Uses of Class
org.jpmml.evaluator.ValueFactory

Packages that use ValueFactory

Package	Description
org.jpmml.evaluator
org.jpmml.evaluator.association
org.jpmml.evaluator.clustering
org.jpmml.evaluator.general_regression
org.jpmml.evaluator.java
org.jpmml.evaluator.mining
org.jpmml.evaluator.naive_bayes
org.jpmml.evaluator.nearest_neighbor
org.jpmml.evaluator.neural_network
org.jpmml.evaluator.regression
org.jpmml.evaluator.rule_set
org.jpmml.evaluator.scorecard
org.jpmml.evaluator.support_vector_machine
org.jpmml.evaluator.tree

Uses of ValueFactory in org.jpmml.evaluator

Subclasses of ValueFactory in org.jpmml.evaluator

Modifier and Type	Class and Description
protected static class	ValueFactoryFactory.DoubleValueFactory
protected static class	ValueFactoryFactory.FloatValueFactory

Methods in org.jpmml.evaluator that return ValueFactory

Modifier and Type	Method and Description
protected ValueFactory<?>	ModelEvaluator.ensureValueFactory()
ValueFactory<V>	KeyValueAggregator.getValueFactory()
protected ValueFactory<V>	ValueMap.getValueFactory()
ValueFactory<?>	ValueFactoryFactory.newValueFactory(org.dmg.pmml.MathContext mathContext)

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

Modifier and Type	Method and Description
static <V extends java.lang.Number> Value<V>	MeasureUtil.calculateAdjustment(ValueFactory<V> valueFactory, java.util.List<FieldValue> values)
static <V extends java.lang.Number> Value<V>	MeasureUtil.calculateAdjustment(ValueFactory<V> valueFactory, java.util.List<FieldValue> values, java.util.List<? extends java.lang.Number> adjustmentValues)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ModelEvaluator.evaluateAssociationRules(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
static <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	TargetUtil.evaluateClassificationDefault(ValueFactory<V> valueFactory, java.util.List<TargetField> targetFields)
static <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	TargetUtil.evaluateClassificationDefault(ValueFactory<V> valueFactory, TargetField targetField)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ModelEvaluator.evaluateClustering(ValueFactory<V> valueFactory, EvaluationContext context)
static <V extends java.lang.Number> Value<V>	MeasureUtil.evaluateDistance(ValueFactory<V> valueFactory, org.dmg.pmml.ComparisonMeasure comparisonMeasure, java.util.List<? extends org.dmg.pmml.ComparisonField<?>> comparisonFields, java.util.List<FieldValue> values, java.util.List<FieldValue> referenceValues, Value<V> adjustment)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ModelEvaluator.evaluateMixed(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)
static <V extends java.lang.Number> java.util.Map<java.lang.String,?>	TargetUtil.evaluateRegressionDefault(ValueFactory<V> valueFactory, java.util.List<TargetField> targetFields)
static <V extends java.lang.Number> java.util.Map<java.lang.String,?>	TargetUtil.evaluateRegressionDefault(ValueFactory<V> valueFactory, TargetField targetField)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ModelEvaluator.evaluateSequences(ValueFactory<V> valueFactory, EvaluationContext context)
static <V extends java.lang.Number> Value<V>	MeasureUtil.evaluateSimilarity(ValueFactory<V> valueFactory, org.dmg.pmml.ComparisonMeasure comparisonMeasure, java.util.List<? extends org.dmg.pmml.ComparisonField<?>> comparisonFields, java.util.BitSet flags, java.util.BitSet referenceFlags)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ModelEvaluator.evaluateTimeSeries(ValueFactory<V> valueFactory, EvaluationContext context)

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

Constructor and Description
Average(ValueFactory<V> valueFactory)
KeyValueAggregator(ValueFactory<V> valueFactory, int capacity)
Max(ValueFactory<V> valueFactory, int capacity)
Median(ValueFactory<V> valueFactory, int capacity)
Median(ValueFactory<V> valueFactory, int capacity)
ProbabilityAggregator(ValueFactory<V> valueFactory, int capacity)
ProbabilityAggregator(ValueFactory<V> valueFactory, int capacity, boolean weighted)
UnivariateStatistic(ValueFactory<V> valueFactory)
WeightedAverage(ValueFactory<V> valueFactory)
WeightedMedian(ValueFactory<V> valueFactory, int capacity)
WeightedUnivariateStatistic(ValueFactory<V> valueFactory)
VoteAggregator(ValueFactory<V> valueFactory)

Uses of ValueFactory in org.jpmml.evaluator.association

Methods in org.jpmml.evaluator.association with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,Association>	AssociationModelEvaluator.evaluateAssociationRules(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.clustering

Methods in org.jpmml.evaluator.clustering with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,ClusterAffinityDistribution<V>>	ClusteringModelEvaluator.evaluateClustering(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.general_regression

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

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	GeneralRegressionModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	GeneralRegressionModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.java

Methods in org.jpmml.evaluator.java with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	JavaModel.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	JavaModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	JavaModel.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	JavaModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.mining

Methods in org.jpmml.evaluator.mining with parameters of type ValueFactory

Modifier and Type	Method and Description
static <V extends java.lang.Number> ValueMap<java.lang.Object,V>	MiningModelUtil.aggregateProbabilities(ValueFactory<V> valueFactory, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.mining.Segmentation.MissingPredictionTreatment missingPredictionTreatment, java.lang.Number missingThreshold, java.util.List<?> categories, java.util.List<SegmentResult> segmentResults)
static <V extends java.lang.Number> Value<V>	MiningModelUtil.aggregateValues(ValueFactory<V> valueFactory, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.mining.Segmentation.MissingPredictionTreatment missingPredictionTreatment, java.lang.Number missingThreshold, java.util.List<SegmentResult> segmentResults)
static <V extends java.lang.Number> ValueMap<java.lang.Object,V>	MiningModelUtil.aggregateVotes(ValueFactory<V> valueFactory, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.mining.Segmentation.MissingPredictionTreatment missingPredictionTreatment, java.lang.Number missingThreshold, java.util.List<SegmentResult> segmentResults)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	MiningModelEvaluator.evaluateAssociationRules(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	MiningModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	MiningModelEvaluator.evaluateClustering(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	MiningModelEvaluator.evaluateMixed(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	MiningModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.naive_bayes

Methods in org.jpmml.evaluator.naive_bayes with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	NaiveBayesModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.nearest_neighbor

Methods in org.jpmml.evaluator.nearest_neighbor with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,AffinityDistribution<V>>	NearestNeighborModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,AffinityDistribution<V>>	NearestNeighborModelEvaluator.evaluateClustering(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,AffinityDistribution<V>>	NearestNeighborModelEvaluator.evaluateMixed(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,AffinityDistribution<V>>	NearestNeighborModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.neural_network

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

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	NeuralNetworkEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	NeuralNetworkEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.regression

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

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	RegressionModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	RegressionModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.rule_set

Methods in org.jpmml.evaluator.rule_set with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	RuleSetModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.scorecard

Methods in org.jpmml.evaluator.scorecard with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ScorecardEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)

Uses of ValueFactory in org.jpmml.evaluator.support_vector_machine

Methods in org.jpmml.evaluator.support_vector_machine with parameters of type ValueFactory

Modifier and Type	Method and Description
static <V extends java.lang.Number> Value<V>	KernelUtil.evaluate(org.dmg.pmml.support_vector_machine.Kernel kernel, ValueFactory<V> valueFactory, java.lang.Object input, java.lang.Object vector)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,? extends Classification<?,V>>	SupportVectorMachineModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
static <V extends java.lang.Number> Value<V>	KernelUtil.evaluateLinearKernel(org.dmg.pmml.support_vector_machine.LinearKernel linearKernel, ValueFactory<V> valueFactory, java.lang.Object input, java.lang.Object vector)
static <V extends java.lang.Number> Value<V>	KernelUtil.evaluatePolynomialKernel(org.dmg.pmml.support_vector_machine.PolynomialKernel polynomialKernel, ValueFactory<V> valueFactory, java.lang.Object input, java.lang.Object vector)
static <V extends java.lang.Number> Value<V>	KernelUtil.evaluateRadialBasisKernel(org.dmg.pmml.support_vector_machine.RadialBasisKernel radialBasisKernel, ValueFactory<V> valueFactory, java.lang.Object input, java.lang.Object vector)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	SupportVectorMachineModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)
static <V extends java.lang.Number> Value<V>	KernelUtil.evaluateSigmoidKernel(org.dmg.pmml.support_vector_machine.SigmoidKernel sigmoidKernel, ValueFactory<V> valueFactory, java.lang.Object input, java.lang.Object vector)

Uses of ValueFactory in org.jpmml.evaluator.tree

Methods in org.jpmml.evaluator.tree with parameters of type ValueFactory

Modifier and Type	Method and Description
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	SimpleTreeModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ComplexTreeModelEvaluator.evaluateClassification(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	SimpleTreeModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)
protected <V extends java.lang.Number> java.util.Map<java.lang.String,?>	ComplexTreeModelEvaluator.evaluateRegression(ValueFactory<V> valueFactory, EvaluationContext context)