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

addEscapes(String) - Static method in exception org.jpmml.sklearn.TokenMgrException

Replaces unprintable characters by their escaped (or unicode escaped) equivalents in the given string

AdditiveExpression() - Method in class org.jpmml.sklearn.ExpressionTranslator

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

adjustBeginLineColumn(int, int) - Method in class org.jpmml.sklearn.SimpleCharStream

Method to adjust line and column numbers for the start of a token.

apply(Object) - Method in class org.jpmml.sklearn.CastFunction

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

B

backup(int) - Method in class org.jpmml.sklearn.SimpleCharStream

Backup a number of characters.

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

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

beginColumn - Variable in class org.jpmml.sklearn.Token

The column number of the first character of this Token.

beginLine - Variable in class org.jpmml.sklearn.Token

The line number of the first character of this Token.

BeginToken() - Method in class org.jpmml.sklearn.SimpleCharStream

Start.

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

bufcolumn - Variable in class org.jpmml.sklearn.SimpleCharStream

buffer - Variable in class org.jpmml.sklearn.SimpleCharStream

bufline - Variable in class org.jpmml.sklearn.SimpleCharStream

bufpos - Variable in class org.jpmml.sklearn.SimpleCharStream

Position in buffer.

C

CastFunction<E> - Class in org.jpmml.sklearn

CastFunction(Class<? extends E>) - Constructor for class org.jpmml.sklearn.CastFunction

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

CategoricalOutputFeature - Class in tpot.builtins

CategoricalOutputFeature(PMMLEncoder, Output, OutputField, List<String>) - Constructor for class tpot.builtins.CategoricalOutputFeature

CategoricalOutputFeature(PMMLEncoder, Output, FieldName, DataType, List<String>) - Constructor for class tpot.builtins.CategoricalOutputFeature

CClassDict - Class in org.jpmml.sklearn

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

checkShapes(int, int[]...) - Static method in class org.jpmml.sklearn.ClassDictUtil

checkShapes(int, int, int[]...) - Static method in class org.jpmml.sklearn.ClassDictUtil

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.ClassifierUtil

ClassDictConstructorUtil - Class in org.jpmml.sklearn

ClassDictUtil - Class in org.jpmml.sklearn

Classifier - Class in sklearn

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

ClassifierUtil - Class in sklearn

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

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

close() - Method in interface org.jpmml.sklearn.Provider

Closes the stream and releases any system resources associated with it.

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

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

Clusterer - Class in sklearn

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

collections - package collections

COLON - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

column - Variable in class org.jpmml.sklearn.SimpleCharStream

COMMA - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

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

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

ContinuousOutputFeature - Class in tpot.builtins

ContinuousOutputFeature(PMMLEncoder, Output, OutputField) - Constructor for class tpot.builtins.ContinuousOutputFeature

ContinuousOutputFeature(PMMLEncoder, Output, FieldName, DataType) - Constructor for class tpot.builtins.ContinuousOutputFeature

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

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

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

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

createRow(DocumentBuilder, List<String>, Object, Object) - Method in class sklearn2pmml.preprocessing.LookupTransformer

createRow(DocumentBuilder, List<String>, Object, Object) - Method in class sklearn2pmml.preprocessing.MultiLookupTransformer

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

createTagName(String) - Static method in class org.jpmml.sklearn.XMLUtil

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

curChar - Variable in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

currentToken - Variable in exception org.jpmml.sklearn.ParseException

This is the last token that has been consumed successfully.

D

DataFrameMapper - Class in sklearn_pandas

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

debugStream - Variable in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Debug output.

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

DEFAULT - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

Lexical state.

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

DIGIT - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

disable_tracing() - Method in class org.jpmml.sklearn.ExpressionTranslator

Disable tracing.

DistanceMetric - Class in sklearn.neighbors

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

DIVIDE - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

Domain - Class in sklearn2pmml.decoration

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

DomainUtil - Class in sklearn2pmml.decoration

Done() - Method in class org.jpmml.sklearn.SimpleCharStream

Reset buffer when finished.

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

enable_tracing() - Method in class org.jpmml.sklearn.ExpressionTranslator

Enable tracing.

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

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

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

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

encodeBooster(E, 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 sklearn2pmml.decoration.MultiDomain

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

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

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

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

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

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

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

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

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

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

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

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

endColumn - Variable in class org.jpmml.sklearn.Token

The column number of the last character of this Token.

endLine - Variable in class org.jpmml.sklearn.Token

The line number of the last character of this Token.

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

EOF - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

End of File.

EOL - Static variable in exception org.jpmml.sklearn.ParseException

The end of line string (we do not use System.getProperty("") so that we are compatible with Android/GWT);

Estimator - Class in sklearn

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

EstimatorProxy - Class in sklearn2pmml

EstimatorProxy() - Constructor for class sklearn2pmml.EstimatorProxy

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

ExpandBuff(boolean) - Method in class org.jpmml.sklearn.SimpleCharStream

expectedTokenSequences - Variable in exception org.jpmml.sklearn.ParseException

Each entry in this array is an array of integers.

EXPONENT - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

ExponentialLoss - Class in sklearn.ensemble.gradient_boosting

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

Expression() - Method in class org.jpmml.sklearn.ExpressionTranslator

ExpressionTransformer - Class in sklearn2pmml.preprocessing

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

ExpressionTranslator - Class in org.jpmml.sklearn

ExpressionTranslator(Provider) - Constructor for class org.jpmml.sklearn.ExpressionTranslator

Constructor.

ExpressionTranslator(String) - Constructor for class org.jpmml.sklearn.ExpressionTranslator

Constructor.

ExpressionTranslator(ExpressionTranslatorTokenManager) - Constructor for class org.jpmml.sklearn.ExpressionTranslator

Constructor with generated Token Manager.

ExpressionTranslatorConstants - Interface in org.jpmml.sklearn

Token literal values and constants.

ExpressionTranslatorTokenManager - Class in org.jpmml.sklearn

Token Manager.

ExpressionTranslatorTokenManager(SimpleCharStream) - Constructor for class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Constructor.

ExpressionTranslatorTokenManager(SimpleCharStream, int) - Constructor for class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Constructor.

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

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

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

extractElementList(List<Object[]>, int, Class<? extends E>) - 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

FeatureInvocationExpression() - Method in class org.jpmml.sklearn.ExpressionTranslator

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

FillBuff() - Method in class org.jpmml.sklearn.SimpleCharStream

FLOAT - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

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

formatMessage(Object) - Method in class org.jpmml.sklearn.CastFunction

formatProxyExample(Class<? extends ClassDict>, ClassDict) - Static method in class org.jpmml.sklearn.ClassDictUtil

formatTargetCategories(List<?>) - Static method in class sklearn.ClassifierUtil

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

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

FunctionTransformer - Class in sklearn.preprocessing

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

G

GaussianNB - Class in sklearn.naive_bayes

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

generateParseException() - Method in class org.jpmml.sklearn.ExpressionTranslator

Generate ParseException.

get(String, Class<? extends E>) - Method in class org.jpmml.sklearn.PyClassDict

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

getActiveValues() - Method in class sklearn2pmml.Verification

getActiveValuesShape() - Method in class sklearn2pmml.Verification

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

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

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

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

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

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

getArray(String, Class<? extends E>) - Method in class org.jpmml.sklearn.PyClassDict

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(String) - Method in class org.jpmml.sklearn.PyClassDict

getArrayShape(String, int) - Method in class org.jpmml.sklearn.PyClassDict

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

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

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

getBeginColumn() - Method in class org.jpmml.sklearn.SimpleCharStream

Get token beginning column number.

getBeginLine() - Method in class org.jpmml.sklearn.SimpleCharStream

Get token beginning line number.

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

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

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

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

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

getClasses() - Method in class sklearn.Classifier

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

getClasses() - Method in interface sklearn.HasClasses

getClasses() - Method in class sklearn.LabelEncoderClassifier

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

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

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

getClasses() - Method in class sklearn2pmml.EstimatorProxy

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

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

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

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

getClusterCentersShape() - 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

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

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

getColumn() - Method in class org.jpmml.sklearn.SimpleCharStream

Deprecated.

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

getComponentsShape() - 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.decoration.MultiDomain

getDataType() - Method in class sklearn2pmml.EstimatorProxy

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

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

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

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

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

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

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

getEndColumn() - Method in class org.jpmml.sklearn.SimpleCharStream

Get token end column number.

getEndLine() - Method in class org.jpmml.sklearn.SimpleCharStream

Get token end line number.

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

getEstimator() - Method in interface sklearn.HasEstimator

getEstimator() - Method in class sklearn2pmml.EstimatorProxy

getEstimator() - Method in class sklearn2pmml.PMMLPipeline

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

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

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

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

getEstimators() - Method in interface sklearn.HasEstimatorEnsemble

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

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

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

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

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

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

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

getFitXShape() - 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<? extends Transformer>) - Static method in class sklearn.TransformerUtil

GetImage() - Method in class org.jpmml.sklearn.SimpleCharStream

Get token literal value.

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

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

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 sklearn.LabelEncoderClassifier

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

getLine() - Method in class org.jpmml.sklearn.SimpleCharStream

Deprecated.

getList(String) - Method in class org.jpmml.sklearn.PyClassDict

getList(String, Class<? extends E>) - Method in class org.jpmml.sklearn.PyClassDict

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

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

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

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

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

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

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

getMessage() - Method in exception org.jpmml.sklearn.TokenMgrException

You can also modify the body of this method to customize your error messages.

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

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

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

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

getNextToken() - Method in class org.jpmml.sklearn.ExpressionTranslator

Get the next Token.

getNextToken() - Method in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Get the next Token.

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

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

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

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

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

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

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

getNumberOfFeatures() - Method in class sklearn.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.PySelector

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

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

getNumberOfFeatures() - Method in interface sklearn.HasNumberOfFeatures

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

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

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

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

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

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

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

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

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

getOption(String, Object) - Method in class org.jpmml.sklearn.PyClassDict

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.decoration.MultiDomain

getOpType() - Method in class sklearn2pmml.EstimatorProxy

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

getOrder() - Method in class joblib.NumpyArrayWrapper

getOrder() - Method in class numpy.DType

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

getOutput() - Method in class tpot.builtins.CategoricalOutputFeature

getOutput() - Method in class tpot.builtins.ContinuousOutputFeature

getOutputField(Output, FieldName) - Static method in class tpot.builtins.OutputUtil

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

getPrecision() - Method in class sklearn2pmml.Verification

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

getProbabilityValues() - Method in class sklearn2pmml.Verification

getProbabilityValuesShape() - Method in class sklearn2pmml.Verification

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

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

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

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

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

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

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

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() - Method in class scipy.sparse.CSRMatrix

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

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

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

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

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

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

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

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

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

getSteps() - Method in class sklearn2pmml.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

GetSuffix(int) - Method in class org.jpmml.sklearn.SimpleCharStream

Get the suffix.

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

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

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

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

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

getSupportMask() - Method in class sklearn.Selector

getSupportMask() - Method in class sklearn2pmml.SelectorProxy

getSupportMaskShape() - 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

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

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

getTabSize() - Method in class org.jpmml.sklearn.SimpleCharStream

getTargetFields() - Method in class sklearn2pmml.PMMLPipeline

getTargetValues() - Method in class sklearn2pmml.Verification

getTargetValuesShape() - Method in class sklearn2pmml.Verification

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

getThetaShape() - 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

getToken(int) - Method in class org.jpmml.sklearn.ExpressionTranslator

Get the specific Token.

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

getTransformers() - Method in class sklearn2pmml.PMMLPipeline

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

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

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

getTupleList(String) - Method in class org.jpmml.sklearn.PyClassDict

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

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

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

getValue() - Method in class org.jpmml.sklearn.Token

An optional attribute value of the Token.

getValues() - Method in class numpy.DType

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

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

getVerification() - Method in class sklearn2pmml.PMMLPipeline

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

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

getVoting() - Method in class sklearn.ensemble.voting_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

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

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

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

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

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

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

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

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

getZeroThreshold() - Method in class sklearn2pmml.Verification

GradientBoostingClassifier - Class in sklearn.ensemble.gradient_boosting

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

GradientBoostingRegressor - Class in sklearn.ensemble.gradient_boosting

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

GradientBoostingUtil - Class in sklearn.ensemble.gradient_boosting

H

HasArray - Interface in org.jpmml.sklearn

HasBooster - Interface in lightgbm.sklearn

HasBooster - Interface in xgboost.sklearn

HasClasses - Interface in sklearn

HasEstimator<E extends Estimator> - Interface in sklearn

HasEstimatorEnsemble<E extends Estimator> - Interface in sklearn

HasLightGBMOptions - Interface in lightgbm.sklearn

HasNeighbors - Interface in sklearn.neighbors

HasNumberOfFeatures - Interface in sklearn

HasOptions - Interface in org.jpmml.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

hasProbabilityValues() - Method in class sklearn2pmml.Verification

HasTrainingData - Interface in sklearn.neighbors

HasTree - Interface in sklearn.tree

HasTreeOptions - Interface in sklearn.tree

HasXGBoostOptions - Interface in xgboost.sklearn

Hinge - Class in sklearn.linear_model.stochastic_gradient

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

I

image - Variable in class org.jpmml.sklearn.Token

The string image of the token.

Imputer - Class in sklearn.preprocessing

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

ImputerUtil - Class in sklearn.preprocessing

inBuf - Variable in class org.jpmml.sklearn.SimpleCharStream

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

input_stream - Variable in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

inputStream - Variable in class org.jpmml.sklearn.SimpleCharStream

InputStreamStorage - Class in org.jpmml.sklearn

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

INT - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

INVALID_LEXICAL_STATE - Static variable in exception org.jpmml.sklearn.TokenMgrException

Tried to change to an invalid lexical state.

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

jj_nt - Variable in class org.jpmml.sklearn.ExpressionTranslator

Next token.

jjFillToken() - Method in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

jjstrLiteralImages - Static variable in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Token literal values.

joblib - package joblib

K

kind - Variable in class org.jpmml.sklearn.Token

An integer that describes the kind of this token.

KMeans - Class in sklearn.cluster

KMeans(String, String) - Constructor for class sklearn.cluster.KMeans

KNeighborsClassifier - Class in sklearn.neighbors

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

KNeighborsRegressor - Class in sklearn.neighbors

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

KNeighborsUtil - Class in sklearn.neighbors

L

LabelBinarizer - Class in sklearn.preprocessing

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

LabelEncoder - Class in sklearn.preprocessing

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

LabelEncoderClassifier - Class in sklearn

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

Lasso - Class in sklearn.linear_model.coordinate_descent

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

LBRACKET - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

LETTER - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

LEXICAL_ERROR - Static variable in exception org.jpmml.sklearn.TokenMgrException

Lexical error occurred.

LexicalErr(boolean, int, int, int, String, int) - Static method in exception org.jpmml.sklearn.TokenMgrException

Returns a detailed message for the Error when it is thrown by the token manager to indicate a lexical error.

lexStateNames - Static variable in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Lexer state names.

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

line - Variable in class org.jpmml.sklearn.SimpleCharStream

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

LiteralExpression() - Method in class org.jpmml.sklearn.ExpressionTranslator

Log - Class in sklearn.linear_model.stochastic_gradient

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

LogisticRegression - Class in sklearn.linear_model.logistic

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

LogOddsEstimator - Class in sklearn.ensemble.gradient_boosting

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

LookupTransformer - Class in sklearn2pmml.preprocessing

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

LOOP_DETECTED - Static variable in exception org.jpmml.sklearn.TokenMgrException

Detected (and bailed out of) an infinite loop in the token manager.

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

LPAREN - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

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

maxNextCharInd - Variable in class org.jpmml.sklearn.SimpleCharStream

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

MINUS - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

MLPClassifier - Class in sklearn.neural_network

MLPClassifier(String, String) - Constructor for class sklearn.neural_network.MLPClassifier

MLPRegressor - Class in sklearn.neural_network

MLPRegressor(String, String) - Constructor for class sklearn.neural_network.MLPRegressor

ModifiedHuber - Class in sklearn.linear_model.stochastic_gradient

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

MultiDomain - Class in sklearn2pmml.decoration

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

MultiLookupTransformer - Class in sklearn2pmml.preprocessing

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

MultinomialDeviance - Class in sklearn.ensemble.gradient_boosting

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

MultiplicativeExpression() - Method in class org.jpmml.sklearn.ExpressionTranslator

MULTIPLY - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

N

NAME - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

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

newToken(int, String) - Static method in class org.jpmml.sklearn.Token

Returns a new Token object, by default.

newToken(int) - Static method in class org.jpmml.sklearn.Token

next - Variable in class org.jpmml.sklearn.Token

A reference to the next regular (non-special) token from the input stream.

NONZERO_DIGIT - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

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

OPTION_COMPACT - Static variable in interface lightgbm.sklearn.HasLightGBMOptions

OPTION_COMPACT - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_COMPACT - Static variable in interface xgboost.sklearn.HasXGBoostOptions

OPTION_FLAT - Static variable in interface sklearn.tree.HasTreeOptions

OPTION_NTREE_LIMIT - Static variable in interface xgboost.sklearn.HasXGBoostOptions

OPTION_NUM_ITERATION - Static variable in interface lightgbm.sklearn.HasLightGBMOptions

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

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

OutputUtil - Class in tpot.builtins

P

ParenthesizedExpression() - Method in class org.jpmml.sklearn.ExpressionTranslator

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

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

ParseException - Exception in org.jpmml.sklearn

This exception is thrown when parse errors are encountered.

ParseException(Token, int[][], String[]) - Constructor for exception org.jpmml.sklearn.ParseException

ParseException(Token, int[][], String[], String) - Constructor for exception org.jpmml.sklearn.ParseException

This constructor is used by the method "generateParseException" in the generated parser.

ParseException() - Constructor for exception org.jpmml.sklearn.ParseException

The following constructors are for use by you for whatever purpose you can think of.

ParseException(String) - Constructor for exception org.jpmml.sklearn.ParseException

Constructor with message.

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

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

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

PLUS - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

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

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

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

prepareClasses(List<?>) - Method in class sklearn.preprocessing.LabelBinarizer

prepareClasses(List<?>) - Method in class sklearn2pmml.preprocessing.PMMLLabelBinarizer

PresortBestSplitter - Class in sklearn.tree

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

prevCharIsCR - Variable in class org.jpmml.sklearn.SimpleCharStream

prevCharIsLF - Variable in class org.jpmml.sklearn.SimpleCharStream

PrimaryExpression() - Method in class org.jpmml.sklearn.ExpressionTranslator

PriorProbabilityEstimator - Class in sklearn.ensemble.gradient_boosting

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

Provider - Interface in org.jpmml.sklearn

pushParent(PMMLObject) - Method in class org.jpmml.sklearn.visitors.TreeModelCompactor

pushParent(PMMLObject) - Method in class org.jpmml.sklearn.visitors.TreeModelFlattener

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

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

PyClassDict - Class in org.jpmml.sklearn

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

PySelector - Class in sklearn.feature_selection

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

Q

QuantileEstimator - Class in sklearn.ensemble.gradient_boosting

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

R

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

RBRACKET - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

read(char[], int, int) - Method in interface org.jpmml.sklearn.Provider

Reads characters into an array

read(char[], int, int) - Method in class org.jpmml.sklearn.StreamProvider

read(char[], int, int) - Method in class org.jpmml.sklearn.StringProvider

readChar() - Method in class org.jpmml.sklearn.SimpleCharStream

Read a character.

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

ReInit(String) - Method in class org.jpmml.sklearn.ExpressionTranslator

ReInit(Provider) - Method in class org.jpmml.sklearn.ExpressionTranslator

Reinitialise.

ReInit(ExpressionTranslatorTokenManager) - Method in class org.jpmml.sklearn.ExpressionTranslator

Reinitialise.

ReInit(SimpleCharStream) - Method in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Reinitialise parser.

ReInit(SimpleCharStream, int) - Method in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Reinitialise parser.

ReInit(Provider, int, int, int) - Method in class org.jpmml.sklearn.SimpleCharStream

Reinitialise.

ReInit(Provider, int, int) - Method in class org.jpmml.sklearn.SimpleCharStream

Reinitialise.

ReInit(Provider) - Method in class org.jpmml.sklearn.SimpleCharStream

Reinitialise.

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

RPAREN - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

RegularExpression Id.

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() - Constructor for class sklearn2pmml.SelectorProxy

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

setDebugStream(PrintStream) - Method in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Set debug output.

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

setTabSize(int) - Method in class org.jpmml.sklearn.SimpleCharStream

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

setVerification(Verification) - 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

SimpleCharStream - Class in org.jpmml.sklearn

An implementation of interface CharStream, where the stream is assumed to contain only ASCII characters (without unicode processing).

SimpleCharStream(Provider, int, int, int) - Constructor for class org.jpmml.sklearn.SimpleCharStream

Constructor.

SimpleCharStream(Provider, int, int) - Constructor for class org.jpmml.sklearn.SimpleCharStream

Constructor.

SimpleCharStream(Provider) - Constructor for class org.jpmml.sklearn.SimpleCharStream

Constructor.

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

SkLearnUtil - Class in org.jpmml.sklearn

specialToken - Variable in class org.jpmml.sklearn.Token

This field is used to access special tokens that occur prior to this token, but after the immediately preceding regular (non-special) token.

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

StackingEstimator - Class in tpot.builtins

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

StandardScaler - Class in sklearn.preprocessing

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

STATIC_LEXER_ERROR - Static variable in exception org.jpmml.sklearn.TokenMgrException

An attempt was made to create a second instance of a static token manager.

staticFlag - Static variable in class org.jpmml.sklearn.SimpleCharStream

Whether parser is static.

Storage - Interface in org.jpmml.sklearn

StreamProvider - Class in org.jpmml.sklearn

NOTE : This generated class can be safely deleted if installing in a GWT installation (use StringProvider instead)

StreamProvider(Reader) - Constructor for class org.jpmml.sklearn.StreamProvider

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

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

StringProvider - Class in org.jpmml.sklearn

StringProvider(String) - Constructor for class org.jpmml.sklearn.StringProvider

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

SwitchTo(int) - Method in class org.jpmml.sklearn.ExpressionTranslatorTokenManager

Switch to specified lex state.

T

tabSize - Variable in class org.jpmml.sklearn.SimpleCharStream

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

toContinuousFeature() - Method in class tpot.builtins.CategoricalOutputFeature

toContinuousFeature(DataType) - Method in class tpot.builtins.CategoricalOutputFeature

toContinuousFeature() - Method in class tpot.builtins.ContinuousOutputFeature

toContinuousFeature(DataType) - Method in class tpot.builtins.ContinuousOutputFeature

toDescr() - Method in class numpy.DType

token - Variable in class org.jpmml.sklearn.ExpressionTranslator

Current token.

Token - Class in org.jpmml.sklearn

Describes the input token stream.

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

No-argument constructor

Token(int) - Constructor for class org.jpmml.sklearn.Token

Constructs a new token for the specified Image.

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

Constructs a new token for the specified Image and Kind.

token_source - Variable in class org.jpmml.sklearn.ExpressionTranslator

Generated Token Manager.

tokenImage - Static variable in interface org.jpmml.sklearn.ExpressionTranslatorConstants

Literal token values.

tokenImage - Variable in exception org.jpmml.sklearn.ParseException

This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.

TokenMgrException - Exception in org.jpmml.sklearn

Token Manager Error.

TokenMgrException() - Constructor for exception org.jpmml.sklearn.TokenMgrException

No arg constructor.

TokenMgrException(String, int) - Constructor for exception org.jpmml.sklearn.TokenMgrException

Constructor with message and reason.

TokenMgrException(boolean, int, int, int, String, int, int) - Constructor for exception org.jpmml.sklearn.TokenMgrException

Full Constructor.

toString() - Method in class joblib.NDArrayWrapper

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

toString() - Method in class org.jpmml.sklearn.Token

Returns the image.

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

tpot.builtins - package tpot.builtins

trackLineColumn - Variable in class org.jpmml.sklearn.SimpleCharStream

transform(E, M) - 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<? extends HasArray>) - Static method in class sklearn.ensemble.bagging.BaggingUtil

translate(String, List<Feature>) - Static method in class org.jpmml.sklearn.ExpressionTranslator

Tree - Class in sklearn.tree

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

TreeClassifier - Class in sklearn.tree

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

TreeModelCompactor - Class in org.jpmml.sklearn.visitors

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

TreeModelFlattener - Class in org.jpmml.sklearn.visitors

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

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

UnaryExpression() - Method in class org.jpmml.sklearn.ExpressionTranslator

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

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

UpdateLineColumn(char) - Method in class org.jpmml.sklearn.SimpleCharStream

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

V

Verification - Class in sklearn2pmml

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

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

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

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

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

XMLUtil - Class in org.jpmml.sklearn

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 _