Uses of Interface
org.jpmml.sparkml.model.HasRegressionTableOptions

Packages that use HasRegressionTableOptions

Package	Description
org.jpmml.sparkml.model

Uses of HasRegressionTableOptions in org.jpmml.sparkml.model

Classes in org.jpmml.sparkml.model that implement HasRegressionTableOptions

Modifier and Type	Class and Description
class	GeneralizedLinearRegressionModelConverter
class	LinearRegressionModelConverter
class	LinearSVCModelConverter
class	LogisticRegressionModelConverter
class	NaiveBayesModelConverter

Methods in org.jpmml.sparkml.model with type parameters of type HasRegressionTableOptions

Modifier and Type	Method and Description
static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model	LinearModelUtil.createBinaryLogisticClassification(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema)
static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model	LinearModelUtil.createRegression(C converter, org.apache.spark.ml.linalg.Vector coefficients, double intercept, org.jpmml.converter.Schema schema)
static <C extends ModelConverter<?> & HasRegressionTableOptions> org.dmg.pmml.Model	LinearModelUtil.createSoftmaxClassification(C converter, org.apache.spark.ml.linalg.Matrix coefficients, org.apache.spark.ml.linalg.Vector intercepts, org.jpmml.converter.Schema schema)
static <C extends ModelConverter<?> & HasRegressionTableOptions> void	RegressionTableUtil.simplify(C converter, Object identifier, List<org.jpmml.converter.Feature> features, List<Double> coefficients)