Uses of Class
org.jpmml.evaluator.ValueFactory

Packages that use ValueFactory

Package	Description
org.jpmml.evaluator
org.jpmml.evaluator.mining
org.jpmml.evaluator.support_vector_machine

Uses of ValueFactory in org.jpmml.evaluator

Methods in org.jpmml.evaluator that return ValueFactory

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

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

Modifier and Type	Method	Description
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)
static <V extends Number> Map<String,? extends Classification<?,V>>	TargetUtil.evaluateClassificationDefault(ValueFactory<V> valueFactory, List<TargetField> targetFields)
static <V extends Number> Map<String,? extends Classification<?,V>>	TargetUtil.evaluateClassificationDefault(ValueFactory<V> valueFactory, TargetField targetField)
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<String,?>	TargetUtil.evaluateRegressionDefault(ValueFactory<V> valueFactory, List<TargetField> targetFields)
static <V extends Number> Map<String,?>	TargetUtil.evaluateRegressionDefault(ValueFactory<V> valueFactory, TargetField targetField)
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)

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

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

Uses of ValueFactory in org.jpmml.evaluator.mining

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

Modifier and Type	Method	Description
static <V extends Number> ValueMap<Object,V>	MiningModelUtil.aggregateProbabilities(ValueFactory<V> valueFactory, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.mining.Segmentation.MissingPredictionTreatment missingPredictionTreatment, Number missingThreshold, List<?> categories, List<SegmentResult> segmentResults)
static <V extends Number> Value<V>	MiningModelUtil.aggregateValues(ValueFactory<V> valueFactory, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.mining.Segmentation.MissingPredictionTreatment missingPredictionTreatment, Number missingThreshold, List<SegmentResult> segmentResults)
static <V extends Number> ValueMap<Object,V>	MiningModelUtil.aggregateVotes(ValueFactory<V> valueFactory, org.dmg.pmml.mining.Segmentation.MultipleModelMethod multipleModelMethod, org.dmg.pmml.mining.Segmentation.MissingPredictionTreatment missingPredictionTreatment, Number missingThreshold, List<SegmentResult> segmentResults)

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	Description
static <V extends Number> Value<V>	KernelUtil.evaluate(org.dmg.pmml.support_vector_machine.Kernel kernel, ValueFactory<V> valueFactory, Object input, Object vector)
static <V extends Number> Value<V>	KernelUtil.evaluateLinearKernel(org.dmg.pmml.support_vector_machine.LinearKernel linearKernel, ValueFactory<V> valueFactory, Object input, Object vector)
static <V extends Number> Value<V>	KernelUtil.evaluatePolynomialKernel(org.dmg.pmml.support_vector_machine.PolynomialKernel polynomialKernel, ValueFactory<V> valueFactory, Object input, Object vector)
static <V extends Number> Value<V>	KernelUtil.evaluateRadialBasisKernel(org.dmg.pmml.support_vector_machine.RadialBasisKernel radialBasisKernel, ValueFactory<V> valueFactory, Object input, Object vector)
static <V extends Number> Value<V>	KernelUtil.evaluateSigmoidKernel(org.dmg.pmml.support_vector_machine.SigmoidKernel sigmoidKernel, ValueFactory<V> valueFactory, Object input, Object vector)