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