

NuSVR(String, String) - Constructor for class sklearn.svm.NuSVR

O

ObjectConstructor - Class in org.jpmml.sklearn

ObjectConstructor(String, String) - Constructor for class org.jpmml.sklearn.ObjectConstructor

ObjectConstructor(String, String, Class<? extends ClassDict>) - Constructor for class org.jpmml.sklearn.ObjectConstructor

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

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

P

parseArray(InputStream, String, int) - Static method in class numpy.core.NDArrayUtil

parseData(InputStream, Object, Object[]) - Static method in class numpy.core.NDArrayUtil

parseInvalidValueTreatment(String) - Static method in class sklearn2pmml.decoration.DomainUtil

parseMultiArray(InputStream, List<String>, int) - Static method in class numpy.core.NDArrayUtil

parseNpy(InputStream) - Static method in class numpy.core.NDArrayUtil

http://docs.scipy.org/doc/numpy-dev/neps/npy-format.html

PCA - Class in sklearn.decomposition

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

PickleUtil - Class in org.jpmml.sklearn

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

Q

QuantileEstimator - Class in sklearn.ensemble.gradient_boosting

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

R

RandomForestClassifier - Class in sklearn.ensemble.forest

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

RandomForestRegressor - Class in sklearn.ensemble.forest

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

RandomState - Class in numpy.random

RandomState(String, String) - Constructor for class numpy.random.RandomState

reconstruct(Object, Object) - Method in class org.jpmml.sklearn.ObjectConstructor

RegressionCriterion - Class in sklearn.tree

RegressionCriterion(String, String) - Constructor for class sklearn.tree.RegressionCriterion

RegressionModelUtil - Class in sklearn.linear_model

Regressor - Class in sklearn

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

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

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

requiresContinuousInput() - Method in class sklearn.ensemble.forest.BaseForestClassifier

requiresContinuousInput() - Method in class sklearn.ensemble.forest.BaseForestRegressor

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

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

requiresContinuousInput() - Method in class sklearn.ensemble.voting_classifier.VotingClassifier

requiresContinuousInput() - Method in class sklearn.Estimator

requiresContinuousInput() - Method in class sklearn.linear_model.BaseLinearClassifier

requiresContinuousInput() - Method in class sklearn.linear_model.BaseLinearRegressor

requiresContinuousInput() - Method in class sklearn.svm.BaseLibSVMClassifier

requiresContinuousInput() - Method in class sklearn.svm.BaseLibSVMRegressor

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

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

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

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

reset() - Method in class org.jpmml.sklearn.CClassDict

Ridge - Class in sklearn.linear_model.ridge

Ridge(String, String) - Constructor for class sklearn.linear_model.ridge.Ridge

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

S

Scalar - Class in numpy.core

Scalar(String, String) - Constructor for class numpy.core.Scalar

ScaledLogOddsEstimator - Class in sklearn.ensemble.gradient_boosting

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

scipy.sparse - package scipy.sparse

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

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

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

SGDClassifier - Class in sklearn.linear_model.stochastic_gradient

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

SGDRegressor - Class in sklearn.linear_model.stochastic_gradient

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

sklearn - package sklearn

sklearn.cluster - package sklearn.cluster

sklearn.decomposition - package sklearn.decomposition

sklearn.discriminant_analysis - package sklearn.discriminant_analysis

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.iforest - package sklearn.ensemble.iforest

sklearn.ensemble.voting_classifier - package sklearn.ensemble.voting_classifier

sklearn.ensemble.weight_boosting - package sklearn.ensemble.weight_boosting

sklearn.linear_model - package sklearn.linear_model

sklearn.linear_model.coordinate_descent - package sklearn.linear_model.coordinate_descent

sklearn.linear_model.ridge - package sklearn.linear_model.ridge

sklearn.linear_model.stochastic_gradient - package sklearn.linear_model.stochastic_gradient

sklearn.naive_bayes - package sklearn.naive_bayes

sklearn.neighbors - package sklearn.neighbors

sklearn.neural_network - package sklearn.neural_network

sklearn.preprocessing - package sklearn.preprocessing

sklearn.svm - package sklearn.svm

sklearn.tree - package sklearn.tree

sklearn2pmml.decoration - package sklearn2pmml.decoration

sklearn_pandas - package sklearn_pandas

SquaredHinge - Class in sklearn.linear_model.stochastic_gradient

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

StandardScaler - Class in sklearn.preprocessing

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

Storage - Interface in org.jpmml.sklearn

SupportVectorMachineUtil - Class in sklearn.svm

SVC - Class in sklearn.svm

SVC(String, String) - Constructor for class sklearn.svm.SVC

SVR - Class in sklearn.svm

SVR(String, String) - Constructor for class sklearn.svm.SVR

T

toArray(InputStream) - Method in class joblib.NumpyArrayWrapper

toDescr() - Method in class numpy.DType

toString() - Method in class joblib.NDArrayWrapper

toString(ClassDict) - Static method in class org.jpmml.sklearn.ClassDictUtil

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<?>) - Static method in class sklearn.ensemble.bagging.BaggingUtil

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

TreeModelUtil - Class in sklearn.tree

TreeRegressor - Class in sklearn.tree

TreeRegressor(String, String) - Constructor for class sklearn.tree.TreeRegressor

TupleUtil - Class in org.jpmml.sklearn

TypeUtil - Class in sklearn

U

UFunc - Class in numpy.core

UFunc(String, String) - Constructor for class numpy.core.UFunc

unpickle(Storage) - Static method in class org.jpmml.sklearn.PickleUtil

updateActiveFields(int, boolean, OpType, DataType) - Method in class org.jpmml.sklearn.FeatureMapper

updateTargetField(OpType, DataType, List<String>) - Method in class org.jpmml.sklearn.FeatureMapper

updateType(FieldName, OpType, DataType) - Method in class org.jpmml.sklearn.FeatureMapper

updateValueSpace(FieldName, List<String>) - Method in class org.jpmml.sklearn.FeatureMapper

V

VotingClassifier - Class in sklearn.ensemble.voting_classifier

VotingClassifier(String, String) - Constructor for class sklearn.ensemble.voting_classifier.VotingClassifier

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

_

__getstate__() - Method in class org.jpmml.sklearn.CClassDict

__init__(Object[]) - Method in class numpy.core.NDArray

__init__(Object[]) - Method in class numpy.core.Scalar

__init__(Object[]) - Method in class numpy.core.UFunc

__init__(Object[]) - Method in class numpy.DType

__init__(Object[]) - Method in class org.jpmml.sklearn.CClassDict

__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 numpy.core.NDArray

https://github.com/numpy/numpy/blob/master/numpy/core/src/multiarray/methods.c

__setstate__(Object[]) - Method in class numpy.DType

https://github.com/numpy/numpy/blob/master/numpy/core/src/multiarray/descriptor.c

__setstate__(Object[]) - Method in class numpy.random.RandomState

__setstate__(Object[]) - Method in class org.jpmml.sklearn.CClassDict

__setstate__(HashMap<String, Object>) - Method in class org.jpmml.sklearn.CClassDict

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

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

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