Uses of Class
org.jpmml.converter.Feature

Packages that use Feature

Package	Description
org.jpmml.converter
org.jpmml.converter.clustering
org.jpmml.converter.general_regression
org.jpmml.converter.neural_network
org.jpmml.converter.regression

Uses of Feature in org.jpmml.converter

Subclasses of Feature in org.jpmml.converter

Modifier and Type	Class and Description
class	ArrayFeature
class	BinaryFeature
class	BinaryThresholdFeature
class	BooleanFeature
class	CategoricalFeature
class	ConstantFeature
class	ContinuousFeature
class	IndexFeature
class	InteractionFeature
class	MissingValueFeature
class	ObjectFeature
class	PowerFeature
class	ProductFeature
class	StringFeature
class	ThresholdFeature
class	WildcardFeature

Methods in org.jpmml.converter that return Feature

Modifier and Type	Method and Description
static Feature	FeatureUtil.createFeature(org.dmg.pmml.Field<?> field, PMMLEncoder encoder)
static Feature	FeatureUtil.findFeature(List<? extends Feature> features, String name)
static Feature	FeatureUtil.findLabelFeature(List<? extends Feature> features, ScalarLabel scalarLabel)
Feature	ProductFeature.getFeature()
Feature	Schema.getFeature(int index)
Feature	FeatureList.resolveFeature(String name)
Feature	FeatureResolver.resolveFeature(String name)
Feature	DerivedOutputField.toFeature(PMMLEncoder encoder)

Methods in org.jpmml.converter that return types with arguments of type Feature

Modifier and Type	Method and Description
Map<org.dmg.pmml.Model,com.google.common.collect.ListMultimap<Feature,Number>>	ModelEncoder.getFeatureImportances()
List<? extends Feature>	InteractionFeature.getFeatures()
List<? extends Feature>	Schema.getFeatures()
List<Feature>	ArrayFeature.getFeatures()
List<? extends Feature>	InteractionFeature.getInputFeatures()

Methods in org.jpmml.converter with parameters of type Feature

Modifier and Type	Method and Description
void	ModelEncoder.addFeatureImportance(Feature feature, Number importance)
void	ModelEncoder.addFeatureImportance(org.dmg.pmml.Model model, Feature feature, Number importance)
org.dmg.pmml.Predicate	PredicateManager.createPredicate(Feature feature, List<?> values)
org.dmg.pmml.Predicate	PredicateManager.createSimplePredicate(Feature feature, org.dmg.pmml.SimplePredicate.Operator operator, Object value)
org.dmg.pmml.Predicate	PredicateManager.createSimpleSetPredicate(Feature feature, org.dmg.pmml.SimpleSetPredicate.BooleanOperator booleanOperator, List<?> values)
static String	FeatureUtil.getName(Feature feature)

Method parameters in org.jpmml.converter with type arguments of type Feature

Modifier and Type	Method and Description
static void	SchemaUtil.checkSize(int size, DiscreteLabel discreteLabel, List<? extends Feature> features)
static void	SchemaUtil.checkSize(int size, List<? extends Feature> features)
static Feature	FeatureUtil.findFeature(List<? extends Feature> features, String name)
static Feature	FeatureUtil.findLabelFeature(List<? extends Feature> features, ScalarLabel scalarLabel)
static List<String>	FeatureUtil.formatNames(List<? extends Feature> features, char quoteChar)
static org.dmg.pmml.DataType	ArrayFeature.getDataType(List<Feature> features)
Schema	Schema.toTransformedSchema(Function<Feature,Feature> function)
Schema	Schema.toTransformedSchema(Function<Feature,Feature> function)

Constructors in org.jpmml.converter with parameters of type Feature

Constructor and Description
BinaryFeature(PMMLEncoder encoder, Feature feature, Object value)
BooleanFeature(PMMLEncoder encoder, Feature feature)
CategoricalFeature(PMMLEncoder encoder, Feature feature, List<?> values)
ContinuousFeature(PMMLEncoder encoder, Feature feature)
IndexFeature(PMMLEncoder encoder, Feature feature, List<? extends Number> values)
MissingValueFeature(PMMLEncoder encoder, Feature feature)
PowerFeature(PMMLEncoder encoder, Feature feature, int power)
ProductFeature(PMMLEncoder encoder, Feature feature, Number factor)
StringFeature(PMMLEncoder encoder, Feature feature)

Constructor parameters in org.jpmml.converter with type arguments of type Feature

Constructor and Description
ArrayFeature(PMMLEncoder encoder, List<Feature> features)
FeatureList(List<? extends Feature> features, List<String> names)
InteractionFeature(PMMLEncoder encoder, org.dmg.pmml.Field<?> field, List<? extends Feature> features)
InteractionFeature(PMMLEncoder encoder, String name, org.dmg.pmml.DataType dataType, List<? extends Feature> features)
Schema(PMMLEncoder encoder, Label label, List<? extends Feature> features)

Uses of Feature in org.jpmml.converter.clustering

Method parameters in org.jpmml.converter.clustering with type arguments of type Feature

Modifier and Type	Method and Description
static List<org.dmg.pmml.clustering.ClusteringField>	ClusteringModelUtil.createClusteringFields(List<? extends Feature> features)
static List<org.dmg.pmml.clustering.ClusteringField>	ClusteringModelUtil.createClusteringFields(List<? extends Feature> features, List<? extends Number> weights)

Uses of Feature in org.jpmml.converter.general_regression

Method parameters in org.jpmml.converter.general_regression with type arguments of type Feature

Modifier and Type	Method and Description
static org.dmg.pmml.general_regression.GeneralRegressionModel	GeneralRegressionModelUtil.encodeRegressionTable(org.dmg.pmml.general_regression.GeneralRegressionModel generalRegressionModel, List<? extends Feature> features, List<? extends Number> coefficients, Number intercept, Object targetCategory)
static org.dmg.pmml.general_regression.GeneralRegressionModel	GeneralRegressionModelUtil.encodeRegressionTable(org.dmg.pmml.MathContext mathContext, org.dmg.pmml.general_regression.GeneralRegressionModel generalRegressionModel, List<? extends Feature> features, List<? extends Number> coefficients, Number intercept, Object targetCategory)

Uses of Feature in org.jpmml.converter.neural_network

Method parameters in org.jpmml.converter.neural_network with type arguments of type Feature

Modifier and Type	Method and Description
static org.dmg.pmml.neural_network.NeuralInputs	NeuralNetworkUtil.createNeuralInputs(List<? extends Feature> features, org.dmg.pmml.DataType dataType)

Uses of Feature in org.jpmml.converter.regression

Methods in org.jpmml.converter.regression with parameters of type Feature

Modifier and Type	Method and Description
static org.dmg.pmml.regression.RegressionModel	RegressionModelUtil.createOrdinalClassification(Feature feature, List<? extends Number> thresholds, org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, boolean hasProbabilityDistribution, Schema schema)
static org.dmg.pmml.regression.RegressionModel	RegressionModelUtil.createOrdinalClassification(org.dmg.pmml.MathContext mathContext, Feature feature, List<? extends Number> thresholds, org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, boolean hasProbabilityDistribution, Schema schema)

Method parameters in org.jpmml.converter.regression with type arguments of type Feature

Modifier and Type	Method and Description
static org.dmg.pmml.regression.RegressionModel	RegressionModelUtil.createBinaryLogisticClassification(List<? extends Feature> features, List<? extends Number> coefficients, Number intercept, org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, boolean hasProbabilityDistribution, Schema schema)
static org.dmg.pmml.regression.RegressionModel	RegressionModelUtil.createBinaryLogisticClassification(org.dmg.pmml.MathContext mathContext, List<? extends Feature> features, List<? extends Number> coefficients, Number intercept, org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, boolean hasProbabilityDistribution, Schema schema)
static org.dmg.pmml.regression.RegressionModel	RegressionModelUtil.createRegression(List<? extends Feature> features, List<? extends Number> coefficients, Number intercept, org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Schema schema)
static org.dmg.pmml.regression.RegressionModel	RegressionModelUtil.createRegression(org.dmg.pmml.MathContext mathContext, List<? extends Feature> features, List<? extends Number> coefficients, Number intercept, org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Schema schema)
static org.dmg.pmml.regression.RegressionTable	RegressionModelUtil.createRegressionTable(List<? extends Feature> features, List<? extends Number> coefficients, Number intercept)
static org.dmg.pmml.regression.RegressionTable	RegressionModelUtil.createRegressionTable(org.dmg.pmml.MathContext mathContext, List<? extends Feature> features, List<? extends Number> coefficients, Number intercept)