org.jpmml.converter.regression

Class RegressionModelUtil

java.lang.Object

org.jpmml.converter.regression.RegressionModelUtil

public class RegressionModelUtil
extends Object

Method Summary

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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

createRegression

public static org.dmg.pmml.regression.RegressionModel createRegression(List<? extends Feature> features,
                                                                       List<? extends Number> coefficients,
                                                                       Number intercept,
                                                                       org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                       Schema schema)

createRegression

public static org.dmg.pmml.regression.RegressionModel 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)

createBinaryLogisticClassification

public static org.dmg.pmml.regression.RegressionModel createBinaryLogisticClassification(List<? extends Feature> features,
                                                                                         List<? extends Number> coefficients,
                                                                                         Number intercept,
                                                                                         org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                                         boolean hasProbabilityDistribution,
                                                                                         Schema schema)

createBinaryLogisticClassification

public static org.dmg.pmml.regression.RegressionModel 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)

createOrdinalClassification

public static org.dmg.pmml.regression.RegressionModel createOrdinalClassification(Feature feature,
                                                                                  List<? extends Number> thresholds,
                                                                                  org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                                  boolean hasProbabilityDistribution,
                                                                                  Schema schema)

createOrdinalClassification

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

createRegressionTable

public static org.dmg.pmml.regression.RegressionTable createRegressionTable(List<? extends Feature> features,
                                                                            List<? extends Number> coefficients,
                                                                            Number intercept)

createRegressionTable

public static org.dmg.pmml.regression.RegressionTable createRegressionTable(org.dmg.pmml.MathContext mathContext,
                                                                            List<? extends Feature> features,
                                                                            List<? extends Number> coefficients,
                                                                            Number intercept)