Uses of Class
org.jpmml.model.annotations.Property

Packages that use Property

Package	Description
org.dmg.pmml
org.dmg.pmml.anomaly_detection
org.dmg.pmml.association
org.dmg.pmml.baseline
org.dmg.pmml.bayesian_network
org.dmg.pmml.clustering
org.dmg.pmml.gaussian_process
org.dmg.pmml.general_regression
org.dmg.pmml.mining
org.dmg.pmml.naive_bayes
org.dmg.pmml.nearest_neighbor
org.dmg.pmml.neural_network
org.dmg.pmml.regression
org.dmg.pmml.rule_set
org.dmg.pmml.scorecard
org.dmg.pmml.sequence
org.dmg.pmml.support_vector_machine
org.dmg.pmml.text
org.dmg.pmml.time_series
org.dmg.pmml.tree
org.jpmml.model.cells

Uses of Property in org.dmg.pmml

Method parameters in org.dmg.pmml with annotations of type Property

Modifier and Type	Method and Description
PredictiveModelQuality	PredictiveModelQuality.setAccuracy(Number accuracy)
PredictiveModelQuality	PredictiveModelQuality.setAdjRSquared(Number adjRSquared)
Lag	Lag.setAggregate(String aggregate)
PredictiveModelQuality	PredictiveModelQuality.setAIC(Number aic)
PredictiveModelQuality	PredictiveModelQuality.setAICc(Number aiCc)
OutputField	OutputField.setAlgorithm(OutputField.Algorithm algorithm)
UnivariateStats	UnivariateStats.setAnova(Anova anova)
Header	Header.setApplication(Application application)
CorrelationFields	CorrelationFields.setArray(Array array)
SimpleSetPredicate	SimpleSetPredicate.setArray(Array array)
YCoordinates	YCoordinates.setArray(Array array)
XCoordinates	XCoordinates.setArray(Array array)
ClassLabels	ClassLabels.setArray(Array array)
BoundaryValueMeans	BoundaryValueMeans.setArray(Array array)
BoundaryValues	BoundaryValues.setArray(Array array)
PredictiveModelQuality	PredictiveModelQuality.setAUC(Number auc)
PMML	PMML.setBaseVersion(String baseVersion)
PredictiveModelQuality	PredictiveModelQuality.setBIC(Number bic)
DiscretizeBin	DiscretizeBin.setBinValue(Object binValue)
CompoundPredicate	CompoundPredicate.setBooleanOperator(CompoundPredicate.BooleanOperator booleanOperator)
SimpleSetPredicate	SimpleSetPredicate.setBooleanOperator(SimpleSetPredicate.BooleanOperator booleanOperator)
LiftGraph	LiftGraph.setBoundaryValueMeans(BoundaryValueMeans boundaryValueMeans)
ROCGraph	ROCGraph.setBoundaryValues(BoundaryValues boundaryValues)
LiftGraph	LiftGraph.setBoundaryValues(BoundaryValues boundaryValues)
Decisions	Decisions.setBusinessProblem(String businessProblem)
BinarySimilarity	BinarySimilarity.setC00Parameter(Number c00Parameter)
BinarySimilarity	BinarySimilarity.setC01Parameter(Number c01Parameter)
BinarySimilarity	BinarySimilarity.setC10Parameter(Number c10Parameter)
BinarySimilarity	BinarySimilarity.setC11Parameter(Number c11Parameter)
Counts	Counts.setCardinality(Integer cardinality)
TextIndexNormalization	TextIndexNormalization.setCaseSensitive(Boolean caseSensitive)
TextIndex	TextIndex.setCaseSensitive(Boolean caseSensitive)
Target	Target.setCastInteger(Target.CastInteger castInteger)
MultivariateStat	MultivariateStat.setCategory(Object category)
ChildParent	ChildParent.setChildField(String childField)
MultivariateStat	MultivariateStat.setChiSquareValue(Number chiSquareValue)
ConfusionMatrix	ConfusionMatrix.setClassLabels(ClassLabels classLabels)
Interval	Interval.setClosure(Interval.Closure closure)
MatCell	MatCell.setCol(Integer col)
VerificationField	VerificationField.setColumn(String column)
FieldColumnPair	FieldColumnPair.setColumn(String column)
ComparisonMeasure	ComparisonMeasure.setCompareFunction(CompareFunction compareFunction)
ComplexScoreDistribution	ComplexScoreDistribution.setConfidence(Number confidence)
MultivariateStat	MultivariateStat.setConfidenceLevel(Number confidenceLevel)
MultivariateStat	MultivariateStat.setConfidenceLowerBound(Number confidenceLowerBound)
MultivariateStat	MultivariateStat.setConfidenceUpperBound(Number confidenceUpperBound)
PredictiveModelQuality	PredictiveModelQuality.setConfusionMatrix(ConfusionMatrix confusionMatrix)
UnivariateStats	UnivariateStats.setContStats(ContStats contStats)
Header	Header.setCopyright(String copyright)
Correlations	Correlations.setCorrelationFields(CorrelationFields correlationFields)
Correlations	Correlations.setCorrelationMethods(CorrelationMethods correlationMethods)
ModelExplanation	ModelExplanation.setCorrelations(Correlations correlations)
Correlations	Correlations.setCorrelationValues(CorrelationValues correlationValues)
TextIndex	TextIndex.setCountHits(TextIndex.CountHits countHits)
PartitionFieldStats	PartitionFieldStats.setCounts(Counts counts)
UnivariateStats	UnivariateStats.setCounts(Counts counts)
DataField	DataField.setCyclic(DataField.Cyclic cyclic)
BinarySimilarity	BinarySimilarity.setD00Parameter(Number d00Parameter)
BinarySimilarity	BinarySimilarity.setD01Parameter(Number d01Parameter)
BinarySimilarity	BinarySimilarity.setD10Parameter(Number d10Parameter)
BinarySimilarity	BinarySimilarity.setD11Parameter(Number d11Parameter)
PMML	PMML.setDataDictionary(DataDictionary dataDictionary)
ClusteringModelQuality	ClusteringModelQuality.setDataName(String dataName)
PredictiveModelQuality	PredictiveModelQuality.setDataName(String dataName)
Discretize	Discretize.setDataType(DataType dataType)
DataField	DataField.setDataType(DataType dataType)
ResultField	ResultField.setDataType(DataType dataType)
MapValues	MapValues.setDataType(DataType dataType)
Constant	Constant.setDataType(DataType dataType)
ParameterField	ParameterField.setDataType(DataType dataType)
DefineFunction	DefineFunction.setDataType(DataType dataType)
OutputField	OutputField.setDataType(DataType dataType)
DerivedField	DerivedField.setDataType(DataType dataType)
PredictiveModelQuality	PredictiveModelQuality.setDataUsage(PredictiveModelQuality.DataUsage dataUsage)
OutputField	OutputField.setDecisions(Decisions decisions)
RealSparseArray	RealSparseArray.setDefaultValue(Double defaultValue)
IntSparseArray	IntSparseArray.setDefaultValue(Integer defaultValue)
TargetValue	TargetValue.setDefaultValue(Number defaultValue)
Discretize	Discretize.setDefaultValue(Object defaultValue)
MapValues	MapValues.setDefaultValue(Object defaultValue)
Apply	Apply.setDefaultValue(Object defaultValue)
AnovaRow	AnovaRow.setDegreesOfFreedom(Number degreesOfFreedom)
PredictiveModelQuality	PredictiveModelQuality.setDegreesOfFreedom(Number degreesOfFreedom)
Decision	Decision.setDescription(String description)
Header	Header.setDescription(String description)
Decisions	Decisions.setDescription(String description)
MultivariateStat	MultivariateStat.setDF(Number df)
Matrix	Matrix.setDiagDefault(Number diagDefault)
UnivariateStats	UnivariateStats.setDiscrStats(DiscrStats discrStats)
DataField	DataField.setDisplayName(String displayName)
ResultField	ResultField.setDisplayName(String displayName)
ParameterField	ParameterField.setDisplayName(String displayName)
OutputField	OutputField.setDisplayName(String displayName)
DerivedField	DerivedField.setDisplayName(String displayName)
Decision	Decision.setDisplayValue(String displayValue)
Value	Value.setDisplayValue(String displayValue)
TargetValue	TargetValue.setDisplayValue(String displayValue)
MultivariateStat	MultivariateStat.setExponent(Integer exponent)
DefineFunction	DefineFunction.setExpression(Expression expression)
OutputField	OutputField.setExpression(Expression expression)
TextIndex	TextIndex.setExpression(Expression expression)
DerivedField	DerivedField.setExpression(Expression expression)
Extension	Extension.setExtender(String extender)
PredictiveModelQuality	PredictiveModelQuality.setF1(Number f1)
PredictiveModelQuality	PredictiveModelQuality.setF2(Number f2)
PredictiveModelQuality	PredictiveModelQuality.setFhalf(Number fhalf)
PartitionFieldStats	PartitionFieldStats.setField(String field)
VerificationField	VerificationField.setField(String field)
Discretize	Discretize.setField(String field)
SimplePredicate	SimplePredicate.setField(String field)
UnivariateStats	UnivariateStats.setField(String field)
NormDiscrete	NormDiscrete.setField(String field)
FieldColumnPair	FieldColumnPair.setField(String field)
SimpleSetPredicate	SimpleSetPredicate.setField(String field)
Target	Target.setField(String field)
Lag	Lag.setField(String field)
Aggregate	Aggregate.setField(String field)
NormContinuous	NormContinuous.setField(String field)
FieldRef	FieldRef.setField(String field)
BlockIndicator	BlockIndicator.setField(String field)
ModelVerification	ModelVerification.setFieldCount(Integer fieldCount)
OutputField	OutputField.setFinalResult(Boolean finalResult)
MultivariateStat	MultivariateStat.setFStatistic(Number fStatistic)
PredictiveModelQuality	PredictiveModelQuality.setFStatistic(Number fStatistic)
Aggregate	Aggregate.setFunction(Aggregate.Function function)
Apply	Apply.setFunction(String function)
AnovaRow	AnovaRow.setFValue(Number fValue)
Aggregate	Aggregate.setGroupField(String groupField)
PMML	PMML.setHeader(Header header)
MiningField	MiningField.setHighValue(Number highValue)
MultivariateStat	MultivariateStat.setImportance(Number importance)
MiningField	MiningField.setImportance(Number importance)
TextIndexNormalization	TextIndexNormalization.setInField(String inField)
MapValues	MapValues.setInlineTable(InlineTable inlineTable)
TextIndexNormalization	TextIndexNormalization.setInlineTable(InlineTable inlineTable)
ModelVerification	ModelVerification.setInlineTable(InlineTable inlineTable)
ChildParent	ChildParent.setInlineTable(InlineTable inlineTable)
MultivariateStat	MultivariateStat.setIntercept(Boolean intercept)
NumericInfo	NumericInfo.setInterQuartileRange(Number interQuartileRange)
DiscretizeBin	DiscretizeBin.setInterval(Interval interval)
Counts	Counts.setInvalidFreq(Number invalidFreq)
MiningField	MiningField.setInvalidValueReplacement(Object invalidValueReplacement)
MiningField	MiningField.setInvalidValueTreatment(InvalidValueTreatmentMethod invalidValueTreatment)
Apply	Apply.setInvalidValueTreatment(InvalidValueTreatmentMethod invalidValueTreatment)
OutputField	OutputField.setIsMultiValued(String isMultiValued)
ComparisonMeasure	ComparisonMeasure.setKind(ComparisonMeasure.Kind kind)
Matrix	Matrix.setKind(Matrix.Kind kind)
Interval	Interval.setLeftMargin(Number leftMargin)
OptimumLiftGraph	OptimumLiftGraph.setLiftGraph(LiftGraph liftGraph)
RandomLiftGraph	RandomLiftGraph.setLiftGraph(LiftGraph liftGraph)
ModelLiftGraph	ModelLiftGraph.setLiftGraph(LiftGraph liftGraph)
TextIndex	TextIndex.setLocalTermWeights(TextIndex.LocalTermWeights localTermWeights)
UniformDistribution	UniformDistribution.setLower(Number lower)
MiningField	MiningField.setLowValue(Number lowValue)
NormDiscrete	NormDiscrete.setMapMissingTo(Number mapMissingTo)
NormContinuous	NormContinuous.setMapMissingTo(Number mapMissingTo)
Discretize	Discretize.setMapMissingTo(Object mapMissingTo)
MapValues	MapValues.setMapMissingTo(Object mapMissingTo)
Apply	Apply.setMapMissingTo(Object mapMissingTo)
FieldRef	FieldRef.setMapMissingTo(Object mapMissingTo)
CorrelationValues	CorrelationValues.setMatrix(Matrix matrix)
CorrelationMethods	CorrelationMethods.setMatrix(Matrix matrix)
ConfusionMatrix	ConfusionMatrix.setMatrix(Matrix matrix)
Target	Target.setMax(Number max)
NumericInfo	NumericInfo.setMaximum(Number maximum)
ComparisonMeasure	ComparisonMeasure.setMaximum(Number maximum)
TextIndexNormalization	TextIndexNormalization.setMaxLevenshteinDistance(Integer maxLevenshteinDistance)
TextIndex	TextIndex.setMaxLevenshteinDistance(Integer maxLevenshteinDistance)
AnyDistribution	AnyDistribution.setMean(Number mean)
NumericInfo	NumericInfo.setMean(Number mean)
PoissonDistribution	PoissonDistribution.setMean(Number mean)
GaussianDistribution	GaussianDistribution.setMean(Number mean)
PredictiveModelQuality	PredictiveModelQuality.setMeanAbsoluteError(Number meanAbsoluteError)
PredictiveModelQuality	PredictiveModelQuality.setMeanError(Number meanError)
AnovaRow	AnovaRow.setMeanOfSquares(Number meanOfSquares)
PredictiveModelQuality	PredictiveModelQuality.setMeanSquaredError(Number meanSquaredError)
ComparisonMeasure	ComparisonMeasure.setMeasure(Measure measure)
NumericInfo	NumericInfo.setMedian(Number median)
NormDiscrete	NormDiscrete.setMethod(NormDiscrete.Method method)
Target	Target.setMin(Number min)
NumericInfo	NumericInfo.setMinimum(Number minimum)
ComparisonMeasure	ComparisonMeasure.setMinimum(Number minimum)
PMML	PMML.setMiningBuildTask(MiningBuildTask miningBuildTask)
Constant	Constant.setMissing(Boolean missing)
Counts	Counts.setMissingFreq(Number missingFreq)
MiningField	MiningField.setMissingValueReplacement(Object missingValueReplacement)
MiningField	MiningField.setMissingValueTreatment(MissingValueTreatmentMethod missingValueTreatment)
DiscrStats	DiscrStats.setModalValue(String modalValue)
LiftData	LiftData.setModelLiftGraph(ModelLiftGraph modelLiftGraph)
Header	Header.setModelVersion(String modelVersion)
IntSparseArray	IntSparseArray.setN(Integer n)
Lag	Lag.setN(Integer n)
RealSparseArray	RealSparseArray.setN(Integer n)
Array	Array.setN(Integer n)
ComplexArray	ComplexArray.setN(Integer n)
Extension	Extension.setName(String name)
DataField	DataField.setName(String name)
MultivariateStat	MultivariateStat.setName(String name)
ResultField	ResultField.setName(String name)
ParameterField	ParameterField.setName(String name)
Taxonomy	Taxonomy.setName(String name)
MiningField	MiningField.setName(String name)
DefineFunction	DefineFunction.setName(String name)
OutputField	OutputField.setName(String name)
Application	Application.setName(String name)
DerivedField	DerivedField.setName(String name)
Partition	Partition.setName(String name)
Matrix	Matrix.setNbCols(Integer nbCols)
Matrix	Matrix.setNbRows(Integer nbRows)
ROC	ROC.setNegativeTargetFieldDisplayValue(String negativeTargetFieldDisplayValue)
ROC	ROC.setNegativeTargetFieldValue(String negativeTargetFieldValue)
LinearNorm	LinearNorm.setNorm(Number norm)
DataDictionary	DataDictionary.setNumberOfFields(Integer numberOfFields)
PartitionFieldStats	PartitionFieldStats.setNumericInfo(NumericInfo numericInfo)
UnivariateStats	UnivariateStats.setNumericInfo(NumericInfo numericInfo)
PredictiveModelQuality	PredictiveModelQuality.setNumOfPredictors(Number numOfPredictors)
PredictiveModelQuality	PredictiveModelQuality.setNumOfRecords(Number numOfRecords)
PredictiveModelQuality	PredictiveModelQuality.setNumOfRecordsWeighted(Number numOfRecordsWeighted)
Matrix	Matrix.setOffDiagDefault(Number offDiagDefault)
SimplePredicate	SimplePredicate.setOperator(SimplePredicate.Operator operator)
LiftData	LiftData.setOptimumLiftGraph(OptimumLiftGraph optimumLiftGraph)
DataField	DataField.setOpType(OpType opType)
ResultField	ResultField.setOpType(OpType opType)
Target	Target.setOpType(OpType opType)
ParameterField	ParameterField.setOpType(OpType opType)
MiningField	MiningField.setOpType(OpType opType)
DefineFunction	DefineFunction.setOpType(OpType opType)
OutputField	OutputField.setOpType(OpType opType)
DerivedField	DerivedField.setOpType(OpType opType)
LinearNorm	LinearNorm.setOrig(Number orig)
TextIndexNormalization	TextIndexNormalization.setOutField(String outField)
NormContinuous	NormContinuous.setOutliers(OutlierTreatmentMethod outliers)
MiningField	MiningField.setOutlierTreatment(OutlierTreatmentMethod outlierTreatment)
MapValues	MapValues.setOutputColumn(String outputColumn)
ChildParent	ChildParent.setParentField(String parentField)
ChildParent	ChildParent.setParentLevelField(String parentLevelField)
TargetValue	TargetValue.setPartition(Partition partition)
ROC	ROC.setPositiveTargetFieldDisplayValue(String positiveTargetFieldDisplayValue)
ROC	ROC.setPositiveTargetFieldValue(String positiveTargetFieldValue)
Minkowski	Minkowski.setPParameter(Number pParameter)
VerificationField	VerificationField.setPrecision(Number precision)
PredictiveModelQuality	PredictiveModelQuality.setPrecision(Number precision)
TargetValue	TargetValue.setPriorProbability(Number priorProbability)
ComplexScoreDistribution	ComplexScoreDistribution.setProbability(Number probability)
ScoreProbability	ScoreProbability.setProbability(Number probability)
Value	Value.setProperty(Value.Property property)
AnovaRow	AnovaRow.setPValue(Number pValue)
MultivariateStat	MultivariateStat.setPValueAlpha(Number pValueAlpha)
MultivariateStat	MultivariateStat.setPValueFinal(Number pValueFinal)
MultivariateStat	MultivariateStat.setPValueInitial(Number pValueInitial)
Quantile	Quantile.setQuantileLimit(Number quantileLimit)
Quantile	Quantile.setQuantileValue(Number quantileValue)
LiftData	LiftData.setRandomLiftGraph(RandomLiftGraph randomLiftGraph)
OutputField	OutputField.setRank(Integer rank)
OutputField	OutputField.setRankBasis(OutputField.RankBasis rankBasis)
LiftData	LiftData.setRankingQuality(Number rankingQuality)
OutputField	OutputField.setRankOrder(OutputField.RankOrder rankOrder)
PredictiveModelQuality	PredictiveModelQuality.setRecall(Number recall)
ModelVerification	ModelVerification.setRecordCount(Integer recordCount)
ComplexScoreDistribution	ComplexScoreDistribution.setRecordCount(Number recordCount)
SimpleScoreDistribution	SimpleScoreDistribution.setRecordCount(Number recordCount)
TextIndexNormalization	TextIndexNormalization.setRecursive(Boolean recursive)
ChildParent	ChildParent.setRecursive(ChildParent.Recursive recursive)
TextIndexNormalization	TextIndexNormalization.setRegexField(String regexField)
OutputField	OutputField.setReportField(String reportField)
Target	Target.setRescaleConstant(Number rescaleConstant)
Target	Target.setRescaleFactor(Number rescaleFactor)
ResultField	ResultField.setResultFeature(ResultFeature resultFeature)
OutputField	OutputField.setResultFeature(ResultFeature resultFeature)
Interval	Interval.setRightMargin(Number rightMargin)
PredictiveModelQuality	PredictiveModelQuality.setROC(ROC roc)
ROC	ROC.setROCGraph(ROCGraph rocGraph)
PredictiveModelQuality	PredictiveModelQuality.setRootMeanSquaredError(Number rootMeanSquaredError)
MatCell	MatCell.setRow(Integer row)
PredictiveModelQuality	PredictiveModelQuality.setRSquared(Number rSquared)
OutputField	OutputField.setRuleFeature(OutputField.RuleFeature ruleFeature)
OutputField	OutputField.setSegmentId(String segmentId)
Partition	Partition.setSize(Number size)
PredictiveModelQuality	PredictiveModelQuality.setSpecificity(Number specificity)
Aggregate	Aggregate.setSqlWhere(String sqlWhere)
ClusteringModelQuality	ClusteringModelQuality.setSSB(Number ssb)
ClusteringModelQuality	ClusteringModelQuality.setSSE(Number sse)
NumericInfo	NumericInfo.setStandardDeviation(Number standardDeviation)
MultivariateStat	MultivariateStat.setStdError(Number stdError)
AnovaRow	AnovaRow.setSumOfSquares(Number sumOfSquares)
PredictiveModelQuality	PredictiveModelQuality.setSumSquaredError(Number sumSquaredError)
PredictiveModelQuality	PredictiveModelQuality.setSumSquaredRegression(Number sumSquaredRegression)
MapValues	MapValues.setTableLocator(TableLocator tableLocator)
TextIndexNormalization	TextIndexNormalization.setTableLocator(TableLocator tableLocator)
ChildParent	ChildParent.setTableLocator(TableLocator tableLocator)
MultivariateStats	MultivariateStats.setTargetCategory(Object targetCategory)
Anova	Anova.setTargetField(String targetField)
PredictiveModelQuality	PredictiveModelQuality.setTargetField(String targetField)
OutputField	OutputField.setTargetField(String targetField)
LiftData	LiftData.setTargetFieldDisplayValue(String targetFieldDisplayValue)
LiftData	LiftData.setTargetFieldValue(String targetFieldValue)
DataField	DataField.setTaxonomy(String taxonomy)
TextIndex	TextIndex.setTextField(String textField)
Header	Header.setTimestamp(Timestamp timestamp)
TextIndexNormalization	TextIndexNormalization.setTokenize(Boolean tokenize)
TextIndex	TextIndex.setTokenize(Boolean tokenize)
Counts	Counts.setTotalFreq(Number totalFreq)
ContStats	ContStats.setTotalSquaresSum(Number totalSquaresSum)
ContStats	ContStats.setTotalValuesSum(Number totalValuesSum)
PMML	PMML.setTransformationDictionary(TransformationDictionary transformationDictionary)
MultivariateStat	MultivariateStat.setTValue(Number tValue)
AnovaRow	AnovaRow.setType(AnovaRow.Type type)
Array	Array.setType(Array.Type type)
ComplexArray	ComplexArray.setType(Array.Type type)
UniformDistribution	UniformDistribution.setUpper(Number upper)
MiningField	MiningField.setUsageType(MiningField.UsageType usageType)
ComplexScoreDistribution	ComplexScoreDistribution.setValue(Object value)
SimplePredicate	SimplePredicate.setValue(Object value)
ResultField	ResultField.setValue(Object value)
Decision	Decision.setValue(Object value)
MatCell	MatCell.setValue(Object value)
NormDiscrete	NormDiscrete.setValue(Object value)
Constant	Constant.setValue(Object value)
Value	Value.setValue(Object value)
OutputField	OutputField.setValue(Object value)
Array	Array.setValue(Object value)
TargetValue	TargetValue.setValue(Object value)
ComplexArray	ComplexArray.setValue(Object value)
SimpleScoreDistribution	SimpleScoreDistribution.setValue(Object value)
Cell	Cell.setValue(Object value)
Extension	Extension.setValue(String value)
AnyDistribution	AnyDistribution.setVariance(Number variance)
GaussianDistribution	GaussianDistribution.setVariance(Number variance)
ModelVerification	ModelVerification.setVerificationFields(VerificationFields verificationFields)
PMML	PMML.setVersion(String version)
Application	Application.setVersion(String version)
PartitionFieldStats	PartitionFieldStats.setWeighted(PartitionFieldStats.Weighted weighted)
UnivariateStats	UnivariateStats.setWeighted(UnivariateStats.Weighted weighted)
TextIndexNormalization	TextIndexNormalization.setWordRE(String wordRE)
TextIndex	TextIndex.setWordRE(String wordRE)
TextIndexNormalization	TextIndexNormalization.setWordSeparatorCharacterRE(String wordSeparatorCharacterRE)
TextIndex	TextIndex.setWordSeparatorCharacterRE(String wordSeparatorCharacterRE)
ROCGraph	ROCGraph.setXCoordinates(XCoordinates xCoordinates)
LiftGraph	LiftGraph.setXCoordinates(XCoordinates xCoordinates)
ROCGraph	ROCGraph.setYCoordinates(YCoordinates yCoordinates)
LiftGraph	LiftGraph.setYCoordinates(YCoordinates yCoordinates)
VerificationField	VerificationField.setZeroThreshold(Number zeroThreshold)

Constructor parameters in org.dmg.pmml with annotations of type Property

Constructor and Description
Aggregate(String field, Aggregate.Function function)
Aggregate(String field, Aggregate.Function function)
Anova(List<AnovaRow> anovaRows)
AnovaRow(AnovaRow.Type type, Number sumOfSquares, Number degreesOfFreedom)
AnovaRow(AnovaRow.Type type, Number sumOfSquares, Number degreesOfFreedom)
AnovaRow(AnovaRow.Type type, Number sumOfSquares, Number degreesOfFreedom)
AnyDistribution(Number mean, Number variance)
AnyDistribution(Number mean, Number variance)
Application(String name)
Apply(String function)
Array(Array.Type type, Object value)
Array(Array.Type type, Object value)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BinarySimilarity(Number c00Parameter, Number c01Parameter, Number c10Parameter, Number c11Parameter, Number d00Parameter, Number d01Parameter, Number d10Parameter, Number d11Parameter)
BlockIndicator(String field)
BoundaryValueMeans(Array array)
BoundaryValues(Array array)
Cell(Object value)
ChildParent(String childField, String parentField, InlineTable inlineTable)
ChildParent(String childField, String parentField, InlineTable inlineTable)
ChildParent(String childField, String parentField, InlineTable inlineTable)
ClassLabels(Array array)
ComparisonMeasure(ComparisonMeasure.Kind kind, Measure measure)
ComparisonMeasure(ComparisonMeasure.Kind kind, Measure measure)
ComplexArray(Array.Type type, Collection<?> value)
ComplexArray(Array.Type type, Collection<?> value)
ComplexScoreDistribution(Object value, Number recordCount)
ComplexScoreDistribution(Object value, Number recordCount)
CompoundPredicate(CompoundPredicate.BooleanOperator booleanOperator, List<Predicate> predicates)
CompoundPredicate(CompoundPredicate.BooleanOperator booleanOperator, List<Predicate> predicates)
ConfusionMatrix(ClassLabels classLabels, Matrix matrix)
ConfusionMatrix(ClassLabels classLabels, Matrix matrix)
Constant(Object value)
CorrelationFields(Array array)
CorrelationMethods(Matrix matrix)
Correlations(CorrelationFields correlationFields, CorrelationValues correlationValues)
Correlations(CorrelationFields correlationFields, CorrelationValues correlationValues)
CorrelationValues(Matrix matrix)
Counts(Number totalFreq)
DataField(String name, OpType opType, DataType dataType)
DataField(String name, OpType opType, DataType dataType)
DataField(String name, OpType opType, DataType dataType)
Decision(Object value)
Decisions(List<Decision> decisions)
DefineFunction(String name, OpType opType, DataType dataType, List<ParameterField> parameterFields, Expression expression)
DefineFunction(String name, OpType opType, DataType dataType, List<ParameterField> parameterFields, Expression expression)
DefineFunction(String name, OpType opType, DataType dataType, List<ParameterField> parameterFields, Expression expression)
DefineFunction(String name, OpType opType, DataType dataType, List<ParameterField> parameterFields, Expression expression)
DefineFunction(String name, OpType opType, DataType dataType, List<ParameterField> parameterFields, Expression expression)
DerivedField(String name, OpType opType, DataType dataType, Expression expression)
DerivedField(String name, OpType opType, DataType dataType, Expression expression)
DerivedField(String name, OpType opType, DataType dataType, Expression expression)
DerivedField(String name, OpType opType, DataType dataType, Expression expression)
Discretize(String field)
DiscretizeBin(Object binValue, Interval interval)
DiscretizeBin(Object binValue, Interval interval)
FieldColumnPair(String field, String column)
FieldColumnPair(String field, String column)
FieldRef(String field)
GaussianDistribution(Number mean, Number variance)
GaussianDistribution(Number mean, Number variance)
Interval(Interval.Closure closure)
Lag(String field)
LiftData(ModelLiftGraph modelLiftGraph)
LiftGraph(XCoordinates xCoordinates, YCoordinates yCoordinates)
LiftGraph(XCoordinates xCoordinates, YCoordinates yCoordinates)
LinearNorm(Number orig, Number norm)
LinearNorm(Number orig, Number norm)
MapValues(String outputColumn, InlineTable inlineTable)
MapValues(String outputColumn, InlineTable inlineTable)
MatCell(Integer row, Integer col, Object value)
MatCell(Integer row, Integer col, Object value)
MatCell(Integer row, Integer col, Object value)
Matrix(List<Array> arrays, List<MatCell> matCells)
Matrix(List<Array> arrays, List<MatCell> matCells)
MiningField(String name)
Minkowski(Number pParameter)
ModelLiftGraph(LiftGraph liftGraph)
ModelVerification(VerificationFields verificationFields, InlineTable inlineTable)
ModelVerification(VerificationFields verificationFields, InlineTable inlineTable)
MultivariateStats(List<MultivariateStat> multivariateStats)
NormContinuous(String field, List<LinearNorm> linearNorms)
NormContinuous(String field, List<LinearNorm> linearNorms)
NormDiscrete(String field, Object value)
NormDiscrete(String field, Object value)
OptimumLiftGraph(LiftGraph liftGraph)
Output(List<OutputField> outputFields)
OutputField(String name, OpType opType, DataType dataType)
OutputField(String name, OpType opType, DataType dataType)
OutputField(String name, OpType opType, DataType dataType)
ParameterField(String name)
Partition(String name)
PartitionFieldStats(String field)
PMML(String version, Header header, DataDictionary dataDictionary)
PMML(String version, Header header, DataDictionary dataDictionary)
PMML(String version, Header header, DataDictionary dataDictionary)
PoissonDistribution(Number mean)
PredictiveModelQuality(String targetField)
Quantile(Number quantileLimit, Number quantileValue)
Quantile(Number quantileLimit, Number quantileValue)
RandomLiftGraph(LiftGraph liftGraph)
ResultField(String name)
ROC(String positiveTargetFieldValue, ROCGraph rocGraph)
ROC(String positiveTargetFieldValue, ROCGraph rocGraph)
ROCGraph(XCoordinates xCoordinates, YCoordinates yCoordinates)
ROCGraph(XCoordinates xCoordinates, YCoordinates yCoordinates)
Row(List<Object> content)
ScoreFrequency(Object value, Number recordCount)
ScoreFrequency(Object value, Number recordCount)
ScoreProbability(Object value, Number recordCount, Number probability)
ScoreProbability(Object value, Number recordCount, Number probability)
ScoreProbability(Object value, Number recordCount, Number probability)
SimplePredicate(String field, SimplePredicate.Operator operator, Object value)
SimplePredicate(String field, SimplePredicate.Operator operator, Object value)
SimplePredicate(String field, SimplePredicate.Operator operator, Object value)
SimpleScoreDistribution(Object value, Number recordCount)
SimpleScoreDistribution(Object value, Number recordCount)
SimpleSetPredicate(String field, SimpleSetPredicate.BooleanOperator booleanOperator, Array array)
SimpleSetPredicate(String field, SimpleSetPredicate.BooleanOperator booleanOperator, Array array)
SimpleSetPredicate(String field, SimpleSetPredicate.BooleanOperator booleanOperator, Array array)
Targets(List<Target> targets)
Taxonomy(String name, List<ChildParent> childParents)
Taxonomy(String name, List<ChildParent> childParents)
TextIndex(String textField, Expression expression)
TextIndex(String textField, Expression expression)
TextIndexNormalization(InlineTable inlineTable)
UniformDistribution(Number lower, Number upper)
UniformDistribution(Number lower, Number upper)
Value(Object value)
VerificationField(String field)
VerificationFields(List<VerificationField> verificationFields)
XCoordinates(Array array)
YCoordinates(Array array)

Uses of Property in org.dmg.pmml.anomaly_detection

Method parameters in org.dmg.pmml.anomaly_detection with annotations of type Property

Modifier and Type	Method and Description
AnomalyDetectionModel	AnomalyDetectionModel.setAlgorithmName(String algorithmName)
AnomalyDetectionModel	AnomalyDetectionModel.setAlgorithmType(String algorithmType)
MeanClusterDistances	MeanClusterDistances.setArray(Array array)
AnomalyDetectionModel	AnomalyDetectionModel.setLocalTransformations(LocalTransformations localTransformations)
AnomalyDetectionModel	AnomalyDetectionModel.setMathContext(MathContext mathContext)
AnomalyDetectionModel	AnomalyDetectionModel.setMeanClusterDistances(MeanClusterDistances meanClusterDistances)
AnomalyDetectionModel	AnomalyDetectionModel.setMiningFunction(MiningFunction miningFunction)
AnomalyDetectionModel	AnomalyDetectionModel.setMiningSchema(MiningSchema miningSchema)
AnomalyDetectionModel	AnomalyDetectionModel.setModel(Model model)
AnomalyDetectionModel	AnomalyDetectionModel.setModelName(String modelName)
AnomalyDetectionModel	AnomalyDetectionModel.setModelVerification(ModelVerification modelVerification)
AnomalyDetectionModel	AnomalyDetectionModel.setOutput(Output output)
AnomalyDetectionModel	AnomalyDetectionModel.setSampleDataSize(String sampleDataSize)
AnomalyDetectionModel	AnomalyDetectionModel.setScorable(Boolean scorable)

Constructor parameters in org.dmg.pmml.anomaly_detection with annotations of type Property

Constructor and Description
AnomalyDetectionModel(MiningFunction miningFunction, String algorithmType, MiningSchema miningSchema, Model model)
AnomalyDetectionModel(MiningFunction miningFunction, String algorithmType, MiningSchema miningSchema, Model model)
AnomalyDetectionModel(MiningFunction miningFunction, String algorithmType, MiningSchema miningSchema, Model model)
AnomalyDetectionModel(MiningFunction miningFunction, String algorithmType, MiningSchema miningSchema, Model model)
MeanClusterDistances(Array array)

Uses of Property in org.dmg.pmml.association

Method parameters in org.dmg.pmml.association with annotations of type Property

Modifier and Type	Method and Description
AssociationRule	AssociationRule.setAffinity(Number affinity)
AssociationModel	AssociationModel.setAlgorithmName(String algorithmName)
AssociationRule	AssociationRule.setAntecedent(String antecedent)
AssociationModel	AssociationModel.setAvgNumberOfItemsPerTA(Number avgNumberOfItemsPerTA)
Item	Item.setCategory(String category)
AssociationRule	AssociationRule.setConfidence(Number confidence)
AssociationRule	AssociationRule.setConsequent(String consequent)
Item	Item.setField(String field)
Itemset	Itemset.setId(String id)
Item	Item.setId(String id)
AssociationRule	AssociationRule.setId(String id)
ItemRef	ItemRef.setItemRef(String itemRef)
AssociationModel	AssociationModel.setLengthLimit(Integer lengthLimit)
AssociationRule	AssociationRule.setLeverage(Number leverage)
AssociationRule	AssociationRule.setLift(Number lift)
AssociationModel	AssociationModel.setLocalTransformations(LocalTransformations localTransformations)
Item	Item.setMappedValue(String mappedValue)
AssociationModel	AssociationModel.setMathContext(MathContext mathContext)
AssociationModel	AssociationModel.setMaxNumberOfItemsPerTA(Integer maxNumberOfItemsPerTA)
AssociationModel	AssociationModel.setMinimumConfidence(Number minimumConfidence)
AssociationModel	AssociationModel.setMinimumSupport(Number minimumSupport)
AssociationModel	AssociationModel.setMiningFunction(MiningFunction miningFunction)
AssociationModel	AssociationModel.setMiningSchema(MiningSchema miningSchema)
AssociationModel	AssociationModel.setModelName(String modelName)
AssociationModel	AssociationModel.setModelStats(ModelStats modelStats)
AssociationModel	AssociationModel.setModelVerification(ModelVerification modelVerification)
Itemset	Itemset.setNumberOfItems(Integer numberOfItems)
AssociationModel	AssociationModel.setNumberOfItems(Integer numberOfItems)
AssociationModel	AssociationModel.setNumberOfItemsets(Integer numberOfItemsets)
AssociationModel	AssociationModel.setNumberOfRules(Integer numberOfRules)
AssociationModel	AssociationModel.setNumberOfTransactions(Integer numberOfTransactions)
AssociationModel	AssociationModel.setOutput(Output output)
AssociationModel	AssociationModel.setScorable(Boolean scorable)
Itemset	Itemset.setSupport(Number support)
AssociationRule	AssociationRule.setSupport(Number support)
Item	Item.setValue(String value)
Item	Item.setWeight(Number weight)

Constructor parameters in org.dmg.pmml.association with annotations of type Property

Constructor and Description
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationModel(MiningFunction miningFunction, Integer numberOfTransactions, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfItemsets, Integer numberOfRules, MiningSchema miningSchema)
AssociationRule(String antecedent, String consequent, Number support, Number confidence)
AssociationRule(String antecedent, String consequent, Number support, Number confidence)
AssociationRule(String antecedent, String consequent, Number support, Number confidence)
AssociationRule(String antecedent, String consequent, Number support, Number confidence)
Item(String id, String value)
Item(String id, String value)
ItemRef(String itemRef)
Itemset(String id)

Uses of Property in org.dmg.pmml.baseline

Method parameters in org.dmg.pmml.baseline with annotations of type Property

Modifier and Type	Method and Description
BaselineModel	BaselineModel.setAlgorithmName(String algorithmName)
TestDistributions	TestDistributions.setAlternate(Alternate alternate)
TestDistributions	TestDistributions.setBaseline(Baseline baseline)
Alternate	Alternate.setContinuousDistribution(ContinuousDistribution continuousDistribution)
Baseline	Baseline.setContinuousDistribution(ContinuousDistribution continuousDistribution)
FieldValueCount	FieldValueCount.setCount(Number count)
Baseline	Baseline.setCountTable(CountTable countTable)
FieldValueCount	FieldValueCount.setField(String field)
TestDistributions	TestDistributions.setField(String field)
FieldValue	FieldValue.setField(String field)
BaselineModel	BaselineModel.setLocalTransformations(LocalTransformations localTransformations)
BaselineModel	BaselineModel.setMathContext(MathContext mathContext)
BaselineModel	BaselineModel.setMiningFunction(MiningFunction miningFunction)
BaselineModel	BaselineModel.setMiningSchema(MiningSchema miningSchema)
BaselineModel	BaselineModel.setModelExplanation(ModelExplanation modelExplanation)
BaselineModel	BaselineModel.setModelName(String modelName)
BaselineModel	BaselineModel.setModelStats(ModelStats modelStats)
BaselineModel	BaselineModel.setModelVerification(ModelVerification modelVerification)
TestDistributions	TestDistributions.setNormalizationScheme(String normalizationScheme)
Baseline	Baseline.setNormalizedCountTable(CountTable normalizedCountTable)
BaselineModel	BaselineModel.setOutput(Output output)
TestDistributions	TestDistributions.setResetValue(Number resetValue)
CountTable	CountTable.setSample(Number sample)
BaselineModel	BaselineModel.setScorable(Boolean scorable)
BaselineModel	BaselineModel.setTargets(Targets targets)
BaselineModel	BaselineModel.setTestDistributions(TestDistributions testDistributions)
TestDistributions	TestDistributions.setTestStatistic(TestDistributions.TestStatistic testStatistic)
FieldValueCount	FieldValueCount.setValue(Object value)
FieldValue	FieldValue.setValue(Object value)
TestDistributions	TestDistributions.setWeightField(String weightField)
TestDistributions	TestDistributions.setWindowSize(Integer windowSize)

Constructor parameters in org.dmg.pmml.baseline with annotations of type Property

Constructor and Description
Alternate(ContinuousDistribution continuousDistribution)
Baseline(ContinuousDistribution continuousDistribution, CountTable countTable, CountTable normalizedCountTable, List<FieldRef> fieldRefs)
Baseline(ContinuousDistribution continuousDistribution, CountTable countTable, CountTable normalizedCountTable, List<FieldRef> fieldRefs)
Baseline(ContinuousDistribution continuousDistribution, CountTable countTable, CountTable normalizedCountTable, List<FieldRef> fieldRefs)
Baseline(ContinuousDistribution continuousDistribution, CountTable countTable, CountTable normalizedCountTable, List<FieldRef> fieldRefs)
BaselineModel(MiningFunction miningFunction, MiningSchema miningSchema, TestDistributions testDistributions)
BaselineModel(MiningFunction miningFunction, MiningSchema miningSchema, TestDistributions testDistributions)
BaselineModel(MiningFunction miningFunction, MiningSchema miningSchema, TestDistributions testDistributions)
CountTable(List<FieldValue> fieldValues, List<FieldValueCount> fieldValueCounts)
CountTable(List<FieldValue> fieldValues, List<FieldValueCount> fieldValueCounts)
FieldValue(String field, Object value, List<FieldValue> fieldValues, List<FieldValueCount> fieldValueCounts)
FieldValue(String field, Object value, List<FieldValue> fieldValues, List<FieldValueCount> fieldValueCounts)
FieldValue(String field, Object value, List<FieldValue> fieldValues, List<FieldValueCount> fieldValueCounts)
FieldValue(String field, Object value, List<FieldValue> fieldValues, List<FieldValueCount> fieldValueCounts)
FieldValueCount(String field, Object value, Number count)
FieldValueCount(String field, Object value, Number count)
FieldValueCount(String field, Object value, Number count)
TestDistributions(String field, TestDistributions.TestStatistic testStatistic, Baseline baseline)
TestDistributions(String field, TestDistributions.TestStatistic testStatistic, Baseline baseline)
TestDistributions(String field, TestDistributions.TestStatistic testStatistic, Baseline baseline)

Uses of Property in org.dmg.pmml.bayesian_network

Method parameters in org.dmg.pmml.bayesian_network with annotations of type Property

Modifier and Type	Method and Description
BayesianNetworkModel	BayesianNetworkModel.setAlgorithmName(String algorithmName)
BayesianNetworkModel	BayesianNetworkModel.setBayesianNetworkNodes(BayesianNetworkNodes bayesianNetworkNodes)
DiscreteConditionalProbability	DiscreteConditionalProbability.setCount(Number count)
ContinuousConditionalProbability	ContinuousConditionalProbability.setCount(Number count)
DiscreteNode	DiscreteNode.setCount(Number count)
ContinuousNode	ContinuousNode.setCount(Number count)
Mean	Mean.setExpression(Expression expression)
Upper	Upper.setExpression(Expression expression)
Variance	Variance.setExpression(Expression expression)
Lower	Lower.setExpression(Expression expression)
BayesianNetworkModel	BayesianNetworkModel.setInferenceMethod(String inferenceMethod)
BayesianNetworkModel	BayesianNetworkModel.setLocalTransformations(LocalTransformations localTransformations)
ContinuousDistribution	ContinuousDistribution.setLognormalDistributionForBN(LognormalDistribution lognormalDistributionForBN)
UniformDistribution	UniformDistribution.setLower(Lower lower)
TriangularDistribution	TriangularDistribution.setLower(Lower lower)
BayesianNetworkModel	BayesianNetworkModel.setMathContext(MathContext mathContext)
LognormalDistribution	LognormalDistribution.setMean(Mean mean)
NormalDistribution	NormalDistribution.setMean(Mean mean)
TriangularDistribution	TriangularDistribution.setMean(Mean mean)
BayesianNetworkModel	BayesianNetworkModel.setMiningFunction(MiningFunction miningFunction)
BayesianNetworkModel	BayesianNetworkModel.setMiningSchema(MiningSchema miningSchema)
BayesianNetworkModel	BayesianNetworkModel.setModelExplanation(ModelExplanation modelExplanation)
BayesianNetworkModel	BayesianNetworkModel.setModelName(String modelName)
BayesianNetworkModel	BayesianNetworkModel.setModelStats(ModelStats modelStats)
BayesianNetworkModel	BayesianNetworkModel.setModelType(String modelType)
BayesianNetworkModel	BayesianNetworkModel.setModelVerification(ModelVerification modelVerification)
DiscreteNode	DiscreteNode.setName(String name)
ContinuousNode	ContinuousNode.setName(String name)
ContinuousDistribution	ContinuousDistribution.setNormalDistributionForBN(NormalDistribution normalDistributionForBN)
BayesianNetworkModel	BayesianNetworkModel.setOutput(Output output)
ParentValue	ParentValue.setParent(String parent)
ValueProbability	ValueProbability.setProbability(Number probability)
BayesianNetworkModel	BayesianNetworkModel.setScorable(Boolean scorable)
BayesianNetworkModel	BayesianNetworkModel.setTargets(Targets targets)
ContinuousDistribution	ContinuousDistribution.setTriangularDistributionForBN(TriangularDistribution triangularDistributionForBN)
ContinuousDistribution	ContinuousDistribution.setUniformDistributionForBN(UniformDistribution uniformDistributionForBN)
UniformDistribution	UniformDistribution.setUpper(Upper upper)
TriangularDistribution	TriangularDistribution.setUpper(Upper upper)
ValueProbability	ValueProbability.setValue(Object value)
ParentValue	ParentValue.setValue(Object value)
LognormalDistribution	LognormalDistribution.setVariance(Variance variance)
NormalDistribution	NormalDistribution.setVariance(Variance variance)

Constructor parameters in org.dmg.pmml.bayesian_network with annotations of type Property

Constructor and Description
BayesianNetworkModel(MiningFunction miningFunction, MiningSchema miningSchema, BayesianNetworkNodes bayesianNetworkNodes)
BayesianNetworkModel(MiningFunction miningFunction, MiningSchema miningSchema, BayesianNetworkNodes bayesianNetworkNodes)
BayesianNetworkModel(MiningFunction miningFunction, MiningSchema miningSchema, BayesianNetworkNodes bayesianNetworkNodes)
BayesianNetworkNodes(List<PMMLObject> content)
ContinuousConditionalProbability(List<ContinuousDistribution> continuousDistributions)
ContinuousDistribution(TriangularDistribution triangularDistributionForBN, NormalDistribution normalDistributionForBN, LognormalDistribution lognormalDistributionForBN, UniformDistribution uniformDistributionForBN)
ContinuousDistribution(TriangularDistribution triangularDistributionForBN, NormalDistribution normalDistributionForBN, LognormalDistribution lognormalDistributionForBN, UniformDistribution uniformDistributionForBN)
ContinuousDistribution(TriangularDistribution triangularDistributionForBN, NormalDistribution normalDistributionForBN, LognormalDistribution lognormalDistributionForBN, UniformDistribution uniformDistributionForBN)
ContinuousDistribution(TriangularDistribution triangularDistributionForBN, NormalDistribution normalDistributionForBN, LognormalDistribution lognormalDistributionForBN, UniformDistribution uniformDistributionForBN)
ContinuousNode(String name, List<PMMLObject> content)
ContinuousNode(String name, List<PMMLObject> content)
DiscreteConditionalProbability(List<ParentValue> parentValues, List<ValueProbability> valueProbabilities)
DiscreteConditionalProbability(List<ParentValue> parentValues, List<ValueProbability> valueProbabilities)
DiscreteNode(String name, List<PMMLObject> content)
DiscreteNode(String name, List<PMMLObject> content)
LognormalDistribution(Mean mean, Variance variance)
LognormalDistribution(Mean mean, Variance variance)
Lower(Expression expression)
Mean(Expression expression)
NormalDistribution(Mean mean, Variance variance)
NormalDistribution(Mean mean, Variance variance)
ParentValue(String parent, Object value)
ParentValue(String parent, Object value)
TriangularDistribution(Mean mean, Lower lower, Upper upper)
TriangularDistribution(Mean mean, Lower lower, Upper upper)
TriangularDistribution(Mean mean, Lower lower, Upper upper)
UniformDistribution(Lower lower, Upper upper)
UniformDistribution(Lower lower, Upper upper)
Upper(Expression expression)
ValueProbability(Object value, Number probability)
ValueProbability(Object value, Number probability)
Variance(Expression expression)

Uses of Property in org.dmg.pmml.clustering

Method parameters in org.dmg.pmml.clustering with annotations of type Property

Modifier and Type	Method and Description
ClusteringModel	ClusteringModel.setAlgorithmName(String algorithmName)
Cluster	Cluster.setArray(Array array)
MissingValueWeights	MissingValueWeights.setArray(Array array)
ClusteringField	ClusteringField.setCenterField(ClusteringField.CenterField centerField)
ClusteringModel	ClusteringModel.setCenterFields(CenterFields centerFields)
ClusteringField	ClusteringField.setCompareFunction(CompareFunction compareFunction)
ClusteringModel	ClusteringModel.setComparisonMeasure(ComparisonMeasure comparisonMeasure)
ClusteringField	ClusteringField.setComparisons(Comparisons comparisons)
KohonenMap	KohonenMap.setCoord1(Number coord1)
KohonenMap	KohonenMap.setCoord2(Number coord2)
KohonenMap	KohonenMap.setCoord3(Number coord3)
Cluster	Cluster.setCovariances(Covariances covariances)
ClusteringField	ClusteringField.setField(String field)
ClusteringField	ClusteringField.setFieldWeight(Number fieldWeight)
Cluster	Cluster.setId(String id)
Cluster	Cluster.setKohonenMap(KohonenMap kohonenMap)
ClusteringModel	ClusteringModel.setLocalTransformations(LocalTransformations localTransformations)
ClusteringModel	ClusteringModel.setMathContext(MathContext mathContext)
Comparisons	Comparisons.setMatrix(Matrix matrix)
Covariances	Covariances.setMatrix(Matrix matrix)
ClusteringModel	ClusteringModel.setMiningFunction(MiningFunction miningFunction)
ClusteringModel	ClusteringModel.setMiningSchema(MiningSchema miningSchema)
ClusteringModel	ClusteringModel.setMissingValueWeights(MissingValueWeights missingValueWeights)
ClusteringModel	ClusteringModel.setModelClass(ClusteringModel.ModelClass modelClass)
ClusteringModel	ClusteringModel.setModelExplanation(ModelExplanation modelExplanation)
ClusteringModel	ClusteringModel.setModelName(String modelName)
ClusteringModel	ClusteringModel.setModelStats(ModelStats modelStats)
ClusteringModel	ClusteringModel.setModelVerification(ModelVerification modelVerification)
Cluster	Cluster.setName(String name)
ClusteringModel	ClusteringModel.setNumberOfClusters(Integer numberOfClusters)
ClusteringModel	ClusteringModel.setOutput(Output output)
Cluster	Cluster.setPartition(Partition partition)
ClusteringModel	ClusteringModel.setScorable(Boolean scorable)
ClusteringField	ClusteringField.setSimilarityScale(Number similarityScale)
Cluster	Cluster.setSize(Integer size)

Constructor parameters in org.dmg.pmml.clustering with annotations of type Property

Constructor and Description
CenterFields(List<DerivedField> derivedFields)
Cluster(Array array)
ClusteringField(String field)
ClusteringModel(MiningFunction miningFunction, ClusteringModel.ModelClass modelClass, Integer numberOfClusters, MiningSchema miningSchema, ComparisonMeasure comparisonMeasure, List<ClusteringField> clusteringFields, List<Cluster> clusters)
ClusteringModel(MiningFunction miningFunction, ClusteringModel.ModelClass modelClass, Integer numberOfClusters, MiningSchema miningSchema, ComparisonMeasure comparisonMeasure, List<ClusteringField> clusteringFields, List<Cluster> clusters)
ClusteringModel(MiningFunction miningFunction, ClusteringModel.ModelClass modelClass, Integer numberOfClusters, MiningSchema miningSchema, ComparisonMeasure comparisonMeasure, List<ClusteringField> clusteringFields, List<Cluster> clusters)
ClusteringModel(MiningFunction miningFunction, ClusteringModel.ModelClass modelClass, Integer numberOfClusters, MiningSchema miningSchema, ComparisonMeasure comparisonMeasure, List<ClusteringField> clusteringFields, List<Cluster> clusters)
ClusteringModel(MiningFunction miningFunction, ClusteringModel.ModelClass modelClass, Integer numberOfClusters, MiningSchema miningSchema, ComparisonMeasure comparisonMeasure, List<ClusteringField> clusteringFields, List<Cluster> clusters)
ClusteringModel(MiningFunction miningFunction, ClusteringModel.ModelClass modelClass, Integer numberOfClusters, MiningSchema miningSchema, ComparisonMeasure comparisonMeasure, List<ClusteringField> clusteringFields, List<Cluster> clusters)
ClusteringModel(MiningFunction miningFunction, ClusteringModel.ModelClass modelClass, Integer numberOfClusters, MiningSchema miningSchema, ComparisonMeasure comparisonMeasure, List<ClusteringField> clusteringFields, List<Cluster> clusters)
Comparisons(Matrix matrix)
Covariances(Matrix matrix)
MissingValueWeights(Array array)

Uses of Property in org.dmg.pmml.gaussian_process

Method parameters in org.dmg.pmml.gaussian_process with annotations of type Property

Modifier and Type	Method and Description
GaussianProcessModel	GaussianProcessModel.setAbsoluteExponentialKernel(AbsoluteExponentialKernel absoluteExponentialKernel)
GaussianProcessModel	GaussianProcessModel.setAlgorithmName(String algorithmName)
GaussianProcessModel	GaussianProcessModel.setARDSquaredExponentialKernel(ARDSquaredExponentialKernel ardSquaredExponentialKernel)
Lambda	Lambda.setArray(Array array)
GeneralizedExponentialKernel	GeneralizedExponentialKernel.setDegree(Number degree)
AbsoluteExponentialKernel	AbsoluteExponentialKernel.setDescription(String description)
RadialBasisKernel	RadialBasisKernel.setDescription(String description)
ARDSquaredExponentialKernel	ARDSquaredExponentialKernel.setDescription(String description)
GeneralizedExponentialKernel	GeneralizedExponentialKernel.setDescription(String description)
AbsoluteExponentialKernel	AbsoluteExponentialKernel.setGamma(Number gamma)
RadialBasisKernel	RadialBasisKernel.setGamma(Number gamma)
ARDSquaredExponentialKernel	ARDSquaredExponentialKernel.setGamma(Number gamma)
GeneralizedExponentialKernel	GeneralizedExponentialKernel.setGamma(Number gamma)
GaussianProcessModel	GaussianProcessModel.setGeneralizedExponentialKernel(GeneralizedExponentialKernel generalizedExponentialKernel)
RadialBasisKernel	RadialBasisKernel.setLambda(Number lambda)
GaussianProcessModel	GaussianProcessModel.setLocalTransformations(LocalTransformations localTransformations)
GaussianProcessModel	GaussianProcessModel.setMathContext(MathContext mathContext)
GaussianProcessModel	GaussianProcessModel.setMiningFunction(MiningFunction miningFunction)
GaussianProcessModel	GaussianProcessModel.setMiningSchema(MiningSchema miningSchema)
GaussianProcessModel	GaussianProcessModel.setModelExplanation(ModelExplanation modelExplanation)
GaussianProcessModel	GaussianProcessModel.setModelName(String modelName)
GaussianProcessModel	GaussianProcessModel.setModelStats(ModelStats modelStats)
GaussianProcessModel	GaussianProcessModel.setModelVerification(ModelVerification modelVerification)
AbsoluteExponentialKernel	AbsoluteExponentialKernel.setNoiseVariance(Number noiseVariance)
RadialBasisKernel	RadialBasisKernel.setNoiseVariance(Number noiseVariance)
ARDSquaredExponentialKernel	ARDSquaredExponentialKernel.setNoiseVariance(Number noiseVariance)
GeneralizedExponentialKernel	GeneralizedExponentialKernel.setNoiseVariance(Number noiseVariance)
GaussianProcessModel	GaussianProcessModel.setOptimizer(String optimizer)
GaussianProcessModel	GaussianProcessModel.setOutput(Output output)
GaussianProcessModel	GaussianProcessModel.setRadialBasisKernel(RadialBasisKernel radialBasisKernel)
GaussianProcessModel	GaussianProcessModel.setScorable(Boolean scorable)
GaussianProcessModel	GaussianProcessModel.setTargets(Targets targets)
GaussianProcessModel	GaussianProcessModel.setTrainingInstances(TrainingInstances trainingInstances)

Constructor parameters in org.dmg.pmml.gaussian_process with annotations of type Property

Constructor and Description
GaussianProcessModel(MiningFunction miningFunction, MiningSchema miningSchema, RadialBasisKernel radialBasisKernel, ARDSquaredExponentialKernel ardSquaredExponentialKernel, AbsoluteExponentialKernel absoluteExponentialKernel, GeneralizedExponentialKernel generalizedExponentialKernel, TrainingInstances trainingInstances)
GaussianProcessModel(MiningFunction miningFunction, MiningSchema miningSchema, RadialBasisKernel radialBasisKernel, ARDSquaredExponentialKernel ardSquaredExponentialKernel, AbsoluteExponentialKernel absoluteExponentialKernel, GeneralizedExponentialKernel generalizedExponentialKernel, TrainingInstances trainingInstances)
GaussianProcessModel(MiningFunction miningFunction, MiningSchema miningSchema, RadialBasisKernel radialBasisKernel, ARDSquaredExponentialKernel ardSquaredExponentialKernel, AbsoluteExponentialKernel absoluteExponentialKernel, GeneralizedExponentialKernel generalizedExponentialKernel, TrainingInstances trainingInstances)
GaussianProcessModel(MiningFunction miningFunction, MiningSchema miningSchema, RadialBasisKernel radialBasisKernel, ARDSquaredExponentialKernel ardSquaredExponentialKernel, AbsoluteExponentialKernel absoluteExponentialKernel, GeneralizedExponentialKernel generalizedExponentialKernel, TrainingInstances trainingInstances)
GaussianProcessModel(MiningFunction miningFunction, MiningSchema miningSchema, RadialBasisKernel radialBasisKernel, ARDSquaredExponentialKernel ardSquaredExponentialKernel, AbsoluteExponentialKernel absoluteExponentialKernel, GeneralizedExponentialKernel generalizedExponentialKernel, TrainingInstances trainingInstances)
GaussianProcessModel(MiningFunction miningFunction, MiningSchema miningSchema, RadialBasisKernel radialBasisKernel, ARDSquaredExponentialKernel ardSquaredExponentialKernel, AbsoluteExponentialKernel absoluteExponentialKernel, GeneralizedExponentialKernel generalizedExponentialKernel, TrainingInstances trainingInstances)
GaussianProcessModel(MiningFunction miningFunction, MiningSchema miningSchema, RadialBasisKernel radialBasisKernel, ARDSquaredExponentialKernel ardSquaredExponentialKernel, AbsoluteExponentialKernel absoluteExponentialKernel, GeneralizedExponentialKernel generalizedExponentialKernel, TrainingInstances trainingInstances)
Lambda(Array array)

Uses of Property in org.dmg.pmml.general_regression

Method parameters in org.dmg.pmml.general_regression with annotations of type Property

Modifier and Type	Method and Description
GeneralRegressionModel	GeneralRegressionModel.setAlgorithmName(String algorithmName)
GeneralRegressionModel	GeneralRegressionModel.setBaseCumHazardTables(BaseCumHazardTables baseCumHazardTables)
GeneralRegressionModel	GeneralRegressionModel.setBaselineStrataVariable(String baselineStrataVariable)
PCell	PCell.setBeta(Number beta)
Predictor	Predictor.setCategories(Categories categories)
Predictor	Predictor.setContrastMatrixType(String contrastMatrixType)
GeneralRegressionModel	GeneralRegressionModel.setCovariateList(CovariateList covariateList)
BaselineCell	BaselineCell.setCumHazard(Number cumHazard)
GeneralRegressionModel	GeneralRegressionModel.setCumulativeLinkFunction(GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction)
PCell	PCell.setDf(Integer df)
GeneralRegressionModel	GeneralRegressionModel.setDistParameter(Number distParameter)
GeneralRegressionModel	GeneralRegressionModel.setDistribution(GeneralRegressionModel.Distribution distribution)
GeneralRegressionModel	GeneralRegressionModel.setEndTimeVariable(String endTimeVariable)
GeneralRegressionModel	GeneralRegressionModel.setEventValues(EventValues eventValues)
GeneralRegressionModel	GeneralRegressionModel.setFactorList(FactorList factorList)
PPCell	PPCell.setField(String field)
Predictor	Predictor.setField(String field)
BaselineStratum	BaselineStratum.setLabel(String label)
Parameter	Parameter.setLabel(String label)
GeneralRegressionModel	GeneralRegressionModel.setLinkFunction(GeneralRegressionModel.LinkFunction linkFunction)
GeneralRegressionModel	GeneralRegressionModel.setLinkParameter(Number linkParameter)
GeneralRegressionModel	GeneralRegressionModel.setLocalTransformations(LocalTransformations localTransformations)
GeneralRegressionModel	GeneralRegressionModel.setMathContext(MathContext mathContext)
Predictor	Predictor.setMatrix(Matrix matrix)
BaseCumHazardTables	BaseCumHazardTables.setMaxTime(Number maxTime)
BaselineStratum	BaselineStratum.setMaxTime(Number maxTime)
GeneralRegressionModel	GeneralRegressionModel.setMiningFunction(MiningFunction miningFunction)
GeneralRegressionModel	GeneralRegressionModel.setMiningSchema(MiningSchema miningSchema)
GeneralRegressionModel	GeneralRegressionModel.setModelDF(Number modelDF)
GeneralRegressionModel	GeneralRegressionModel.setModelExplanation(ModelExplanation modelExplanation)
GeneralRegressionModel	GeneralRegressionModel.setModelName(String modelName)
GeneralRegressionModel	GeneralRegressionModel.setModelStats(ModelStats modelStats)
GeneralRegressionModel	GeneralRegressionModel.setModelType(GeneralRegressionModel.ModelType modelType)
GeneralRegressionModel	GeneralRegressionModel.setModelVerification(ModelVerification modelVerification)
Parameter	Parameter.setName(String name)
GeneralRegressionModel	GeneralRegressionModel.setOffsetValue(Number offsetValue)
GeneralRegressionModel	GeneralRegressionModel.setOffsetVariable(String offsetVariable)
GeneralRegressionModel	GeneralRegressionModel.setOutput(Output output)
GeneralRegressionModel	GeneralRegressionModel.setParameterList(ParameterList parameterList)
PPCell	PPCell.setParameterName(String parameterName)
PCell	PCell.setParameterName(String parameterName)
GeneralRegressionModel	GeneralRegressionModel.setParamMatrix(ParamMatrix paramMatrix)
PCovCell	PCovCell.setPCol(String pCol)
GeneralRegressionModel	GeneralRegressionModel.setPCovMatrix(PCovMatrix pCovMatrix)
GeneralRegressionModel	GeneralRegressionModel.setPPMatrix(PPMatrix ppMatrix)
PCovCell	PCovCell.setPRow(String pRow)
Parameter	Parameter.setReferencePoint(Number referencePoint)
GeneralRegressionModel	GeneralRegressionModel.setScorable(Boolean scorable)
GeneralRegressionModel	GeneralRegressionModel.setStartTimeVariable(String startTimeVariable)
GeneralRegressionModel	GeneralRegressionModel.setStatusVariable(String statusVariable)
GeneralRegressionModel	GeneralRegressionModel.setSubjectIDVariable(String subjectIDVariable)
PPCell	PPCell.setTargetCategory(Object targetCategory)
PCovCell	PCovCell.setTargetCategory(Object targetCategory)
PCell	PCell.setTargetCategory(Object targetCategory)
GeneralRegressionModel	GeneralRegressionModel.setTargetReferenceCategory(Object targetReferenceCategory)
GeneralRegressionModel	GeneralRegressionModel.setTargets(Targets targets)
GeneralRegressionModel	GeneralRegressionModel.setTargetVariable(String targetVariable)
PCovCell	PCovCell.setTCol(String tCol)
BaselineCell	BaselineCell.setTime(Number time)
GeneralRegressionModel	GeneralRegressionModel.setTrialsValue(Integer trialsValue)
GeneralRegressionModel	GeneralRegressionModel.setTrialsVariable(String trialsVariable)
PCovCell	PCovCell.setTRow(String tRow)
PCovMatrix	PCovMatrix.setType(PCovMatrix.Type type)
PCovCell	PCovCell.setValue(Number value)
PPCell	PPCell.setValue(Object value)
Category	Category.setValue(Object value)
BaselineStratum	BaselineStratum.setValue(Object value)

Constructor parameters in org.dmg.pmml.general_regression with annotations of type Property

Constructor and Description
BaseCumHazardTables(List<BaselineStratum> baselineStrata, List<BaselineCell> baselineCells)
BaseCumHazardTables(List<BaselineStratum> baselineStrata, List<BaselineCell> baselineCells)
BaselineCell(Number time, Number cumHazard)
BaselineCell(Number time, Number cumHazard)
BaselineStratum(Object value, Number maxTime)
BaselineStratum(Object value, Number maxTime)
Categories(List<Category> categories)
Category(Object value)
GeneralRegressionModel(GeneralRegressionModel.ModelType modelType, MiningFunction miningFunction, MiningSchema miningSchema, ParameterList parameterList, PPMatrix ppMatrix, ParamMatrix paramMatrix)
GeneralRegressionModel(GeneralRegressionModel.ModelType modelType, MiningFunction miningFunction, MiningSchema miningSchema, ParameterList parameterList, PPMatrix ppMatrix, ParamMatrix paramMatrix)
GeneralRegressionModel(GeneralRegressionModel.ModelType modelType, MiningFunction miningFunction, MiningSchema miningSchema, ParameterList parameterList, PPMatrix ppMatrix, ParamMatrix paramMatrix)
GeneralRegressionModel(GeneralRegressionModel.ModelType modelType, MiningFunction miningFunction, MiningSchema miningSchema, ParameterList parameterList, PPMatrix ppMatrix, ParamMatrix paramMatrix)
GeneralRegressionModel(GeneralRegressionModel.ModelType modelType, MiningFunction miningFunction, MiningSchema miningSchema, ParameterList parameterList, PPMatrix ppMatrix, ParamMatrix paramMatrix)
GeneralRegressionModel(GeneralRegressionModel.ModelType modelType, MiningFunction miningFunction, MiningSchema miningSchema, ParameterList parameterList, PPMatrix ppMatrix, ParamMatrix paramMatrix)
Parameter(String name)
PCell(String parameterName, Number beta)
PCell(String parameterName, Number beta)
PCovCell(String pRow, String pCol, Number value)
PCovCell(String pRow, String pCol, Number value)
PCovCell(String pRow, String pCol, Number value)
PCovMatrix(List<PCovCell> pCovCells)
PPCell(Object value, String field, String parameterName)
PPCell(Object value, String field, String parameterName)
PPCell(Object value, String field, String parameterName)
Predictor(String field)

Uses of Property in org.dmg.pmml.mining

Method parameters in org.dmg.pmml.mining with annotations of type Property

Modifier and Type	Method and Description
MiningModel	MiningModel.setAlgorithmName(String algorithmName)
VariableWeight	VariableWeight.setField(String field)
Segment	Segment.setId(String id)
Segmentation	Segmentation.setLocalTransformations(LocalTransformations localTransformations)
MiningModel	MiningModel.setLocalTransformations(LocalTransformations localTransformations)
MiningModel	MiningModel.setMathContext(MathContext mathContext)
MiningModel	MiningModel.setMiningFunction(MiningFunction miningFunction)
MiningModel	MiningModel.setMiningSchema(MiningSchema miningSchema)
Segmentation	Segmentation.setMissingPredictionTreatment(Segmentation.MissingPredictionTreatment missingPredictionTreatment)
Segmentation	Segmentation.setMissingThreshold(Number missingThreshold)
Segment	Segment.setModel(Model model)
MiningModel	MiningModel.setModelExplanation(ModelExplanation modelExplanation)
MiningModel	MiningModel.setModelName(String modelName)
MiningModel	MiningModel.setModelStats(ModelStats modelStats)
MiningModel	MiningModel.setModelVerification(ModelVerification modelVerification)
Segmentation	Segmentation.setMultipleModelMethod(Segmentation.MultipleModelMethod multipleModelMethod)
MiningModel	MiningModel.setOutput(Output output)
Segment	Segment.setPredicate(Predicate predicate)
MiningModel	MiningModel.setScorable(Boolean scorable)
MiningModel	MiningModel.setSegmentation(Segmentation segmentation)
MiningModel	MiningModel.setTargets(Targets targets)
Segment	Segment.setVariableWeight(VariableWeight variableWeight)
Segment	Segment.setWeight(Number weight)

Constructor parameters in org.dmg.pmml.mining with annotations of type Property

Constructor and Description
MiningModel(MiningFunction miningFunction, MiningSchema miningSchema)
MiningModel(MiningFunction miningFunction, MiningSchema miningSchema)
Segment(Predicate predicate, Model model)
Segment(Predicate predicate, Model model)
Segmentation(Segmentation.MultipleModelMethod multipleModelMethod, List<Segment> segments)
Segmentation(Segmentation.MultipleModelMethod multipleModelMethod, List<Segment> segments)
VariableWeight(String field)

Uses of Property in org.dmg.pmml.naive_bayes

Method parameters in org.dmg.pmml.naive_bayes with annotations of type Property

Modifier and Type	Method and Description
NaiveBayesModel	NaiveBayesModel.setAlgorithmName(String algorithmName)
NaiveBayesModel	NaiveBayesModel.setBayesInputs(BayesInputs bayesInputs)
NaiveBayesModel	NaiveBayesModel.setBayesOutput(BayesOutput bayesOutput)
TargetValueStat	TargetValueStat.setContinuousDistribution(ContinuousDistribution continuousDistribution)
TargetValueCount	TargetValueCount.setCount(Number count)
BayesInput	BayesInput.setDerivedField(DerivedField derivedField)
BayesInput	BayesInput.setField(String field)
NaiveBayesModel	NaiveBayesModel.setLocalTransformations(LocalTransformations localTransformations)
NaiveBayesModel	NaiveBayesModel.setMathContext(MathContext mathContext)
NaiveBayesModel	NaiveBayesModel.setMiningFunction(MiningFunction miningFunction)
NaiveBayesModel	NaiveBayesModel.setMiningSchema(MiningSchema miningSchema)
NaiveBayesModel	NaiveBayesModel.setModelExplanation(ModelExplanation modelExplanation)
NaiveBayesModel	NaiveBayesModel.setModelName(String modelName)
NaiveBayesModel	NaiveBayesModel.setModelStats(ModelStats modelStats)
NaiveBayesModel	NaiveBayesModel.setModelVerification(ModelVerification modelVerification)
NaiveBayesModel	NaiveBayesModel.setOutput(Output output)
NaiveBayesModel	NaiveBayesModel.setScorable(Boolean scorable)
BayesOutput	BayesOutput.setTargetField(String targetField)
NaiveBayesModel	NaiveBayesModel.setTargets(Targets targets)
BayesOutput	BayesOutput.setTargetValueCounts(TargetValueCounts targetValueCounts)
PairCounts	PairCounts.setTargetValueCounts(TargetValueCounts targetValueCounts)
BayesInput	BayesInput.setTargetValueStats(TargetValueStats targetValueStats)
NaiveBayesModel	NaiveBayesModel.setThreshold(Number threshold)
TargetValueStat	TargetValueStat.setValue(Object value)
TargetValueCount	TargetValueCount.setValue(Object value)
PairCounts	PairCounts.setValue(Object value)

Constructor parameters in org.dmg.pmml.naive_bayes with annotations of type Property

Constructor and Description
BayesInput(String field, TargetValueStats targetValueStats, List<PairCounts> pairCounts)
BayesInput(String field, TargetValueStats targetValueStats, List<PairCounts> pairCounts)
BayesInput(String field, TargetValueStats targetValueStats, List<PairCounts> pairCounts)
BayesInputs(List<BayesInput> bayesInputs)
BayesOutput(TargetValueCounts targetValueCounts)
NaiveBayesModel(Number threshold, MiningFunction miningFunction, MiningSchema miningSchema, BayesInputs bayesInputs, BayesOutput bayesOutput)
NaiveBayesModel(Number threshold, MiningFunction miningFunction, MiningSchema miningSchema, BayesInputs bayesInputs, BayesOutput bayesOutput)
NaiveBayesModel(Number threshold, MiningFunction miningFunction, MiningSchema miningSchema, BayesInputs bayesInputs, BayesOutput bayesOutput)
NaiveBayesModel(Number threshold, MiningFunction miningFunction, MiningSchema miningSchema, BayesInputs bayesInputs, BayesOutput bayesOutput)
NaiveBayesModel(Number threshold, MiningFunction miningFunction, MiningSchema miningSchema, BayesInputs bayesInputs, BayesOutput bayesOutput)
PairCounts(Object value, TargetValueCounts targetValueCounts)
PairCounts(Object value, TargetValueCounts targetValueCounts)
TargetValueCount(Object value, Number count)
TargetValueCount(Object value, Number count)
TargetValueCounts(List<TargetValueCount> targetValueCounts)
TargetValueStat(Object value, ContinuousDistribution continuousDistribution)
TargetValueStat(Object value, ContinuousDistribution continuousDistribution)
TargetValueStats(List<TargetValueStat> targetValueStats)

Uses of Property in org.dmg.pmml.nearest_neighbor

Method parameters in org.dmg.pmml.nearest_neighbor with annotations of type Property

Modifier and Type	Method and Description
NearestNeighborModel	NearestNeighborModel.setAlgorithmName(String algorithmName)
NearestNeighborModel	NearestNeighborModel.setCategoricalScoringMethod(NearestNeighborModel.CategoricalScoringMethod categoricalScoringMethod)
InstanceField	InstanceField.setColumn(String column)
KNNInput	KNNInput.setCompareFunction(CompareFunction compareFunction)
NearestNeighborModel	NearestNeighborModel.setComparisonMeasure(ComparisonMeasure comparisonMeasure)
NearestNeighborModel	NearestNeighborModel.setContinuousScoringMethod(NearestNeighborModel.ContinuousScoringMethod continuousScoringMethod)
KNNInput	KNNInput.setField(String field)
InstanceField	InstanceField.setField(String field)
TrainingInstances	TrainingInstances.setFieldCount(Integer fieldCount)
KNNInput	KNNInput.setFieldWeight(Number fieldWeight)
TrainingInstances	TrainingInstances.setInlineTable(InlineTable inlineTable)
TrainingInstances	TrainingInstances.setInstanceFields(InstanceFields instanceFields)
NearestNeighborModel	NearestNeighborModel.setInstanceIdVariable(String instanceIdVariable)
NearestNeighborModel	NearestNeighborModel.setKNNInputs(KNNInputs knnInputs)
NearestNeighborModel	NearestNeighborModel.setLocalTransformations(LocalTransformations localTransformations)
NearestNeighborModel	NearestNeighborModel.setMathContext(MathContext mathContext)
NearestNeighborModel	NearestNeighborModel.setMiningFunction(MiningFunction miningFunction)
NearestNeighborModel	NearestNeighborModel.setMiningSchema(MiningSchema miningSchema)
NearestNeighborModel	NearestNeighborModel.setModelExplanation(ModelExplanation modelExplanation)
NearestNeighborModel	NearestNeighborModel.setModelName(String modelName)
NearestNeighborModel	NearestNeighborModel.setModelStats(ModelStats modelStats)
NearestNeighborModel	NearestNeighborModel.setModelVerification(ModelVerification modelVerification)
NearestNeighborModel	NearestNeighborModel.setNumberOfNeighbors(Integer numberOfNeighbors)
NearestNeighborModel	NearestNeighborModel.setOutput(Output output)
TrainingInstances	TrainingInstances.setRecordCount(Integer recordCount)
NearestNeighborModel	NearestNeighborModel.setScorable(Boolean scorable)
TrainingInstances	TrainingInstances.setTableLocator(TableLocator tableLocator)
NearestNeighborModel	NearestNeighborModel.setTargets(Targets targets)
NearestNeighborModel	NearestNeighborModel.setThreshold(Number threshold)
NearestNeighborModel	NearestNeighborModel.setTrainingInstances(TrainingInstances trainingInstances)
TrainingInstances	TrainingInstances.setTransformed(Boolean transformed)

Constructor parameters in org.dmg.pmml.nearest_neighbor with annotations of type Property

Constructor and Description
InstanceField(String field)
InstanceFields(List<InstanceField> instanceFields)
KNNInput(String field)
KNNInputs(List<KNNInput> knnInputs)
NearestNeighborModel(MiningFunction miningFunction, Integer numberOfNeighbors, MiningSchema miningSchema, TrainingInstances trainingInstances, ComparisonMeasure comparisonMeasure, KNNInputs knnInputs)
NearestNeighborModel(MiningFunction miningFunction, Integer numberOfNeighbors, MiningSchema miningSchema, TrainingInstances trainingInstances, ComparisonMeasure comparisonMeasure, KNNInputs knnInputs)
NearestNeighborModel(MiningFunction miningFunction, Integer numberOfNeighbors, MiningSchema miningSchema, TrainingInstances trainingInstances, ComparisonMeasure comparisonMeasure, KNNInputs knnInputs)
NearestNeighborModel(MiningFunction miningFunction, Integer numberOfNeighbors, MiningSchema miningSchema, TrainingInstances trainingInstances, ComparisonMeasure comparisonMeasure, KNNInputs knnInputs)
NearestNeighborModel(MiningFunction miningFunction, Integer numberOfNeighbors, MiningSchema miningSchema, TrainingInstances trainingInstances, ComparisonMeasure comparisonMeasure, KNNInputs knnInputs)
NearestNeighborModel(MiningFunction miningFunction, Integer numberOfNeighbors, MiningSchema miningSchema, TrainingInstances trainingInstances, ComparisonMeasure comparisonMeasure, KNNInputs knnInputs)
TrainingInstances(InstanceFields instanceFields, InlineTable inlineTable)
TrainingInstances(InstanceFields instanceFields, InlineTable inlineTable)

Uses of Property in org.dmg.pmml.neural_network

Method parameters in org.dmg.pmml.neural_network with annotations of type Property

Modifier and Type	Method and Description
NeuralLayer	NeuralLayer.setActivationFunction(NeuralNetwork.ActivationFunction activationFunction)
NeuralNetwork	NeuralNetwork.setActivationFunction(NeuralNetwork.ActivationFunction activationFunction)
NeuralNetwork	NeuralNetwork.setAlgorithmName(String algorithmName)
NeuralLayer	NeuralLayer.setAltitude(Number altitude)
NeuralNetwork	NeuralNetwork.setAltitude(Number altitude)
Neuron	Neuron.setAltitude(Number altitude)
Neuron	Neuron.setBias(Number bias)
NeuralOutput	NeuralOutput.setDerivedField(DerivedField derivedField)
NeuralInput	NeuralInput.setDerivedField(DerivedField derivedField)
Connection	Connection.setFrom(String from)
NeuralInput	NeuralInput.setId(String id)
Neuron	Neuron.setId(String id)
NeuralLayer	NeuralLayer.setLeakage(Number leakage)
NeuralNetwork	NeuralNetwork.setLeakage(Number leakage)
NeuralNetwork	NeuralNetwork.setLocalTransformations(LocalTransformations localTransformations)
NeuralNetwork	NeuralNetwork.setMathContext(MathContext mathContext)
NeuralNetwork	NeuralNetwork.setMiningFunction(MiningFunction miningFunction)
NeuralNetwork	NeuralNetwork.setMiningSchema(MiningSchema miningSchema)
NeuralNetwork	NeuralNetwork.setModelExplanation(ModelExplanation modelExplanation)
NeuralNetwork	NeuralNetwork.setModelName(String modelName)
NeuralNetwork	NeuralNetwork.setModelStats(ModelStats modelStats)
NeuralNetwork	NeuralNetwork.setModelVerification(ModelVerification modelVerification)
NeuralNetwork	NeuralNetwork.setNeuralInputs(NeuralInputs neuralInputs)
NeuralNetwork	NeuralNetwork.setNeuralOutputs(NeuralOutputs neuralOutputs)
NeuralLayer	NeuralLayer.setNormalizationMethod(NeuralNetwork.NormalizationMethod normalizationMethod)
NeuralNetwork	NeuralNetwork.setNormalizationMethod(NeuralNetwork.NormalizationMethod normalizationMethod)
NeuralInputs	NeuralInputs.setNumberOfInputs(Integer numberOfInputs)
NeuralNetwork	NeuralNetwork.setNumberOfLayers(Integer numberOfLayers)
NeuralLayer	NeuralLayer.setNumberOfNeurons(Integer numberOfNeurons)
NeuralOutputs	NeuralOutputs.setNumberOfOutputs(Integer numberOfOutputs)
NeuralNetwork	NeuralNetwork.setOutput(Output output)
NeuralOutput	NeuralOutput.setOutputNeuron(String outputNeuron)
NeuralNetwork	NeuralNetwork.setScorable(Boolean scorable)
NeuralNetwork	NeuralNetwork.setTargets(Targets targets)
NeuralLayer	NeuralLayer.setThreshold(Number threshold)
NeuralNetwork	NeuralNetwork.setThreshold(Number threshold)
Connection	Connection.setWeight(Number weight)
NeuralLayer	NeuralLayer.setWidth(Number width)
NeuralNetwork	NeuralNetwork.setWidth(Number width)
Neuron	Neuron.setWidth(Number width)

Constructor parameters in org.dmg.pmml.neural_network with annotations of type Property

Constructor and Description
Connection(String from, Number weight)
Connection(String from, Number weight)
NeuralInput(String id, DerivedField derivedField)
NeuralInput(String id, DerivedField derivedField)
NeuralInputs(List<NeuralInput> neuralInputs)
NeuralLayer(List<Neuron> neurons)
NeuralNetwork(MiningFunction miningFunction, NeuralNetwork.ActivationFunction activationFunction, MiningSchema miningSchema, NeuralInputs neuralInputs, List<NeuralLayer> neuralLayers)
NeuralNetwork(MiningFunction miningFunction, NeuralNetwork.ActivationFunction activationFunction, MiningSchema miningSchema, NeuralInputs neuralInputs, List<NeuralLayer> neuralLayers)
NeuralNetwork(MiningFunction miningFunction, NeuralNetwork.ActivationFunction activationFunction, MiningSchema miningSchema, NeuralInputs neuralInputs, List<NeuralLayer> neuralLayers)
NeuralNetwork(MiningFunction miningFunction, NeuralNetwork.ActivationFunction activationFunction, MiningSchema miningSchema, NeuralInputs neuralInputs, List<NeuralLayer> neuralLayers)
NeuralNetwork(MiningFunction miningFunction, NeuralNetwork.ActivationFunction activationFunction, MiningSchema miningSchema, NeuralInputs neuralInputs, List<NeuralLayer> neuralLayers)
NeuralOutput(String outputNeuron, DerivedField derivedField)
NeuralOutput(String outputNeuron, DerivedField derivedField)
NeuralOutputs(List<NeuralOutput> neuralOutputs)
Neuron(String id, List<Connection> connections)
Neuron(String id, List<Connection> connections)

Uses of Property in org.dmg.pmml.regression

Method parameters in org.dmg.pmml.regression with annotations of type Property

Modifier and Type	Method and Description
Regression	Regression.setAlgorithmName(String algorithmName)
RegressionModel	RegressionModel.setAlgorithmName(String algorithmName)
NumericPredictor	NumericPredictor.setCoefficient(Number coefficient)
CategoricalPredictor	CategoricalPredictor.setCoefficient(Number coefficient)
PredictorTerm	PredictorTerm.setCoefficient(Number coefficient)
NumericPredictor	NumericPredictor.setExponent(Integer exponent)
NumericPredictor	NumericPredictor.setField(String field)
CategoricalPredictor	CategoricalPredictor.setField(String field)
RegressionTable	RegressionTable.setIntercept(Number intercept)
Regression	Regression.setLocalTransformations(LocalTransformations localTransformations)
RegressionModel	RegressionModel.setLocalTransformations(LocalTransformations localTransformations)
RegressionModel	RegressionModel.setMathContext(MathContext mathContext)
Regression	Regression.setMiningFunction(MiningFunction miningFunction)
RegressionModel	RegressionModel.setMiningFunction(MiningFunction miningFunction)
RegressionModel	RegressionModel.setMiningSchema(MiningSchema miningSchema)
RegressionModel	RegressionModel.setModelExplanation(ModelExplanation modelExplanation)
Regression	Regression.setModelName(String modelName)
RegressionModel	RegressionModel.setModelName(String modelName)
Regression	Regression.setModelStats(ModelStats modelStats)
RegressionModel	RegressionModel.setModelStats(ModelStats modelStats)
RegressionModel	RegressionModel.setModelType(RegressionModel.ModelType modelType)
RegressionModel	RegressionModel.setModelVerification(ModelVerification modelVerification)
PredictorTerm	PredictorTerm.setName(String name)
Regression	Regression.setNormalizationMethod(RegressionModel.NormalizationMethod normalizationMethod)
RegressionModel	RegressionModel.setNormalizationMethod(RegressionModel.NormalizationMethod normalizationMethod)
Regression	Regression.setOutput(Output output)
RegressionModel	RegressionModel.setOutput(Output output)
RegressionModel	RegressionModel.setScorable(Boolean scorable)
RegressionTable	RegressionTable.setTargetCategory(Object targetCategory)
RegressionModel	RegressionModel.setTargetField(String targetField)
Regression	Regression.setTargets(Targets targets)
RegressionModel	RegressionModel.setTargets(Targets targets)
CategoricalPredictor	CategoricalPredictor.setValue(Object value)

Constructor parameters in org.dmg.pmml.regression with annotations of type Property

Constructor and Description
CategoricalPredictor(String field, Object value, Number coefficient)
CategoricalPredictor(String field, Object value, Number coefficient)
CategoricalPredictor(String field, Object value, Number coefficient)
NumericPredictor(String field, Number coefficient)
NumericPredictor(String field, Number coefficient)
PredictorTerm(Number coefficient, List<FieldRef> fieldRefs)
PredictorTerm(Number coefficient, List<FieldRef> fieldRefs)
Regression(MiningFunction miningFunction, List<RegressionTable> regressionTables)
Regression(MiningFunction miningFunction, List<RegressionTable> regressionTables)
RegressionModel(MiningFunction miningFunction, MiningSchema miningSchema, List<RegressionTable> regressionTables)
RegressionModel(MiningFunction miningFunction, MiningSchema miningSchema, List<RegressionTable> regressionTables)
RegressionModel(MiningFunction miningFunction, MiningSchema miningSchema, List<RegressionTable> regressionTables)
RegressionTable(Number intercept)

Uses of Property in org.dmg.pmml.rule_set

Method parameters in org.dmg.pmml.rule_set with annotations of type Property

Modifier and Type	Method and Description
RuleSetModel	RuleSetModel.setAlgorithmName(String algorithmName)
SimpleRule	SimpleRule.setConfidence(Number confidence)
RuleSelectionMethod	RuleSelectionMethod.setCriterion(RuleSelectionMethod.Criterion criterion)
RuleSet	RuleSet.setDefaultConfidence(Number defaultConfidence)
RuleSet	RuleSet.setDefaultScore(Object defaultScore)
SimpleRule	SimpleRule.setId(String id)
RuleSetModel	RuleSetModel.setLocalTransformations(LocalTransformations localTransformations)
RuleSetModel	RuleSetModel.setMathContext(MathContext mathContext)
RuleSetModel	RuleSetModel.setMiningFunction(MiningFunction miningFunction)
RuleSetModel	RuleSetModel.setMiningSchema(MiningSchema miningSchema)
RuleSetModel	RuleSetModel.setModelExplanation(ModelExplanation modelExplanation)
RuleSetModel	RuleSetModel.setModelName(String modelName)
RuleSetModel	RuleSetModel.setModelStats(ModelStats modelStats)
RuleSetModel	RuleSetModel.setModelVerification(ModelVerification modelVerification)
RuleSet	RuleSet.setNbCorrect(Number nbCorrect)
SimpleRule	SimpleRule.setNbCorrect(Number nbCorrect)
RuleSetModel	RuleSetModel.setOutput(Output output)
CompoundRule	CompoundRule.setPredicate(Predicate predicate)
SimpleRule	SimpleRule.setPredicate(Predicate predicate)
RuleSet	RuleSet.setRecordCount(Number recordCount)
SimpleRule	SimpleRule.setRecordCount(Number recordCount)
RuleSetModel	RuleSetModel.setRuleSet(RuleSet ruleSet)
RuleSetModel	RuleSetModel.setScorable(Boolean scorable)
SimpleRule	SimpleRule.setScore(Object score)
RuleSetModel	RuleSetModel.setTargets(Targets targets)
SimpleRule	SimpleRule.setWeight(Number weight)

Constructor parameters in org.dmg.pmml.rule_set with annotations of type Property

Constructor and Description
CompoundRule(Predicate predicate, List<Rule> rules)
CompoundRule(Predicate predicate, List<Rule> rules)
RuleSelectionMethod(RuleSelectionMethod.Criterion criterion)
RuleSet(List<RuleSelectionMethod> ruleSelectionMethods)
RuleSetModel(MiningFunction miningFunction, MiningSchema miningSchema, RuleSet ruleSet)
RuleSetModel(MiningFunction miningFunction, MiningSchema miningSchema, RuleSet ruleSet)
RuleSetModel(MiningFunction miningFunction, MiningSchema miningSchema, RuleSet ruleSet)
SimpleRule(Object score, Predicate predicate)
SimpleRule(Object score, Predicate predicate)

Uses of Property in org.dmg.pmml.scorecard

Method parameters in org.dmg.pmml.scorecard with annotations of type Property

Modifier and Type	Method and Description
Scorecard	Scorecard.setAlgorithmName(String algorithmName)
Scorecard	Scorecard.setBaselineMethod(Scorecard.BaselineMethod baselineMethod)
Characteristic	Characteristic.setBaselineScore(Number baselineScore)
Scorecard	Scorecard.setBaselineScore(Number baselineScore)
Scorecard	Scorecard.setCharacteristics(Characteristics characteristics)
Attribute	Attribute.setComplexPartialScore(ComplexPartialScore complexPartialScore)
ComplexPartialScore	ComplexPartialScore.setExpression(Expression expression)
Scorecard	Scorecard.setInitialScore(Number initialScore)
Scorecard	Scorecard.setLocalTransformations(LocalTransformations localTransformations)
Scorecard	Scorecard.setMathContext(MathContext mathContext)
Scorecard	Scorecard.setMiningFunction(MiningFunction miningFunction)
Scorecard	Scorecard.setMiningSchema(MiningSchema miningSchema)
Scorecard	Scorecard.setModelExplanation(ModelExplanation modelExplanation)
Scorecard	Scorecard.setModelName(String modelName)
Scorecard	Scorecard.setModelStats(ModelStats modelStats)
Scorecard	Scorecard.setModelVerification(ModelVerification modelVerification)
Characteristic	Characteristic.setName(String name)
Scorecard	Scorecard.setOutput(Output output)
Attribute	Attribute.setPartialScore(Number partialScore)
Attribute	Attribute.setPredicate(Predicate predicate)
Characteristic	Characteristic.setReasonCode(String reasonCode)
Attribute	Attribute.setReasonCode(String reasonCode)
Scorecard	Scorecard.setReasonCodeAlgorithm(Scorecard.ReasonCodeAlgorithm reasonCodeAlgorithm)
Scorecard	Scorecard.setScorable(Boolean scorable)
Scorecard	Scorecard.setTargets(Targets targets)
Scorecard	Scorecard.setUseReasonCodes(Boolean useReasonCodes)

Constructor parameters in org.dmg.pmml.scorecard with annotations of type Property

Constructor and Description
Attribute(Predicate predicate)
Characteristic(List<Attribute> attributes)
Characteristics(List<Characteristic> characteristics)
ComplexPartialScore(Expression expression)
Scorecard(MiningFunction miningFunction, MiningSchema miningSchema, Characteristics characteristics)
Scorecard(MiningFunction miningFunction, MiningSchema miningSchema, Characteristics characteristics)
Scorecard(MiningFunction miningFunction, MiningSchema miningSchema, Characteristics characteristics)

Uses of Property in org.dmg.pmml.sequence

Method parameters in org.dmg.pmml.sequence with annotations of type Property

Modifier and Type	Method and Description
SequenceModel	SequenceModel.setAlgorithmName(String algorithmName)
SetPredicate	SetPredicate.setArray(Array array)
SequenceModel	SequenceModel.setAvgNumberOfItemsPerTransaction(Number avgNumberOfItemsPerTransaction)
SequenceModel	SequenceModel.setAvgNumberOfTAsPerTAGroup(Number avgNumberOfTAsPerTAGroup)
SequenceRule	SequenceRule.setConfidence(Number confidence)
SequenceModel	SequenceModel.setConstraints(Constraints constraints)
Delimiter	Delimiter.setDelimiter(Delimiter.TimeWindow delimiter)
SetPredicate	SetPredicate.setField(String field)
Delimiter	Delimiter.setGap(Delimiter.Gap gap)
SequenceRule	SequenceRule.setId(String id)
Sequence	Sequence.setId(String id)
SetPredicate	SetPredicate.setId(String id)
SequenceModel	SequenceModel.setLengthLimit(Integer lengthLimit)
SequenceRule	SequenceRule.setLift(Number lift)
SequenceModel	SequenceModel.setLocalTransformations(LocalTransformations localTransformations)
SequenceModel	SequenceModel.setMathContext(MathContext mathContext)
Time	Time.setMax(Number max)
Constraints	Constraints.setMaximumAntConsSeparationTime(Number maximumAntConsSeparationTime)
Constraints	Constraints.setMaximumItemsetSeparationTime(Number maximumItemsetSeparationTime)
Constraints	Constraints.setMaximumNumberOfAntecedentItems(Integer maximumNumberOfAntecedentItems)
Constraints	Constraints.setMaximumNumberOfConsequentItems(Integer maximumNumberOfConsequentItems)
Constraints	Constraints.setMaximumNumberOfItems(Integer maximumNumberOfItems)
SequenceModel	SequenceModel.setMaximumTime(Integer maximumTime)
Constraints	Constraints.setMaximumTotalSequenceTime(Number maximumTotalSequenceTime)
SequenceModel	SequenceModel.setMaxNumberOfItemsPerTransaction(Integer maxNumberOfItemsPerTransaction)
SequenceModel	SequenceModel.setMaxNumberOfTAsPerTAGroup(Integer maxNumberOfTAsPerTAGroup)
Time	Time.setMean(Number mean)
Time	Time.setMin(Number min)
Constraints	Constraints.setMinimumAntConsSeparationTime(Number minimumAntConsSeparationTime)
Constraints	Constraints.setMinimumConfidence(Number minimumConfidence)
SequenceModel	SequenceModel.setMinimumConfidence(Number minimumConfidence)
Constraints	Constraints.setMinimumItemsetSeparationTime(Number minimumItemsetSeparationTime)
Constraints	Constraints.setMinimumLift(Number minimumLift)
Constraints	Constraints.setMinimumNumberOfAntecedentItems(Integer minimumNumberOfAntecedentItems)
Constraints	Constraints.setMinimumNumberOfConsequentItems(Integer minimumNumberOfConsequentItems)
Constraints	Constraints.setMinimumNumberOfItems(Integer minimumNumberOfItems)
Constraints	Constraints.setMinimumSupport(Number minimumSupport)
SequenceModel	SequenceModel.setMinimumSupport(Number minimumSupport)
SequenceModel	SequenceModel.setMinimumTime(Integer minimumTime)
Constraints	Constraints.setMinimumTotalSequenceTime(Number minimumTotalSequenceTime)
SequenceModel	SequenceModel.setMiningFunction(MiningFunction miningFunction)
SequenceModel	SequenceModel.setMiningSchema(MiningSchema miningSchema)
SequenceModel	SequenceModel.setModelName(String modelName)
SequenceModel	SequenceModel.setModelStats(ModelStats modelStats)
SequenceModel	SequenceModel.setNumberOfItems(Integer numberOfItems)
SequenceModel	SequenceModel.setNumberOfRules(Integer numberOfRules)
SequenceModel	SequenceModel.setNumberOfSequences(Integer numberOfSequences)
SequenceRule	SequenceRule.setNumberOfSets(Integer numberOfSets)
Sequence	Sequence.setNumberOfSets(Integer numberOfSets)
SequenceModel	SequenceModel.setNumberOfSets(Integer numberOfSets)
SequenceModel	SequenceModel.setNumberOfTransactionGroups(Integer numberOfTransactionGroups)
SequenceModel	SequenceModel.setNumberOfTransactions(Integer numberOfTransactions)
SequenceRule	SequenceRule.setOccurrence(Integer occurrence)
Sequence	Sequence.setOccurrence(Integer occurrence)
SetPredicate	SetPredicate.setOperator(SetPredicate.Operator operator)
SequenceModel	SequenceModel.setScorable(Boolean scorable)
SequenceReference	SequenceReference.setSeqId(String seqId)
ConsequentSequence	ConsequentSequence.setSequenceReference(SequenceReference sequenceReference)
AntecedentSequence	AntecedentSequence.setSequenceReference(SequenceReference sequenceReference)
SetReference	SetReference.setSetId(String setId)
Sequence	Sequence.setSetReference(SetReference setReference)
Time	Time.setStandardDeviation(Number standardDeviation)
SequenceRule	SequenceRule.setSupport(Number support)
Sequence	Sequence.setSupport(Number support)
ConsequentSequence	ConsequentSequence.setTime(Time time)
AntecedentSequence	AntecedentSequence.setTime(Time time)
Sequence	Sequence.setTime(Time time)
SequenceModel	SequenceModel.setTimeWindowWidth(Integer timeWindowWidth)

Constructor parameters in org.dmg.pmml.sequence with annotations of type Property

Constructor and Description
AntecedentSequence(SequenceReference sequenceReference)
ConsequentSequence(SequenceReference sequenceReference)
Delimiter(Delimiter.TimeWindow delimiter, Delimiter.Gap gap)
Delimiter(Delimiter.TimeWindow delimiter, Delimiter.Gap gap)
Sequence(String id, SetReference setReference)
Sequence(String id, SetReference setReference)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceModel(MiningFunction miningFunction, Number minimumSupport, Number minimumConfidence, Integer numberOfItems, Integer numberOfSets, Integer numberOfSequences, Integer numberOfRules, MiningSchema miningSchema, List<Sequence> sequences)
SequenceReference(String seqId)
SequenceRule(String id, Integer numberOfSets, Integer occurrence, Number support, Number confidence)
SequenceRule(String id, Integer numberOfSets, Integer occurrence, Number support, Number confidence)
SequenceRule(String id, Integer numberOfSets, Integer occurrence, Number support, Number confidence)
SequenceRule(String id, Integer numberOfSets, Integer occurrence, Number support, Number confidence)
SequenceRule(String id, Integer numberOfSets, Integer occurrence, Number support, Number confidence)
SetPredicate(String id, String field, Array array)
SetPredicate(String id, String field, Array array)
SetPredicate(String id, String field, Array array)
SetReference(String setId)

Uses of Property in org.dmg.pmml.support_vector_machine

Method parameters in org.dmg.pmml.support_vector_machine with annotations of type Property

Modifier and Type	Method and Description
Coefficients	Coefficients.setAbsoluteValue(Number absoluteValue)
SupportVectorMachineModel	SupportVectorMachineModel.setAlgorithmName(String algorithmName)
SupportVectorMachineModel	SupportVectorMachineModel.setAlternateBinaryTargetCategory(Object alternateBinaryTargetCategory)
SupportVectorMachine	SupportVectorMachine.setAlternateTargetCategory(Object alternateTargetCategory)
VectorInstance	VectorInstance.setArray(Array array)
SupportVectorMachineModel	SupportVectorMachineModel.setClassificationMethod(SupportVectorMachineModel.ClassificationMethod classificationMethod)
PolynomialKernel	PolynomialKernel.setCoef0(Number coef0)
SigmoidKernel	SigmoidKernel.setCoef0(Number coef0)
SupportVectorMachine	SupportVectorMachine.setCoefficients(Coefficients coefficients)
PolynomialKernel	PolynomialKernel.setDegree(Number degree)
LinearKernel	LinearKernel.setDescription(String description)
PolynomialKernel	PolynomialKernel.setDescription(String description)
SigmoidKernel	SigmoidKernel.setDescription(String description)
RadialBasisKernel	RadialBasisKernel.setDescription(String description)
PolynomialKernel	PolynomialKernel.setGamma(Number gamma)
SigmoidKernel	SigmoidKernel.setGamma(Number gamma)
RadialBasisKernel	RadialBasisKernel.setGamma(Number gamma)
VectorInstance	VectorInstance.setId(String id)
SupportVectorMachineModel	SupportVectorMachineModel.setKernel(Kernel kernel)
SupportVectorMachineModel	SupportVectorMachineModel.setLocalTransformations(LocalTransformations localTransformations)
SupportVectorMachineModel	SupportVectorMachineModel.setMathContext(MathContext mathContext)
SupportVectorMachineModel	SupportVectorMachineModel.setMaxWins(Boolean maxWins)
SupportVectorMachineModel	SupportVectorMachineModel.setMiningFunction(MiningFunction miningFunction)
SupportVectorMachineModel	SupportVectorMachineModel.setMiningSchema(MiningSchema miningSchema)
SupportVectorMachineModel	SupportVectorMachineModel.setModelExplanation(ModelExplanation modelExplanation)
SupportVectorMachineModel	SupportVectorMachineModel.setModelName(String modelName)
SupportVectorMachineModel	SupportVectorMachineModel.setModelStats(ModelStats modelStats)
SupportVectorMachineModel	SupportVectorMachineModel.setModelVerification(ModelVerification modelVerification)
SupportVectors	SupportVectors.setNumberOfAttributes(Integer numberOfAttributes)
Coefficients	Coefficients.setNumberOfCoefficients(Integer numberOfCoefficients)
VectorFields	VectorFields.setNumberOfFields(Integer numberOfFields)
SupportVectors	SupportVectors.setNumberOfSupportVectors(Integer numberOfSupportVectors)
VectorDictionary	VectorDictionary.setNumberOfVectors(Integer numberOfVectors)
SupportVectorMachineModel	SupportVectorMachineModel.setOutput(Output output)
VectorInstance	VectorInstance.setRealSparseArray(RealSparseArray realSparseArray)
SupportVectorMachineModel	SupportVectorMachineModel.setRepresentation(SupportVectorMachineModel.Representation representation)
SupportVectorMachineModel	SupportVectorMachineModel.setScorable(Boolean scorable)
SupportVectorMachine	SupportVectorMachine.setSupportVectors(SupportVectors supportVectors)
SupportVectorMachine	SupportVectorMachine.setTargetCategory(Object targetCategory)
SupportVectorMachineModel	SupportVectorMachineModel.setTargets(Targets targets)
SupportVectorMachineModel	SupportVectorMachineModel.setThreshold(Number threshold)
SupportVectorMachine	SupportVectorMachine.setThreshold(Number threshold)
Coefficient	Coefficient.setValue(Number value)
SupportVectorMachineModel	SupportVectorMachineModel.setVectorDictionary(VectorDictionary vectorDictionary)
VectorDictionary	VectorDictionary.setVectorFields(VectorFields vectorFields)
SupportVector	SupportVector.setVectorId(String vectorId)

Constructor parameters in org.dmg.pmml.support_vector_machine with annotations of type Property

Constructor and Description
Coefficients(List<Coefficient> coefficients)
SupportVector(String vectorId)
SupportVectorMachine(Coefficients coefficients)
SupportVectorMachineModel(MiningFunction miningFunction, MiningSchema miningSchema, Kernel kernel, VectorDictionary vectorDictionary, List<SupportVectorMachine> supportVectorMachines)
SupportVectorMachineModel(MiningFunction miningFunction, MiningSchema miningSchema, Kernel kernel, VectorDictionary vectorDictionary, List<SupportVectorMachine> supportVectorMachines)
SupportVectorMachineModel(MiningFunction miningFunction, MiningSchema miningSchema, Kernel kernel, VectorDictionary vectorDictionary, List<SupportVectorMachine> supportVectorMachines)
SupportVectorMachineModel(MiningFunction miningFunction, MiningSchema miningSchema, Kernel kernel, VectorDictionary vectorDictionary, List<SupportVectorMachine> supportVectorMachines)
SupportVectorMachineModel(MiningFunction miningFunction, MiningSchema miningSchema, Kernel kernel, VectorDictionary vectorDictionary, List<SupportVectorMachine> supportVectorMachines)
SupportVectors(List<SupportVector> supportVectors)
VectorDictionary(VectorFields vectorFields)
VectorFields(List<PMMLObject> content)
VectorInstance(String id, RealSparseArray realSparseArray, Array array)
VectorInstance(String id, RealSparseArray realSparseArray, Array array)
VectorInstance(String id, RealSparseArray realSparseArray, Array array)

Uses of Property in org.dmg.pmml.text

Method parameters in org.dmg.pmml.text with annotations of type Property

Modifier and Type	Method and Description
TextModel	TextModel.setAlgorithmName(String algorithmName)
TextDictionary	TextDictionary.setArray(Array array)
TextModelNormalization	TextModelNormalization.setDocumentNormalization(TextModelNormalization.DocumentNormalization documentNormalization)
TextModel	TextModel.setDocumentTermMatrix(DocumentTermMatrix documentTermMatrix)
TextDocument	TextDocument.setFile(String file)
TextModelNormalization	TextModelNormalization.setGlobalTermWeights(TextModelNormalization.GlobalTermWeights globalTermWeights)
TextDocument	TextDocument.setId(String id)
TextDocument	TextDocument.setLength(Integer length)
TextModelNormalization	TextModelNormalization.setLocalTermWeights(TextModelNormalization.LocalTermWeights localTermWeights)
TextModel	TextModel.setLocalTransformations(LocalTransformations localTransformations)
TextModel	TextModel.setMathContext(MathContext mathContext)
DocumentTermMatrix	DocumentTermMatrix.setMatrix(Matrix matrix)
TextModel	TextModel.setMiningFunction(MiningFunction miningFunction)
TextModel	TextModel.setMiningSchema(MiningSchema miningSchema)
TextModel	TextModel.setModelExplanation(ModelExplanation modelExplanation)
TextModel	TextModel.setModelName(String modelName)
TextModel	TextModel.setModelStats(ModelStats modelStats)
TextModel	TextModel.setModelVerification(ModelVerification modelVerification)
TextDocument	TextDocument.setName(String name)
TextModel	TextModel.setNumberOfDocuments(Integer numberOfDocuments)
TextModel	TextModel.setNumberOfTerms(Integer numberOfTerms)
TextModel	TextModel.setOutput(Output output)
TextModel	TextModel.setScorable(Boolean scorable)
TextModelSimiliarity	TextModelSimiliarity.setSimilarityType(TextModelSimiliarity.SimilarityType similarityType)
TextModel	TextModel.setTargets(Targets targets)
TextDictionary	TextDictionary.setTaxonomy(Taxonomy taxonomy)
TextModel	TextModel.setTextCorpus(TextCorpus textCorpus)
TextModel	TextModel.setTextDictionary(TextDictionary textDictionary)
TextModel	TextModel.setTextModelNormalization(TextModelNormalization textModelNormalization)
TextModel	TextModel.setTextModelSimiliarity(TextModelSimiliarity textModelSimiliarity)

Constructor parameters in org.dmg.pmml.text with annotations of type Property

Constructor and Description
DocumentTermMatrix(Matrix matrix)
TextDictionary(Array array)
TextDocument(String id)
TextModel(MiningFunction miningFunction, Integer numberOfTerms, Integer numberOfDocuments, MiningSchema miningSchema, TextDictionary textDictionary, TextCorpus textCorpus, DocumentTermMatrix documentTermMatrix)
TextModel(MiningFunction miningFunction, Integer numberOfTerms, Integer numberOfDocuments, MiningSchema miningSchema, TextDictionary textDictionary, TextCorpus textCorpus, DocumentTermMatrix documentTermMatrix)
TextModel(MiningFunction miningFunction, Integer numberOfTerms, Integer numberOfDocuments, MiningSchema miningSchema, TextDictionary textDictionary, TextCorpus textCorpus, DocumentTermMatrix documentTermMatrix)
TextModel(MiningFunction miningFunction, Integer numberOfTerms, Integer numberOfDocuments, MiningSchema miningSchema, TextDictionary textDictionary, TextCorpus textCorpus, DocumentTermMatrix documentTermMatrix)
TextModel(MiningFunction miningFunction, Integer numberOfTerms, Integer numberOfDocuments, MiningSchema miningSchema, TextDictionary textDictionary, TextCorpus textCorpus, DocumentTermMatrix documentTermMatrix)
TextModel(MiningFunction miningFunction, Integer numberOfTerms, Integer numberOfDocuments, MiningSchema miningSchema, TextDictionary textDictionary, TextCorpus textCorpus, DocumentTermMatrix documentTermMatrix)
TextModel(MiningFunction miningFunction, Integer numberOfTerms, Integer numberOfDocuments, MiningSchema miningSchema, TextDictionary textDictionary, TextCorpus textCorpus, DocumentTermMatrix documentTermMatrix)

Uses of Property in org.dmg.pmml.time_series

Method parameters in org.dmg.pmml.time_series with annotations of type Property

Modifier and Type	Method and Description
TimeSeriesModel	TimeSeriesModel.setAlgorithmName(String algorithmName)
Level	Level.setAlpha(Number alpha)
ARMAPart	ARMAPart.setAR(AR ar)
SeasonalComponent	SeasonalComponent.setAR(AR ar)
NonseasonalComponent	NonseasonalComponent.setAR(AR ar)
TimeSeriesModel	TimeSeriesModel.setARIMA(ARIMA arima)
GARCH	GARCH.setARMAPart(ARMAPart armaPart)
FinalNoise	FinalNoise.setArray(Array array)
Residuals	Residuals.setArray(Array array)
FinalStateVector	FinalStateVector.setArray(Array array)
StateVector	StateVector.setArray(Array array)
InterceptVector	InterceptVector.setArray(Array array)
PsiVector	PsiVector.setArray(Array array)
FinalNu	FinalNu.setArray(Array array)
SeasonalFactor	SeasonalFactor.setArray(Array array)
SeasonalityExpoSmooth	SeasonalityExpoSmooth.setArray(Array array)
TimeCycle	TimeCycle.setArray(Array array)
TimeException	TimeException.setArray(Array array)
MACoefficients	MACoefficients.setArray(Array array)
FinalPredictedNoise	FinalPredictedNoise.setArray(Array array)
NonseasonalFactor	NonseasonalFactor.setArray(Array array)
TrendExpoSmooth	TrendExpoSmooth.setArray(Array array)
AR	AR.setArray(Array array)
TransferFunctionValues	TransferFunctionValues.setArray(Array array)
PastVariances	PastVariances.setArray(Array array)
HVector	HVector.setArray(Array array)
TimeSeriesModel	TimeSeriesModel.setBestFit(TimeSeriesModel.Algorithm bestFit)
ARMAPart	ARMAPart.setConstant(Number constant)
GARCHPart	GARCHPart.setConstant(Number constant)
ARIMA	ARIMA.setConstantTerm(Number constantTerm)
TimeException	TimeException.setCount(Integer count)
Level	Level.setCubicSmoothedValue(Number cubicSmoothedValue)
SeasonalComponent	SeasonalComponent.setD(Integer d)
NonseasonalComponent	NonseasonalComponent.setD(Integer d)
OutlierEffect	OutlierEffect.setDampingCoefficient(Number dampingCoefficient)
DynamicRegressor	DynamicRegressor.setDelay(Integer delay)
SeasonalityExpoSmooth	SeasonalityExpoSmooth.setDelta(Number delta)
DynamicRegressor	DynamicRegressor.setDenominator(Denominator denominator)
SeasonalFactor	SeasonalFactor.setDifference(Integer difference)
NonseasonalFactor	NonseasonalFactor.setDifference(Integer difference)
TimeAnchor	TimeAnchor.setDisplayName(String displayName)
TimeCycle	TimeCycle.setDisplayName(String displayName)
TimeSeries	TimeSeries.setEndTime(Number endTime)
TimeSeriesModel	TimeSeriesModel.setExponentialSmoothing(ExponentialSmoothing exponentialSmoothing)
TimeSeries	TimeSeries.setField(String field)
DynamicRegressor	DynamicRegressor.setField(String field)
ThetaRecursionState	ThetaRecursionState.setFinalNoise(FinalNoise finalNoise)
ThetaRecursionState	ThetaRecursionState.setFinalNu(FinalNu finalNu)
KalmanState	KalmanState.setFinalOmega(FinalOmega finalOmega)
ThetaRecursionState	ThetaRecursionState.setFinalPredictedNoise(FinalPredictedNoise finalPredictedNoise)
KalmanState	KalmanState.setFinalStateVector(FinalStateVector finalStateVector)
ThetaRecursionState	ThetaRecursionState.setFinalTheta(FinalTheta finalTheta)
DynamicRegressor	DynamicRegressor.setFutureValuesMethod(String futureValuesMethod)
TrendExpoSmooth	TrendExpoSmooth.setGamma(Number gamma)
TimeSeriesModel	TimeSeriesModel.setGARCH(GARCH garch)
GARCH	GARCH.setGARCHPart(GARCHPart garchPart)
GARCHPart	GARCHPart.setGp(Integer gp)
GARCHPart	GARCHPart.setGq(Integer gq)
KalmanState	KalmanState.setHVector(HVector hVector)
Theta	Theta.setI(Integer i)
TimeValue	TimeValue.setIndex(Integer index)
StateSpaceModel	StateSpaceModel.setIntercept(Number intercept)
StateSpaceModel	StateSpaceModel.setInterceptVector(InterceptVector interceptVector)
TimeSeries	TimeSeries.setInterpolationMethod(TimeSeries.InterpolationMethod interpolationMethod)
Theta	Theta.setJ(Integer j)
MaximumLikelihoodStat	MaximumLikelihoodStat.setKalmanState(KalmanState kalmanState)
TimeCycle	TimeCycle.setLength(Integer length)
ExponentialSmoothing	ExponentialSmoothing.setLevel(Level level)
TimeSeriesModel	TimeSeriesModel.setLocalTransformations(LocalTransformations localTransformations)
ARMAPart	ARMAPart.setMA(MA ma)
SeasonalComponent	SeasonalComponent.setMA(MA ma)
NonseasonalComponent	NonseasonalComponent.setMA(MA ma)
ResidualSquareCoefficients	ResidualSquareCoefficients.setMACoefficients(MACoefficients maCoefficients)
MA	MA.setMACoefficients(MACoefficients maCoefficients)
VarianceCoefficients	VarianceCoefficients.setMACoefficients(MACoefficients maCoefficients)
OutlierEffect	OutlierEffect.setMagnitude(Number magnitude)
TimeSeriesModel	TimeSeriesModel.setMathContext(MathContext mathContext)
TransitionMatrix	TransitionMatrix.setMatrix(Matrix matrix)
PredictedStateCovarianceMatrix	PredictedStateCovarianceMatrix.setMatrix(Matrix matrix)
FinalOmega	FinalOmega.setMatrix(Matrix matrix)
MeasurementMatrix	MeasurementMatrix.setMatrix(Matrix matrix)
SelectedStateCovarianceMatrix	SelectedStateCovarianceMatrix.setMatrix(Matrix matrix)
ObservationVarianceMatrix	ObservationVarianceMatrix.setMatrix(Matrix matrix)
ARIMA	ARIMA.setMaximumLikelihoodStat(MaximumLikelihoodStat maximumLikelihoodStat)
SeasonalFactor	SeasonalFactor.setMaximumOrder(Integer maximumOrder)
NonseasonalFactor	NonseasonalFactor.setMaximumOrder(Integer maximumOrder)
StateSpaceModel	StateSpaceModel.setMeasurementMatrix(MeasurementMatrix measurementMatrix)
MaximumLikelihoodStat	MaximumLikelihoodStat.setMethod(String method)
TimeSeriesModel	TimeSeriesModel.setMiningFunction(MiningFunction miningFunction)
TimeSeriesModel	TimeSeriesModel.setMiningSchema(MiningSchema miningSchema)
TimeSeriesModel	TimeSeriesModel.setModelExplanation(ModelExplanation modelExplanation)
TimeSeriesModel	TimeSeriesModel.setModelName(String modelName)
TimeSeriesModel	TimeSeriesModel.setModelStats(ModelStats modelStats)
TimeSeriesModel	TimeSeriesModel.setModelVerification(ModelVerification modelVerification)
ARIMA	ARIMA.setNonseasonalComponent(NonseasonalComponent nonseasonalComponent)
Denominator	Denominator.setNonseasonalFactor(NonseasonalFactor nonseasonalFactor)
Numerator	Numerator.setNonseasonalFactor(NonseasonalFactor nonseasonalFactor)
DynamicRegressor	DynamicRegressor.setNumerator(Numerator numerator)
StateSpaceModel	StateSpaceModel.setObservationVarianceMatrix(ObservationVarianceMatrix observationVarianceMatrix)
TimeAnchor	TimeAnchor.setOffset(Integer offset)
TimeSeriesModel	TimeSeriesModel.setOutput(Output output)
ARMAPart	ARMAPart.setP(Integer p)
SeasonalComponent	SeasonalComponent.setP(Integer p)
NonseasonalComponent	NonseasonalComponent.setP(Integer p)
VarianceCoefficients	VarianceCoefficients.setPastVariances(PastVariances pastVariances)
SeasonalityExpoSmooth	SeasonalityExpoSmooth.setPeriod(Integer period)
SeasonalComponent	SeasonalComponent.setPeriod(Integer period)
StateSpaceModel	StateSpaceModel.setPeriod(Object period)
MaximumLikelihoodStat	MaximumLikelihoodStat.setPeriodDeficit(Integer periodDeficit)
SeasonalityExpoSmooth	SeasonalityExpoSmooth.setPhase(Integer phase)
TrendExpoSmooth	TrendExpoSmooth.setPhi(Number phi)
StateSpaceModel	StateSpaceModel.setPredictedStateCovarianceMatrix(PredictedStateCovarianceMatrix predictedStateCovarianceMatrix)
ARIMA	ARIMA.setPredictionMethod(String predictionMethod)
StateSpaceModel	StateSpaceModel.setPsiVector(PsiVector psiVector)
ARMAPart	ARMAPart.setQ(Integer q)
SeasonalComponent	SeasonalComponent.setQ(Integer q)
NonseasonalComponent	NonseasonalComponent.setQ(Integer q)
Level	Level.setQuadraticSmoothedValue(Number quadraticSmoothedValue)
TrendCoefficients	TrendCoefficients.setREALSparseArray(RealSparseArray realSparseArray)
DynamicRegressor	DynamicRegressor.setRegressorValues(RegressorValues regressorValues)
ResidualSquareCoefficients	ResidualSquareCoefficients.setResiduals(Residuals residuals)
MA	MA.setResiduals(Residuals residuals)
GARCHPart	GARCHPart.setResidualSquareCoefficients(ResidualSquareCoefficients residualSquareCoefficients)
ARIMA	ARIMA.setRMSE(Number rmse)
ExponentialSmoothing	ExponentialSmoothing.setRMSE(Number rmse)
TimeSeriesModel	TimeSeriesModel.setScorable(Boolean scorable)
ARIMA	ARIMA.setSeasonalComponent(SeasonalComponent seasonalComponent)
Denominator	Denominator.setSeasonalFactor(SeasonalFactor seasonalFactor)
Numerator	Numerator.setSeasonalFactor(SeasonalFactor seasonalFactor)
ExponentialSmoothing	ExponentialSmoothing.setSeasonalityExpoSmooth(SeasonalityExpoSmooth seasonalityExpoSmooth)
TimeSeriesModel	TimeSeriesModel.setSeasonalTrendDecomposition(SeasonalTrendDecomposition seasonalTrendDecomposition)
StateSpaceModel	StateSpaceModel.setSelectedStateCovarianceMatrix(SelectedStateCovarianceMatrix selectedStateCovarianceMatrix)
Level	Level.setSmoothedValue(Number smoothedValue)
TrendExpoSmooth	TrendExpoSmooth.setSmoothedValue(Number smoothedValue)
TimeSeriesModel	TimeSeriesModel.setSpectralAnalysis(SpectralAnalysis spectralAnalysis)
TimeValue	TimeValue.setStandardError(Number standardError)
OutlierEffect	OutlierEffect.setStartTime(Number startTime)
TimeSeries	TimeSeries.setStartTime(Number startTime)
TimeSeriesModel	TimeSeriesModel.setStateSpaceModel(StateSpaceModel stateSpaceModel)
StateSpaceModel	StateSpaceModel.setStateVector(StateVector stateVector)
TimeAnchor	TimeAnchor.setStepsize(Integer stepsize)
PsiVector	PsiVector.setTargetField(String targetField)
DynamicRegressor	DynamicRegressor.setTargetField(String targetField)
Theta	Theta.setTheta(Number theta)
MaximumLikelihoodStat	MaximumLikelihoodStat.setThetaRecursionState(ThetaRecursionState thetaRecursionState)
TimeValue	TimeValue.setTime(Number time)
TimeSeries	TimeSeries.setTimeAnchor(TimeAnchor timeAnchor)
RegressorValues	RegressorValues.setTimeSeries(TimeSeries timeSeries)
TimeValue	TimeValue.setTimestamp(Timestamp timestamp)
RegressorValues	RegressorValues.setTransferFunctionValues(TransferFunctionValues transferFunctionValues)
ExponentialSmoothing	ExponentialSmoothing.setTransformation(ExponentialSmoothing.Transformation transformation)
ARIMA	ARIMA.setTransformation(String transformation)
DynamicRegressor	DynamicRegressor.setTransformation(String transformation)
StateSpaceModel	StateSpaceModel.setTransitionMatrix(TransitionMatrix transitionMatrix)
TrendExpoSmooth	TrendExpoSmooth.setTrend(TrendExpoSmooth.Trend trend)
RegressorValues	RegressorValues.setTrendCoefficients(TrendCoefficients trendCoefficients)
ExponentialSmoothing	ExponentialSmoothing.setTrendExpoSmooth(TrendExpoSmooth trendExpoSmooth)
SeasonalityExpoSmooth	SeasonalityExpoSmooth.setType(SeasonalityExpoSmooth.Type type)
OutlierEffect	OutlierEffect.setType(String type)
InterceptVector	InterceptVector.setType(String type)
TimeAnchor	TimeAnchor.setType(TimeAnchor.Type type)
TimeCycle	TimeCycle.setType(TimeCycle.Type type)
TimeException	TimeException.setType(TimeException.Type type)
SeasonalityExpoSmooth	SeasonalityExpoSmooth.setUnit(String unit)
TimeSeries	TimeSeries.setUsage(TimeSeries.Usage usage)
TimeValue	TimeValue.setValue(Number value)
StateSpaceModel	StateSpaceModel.setVariance(Number variance)
PsiVector	PsiVector.setVariance(String variance)
GARCHPart	GARCHPart.setVarianceCoefficients(VarianceCoefficients varianceCoefficients)

Constructor parameters in org.dmg.pmml.time_series with annotations of type Property

Constructor and Description
AR(Array array)
ARMAPart(Integer p, Integer q, AR ar, MA ma)
ARMAPart(Integer p, Integer q, AR ar, MA ma)
ARMAPart(Integer p, Integer q, AR ar, MA ma)
ARMAPart(Integer p, Integer q, AR ar, MA ma)
DynamicRegressor(String field)
ExponentialSmoothing(Level level)
FinalNoise(Array array)
FinalNu(Array array)
FinalOmega(Matrix matrix)
FinalPredictedNoise(Array array)
FinalStateVector(Array array)
FinalTheta(List<Theta> thetas)
GARCH(ARMAPart armaPart, GARCHPart garchPart)
GARCH(ARMAPart armaPart, GARCHPart garchPart)
GARCHPart(Integer gp, Integer gq, ResidualSquareCoefficients residualSquareCoefficients, VarianceCoefficients varianceCoefficients)
GARCHPart(Integer gp, Integer gq, ResidualSquareCoefficients residualSquareCoefficients, VarianceCoefficients varianceCoefficients)
GARCHPart(Integer gp, Integer gq, ResidualSquareCoefficients residualSquareCoefficients, VarianceCoefficients varianceCoefficients)
GARCHPart(Integer gp, Integer gq, ResidualSquareCoefficients residualSquareCoefficients, VarianceCoefficients varianceCoefficients)
HVector(Array array)
InterceptVector(Array array)
KalmanState(FinalOmega finalOmega, FinalStateVector finalStateVector)
KalmanState(FinalOmega finalOmega, FinalStateVector finalStateVector)
MACoefficients(Array array)
MaximumLikelihoodStat(String method, KalmanState kalmanState, ThetaRecursionState thetaRecursionState)
MaximumLikelihoodStat(String method, KalmanState kalmanState, ThetaRecursionState thetaRecursionState)
MaximumLikelihoodStat(String method, KalmanState kalmanState, ThetaRecursionState thetaRecursionState)
MeasurementMatrix(Matrix matrix)
NonseasonalFactor(Array array)
ObservationVarianceMatrix(Matrix matrix)
OutlierEffect(String type, Number startTime, Number magnitude)
OutlierEffect(String type, Number startTime, Number magnitude)
OutlierEffect(String type, Number startTime, Number magnitude)
PastVariances(Array array)
PredictedStateCovarianceMatrix(Matrix matrix)
PsiVector(Array array)
Residuals(Array array)
SeasonalComponent(Integer period)
SeasonalFactor(Array array)
SeasonalityExpoSmooth(SeasonalityExpoSmooth.Type type, Integer period, Array array)
SeasonalityExpoSmooth(SeasonalityExpoSmooth.Type type, Integer period, Array array)
SeasonalityExpoSmooth(SeasonalityExpoSmooth.Type type, Integer period, Array array)
SelectedStateCovarianceMatrix(Matrix matrix)
StateVector(Array array)
ThetaRecursionState(FinalNoise finalNoise, FinalPredictedNoise finalPredictedNoise, FinalTheta finalTheta, FinalNu finalNu)
ThetaRecursionState(FinalNoise finalNoise, FinalPredictedNoise finalPredictedNoise, FinalTheta finalTheta, FinalNu finalNu)
ThetaRecursionState(FinalNoise finalNoise, FinalPredictedNoise finalPredictedNoise, FinalTheta finalTheta, FinalNu finalNu)
ThetaRecursionState(FinalNoise finalNoise, FinalPredictedNoise finalPredictedNoise, FinalTheta finalTheta, FinalNu finalNu)
TimeCycle(Array array)
TimeException(Array array)
TimeSeries(List<TimeValue> timeValues)
TimeSeriesModel(MiningFunction miningFunction, TimeSeriesModel.Algorithm bestFit, MiningSchema miningSchema)
TimeSeriesModel(MiningFunction miningFunction, TimeSeriesModel.Algorithm bestFit, MiningSchema miningSchema)
TimeSeriesModel(MiningFunction miningFunction, TimeSeriesModel.Algorithm bestFit, MiningSchema miningSchema)
TimeValue(Number value)
TransferFunctionValues(Array array)
TransitionMatrix(Matrix matrix)
TrendExpoSmooth(Array array)

Uses of Property in org.dmg.pmml.tree

Method parameters in org.dmg.pmml.tree with annotations of type Property

Modifier and Type	Method and Description
DecisionTree	DecisionTree.setAlgorithmName(String algorithmName)
TreeModel	TreeModel.setAlgorithmName(String algorithmName)
ComplexNode	ComplexNode.setDefaultChild(Object defaultChild)
BranchNode	BranchNode.setDefaultChild(Object defaultChild)
ClassifierNode	ClassifierNode.setDefaultChild(Object defaultChild)
ComplexNode	ComplexNode.setEmbeddedModel(EmbeddedModel embeddedModel)
ComplexNode	ComplexNode.setId(Object id)
SimpleNode	LeafNode.setId(Object id)
SimpleNode	BranchNode.setId(Object id)
ClassifierNode	ClassifierNode.setId(Object id)
DecisionTree	DecisionTree.setLocalTransformations(LocalTransformations localTransformations)
TreeModel	TreeModel.setLocalTransformations(LocalTransformations localTransformations)
TreeModel	TreeModel.setMathContext(MathContext mathContext)
DecisionTree	DecisionTree.setMiningFunction(MiningFunction miningFunction)
TreeModel	TreeModel.setMiningFunction(MiningFunction miningFunction)
TreeModel	TreeModel.setMiningSchema(MiningSchema miningSchema)
DecisionTree	DecisionTree.setMissingValuePenalty(Number missingValuePenalty)
TreeModel	TreeModel.setMissingValuePenalty(Number missingValuePenalty)
DecisionTree	DecisionTree.setMissingValueStrategy(TreeModel.MissingValueStrategy missingValueStrategy)
TreeModel	TreeModel.setMissingValueStrategy(TreeModel.MissingValueStrategy missingValueStrategy)
TreeModel	TreeModel.setModelExplanation(ModelExplanation modelExplanation)
DecisionTree	DecisionTree.setModelName(String modelName)
TreeModel	TreeModel.setModelName(String modelName)
DecisionTree	DecisionTree.setModelStats(ModelStats modelStats)
TreeModel	TreeModel.setModelStats(ModelStats modelStats)
TreeModel	TreeModel.setModelVerification(ModelVerification modelVerification)
DecisionTree	DecisionTree.setNode(Node node)
TreeModel	TreeModel.setNode(Node node)
DecisionTree	DecisionTree.setNoTrueChildStrategy(TreeModel.NoTrueChildStrategy noTrueChildStrategy)
TreeModel	TreeModel.setNoTrueChildStrategy(TreeModel.NoTrueChildStrategy noTrueChildStrategy)
DecisionTree	DecisionTree.setOutput(Output output)
TreeModel	TreeModel.setOutput(Output output)
ComplexNode	ComplexNode.setPartition(Partition partition)
ComplexNode	ComplexNode.setPredicate(Predicate predicate)
SimpleNode	SimpleNode.setPredicate(Predicate predicate)
ComplexNode	ComplexNode.setRecordCount(Number recordCount)
CountingLeafNode	CountingLeafNode.setRecordCount(Number recordCount)
CountingBranchNode	CountingBranchNode.setRecordCount(Number recordCount)
ClassifierNode	ClassifierNode.setRecordCount(Number recordCount)
TreeModel	TreeModel.setScorable(Boolean scorable)
ComplexNode	ComplexNode.setScore(Object score)
SimpleNode	SimpleNode.setScore(Object score)
DecisionTree	DecisionTree.setSplitCharacteristic(TreeModel.SplitCharacteristic splitCharacteristic)
TreeModel	TreeModel.setSplitCharacteristic(TreeModel.SplitCharacteristic splitCharacteristic)
DecisionTree	DecisionTree.setTargets(Targets targets)
TreeModel	TreeModel.setTargets(Targets targets)

Constructor parameters in org.dmg.pmml.tree with annotations of type Property

Constructor and Description
BranchNode(Object score, Predicate predicate)
BranchNode(Object score, Predicate predicate)
ClassifierNode(Object score, Predicate predicate)
ClassifierNode(Object score, Predicate predicate)
ComplexNode(Object score, Predicate predicate)
ComplexNode(Object score, Predicate predicate)
CountingBranchNode(Object score, Predicate predicate)
CountingBranchNode(Object score, Predicate predicate)
CountingLeafNode(Object score, Predicate predicate)
CountingLeafNode(Object score, Predicate predicate)
DecisionTree(MiningFunction miningFunction, Node node)
DecisionTree(MiningFunction miningFunction, Node node)
LeafNode(Object score, Predicate predicate)
LeafNode(Object score, Predicate predicate)
SimpleNode(Object score, Predicate predicate)
SimpleNode(Object score, Predicate predicate)
TreeModel(MiningFunction miningFunction, MiningSchema miningSchema, Node node)
TreeModel(MiningFunction miningFunction, MiningSchema miningSchema, Node node)
TreeModel(MiningFunction miningFunction, MiningSchema miningSchema, Node node)

Uses of Property in org.jpmml.model.cells

Constructor parameters in org.jpmml.model.cells with annotations of type Property

Constructor and Description
InputCell(Object value)
OutputCell(Object value)