Package org.jpmml.evaluator.regression

Class RegressionModelUtil

java.lang.Object

org.jpmml.evaluator.regression.RegressionModelUtil

public class RegressionModelUtil
extends java.lang.Object

Method Summary

Modifier and Type	Method	Description
static <K,V extends java.lang.Number> ValueMap<K,V>	computeBinomialProbabilities(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, ValueMap<K,V> values)
static <K,V extends java.lang.Number> ValueMap<K,V>	computeMultinomialProbabilities(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, ValueMap<K,V> values)
static <K,V extends java.lang.Number> ValueMap<K,V>	computeOrdinalProbabilities(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, ValueMap<K,V> values)
static <V extends java.lang.Number> Value<V>	normalizeBinaryLogisticClassificationResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Value<V> value)
static <V extends java.lang.Number> Value<V>	normalizeRegressionResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Value<V> value)

Methods inherited from class java.lang.Object

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

Method Detail

computeBinomialProbabilities

public static <K,V extends java.lang.Number> ValueMap<K,V> computeBinomialProbabilities(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                                                    ValueMap<K,V> values)

computeMultinomialProbabilities

public static <K,V extends java.lang.Number> ValueMap<K,V> computeMultinomialProbabilities(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                                                       ValueMap<K,V> values)

computeOrdinalProbabilities

public static <K,V extends java.lang.Number> ValueMap<K,V> computeOrdinalProbabilities(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                                                   ValueMap<K,V> values)

normalizeRegressionResult

public static <V extends java.lang.Number> Value<V> normalizeRegressionResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                              Value<V> value)

normalizeBinaryLogisticClassificationResult

public static <V extends java.lang.Number> Value<V> normalizeBinaryLogisticClassificationResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod,
                                                                                                Value<V> value)