Uses of Class
org.jpmml.evaluator.Value

Packages that use Value

Package	Description
org.jpmml.evaluator
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

Methods in org.jpmml.evaluator that return Value

Modifier and Type	Method and Description
abstract Value<V>	Value.add(double value)
abstract Value<V>	Value.add(List<? extends Number> factors, double coefficient)
abstract Value<V>	Value.add(Number factor, int exponent, double coefficient)
abstract Value<V>	Value.add(Value<?> value)
abstract Value<V>	Value.add(Value<?> factor, int exponent, double coefficient)
abstract Value<V>	Value.atan()
Value<V>	ValueAggregator.average()
abstract Value<V>	Value.cauchit()
abstract Value<V>	Value.ceiling()
abstract Value<V>	Value.cloglog()
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<?> value)
abstract Value<V>	Value.elliott()
abstract Value<V>	Value.exp()
abstract Value<V>	Value.floor()
abstract Value<V>	Value.gauss()
abstract Value<V>	Vector.get(int index)
Value<Double>	DoubleVector.get(int index)
Value<Float>	FloatVector.get(int index)
abstract Value<V>	Value.logit()
abstract Value<V>	Value.loglog()
abstract Value<V>	Vector.max()
Value<Double>	DoubleVector.max()
Value<Float>	FloatVector.max()
abstract Value<V>	Vector.median()
Value<Double>	DoubleVector.median()
Value<Float>	FloatVector.median()
Value<V>	ValueAggregator.median()
abstract Value<V>	Value.multiply(double value)
abstract Value<V>	Value.multiply(Value<?> value)
abstract Value<V>	ValueFactory.newValue(double value)
abstract Value<V>	ValueFactory.newValue(Number number)
abstract Value<V>	ValueFactory.newValue(String string)
abstract Value<V>	Value.probit()
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<?> 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<?> value)
abstract Value<V>	Vector.sum()
Value<Double>	DoubleVector.sum()
Value<Float>	FloatVector.sum()
Value<V>	ValueAggregator.sum()
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)
Iterator<Value<V>>	ValueMap.iterator()

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

Modifier and Type	Method and Description
abstract Value<V>	Value.add(Value<?> value)
FloatValue	FloatValue.add(Value<?> value)
DoubleValue	DoubleValue.add(Value<?> value)
abstract Value<V>	Value.add(Value<?> factor, int exponent, double coefficient)
FloatValue	FloatValue.add(Value<?> factor, int exponent, double coefficient)
DoubleValue	DoubleValue.add(Value<?> factor, int exponent, double coefficient)
int	DoubleValue.compareTo(Value<Double> that)
int	FloatValue.compareTo(Value<Float> that)
static <V extends Number> Value<V>	NormalizationUtil.denormalize(org.dmg.pmml.NormContinuous normContinuous, Value<V> value)
abstract Value<V>	Value.divide(Value<?> value)
FloatValue	FloatValue.divide(Value<?> value)
DoubleValue	DoubleValue.divide(Value<?> value)
static <V extends Number> Map<org.dmg.pmml.FieldName,?>	TargetUtil.evaluateRegression(TargetField targetField, Value<V> value)
static <V extends Number> Object	TargetUtil.evaluateRegressionInternal(TargetField targetField, Value<V> value)
abstract Value<V>	Value.multiply(Value<?> value)
FloatValue	FloatValue.multiply(Value<?> value)
DoubleValue	DoubleValue.multiply(Value<?> value)
static <V extends Number> Value<V>	TargetUtil.processValue(org.dmg.pmml.Target target, Value<V> value)
abstract Value<V>	Value.residual(Value<?> value)
FloatValue	FloatValue.residual(Value<?> value)
DoubleValue	DoubleValue.residual(Value<?> value)
abstract Value<V>	Value.subtract(Value<?> value)
FloatValue	FloatValue.subtract(Value<?> value)
DoubleValue	DoubleValue.subtract(Value<?> 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> void	ValueUtil.normalize(Iterable<Value<V>> values)
static <V extends Number> void	ValueUtil.normalize(Iterable<Value<V>> values, boolean exp)

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.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, List<SegmentResult> segmentResults, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod)

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(Value<V> value, Double threshold, org.dmg.pmml.neural_network.NeuralNetwork.ActivationFunction activationFunction)

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(Collection<Value<V>> values, org.dmg.pmml.neural_network.NeuralNetwork.NormalizationMethod normalizationMethod)

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(Value<V> value, Double threshold, org.dmg.pmml.neural_network.NeuralNetwork.ActivationFunction activationFunction)

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(Collection<Value<V>> values, org.dmg.pmml.neural_network.NeuralNetwork.NormalizationMethod normalizationMethod)

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

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