Uses of Class
org.jpmml.evaluator.Value

Packages that use Value

Package	Description
org.jpmml.evaluator
org.jpmml.evaluator.general_regression
org.jpmml.evaluator.mining
org.jpmml.evaluator.neural_network
org.jpmml.evaluator.regression

Uses of Value in org.jpmml.evaluator

Subclasses of Value in org.jpmml.evaluator

Modifier and Type	Class and Description
class	DoubleValue
class	FloatValue
class	ReportingDoubleValue
class	ReportingFloatValue

Methods in org.jpmml.evaluator that return Value

Modifier and Type	Method and Description
abstract Value<V>	Value.abs()
abstract Value<V>	Value.add(double value)
abstract Value<V>	Value.add(double coefficient, Number... factors) Adds coefficient * product(factors).
abstract Value<V>	Value.add(double coefficient, Number factor) Adds coefficient * factor.
abstract Value<V>	Value.add(double coefficient, Number factor, int exponent) Adds coefficient * (factor ^ exponent).
abstract Value<V>	Value.add(double coefficient, Number firstFactor, Number secondFactor)
abstract Value<V>	Value.add(Value<? extends Number> value)
abstract Value<V>	Value.arctan()
Value<V>	ValueAggregator.average()
static <V extends Number> Value<V>	MeasureUtil.calculateAdjustment(ValueFactory<V> valueFactory, List<FieldValue> values)
static <V extends Number> Value<V>	MeasureUtil.calculateAdjustment(ValueFactory<V> valueFactory, List<FieldValue> values, List<? extends Number> adjustmentValues)
abstract Value<V>	Value.ceiling()
abstract Value<V>	Value.copy()
abstract Value<V>	Value.cos()
abstract Value<V>	Value.denormalize(double leftOrig, double leftNorm, double rightOrig, double rightNorm)
static <V extends Number> Value<V>	NormalizationUtil.denormalize(org.dmg.pmml.NormContinuous normContinuous, Value<V> value)
abstract Value<V>	Value.divide(double value)
abstract Value<V>	Value.divide(Value<? extends Number> value)
abstract Value<V>	Value.elliott()
protected Value<V>	ValueMap.ensureValue(K key)
static <V extends Number> Value<V>	MeasureUtil.evaluateDistance(ValueFactory<V> valueFactory, org.dmg.pmml.ComparisonMeasure comparisonMeasure, List<? extends org.dmg.pmml.ComparisonField<?>> comparisonFields, List<FieldValue> values, List<FieldValue> referenceValues, Value<V> adjustment)
static <V extends Number> Value<V>	TargetUtil.evaluateRegressionInternal(TargetField targetField, Value<V> value)
static <V extends Number> Value<V>	MeasureUtil.evaluateSimilarity(ValueFactory<V> valueFactory, org.dmg.pmml.ComparisonMeasure comparisonMeasure, List<? extends org.dmg.pmml.ComparisonField<?>> comparisonFields, BitSet flags, BitSet referenceFlags)
abstract Value<V>	Value.exp()
abstract Value<V>	Value.floor()
abstract Value<V>	Value.gauss()
abstract Value<V>	Value.gaussSim(double value)
abstract Value<V>	Vector.get(int index)
Value<Double>	DoubleVector.get(int index)
Value<Float>	FloatVector.get(int index)
Value<V>	Regression.getValue()
abstract Value<V>	Value.inverseCauchit()
abstract Value<V>	Value.inverseCloglog()
abstract Value<V>	Value.inverseLogc()
abstract Value<V>	Value.inverseLogit()
abstract Value<V>	Value.inverseLoglog()
abstract Value<V>	Value.inverseNegbin(double value)
abstract Value<V>	Value.inverseOddspower(double value)
abstract Value<V>	Value.inversePower(double value)
abstract Value<V>	Value.inverseProbit()
abstract Value<V>	Vector.max()
Value<Double>	DoubleVector.max()
Value<Float>	FloatVector.max()
abstract Value<V>	Vector.median()
Value<Double>	DoubleVector.median()
Value<V>	ValueAggregator.median()
Value<Float>	FloatVector.median()
abstract Value<V>	Value.multiply(double value)
abstract Value<V>	Value.multiply(Number factor, double exponent) Multiplies by factor ^ exponent.
abstract Value<V>	Value.multiply(Value<? extends Number> value)
Value<Float>	ValueFactoryFactory.FloatValueFactory.newValue()
Value<Double>	ValueFactoryFactory.DoubleValueFactory.newValue()
Value<Float>	ReportingValueFactoryFactory.ReportingFloatValueFactory.newValue()
Value<Double>	ReportingValueFactoryFactory.ReportingDoubleValueFactory.newValue()
abstract Value<V>	ValueFactory.newValue() Creates a value, which is "silently" set to the zero value.
Value<Float>	ValueFactoryFactory.FloatValueFactory.newValue(double value)
Value<Double>	ValueFactoryFactory.DoubleValueFactory.newValue(double value)
Value<Float>	ReportingValueFactoryFactory.ReportingFloatValueFactory.newValue(double value)
Value<Double>	ReportingValueFactoryFactory.ReportingDoubleValueFactory.newValue(double value)
abstract Value<V>	ValueFactory.newValue(double value) Creates a value, which is "vocally" set to the specified value.
Value<Float>	ValueFactoryFactory.FloatValueFactory.newValue(Number value)
Value<Double>	ValueFactoryFactory.DoubleValueFactory.newValue(Number value)
Value<Float>	ReportingValueFactoryFactory.ReportingFloatValueFactory.newValue(Number value)
Value<Double>	ReportingValueFactoryFactory.ReportingDoubleValueFactory.newValue(Number value)
abstract Value<V>	ValueFactory.newValue(Number value)
Value<Float>	ValueFactoryFactory.FloatValueFactory.newValue(String value)
Value<Double>	ValueFactoryFactory.DoubleValueFactory.newValue(String value)
Value<Float>	ReportingValueFactoryFactory.ReportingFloatValueFactory.newValue(String value)
Value<Double>	ReportingValueFactoryFactory.ReportingDoubleValueFactory.newValue(String value)
abstract Value<V>	ValueFactory.newValue(String value)
abstract Value<V>	Value.power(double value)
static <V extends Number> Value<V>	TargetUtil.processValue(org.dmg.pmml.Target target, Value<V> value)
abstract Value<V>	Value.reciprocal()
abstract Value<V>	Value.relu()
abstract Value<V>	Value.residual(Value<? extends Number> value)
abstract Value<V>	Value.restrict(double lowValue, double highValue)
abstract Value<V>	Value.round()
abstract Value<V>	Value.sin()
abstract Value<V>	Value.square()
abstract Value<V>	Value.subtract(double value)
abstract Value<V>	Value.subtract(Value<? extends Number> value)
abstract Value<V>	Vector.sum()
Value<Double>	DoubleVector.sum()
Value<V>	ValueAggregator.sum()
Value<Float>	FloatVector.sum()
static <V extends Number> Value<V>	ValueUtil.sum(Iterable<Value<V>> values)
abstract Value<V>	Value.tanh()
abstract Value<V>	Value.threshold(double value)
Value<V>	ValueAggregator.weightedAverage()
Value<V>	ValueAggregator.weightedMedian()
Value<V>	ValueAggregator.weightedSum()

Methods in org.jpmml.evaluator that return types with arguments of type Value

Modifier and Type	Method and Description
protected Map<K,Value<V>>	KeyValueAggregator.asTransformedMap(com.google.common.base.Function<Vector<V>,Value<V>> function)
protected static <V extends Number> com.google.common.collect.Ordering<Map.Entry<String,Value<V>>>	Classification.createOrdering(Classification.Type type)
protected Set<Map.Entry<String,Value<V>>>	Classification.entrySet()
protected Map.Entry<String,Value<V>>	Classification.getWinner()
static <V extends Number> Map.Entry<String,Value<V>>	Classification.getWinner(Classification.Type type, Collection<Map.Entry<String,Value<V>>> entries)
static <V extends Number> List<Map.Entry<String,Value<V>>>	Classification.getWinnerList(Classification.Type type, Collection<Map.Entry<String,Value<V>>> entries)
protected List<Map.Entry<String,Value<V>>>	Classification.getWinnerRanking()
Iterator<Value<V>>	ValueMap.iterator()

Methods in org.jpmml.evaluator with parameters of type Value

Modifier and Type	Method and Description
ReportingDoubleValue	ReportingDoubleValue.add(Value<? extends Number> value)
ReportingFloatValue	ReportingFloatValue.add(Value<? extends Number> value)
FloatValue	FloatValue.add(Value<? extends Number> value)
abstract Value<V>	Value.add(Value<? extends Number> value)
DoubleValue	DoubleValue.add(Value<? extends Number> value)
int	DoubleValue.compareTo(Value<Double> that)
int	FloatValue.compareTo(Value<Float> that)
<V extends Number> int	Classification.Type.compareValues(Value<V> left, Value<V> right)
<V extends Number> int	Classification.Type.compareValues(Value<V> left, Value<V> right)
static <V extends Number> Value<V>	NormalizationUtil.denormalize(org.dmg.pmml.NormContinuous normContinuous, Value<V> value)
ReportingDoubleValue	ReportingDoubleValue.divide(Value<? extends Number> value)
ReportingFloatValue	ReportingFloatValue.divide(Value<? extends Number> value)
FloatValue	FloatValue.divide(Value<? extends Number> value)
abstract Value<V>	Value.divide(Value<? extends Number> value)
DoubleValue	DoubleValue.divide(Value<? extends Number> value)
static <V extends Number> Value<V>	MeasureUtil.evaluateDistance(ValueFactory<V> valueFactory, org.dmg.pmml.ComparisonMeasure comparisonMeasure, List<? extends org.dmg.pmml.ComparisonField<?>> comparisonFields, List<FieldValue> values, List<FieldValue> referenceValues, Value<V> adjustment)
static <V extends Number> Map<org.dmg.pmml.FieldName,?>	TargetUtil.evaluateRegression(TargetField targetField, Value<V> value)
static <V extends Number> Value<V>	TargetUtil.evaluateRegressionInternal(TargetField targetField, Value<V> value)
static Report	ReportUtil.getReport(Value<?> value)
<V extends Number> Double	Classification.Type.getValue(Value<V> value)
<V extends Number> boolean	Classification.Type.isValidValue(Value<V> value)
ReportingDoubleValue	ReportingDoubleValue.multiply(Value<? extends Number> value)
ReportingFloatValue	ReportingFloatValue.multiply(Value<? extends Number> value)
FloatValue	FloatValue.multiply(Value<? extends Number> value)
abstract Value<V>	Value.multiply(Value<? extends Number> value)
DoubleValue	DoubleValue.multiply(Value<? extends Number> value)
static <V extends Number> Value<V>	TargetUtil.processValue(org.dmg.pmml.Target target, Value<V> value)
void	EntityClassification.put(E entity, String key, Value<V> value)
void	EntityClassification.put(E entity, Value<V> value)
void	Classification.put(String key, Value<V> value)
ReportingDoubleValue	ReportingDoubleValue.residual(Value<? extends Number> value)
ReportingFloatValue	ReportingFloatValue.residual(Value<? extends Number> value)
FloatValue	FloatValue.residual(Value<? extends Number> value)
abstract Value<V>	Value.residual(Value<? extends Number> value)
DoubleValue	DoubleValue.residual(Value<? extends Number> value)
ReportingDoubleValue	ReportingDoubleValue.subtract(Value<? extends Number> value)
ReportingFloatValue	ReportingFloatValue.subtract(Value<? extends Number> value)
FloatValue	FloatValue.subtract(Value<? extends Number> value)
abstract Value<V>	Value.subtract(Value<? extends Number> value)
DoubleValue	DoubleValue.subtract(Value<? extends Number> value)

Method parameters in org.jpmml.evaluator with type arguments of type Value

Modifier and Type	Method and Description
protected Map<K,Value<V>>	KeyValueAggregator.asTransformedMap(com.google.common.base.Function<Vector<V>,Value<V>> function)
static <V extends Number> Map.Entry<String,Value<V>>	Classification.getWinner(Classification.Type type, Collection<Map.Entry<String,Value<V>>> entries)
static <V extends Number> List<Map.Entry<String,Value<V>>>	Classification.getWinnerList(Classification.Type type, Collection<Map.Entry<String,Value<V>>> entries)
static <V extends Number> void	ValueUtil.normalizeSimpleMax(Iterable<Value<V>> values)
static <V extends Number> void	ValueUtil.normalizeSoftMax(Iterable<Value<V>> values)
static <V extends Number> Value<V>	ValueUtil.sum(Iterable<Value<V>> values)

Constructors in org.jpmml.evaluator with parameters of type Value

Constructor and Description
Regression(Value<V> value)

Constructor parameters in org.jpmml.evaluator with type arguments of type Value

Constructor and Description
ValueMap(Map<K,Value<V>> map)

Uses of Value in org.jpmml.evaluator.general_regression

Methods in org.jpmml.evaluator.general_regression that return Value

Modifier and Type	Method and Description
static <V extends Number> Value<V>	GeneralRegressionModelUtil.computeCumulativeLink(org.dmg.pmml.general_regression.GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction, Value<V> value)
static <V extends Number> Value<V>	GeneralRegressionModelUtil.computeLink(org.dmg.pmml.general_regression.GeneralRegressionModel.LinkFunction linkFunction, Double distParameter, Double linkParameter, Value<V> value)

Methods in org.jpmml.evaluator.general_regression with parameters of type Value

Modifier and Type	Method and Description
static <V extends Number> Value<V>	GeneralRegressionModelUtil.computeCumulativeLink(org.dmg.pmml.general_regression.GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction, Value<V> value)
static <V extends Number> Value<V>	GeneralRegressionModelUtil.computeLink(org.dmg.pmml.general_regression.GeneralRegressionModel.LinkFunction linkFunction, Double distParameter, Double linkParameter, Value<V> value)

Uses of Value in org.jpmml.evaluator.mining

Methods in org.jpmml.evaluator.mining that return Value

Modifier and Type	Method and Description
static <V extends Number> Value<V>	MiningModelUtil.aggregateValues(ValueFactory<V> valueFactory, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, List<SegmentResult> segmentResults)

Uses of Value in org.jpmml.evaluator.neural_network

Methods in org.jpmml.evaluator.neural_network that return Value

Modifier and Type	Method and Description
static <V extends Number> Value<V>	NeuralNetworkUtil.activateNeuronOutput(org.dmg.pmml.neural_network.NeuralNetwork.ActivationFunction activationFunction, Double threshold, Value<V> value)

Methods in org.jpmml.evaluator.neural_network that return types with arguments of type Value

Modifier and Type	Method and Description
static <V extends Number> Collection<Value<V>>	NeuralNetworkUtil.normalizeNeuralLayerOutputs(org.dmg.pmml.neural_network.NeuralNetwork.NormalizationMethod normalizationMethod, Collection<Value<V>> values)

Methods in org.jpmml.evaluator.neural_network with parameters of type Value

Modifier and Type	Method and Description
static <V extends Number> Value<V>	NeuralNetworkUtil.activateNeuronOutput(org.dmg.pmml.neural_network.NeuralNetwork.ActivationFunction activationFunction, Double threshold, Value<V> value)

Method parameters in org.jpmml.evaluator.neural_network with type arguments of type Value

Modifier and Type	Method and Description
static <V extends Number> Collection<Value<V>>	NeuralNetworkUtil.normalizeNeuralLayerOutputs(org.dmg.pmml.neural_network.NeuralNetwork.NormalizationMethod normalizationMethod, Collection<Value<V>> values)

Uses of Value in org.jpmml.evaluator.regression

Methods in org.jpmml.evaluator.regression that return Value

Modifier and Type	Method and Description
static <V extends Number> Value<V>	RegressionModelUtil.normalizeBinaryLogisticClassificationResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Value<V> value)
static <V extends Number> Value<V>	RegressionModelUtil.normalizeRegressionResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Value<V> value)

Methods in org.jpmml.evaluator.regression with parameters of type Value

Modifier and Type	Method and Description
static <V extends Number> Value<V>	RegressionModelUtil.normalizeBinaryLogisticClassificationResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Value<V> value)
static <V extends Number> Value<V>	RegressionModelUtil.normalizeRegressionResult(org.dmg.pmml.regression.RegressionModel.NormalizationMethod normalizationMethod, Value<V> value)