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

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

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

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

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

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

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

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

asSelector(Object) - Static method in class sklearn.TransformerUtil

asSelectorList(List<?>) - Static method in class sklearn.TransformerUtil

asTransformer(Object) - Static method in class sklearn.TransformerUtil

asTransformerList(List<?>) - Static method in class sklearn.TransformerUtil

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

BaseMultilayerPerceptronUtil - Class in sklearn.neural_network

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 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

C

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

CClassDict - Class in org.jpmml.sklearn

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

checkSize(Collection<?>...) - Static method in class org.jpmml.sklearn.ClassDictUtil

checkSize(int, Collection<?>...) - Static method in class org.jpmml.sklearn.ClassDictUtil

checkSize(int, CategoricalLabel) - Static method in class sklearn.EstimatorUtil

ClassDictConstructorUtil - Class in org.jpmml.sklearn

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

collections - package collections

CompressedInputStreamStorage - Class in org.jpmml.sklearn

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

construct(ClassDictConstructor, Class<? extends C>) - Static method in class org.jpmml.sklearn.ClassDictConstructorUtil

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

CountVectorizer - Class in sklearn.feature_extraction.text

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

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

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(Object[]) - Static method in class sklearn2pmml.decoration.CategoricalDomain

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

createName(Feature) - Method in class sklearn.Transformer

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

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

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

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

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

DefaultDict - Class in collections

DefaultDict(String, String) - Constructor for class collections.DefaultDict

DictVectorizer - Class in sklearn.feature_extraction

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

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

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

E

ElasticNet - Class in sklearn.linear_model.coordinate_descent

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

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

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

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

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

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

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

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.Initializer

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

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

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.Imputer

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.OneHotEncoder

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.CategoricalDomain

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

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

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

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

encodeModel(HasBooster, 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.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.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, SkLearnEncoder) - 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.logistic.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 sklearn2pmml.EstimatorProxy

encodeModel(Schema, SkLearnEncoder) - Method in class sklearn2pmml.EstimatorProxy

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.BaseMultilayerPerceptronUtil

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

encodePMML() - Method in class sklearn2pmml.PMMLPipeline

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

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

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

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

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

EstimatorProxy - Class in sklearn2pmml

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

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

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

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

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

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

FeatureUnion - Class in sklearn.pipeline

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

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

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

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

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

get(Object) - Method in class sklearn2pmml.EstimatorProxy

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.PMMLPipeline

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

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

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

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

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 lightgbm.sklearn.LGBMClassifier

getClasses() - Method in class sklearn.Classifier

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

getClasses() - Method in interface sklearn.HasClasses

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

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

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

getClasses() - Method in class sklearn2pmml.EstimatorProxy

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

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

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

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

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

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

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

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

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

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

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 numpy.DType

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

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

getDataType() - Method in class sklearn.Initializer

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

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

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

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

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

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

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

getDataType() - Method in class sklearn.Selector

getDataType() - 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 sklearn2pmml.EstimatorProxy

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

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

getDefault() - Method in class sklearn_pandas.DataFrameMapper

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.preprocessing.PolynomialFeatures

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

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

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

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

getDType() - Method in class joblib.NumpyArrayWrapper

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

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

getDType() - Method in class sklearn.Transformer

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

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

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

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

getEstimator() - Method in class sklearn2pmml.EstimatorProxy

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

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

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

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

getFeatures() - Method in class sklearn_pandas.DataFrameMapper

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

getFileName() - Method in class joblib.NDArrayWrapper

getFill() - Method in class sklearn_pandas.CategoricalImputer

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

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

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

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

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

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

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

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

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

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

getInputStream() - Method in class joblib.NDArrayWrapper

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

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

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

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

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

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

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

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

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

getMissingValues() - Method in class sklearn_pandas.CategoricalImputer

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

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

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

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

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

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

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(HasBooster) - 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.decomposition.PCA

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

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

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.feature_extraction.text.CountVectorizer

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

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

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

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

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() - Method in class sklearn.svm.BaseLibSVMClassifier

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

getNumberOfFeatures() - Method in class sklearn2pmml.EstimatorProxy

getNumberOfFeatures() - Method in class sklearn2pmml.SelectorProxy

getNumberOfFeatures(HasBooster) - 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

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

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

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

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 class sklearn.Initializer

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

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

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

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

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

getOpType() - Method in class sklearn.Selector

getOpType() - Method in class sklearn.Transformer

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

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

getOpType() - Method in class sklearn2pmml.EstimatorProxy

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

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

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

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

getRepr() - Method in class sklearn2pmml.PMMLPipeline

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

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

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

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

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

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

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.pipeline.Pipeline

getSteps() - Method in class sklearn2pmml.PMMLPipeline

getSteps() - Method in class sklearn_pandas.TransformerPipeline

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

getStorage() - Method in class joblib.NDArrayWrapperConstructor

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

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

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

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

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

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

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.SelectorProxy

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

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

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

getTargetField() - Method in class sklearn2pmml.PMMLPipeline

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

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

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

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

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

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

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

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

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

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

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

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

getValues() - Method in class numpy.DType

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

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

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

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

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

getWeight(int) - Method in class sklearn.feature_extraction.text.TfidfTransformer

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

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

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 lightgbm.sklearn

HasBooster - Interface in xgboost.sklearn

HasClasses - Interface in sklearn

HasNeighbors - Interface in sklearn.neighbors

HasNumberOfFeatures - Interface in sklearn

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

ImputerUtil - Class in sklearn.preprocessing

IncrementalPCA - Class in sklearn.decomposition

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

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

InputStreamStorage - Class in org.jpmml.sklearn

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

IsolationForest - Class in sklearn.ensemble.iforest

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

isSupervised() - Method in class sklearn.Classifier

isSupervised() - Method in class sklearn.Clusterer

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

isSupervised() - Method in class sklearn.Estimator

isSupervised() - Method in class sklearn.Regressor

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

isSupervised() - Method in class sklearn2pmml.EstimatorProxy

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

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

lightgbm.sklearn - package lightgbm.sklearn

LinearDiscriminantAnalysis - Class in sklearn.discriminant_analysis

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

LinearRegression - Class in sklearn.linear_model.base

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

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

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

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

NDArray(String, String) - 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

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, 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

parseMissingValueTreatment(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

Pipeline - Class in sklearn.pipeline

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

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

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

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

PMMLPipeline() - Constructor for class sklearn2pmml.PMMLPipeline

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

PolynomialFeatures - Class in sklearn.preprocessing

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

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

putUnivariateStats(UnivariateStats) - Method in class org.jpmml.sklearn.SkLearnEncoder

putUnivariateStats(FieldName, UnivariateStats) - Method in class org.jpmml.sklearn.SkLearnEncoder

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

Regressor - Class in sklearn

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

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

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

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

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

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

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

setActiveFields(List<String>) - Method in class sklearn2pmml.PMMLPipeline

setDefault(Object) - Method in class sklearn_pandas.DataFrameMapper

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

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

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

setRepr(String) - Method in class sklearn2pmml.PMMLPipeline

setSteps(List<Object[]>) - Method in class sklearn2pmml.PMMLPipeline

setTargetField(String) - Method in class sklearn2pmml.PMMLPipeline

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.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.iforest - package sklearn.ensemble.iforest

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

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.linear_model - package sklearn.linear_model

sklearn.linear_model.base - package sklearn.linear_model.base

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

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

sklearn2pmml.preprocessing - package sklearn2pmml.preprocessing

sklearn_pandas - package sklearn_pandas

SkLearnEncoder - Class in org.jpmml.sklearn

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

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

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

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(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

toTreeModelSchema(DataType, Schema) - Static method in class sklearn.tree.TreeModelUtil

Transformer - Class in sklearn

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

TransformerPipeline - Class in sklearn_pandas

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

TransformerUtil - Class in sklearn

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

updateFeatures(List<Feature>, Transformer) - Method in class org.jpmml.sklearn.SkLearnEncoder

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

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 collections.DefaultDict

__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

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

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