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

Packages that use ValueConstructor

Package	Description
org.dmg.pmml
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.inlinetable

Uses of ValueConstructor in org.dmg.pmml

Constructors in org.dmg.pmml with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.association

Constructors in org.dmg.pmml.association with annotations of type ValueConstructor

Constructor and Description
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)
Item(String id, String value)
ItemRef(String itemRef)
Itemset(String id)

Uses of ValueConstructor in org.dmg.pmml.baseline

Constructors in org.dmg.pmml.baseline with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.bayesian_network

Constructors in org.dmg.pmml.bayesian_network with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.clustering

Constructors in org.dmg.pmml.clustering with annotations of type ValueConstructor

Constructor and Description
CenterFields(List<DerivedField> derivedFields)
Cluster(Array array)
ClusteringField(FieldName field)
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 ValueConstructor in org.dmg.pmml.gaussian_process

Constructors in org.dmg.pmml.gaussian_process with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.general_regression

Constructors in org.dmg.pmml.general_regression with annotations of type ValueConstructor

Constructor and Description
BaseCumHazardTables(List<BaselineStratum> baselineStrata, List<BaselineCell> baselineCells)
BaselineCell(Number time, Number cumHazard)
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)
Parameter(String name)
PCell(String parameterName, Number beta)
PCovCell(String pRow, String pCol, Number value)
PCovMatrix(List<PCovCell> pCovCells)
PPCell(Object value, FieldName field, String parameterName)
Predictor(FieldName field)

Uses of ValueConstructor in org.dmg.pmml.mining

Constructors in org.dmg.pmml.mining with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.naive_bayes

Constructors in org.dmg.pmml.naive_bayes with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.nearest_neighbor

Constructors in org.dmg.pmml.nearest_neighbor with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.neural_network

Constructors in org.dmg.pmml.neural_network with annotations of type ValueConstructor

Constructor and Description
Connection(String from, Number weight)
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)
NeuralOutput(String outputNeuron, DerivedField derivedField)
NeuralOutputs(List<NeuralOutput> neuralOutputs)
Neuron(String id, List<Connection> connections)

Uses of ValueConstructor in org.dmg.pmml.regression

Constructors in org.dmg.pmml.regression with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.rule_set

Constructors in org.dmg.pmml.rule_set with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.scorecard

Constructors in org.dmg.pmml.scorecard with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.dmg.pmml.sequence

Constructors in org.dmg.pmml.sequence with annotations of type ValueConstructor

Constructor and Description
AntecedentSequence(SequenceReference sequenceReference)
ConsequentSequence(SequenceReference sequenceReference)
Delimiter(Delimiter.TimeWindow delimiter, Delimiter.Gap gap)
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)
SequenceReference(String seqId)
SequenceRule(String id, Integer numberOfSets, Integer occurrence, Number support, Number confidence)
SetPredicate(String id, FieldName field, Array array)
SetReference(String setId)

Uses of ValueConstructor in org.dmg.pmml.support_vector_machine

Constructors in org.dmg.pmml.support_vector_machine with annotations of type ValueConstructor

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)
SupportVectors(List<SupportVector> supportVectors)
VectorDictionary(VectorFields vectorFields)
VectorFields(List<PMMLObject> content)
VectorInstance(String id, RealSparseArray realSparseArray, Array array)

Uses of ValueConstructor in org.dmg.pmml.text

Constructors in org.dmg.pmml.text with annotations of type ValueConstructor

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)

Uses of ValueConstructor in org.dmg.pmml.time_series

Constructors in org.dmg.pmml.time_series with annotations of type ValueConstructor

Constructor and Description
ExponentialSmoothing(Level level)
SeasonalityExpoSmooth(SeasonalityExpoSmooth.Type type, Integer period, Array array)
TimeCycle(Array array)
TimeException(Array array)
TimeSeriesModel(MiningFunction miningFunction, TimeSeriesModel.Algorithm bestFit, MiningSchema miningSchema)
TimeValue(Number value)
TrendExpoSmooth(Array array)

Uses of ValueConstructor in org.dmg.pmml.tree

Constructors in org.dmg.pmml.tree with annotations of type ValueConstructor

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

Uses of ValueConstructor in org.jpmml.model.inlinetable

Constructors in org.jpmml.model.inlinetable with annotations of type ValueConstructor

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