Hierarchy For All Packages
Package Hierarchies:- org.dmg.pmml,
- org.dmg.pmml.adapters,
- 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,
- org.jpmml.model.annotations,
- org.jpmml.model.cells,
- org.jpmml.model.collections,
- org.jpmml.model.filters,
- org.jpmml.model.temporals,
- org.jpmml.model.visitors
Class Hierarchy
- java.lang.Object
- java.util.AbstractCollection<E> (implements java.util.Collection<E>)
- org.jpmml.model.collections.AbstractFixedSizeList<E> (implements java.util.List<E>)
- org.jpmml.model.collections.DoubletonList<E> (implements java.util.RandomAccess, java.io.Serializable)
- org.jpmml.model.collections.SingletonList<E> (implements java.util.RandomAccess, java.io.Serializable)
- org.jpmml.model.collections.TripletonList<E> (implements java.util.RandomAccess, java.io.Serializable)
- java.util.AbstractList<E> (implements java.util.List<E>)
- java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
- org.dmg.pmml.ComplexArray.ListValue (implements org.dmg.pmml.ComplexValue)
- org.jpmml.model.visitors.VisitorBattery
- java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
- java.util.AbstractSet<E> (implements java.util.Set<E>)
- java.util.HashSet<E> (implements java.lang.Cloneable, java.io.Serializable, java.util.Set<E>)
- java.util.LinkedHashSet<E> (implements java.lang.Cloneable, java.io.Serializable, java.util.Set<E>)
- org.dmg.pmml.ComplexArray.SetValue (implements org.dmg.pmml.ComplexValue)
- java.util.LinkedHashSet<E> (implements java.lang.Cloneable, java.io.Serializable, java.util.Set<E>)
- java.util.HashSet<E> (implements java.lang.Cloneable, java.io.Serializable, java.util.Set<E>)
- org.jpmml.model.collections.AbstractFixedSizeList<E> (implements java.util.List<E>)
- java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)
- java.util.concurrent.ConcurrentHashMap<K,V> (implements java.util.concurrent.ConcurrentMap<K,V>, java.io.Serializable)
- org.jpmml.model.PMMLObjectCache<E>
- java.util.concurrent.ConcurrentHashMap<K,V> (implements java.util.concurrent.ConcurrentMap<K,V>, java.io.Serializable)
- org.jpmml.model.visitors.AbstractVisitor (implements org.dmg.pmml.Visitor)
- org.jpmml.model.visitors.ActiveFieldFinder (implements org.jpmml.model.visitors.Resettable)
- org.jpmml.model.visitors.ArrayListTransformer
- org.jpmml.model.visitors.ArrayListTrimmer
- org.jpmml.model.visitors.ExpressionFilterer
- org.jpmml.model.visitors.FieldNameFilterer
- org.jpmml.model.visitors.FieldRenamer
- org.jpmml.model.visitors.FieldResolver (implements org.jpmml.model.visitors.Resettable)
- org.jpmml.model.visitors.Interner<V>
- org.jpmml.model.visitors.AttributeInterner<V>
- org.jpmml.model.visitors.NumberInterner<V>
- org.jpmml.model.visitors.DoubleInterner
- org.jpmml.model.visitors.FloatInterner
- org.jpmml.model.visitors.IntegerInterner
- org.jpmml.model.visitors.StringInterner
- org.jpmml.model.visitors.NumberInterner<V>
- org.jpmml.model.visitors.ElementInterner<V>
- org.jpmml.model.visitors.PMMLObjectInterner<E>
- org.jpmml.model.visitors.MiningFieldInterner
- org.jpmml.model.visitors.PredicateInterner
- org.jpmml.model.visitors.ScoreDistributionInterner
- org.jpmml.model.visitors.PMMLObjectInterner<E>
- org.jpmml.model.visitors.AttributeInterner<V>
- org.jpmml.model.visitors.LocatorNullifier
- org.jpmml.model.visitors.LocatorTransformer
- org.jpmml.model.visitors.MarkupInspector<E>
- org.jpmml.model.visitors.InvalidMarkupInspector
- org.jpmml.model.visitors.MissingMarkupInspector
- org.jpmml.model.visitors.MemoryMeasurer (implements org.jpmml.model.visitors.Resettable)
- org.jpmml.model.visitors.NodeFilterer
- org.jpmml.model.visitors.PredicateFilterer
- org.jpmml.model.visitors.RowCleaner
- org.jpmml.model.visitors.TreePathFinder (implements org.jpmml.model.visitors.Resettable)
- org.jpmml.model.visitors.VersionInspector
- org.jpmml.model.visitors.VersionChecker (implements org.jpmml.model.visitors.Resettable)
- org.jpmml.model.visitors.VersionDowngrader
- org.jpmml.model.visitors.VersionRangeFinder (implements org.jpmml.model.visitors.Resettable)
- org.jpmml.model.visitors.ExtendedVersionRangeFinder
- org.jpmml.model.visitors.VersionStandardizer
- org.jpmml.model.ArrayUtil
- org.jpmml.model.temporals.DateTimeUtil
- org.jpmml.model.EnumUtil
- org.jpmml.model.temporals.Instant<I> (implements java.lang.Comparable<T>, org.dmg.pmml.ComplexValue, java.io.Serializable)
- org.jpmml.model.JavaSerializer (implements org.jpmml.model.Serializer)
- org.jpmml.model.JAXBSerializer (implements org.jpmml.model.TextSerializer)
- org.jpmml.model.JAXBUtil
- java.lang.Number (implements java.io.Serializable)
- org.jpmml.model.temporals.Period<P> (implements java.lang.Comparable<T>, org.dmg.pmml.ComplexValue)
- org.jpmml.model.temporals.ComplexPeriod<P>
- org.jpmml.model.temporals.DaysSinceDate
- org.jpmml.model.temporals.SecondsSinceDate
- org.jpmml.model.temporals.SimplePeriod<P>
- org.jpmml.model.temporals.SecondsSinceMidnight
- org.jpmml.model.temporals.ComplexPeriod<P>
- org.jpmml.model.temporals.Period<P> (implements java.lang.Comparable<T>, org.dmg.pmml.ComplexValue)
- org.dmg.pmml.adapters.NumberUtil
- org.dmg.pmml.anomaly_detection.ObjectFactory
- org.dmg.pmml.association.ObjectFactory
- org.dmg.pmml.baseline.ObjectFactory
- org.dmg.pmml.bayesian_network.ObjectFactory
- org.dmg.pmml.clustering.ObjectFactory
- org.dmg.pmml.gaussian_process.ObjectFactory
- org.dmg.pmml.general_regression.ObjectFactory
- org.dmg.pmml.mining.ObjectFactory
- org.dmg.pmml.naive_bayes.ObjectFactory
- org.dmg.pmml.nearest_neighbor.ObjectFactory
- org.dmg.pmml.neural_network.ObjectFactory
- org.dmg.pmml.ObjectFactory
- org.dmg.pmml.regression.ObjectFactory
- org.dmg.pmml.rule_set.ObjectFactory
- org.dmg.pmml.scorecard.ObjectFactory
- org.dmg.pmml.sequence.ObjectFactory
- org.dmg.pmml.support_vector_machine.ObjectFactory
- org.dmg.pmml.text.ObjectFactory
- org.dmg.pmml.time_series.ObjectFactory
- org.dmg.pmml.tree.ObjectFactory
- org.jpmml.model.cells.ObjectFactory
- org.dmg.pmml.adapters.ObjectUtil
- java.io.OutputStream (implements java.io.Closeable, java.io.Flushable)
- java.io.ByteArrayOutputStream
- org.jpmml.model.DirectByteArrayOutputStream
- java.io.FilterOutputStream
- org.jpmml.model.PMMLOutputStream
- java.io.ByteArrayOutputStream
- org.dmg.pmml.PMMLObject (implements org.dmg.pmml.HasLocator, java.io.Serializable, org.dmg.pmml.Visitable)
- org.dmg.pmml.gaussian_process.AbsoluteExponentialKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.Algorithm
- org.dmg.pmml.time_series.ARIMA (implements org.dmg.pmml.time_series.HasDynamicRegressors<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.ExponentialSmoothing
- org.dmg.pmml.time_series.GARCH (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.SeasonalTrendDecomposition (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.SpectralAnalysis (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.StateSpaceModel (implements org.dmg.pmml.time_series.HasDynamicRegressors<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.baseline.Alternate
- org.dmg.pmml.Annotation (implements org.dmg.pmml.HasMixedContent<E>)
- org.dmg.pmml.Anova (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.AnovaRow (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.sequence.AntecedentSequence (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Application (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.AR (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.gaussian_process.ARDSquaredExponentialKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.ARMAPart (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.time_series.HasRequiredARMA<E>)
- org.dmg.pmml.Array
- org.dmg.pmml.ComplexArray
- org.dmg.pmml.scorecard.Attribute (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasPredicate<E>, org.dmg.pmml.scorecard.HasReasonCode<E>)
- org.dmg.pmml.general_regression.BaseCumHazardTables (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.baseline.Baseline
- org.dmg.pmml.general_regression.BaselineCell (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.BaselineStratum (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.bayesian_network.BayesianNetworkNodes (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.naive_bayes.BayesInput (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.naive_bayes.BayesInputs (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.naive_bayes.BayesOutput (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasTargetFieldReference<E>)
- org.dmg.pmml.BlockIndicator (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.BoundaryValueMeans (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.BoundaryValues (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.general_regression.Categories (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.general_regression.Category (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.Cell
- org.jpmml.model.cells.InputCell
- org.jpmml.model.cells.OutputCell
- org.dmg.pmml.clustering.CenterFields
- org.dmg.pmml.scorecard.Characteristic (implements org.dmg.pmml.scorecard.HasBaselineScore<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasName<E>, org.dmg.pmml.scorecard.HasReasonCode<E>)
- org.dmg.pmml.scorecard.Characteristics (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.ChildParent (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasTable<E>)
- org.dmg.pmml.ClassLabels (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.support_vector_machine.Coefficient (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.Coefficients (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.ComparisonField<E> (implements org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.clustering.ClusteringField (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.nearest_neighbor.KNNInput (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ComparisonMeasure (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.clustering.Comparisons (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.scorecard.ComplexPartialScore (implements org.dmg.pmml.HasExpression<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ConfusionMatrix (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.neural_network.Connection (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.sequence.ConsequentSequence (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.sequence.Constraints (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.ContinuousConditionalProbability (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.ContinuousDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.ContinuousNode (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ContStats (implements org.dmg.pmml.HasArrays<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.CorrelationFields (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.CorrelationMethods (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.Correlations (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.CorrelationValues (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.Counts (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.clustering.Covariances (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.DataDictionary (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Decision (implements org.dmg.pmml.HasDisplayValue<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Decisions (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.DefineFunction (implements org.dmg.pmml.HasExpression<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredName<E>, org.dmg.pmml.HasRequiredType<E>)
- org.dmg.pmml.sequence.Delimiter (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.Denominator (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.DiscreteConditionalProbability (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.DiscreteNode (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.DiscretizeBin (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.DiscrStats (implements org.dmg.pmml.HasArrays<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Distribution
- org.dmg.pmml.ContinuousDistribution
- org.dmg.pmml.AnyDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.GaussianDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.PoissonDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.UniformDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.DiscreteDistribution
- org.dmg.pmml.baseline.CountTable (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ContinuousDistribution
- org.dmg.pmml.text.DocumentTermMatrix (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.DynamicRegressor (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasTargetFieldReference<E>)
- org.dmg.pmml.EmbeddedModel
- org.dmg.pmml.tree.DecisionTree (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.tree.HasNode<E>)
- org.dmg.pmml.regression.Regression (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.regression.HasRegressionTables<E>)
- org.dmg.pmml.Entity<V> (implements org.dmg.pmml.HasId<E,V>)
- org.dmg.pmml.association.AssociationRule (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.clustering.Cluster (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasName<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.neural_network.NeuralEntity
- org.dmg.pmml.neural_network.NeuralInput (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.neural_network.Neuron (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.tree.Node (implements org.dmg.pmml.HasPredicate<E>, org.dmg.pmml.HasRecordCount<E>, org.dmg.pmml.HasScoreDistributions<E>)
- org.dmg.pmml.tree.ComplexNode (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.tree.SimpleNode
- org.dmg.pmml.tree.BranchNode
- org.dmg.pmml.tree.CountingBranchNode
- org.dmg.pmml.tree.ClassifierNode
- org.dmg.pmml.tree.LeafNode
- org.dmg.pmml.tree.CountingLeafNode
- org.dmg.pmml.tree.BranchNode
- org.dmg.pmml.rule_set.Rule (implements org.dmg.pmml.HasPredicate<E>)
- org.dmg.pmml.rule_set.CompoundRule (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.rule_set.SimpleRule (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRecordCount<E>, org.dmg.pmml.HasScoreDistributions<E>)
- org.dmg.pmml.mining.Segment (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasModel<E>, org.dmg.pmml.HasPredicate<E>)
- org.dmg.pmml.sequence.SequenceRule
- org.dmg.pmml.general_regression.EventValues (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Expression
- org.dmg.pmml.Aggregate (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.Apply (implements org.dmg.pmml.HasDefaultValue<E,V>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasMapMissingTo<E,V>)
- org.dmg.pmml.Constant (implements org.dmg.pmml.HasDataType<E>)
- org.dmg.pmml.Discretize (implements org.dmg.pmml.HasDataType<E>, org.dmg.pmml.HasDefaultValue<E,V>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasMapMissingTo<E,V>)
- org.dmg.pmml.FieldRef (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasMapMissingTo<E,V>)
- org.dmg.pmml.Lag (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.MapValues (implements org.dmg.pmml.HasDataType<E>, org.dmg.pmml.HasDefaultValue<E,V>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasMapMissingTo<E,V>, org.dmg.pmml.HasTable<E>)
- org.dmg.pmml.NormContinuous (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasMapMissingTo<E,V>)
- org.dmg.pmml.NormDiscrete (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasMapMissingTo<E,V>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.TextIndex (implements org.dmg.pmml.HasExpression<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.Extension (implements org.dmg.pmml.HasMixedContent<E>)
- org.dmg.pmml.Field<E> (implements org.dmg.pmml.HasDisplayName<E>, org.dmg.pmml.HasRequiredName<E>, org.dmg.pmml.HasRequiredType<E>)
- org.dmg.pmml.DataField (implements org.dmg.pmml.Decorable, org.dmg.pmml.HasContinuousDomain<E>, org.dmg.pmml.HasDiscreteDomain<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.DerivedField (implements org.dmg.pmml.HasContinuousDomain<E>, org.dmg.pmml.HasDiscreteDomain<E>, org.dmg.pmml.HasExpression<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.OutputField (implements org.dmg.pmml.HasDiscreteDomain<E>, org.dmg.pmml.HasExpression<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasTargetFieldReference<E>)
- org.dmg.pmml.ParameterField
- org.dmg.pmml.ResultField (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.FieldColumnPair (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.baseline.FieldValue (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.baseline.FieldValueCount (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.time_series.FinalNoise (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.FinalNu (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.FinalOmega (implements org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.time_series.FinalPredictedNoise (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.FinalStateVector (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.FinalTheta
- org.dmg.pmml.time_series.GARCHPart (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.gaussian_process.GeneralizedExponentialKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Header (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.HVector (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.InlineTable (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.nearest_neighbor.InstanceField (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.nearest_neighbor.InstanceFields (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.time_series.InterceptVector (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.Interval (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.association.Item (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasRequiredId<E>)
- org.dmg.pmml.association.ItemRef (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.association.Itemset (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredId<E>)
- org.dmg.pmml.time_series.KalmanState
- org.dmg.pmml.support_vector_machine.Kernel
- org.dmg.pmml.support_vector_machine.LinearKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.PolynomialKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.RadialBasisKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.SigmoidKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.nearest_neighbor.KNNInputs (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.clustering.KohonenMap (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.gaussian_process.Lambda (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.Level
- org.dmg.pmml.LiftData (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.LiftGraph (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.LinearNorm (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.LocalTransformations (implements org.dmg.pmml.HasDerivedFields<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.LognormalDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.Lower (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.MA (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.MACoefficients (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.MatCell
- org.dmg.pmml.Matrix (implements org.dmg.pmml.HasArrays<E>)
- org.dmg.pmml.time_series.MaximumLikelihoodStat
- org.dmg.pmml.bayesian_network.Mean (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.anomaly_detection.MeanClusterDistances (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Measure
- org.dmg.pmml.Distance
- org.dmg.pmml.Chebychev (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.CityBlock (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Euclidean (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Minkowski (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.SquaredEuclidean (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Similarity
- org.dmg.pmml.BinarySimilarity (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Jaccard (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.SimpleMatching (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Tanimoto (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Distance
- org.dmg.pmml.time_series.MeasurementMatrix (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.MiningBuildTask (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.MiningField (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasOpType<E>, org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.MiningSchema (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.clustering.MissingValueWeights (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.Model
- org.dmg.pmml.anomaly_detection.AnomalyDetectionModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.association.AssociationModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.baseline.BaselineModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.BayesianNetworkModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.clustering.ClusteringModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ForwardingModel
- org.dmg.pmml.gaussian_process.GaussianProcessModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.GeneralRegressionModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.mining.MiningModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.naive_bayes.NaiveBayesModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.nearest_neighbor.NearestNeighborModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.neural_network.NeuralNetwork (implements org.dmg.pmml.neural_network.HasActivationFunction<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.neural_network.HasNormalizationMethod<E>)
- org.dmg.pmml.regression.RegressionModel (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.regression.HasRegressionTables<E>, org.dmg.pmml.HasTargetFieldReference<E>)
- org.dmg.pmml.rule_set.RuleSetModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.scorecard.Scorecard (implements org.dmg.pmml.scorecard.HasBaselineScore<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.sequence.SequenceModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.SupportVectorMachineModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.text.TextModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.TimeSeriesModel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.tree.TreeModel (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.tree.HasNode<E>)
- org.dmg.pmml.ModelExplanation (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ModelLiftGraph (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ModelQuality
- org.dmg.pmml.ClusteringModelQuality (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.PredictiveModelQuality (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasTargetFieldReference<E>)
- org.dmg.pmml.ModelStats (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ModelVerification (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.MultivariateStat (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasName<E>)
- org.dmg.pmml.neural_network.NeuralInputs (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.neural_network.NeuralLayer (implements org.dmg.pmml.neural_network.HasActivationFunction<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.neural_network.HasNormalizationMethod<E>)
- org.dmg.pmml.neural_network.NeuralOutput (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.neural_network.NeuralOutputs (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.time_series.NonseasonalComponent (implements org.dmg.pmml.time_series.HasARIMA<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.NonseasonalFactor (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.bayesian_network.NormalDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.Numerator (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.NumericInfo (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.ObservationVarianceMatrix (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.OptimumLiftGraph (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.OutlierEffect (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Output (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.naive_bayes.PairCounts (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.general_regression.Parameter (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredName<E>)
- org.dmg.pmml.general_regression.ParameterCell
- org.dmg.pmml.general_regression.PCell (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.PPCell (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.general_regression.ParameterList (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.ParamMatrix (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.ParentValue (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Partition (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredName<E>)
- org.dmg.pmml.PartitionFieldStats (implements org.dmg.pmml.HasArrays<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.time_series.PastVariances (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.general_regression.PCovCell (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.PCovMatrix (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.PMML (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.PPMatrix (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Predicate
- org.dmg.pmml.CompoundPredicate (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.False (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.SimplePredicate (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.SimpleSetPredicate (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasRequiredArray<E>, org.dmg.pmml.HasValueSet<E>)
- org.dmg.pmml.True (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.PredictedStateCovarianceMatrix (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.general_regression.Predictor (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasMatrix<E>)
- org.dmg.pmml.general_regression.PredictorList
- org.dmg.pmml.general_regression.CovariateList (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.FactorList (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.PsiVector (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.Quantile (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.gaussian_process.RadialBasisKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.RandomLiftGraph (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.regression.RegressionTable (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.RegressorValues (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.Residuals (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.ResidualSquareCoefficients (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ROC (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ROCGraph (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Row (implements org.dmg.pmml.HasMixedContent<E>)
- org.dmg.pmml.rule_set.RuleSelectionMethod (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.rule_set.RuleSet (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRecordCount<E>)
- org.dmg.pmml.ScoreDistribution (implements org.dmg.pmml.HasRecordCount<E>)
- org.dmg.pmml.ComplexScoreDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.SimpleScoreDistribution
- org.dmg.pmml.ScoreFrequency
- org.dmg.pmml.ScoreProbability
- org.dmg.pmml.time_series.SeasonalComponent (implements org.dmg.pmml.time_series.HasARIMA<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.SeasonalFactor (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.SeasonalityExpoSmooth (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.mining.Segmentation (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.SelectedStateCovarianceMatrix (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.sequence.Sequence (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredId<E>)
- org.dmg.pmml.sequence.SequenceReference (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.sequence.SetPredicate (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasRequiredId<E>, org.dmg.pmml.HasValueSet<E>)
- org.dmg.pmml.sequence.SetReference (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.SparseArray<E>
- org.dmg.pmml.IntSparseArray
- org.dmg.pmml.RealSparseArray
- org.dmg.pmml.time_series.StateVector (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.Stats
- org.dmg.pmml.MultivariateStats (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.UnivariateStats (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.support_vector_machine.SupportVector (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.SupportVectorMachine (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.SupportVectors (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.TableLocator (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Target (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasOpType<E>, org.dmg.pmml.HasTargetFieldReference<E>, org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.Targets (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.TargetValue (implements org.dmg.pmml.HasDisplayValue<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.naive_bayes.TargetValueCount (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.naive_bayes.TargetValueCounts (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.naive_bayes.TargetValueStat (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.naive_bayes.TargetValueStats (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.Taxonomy (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredName<E>)
- org.dmg.pmml.regression.Term
- org.dmg.pmml.regression.CategoricalPredictor (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.regression.NumericPredictor (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.regression.PredictorTerm (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasName<E>)
- org.dmg.pmml.baseline.TestDistributions (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.text.TextCorpus (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.text.TextDictionary (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.text.TextDocument (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredId<E>)
- org.dmg.pmml.TextIndexNormalization (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasTable<E>)
- org.dmg.pmml.text.TextModelNormalization (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.text.TextModelSimiliarity (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.Theta
- org.dmg.pmml.time_series.ThetaRecursionState
- org.dmg.pmml.sequence.Time (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.TimeAnchor (implements org.dmg.pmml.HasDisplayName<E>)
- org.dmg.pmml.time_series.TimeCycle (implements org.dmg.pmml.HasDisplayName<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.TimeException (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.time_series.TimeSeries (implements org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.Timestamp (implements org.dmg.pmml.HasMixedContent<E>)
- org.dmg.pmml.time_series.TimeValue
- org.dmg.pmml.nearest_neighbor.TrainingInstances (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasTable<E>)
- org.dmg.pmml.time_series.TransferFunctionValues (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.TransformationDictionary (implements org.dmg.pmml.HasDerivedFields<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.TransitionMatrix (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredMatrix<E>)
- org.dmg.pmml.time_series.TrendCoefficients (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.TrendExpoSmooth (implements org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.bayesian_network.TriangularDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.UniformDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.bayesian_network.Upper (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Value (implements org.dmg.pmml.HasDisplayValue<E>, org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasValue<E>)
- org.dmg.pmml.bayesian_network.ValueProbability (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.mining.VariableWeight (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.bayesian_network.Variance (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.VarianceCoefficients (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.VectorDictionary (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.VectorFields (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.support_vector_machine.VectorInstance (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>, org.dmg.pmml.HasRequiredId<E>)
- org.dmg.pmml.VerificationField (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>, org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.VerificationFields (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- org.dmg.pmml.XCoordinates (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.dmg.pmml.YCoordinates (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasRequiredArray<E>)
- org.jpmml.model.PMMLObjectKey
- org.jpmml.model.PMMLUtil
- org.jpmml.model.ReflectionUtil
- org.jpmml.model.SAXUtil
- org.jpmml.model.SerializationUtil
- org.jpmml.model.ServiceLoaderUtil
- org.dmg.pmml.tree.SimplifyingNodeTransformer (implements org.dmg.pmml.tree.NodeTransformer)
- org.dmg.pmml.SimplifyingScoreDistributionTransformer (implements org.dmg.pmml.ScoreDistributionTransformer)
- org.jpmml.model.StringUtil
- org.jpmml.model.TermUtil
- java.lang.Throwable (implements java.io.Serializable)
- java.lang.Exception
- java.lang.RuntimeException
- org.jpmml.model.PMMLException
- org.jpmml.model.MarkupException
- org.jpmml.model.InvalidMarkupException
- org.jpmml.model.InvalidAttributeException
- org.jpmml.model.MisplacedAttributeException
- org.jpmml.model.InvalidElementException
- org.jpmml.model.MisplacedElementException
- org.jpmml.model.InvalidElementListException
- org.jpmml.model.MisplacedElementListException
- org.jpmml.model.InvalidAttributeException
- org.jpmml.model.MissingMarkupException
- org.jpmml.model.MissingAttributeException
- org.jpmml.model.MissingElementException
- org.jpmml.model.UnsupportedMarkupException
- org.jpmml.model.UnsupportedAttributeException
- org.jpmml.model.UnsupportedElementException
- org.jpmml.model.UnsupportedElementListException
- org.jpmml.model.InvalidMarkupException
- org.jpmml.model.MarkupException
- org.jpmml.model.PMMLException
- java.lang.RuntimeException
- java.lang.Exception
- org.jpmml.model.ToStringHelper
- org.dmg.pmml.VersionUtil
- jakarta.xml.bind.annotation.adapters.XmlAdapter<ValueType,BoundType>
- org.dmg.pmml.adapters.FieldNameAdapter
- org.dmg.pmml.adapters.IntegerAdapter
- org.dmg.pmml.adapters.NonNegativeIntegerAdapter
- org.dmg.pmml.adapters.PositiveIntegerAdapter
- org.dmg.pmml.adapters.NodeAdapter
- org.dmg.pmml.adapters.NumberAdapter
- org.dmg.pmml.adapters.PercentageNumberAdapter
- org.dmg.pmml.adapters.ProbabilityNumberAdapter
- org.dmg.pmml.adapters.ObjectAdapter
- org.dmg.pmml.adapters.RealNumberAdapter
- org.dmg.pmml.adapters.ScoreDistributionAdapter
- org.xml.sax.helpers.XMLFilterImpl (implements org.xml.sax.ContentHandler, org.xml.sax.DTDHandler, org.xml.sax.EntityResolver, org.xml.sax.ErrorHandler, org.xml.sax.XMLFilter)
- org.jpmml.model.filters.ElementFilter
- org.jpmml.model.filters.CountFilter
- org.jpmml.model.filters.DepthFilter
- org.jpmml.model.filters.SkipFilter
- org.jpmml.model.filters.ExtensionFilter
- org.jpmml.model.filters.NamespaceFilter
- org.jpmml.model.filters.Issue274Filter
- org.jpmml.model.filters.PMMLFilter
- org.jpmml.model.filters.ExportFilter
- org.jpmml.model.filters.ImportFilter
- org.jpmml.model.filters.ElementFilter
- org.jpmml.model.XPathUtil
- java.util.AbstractCollection<E> (implements java.util.Collection<E>)
Interface Hierarchy
- org.dmg.pmml.ComplexValue
- org.dmg.pmml.Decorable
- org.jpmml.model.temporals.Epochs
- org.dmg.pmml.neural_network.HasActivationFunction<E>
- org.jpmml.model.visitors.HasActiveFields
- org.dmg.pmml.time_series.HasAR<E>
- org.dmg.pmml.time_series.HasARMA<E>
- org.dmg.pmml.time_series.HasARIMA<E>
- org.dmg.pmml.time_series.HasRequiredAR<E>
- org.dmg.pmml.time_series.HasRequiredARMA<E> (also extends org.dmg.pmml.time_series.HasRequiredMA<E>)
- org.dmg.pmml.time_series.HasARMA<E>
- org.dmg.pmml.HasArray<E>
- org.dmg.pmml.HasRequiredArray<E>
- org.dmg.pmml.HasArrays<E>
- org.dmg.pmml.scorecard.HasBaselineScore<E>
- org.dmg.pmml.HasContinuousDomain<E>
- org.dmg.pmml.HasDataType<E>
- org.dmg.pmml.HasRequiredDataType<E>
- org.dmg.pmml.HasRequiredType<E> (also extends org.dmg.pmml.HasRequiredOpType<E>, org.dmg.pmml.HasType<E>)
- org.dmg.pmml.HasType<E> (also extends org.dmg.pmml.HasOpType<E>)
- org.dmg.pmml.HasRequiredType<E> (also extends org.dmg.pmml.HasRequiredDataType<E>, org.dmg.pmml.HasRequiredOpType<E>)
- org.dmg.pmml.HasRequiredDataType<E>
- org.dmg.pmml.HasDefaultValue<E,V>
- org.dmg.pmml.HasDerivedFields<E>
- org.dmg.pmml.HasDiscreteDomain<E>
- org.dmg.pmml.HasDisplayName<E>
- org.dmg.pmml.HasDisplayValue<E>
- org.dmg.pmml.time_series.HasDynamicRegressors<E>
- org.dmg.pmml.HasExpression<E>
- org.dmg.pmml.HasExtensions<E>
- org.dmg.pmml.HasFieldReference<E>
- org.dmg.pmml.HasId<E,V>
- org.dmg.pmml.HasRequiredId<E> (also extends org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.HasLocator
- org.dmg.pmml.time_series.HasMA<E>
- org.dmg.pmml.time_series.HasARMA<E> (also extends org.dmg.pmml.time_series.HasAR<E>)
- org.dmg.pmml.time_series.HasARIMA<E>
- org.dmg.pmml.time_series.HasRequiredMA<E>
- org.dmg.pmml.time_series.HasRequiredARMA<E> (also extends org.dmg.pmml.time_series.HasRequiredAR<E>)
- org.dmg.pmml.time_series.HasARMA<E> (also extends org.dmg.pmml.time_series.HasAR<E>)
- org.dmg.pmml.HasMapMissingTo<E,V>
- org.dmg.pmml.HasMatrix<E>
- org.dmg.pmml.HasRequiredMatrix<E>
- org.dmg.pmml.HasMixedContent<E>
- org.dmg.pmml.HasModel<E>
- org.dmg.pmml.HasName<E>
- org.dmg.pmml.HasRequiredName<E> (also extends org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.tree.HasNode<E>
- org.dmg.pmml.neural_network.HasNormalizationMethod<E>
- org.dmg.pmml.HasOpType<E>
- org.dmg.pmml.HasRequiredOpType<E>
- org.dmg.pmml.HasRequiredType<E> (also extends org.dmg.pmml.HasRequiredDataType<E>, org.dmg.pmml.HasType<E>)
- org.dmg.pmml.HasType<E> (also extends org.dmg.pmml.HasDataType<E>)
- org.dmg.pmml.HasRequiredType<E> (also extends org.dmg.pmml.HasRequiredDataType<E>, org.dmg.pmml.HasRequiredOpType<E>)
- org.dmg.pmml.HasRequiredOpType<E>
- org.dmg.pmml.HasPredicate<E>
- org.dmg.pmml.scorecard.HasReasonCode<E>
- org.dmg.pmml.HasRecordCount<E>
- org.dmg.pmml.regression.HasRegressionTables<E>
- org.dmg.pmml.HasScore<E>
- org.dmg.pmml.HasScoreDistributions<E>
- org.dmg.pmml.HasTable<E>
- org.dmg.pmml.HasTargetFieldReference<E>
- org.dmg.pmml.HasValue<E>
- org.dmg.pmml.HasValueSet<E>
- org.dmg.pmml.Indexable<K>
- org.dmg.pmml.HasRequiredId<E> (also extends org.dmg.pmml.HasId<E,V>)
- org.dmg.pmml.HasRequiredName<E> (also extends org.dmg.pmml.HasName<E>)
- org.dmg.pmml.NamespacePrefixes
- org.dmg.pmml.NamespaceURIs
- org.dmg.pmml.tree.NodeTransformer
- org.dmg.pmml.anomaly_detection.PMMLAttributes
- org.dmg.pmml.association.PMMLAttributes
- org.dmg.pmml.baseline.PMMLAttributes
- org.dmg.pmml.bayesian_network.PMMLAttributes
- org.dmg.pmml.clustering.PMMLAttributes
- org.dmg.pmml.gaussian_process.PMMLAttributes
- org.dmg.pmml.general_regression.PMMLAttributes
- org.dmg.pmml.mining.PMMLAttributes
- org.dmg.pmml.naive_bayes.PMMLAttributes
- org.dmg.pmml.nearest_neighbor.PMMLAttributes
- org.dmg.pmml.neural_network.PMMLAttributes
- org.dmg.pmml.PMMLAttributes
- org.dmg.pmml.regression.PMMLAttributes
- org.dmg.pmml.rule_set.PMMLAttributes
- org.dmg.pmml.scorecard.PMMLAttributes
- org.dmg.pmml.sequence.PMMLAttributes
- org.dmg.pmml.support_vector_machine.PMMLAttributes
- org.dmg.pmml.text.PMMLAttributes
- org.dmg.pmml.time_series.PMMLAttributes
- org.dmg.pmml.tree.PMMLAttributes
- org.dmg.pmml.PMMLConstants
- org.dmg.pmml.anomaly_detection.PMMLElements
- org.dmg.pmml.association.PMMLElements
- org.dmg.pmml.baseline.PMMLElements
- org.dmg.pmml.bayesian_network.PMMLElements
- org.dmg.pmml.clustering.PMMLElements
- org.dmg.pmml.gaussian_process.PMMLElements
- org.dmg.pmml.general_regression.PMMLElements
- org.dmg.pmml.mining.PMMLElements
- org.dmg.pmml.naive_bayes.PMMLElements
- org.dmg.pmml.nearest_neighbor.PMMLElements
- org.dmg.pmml.neural_network.PMMLElements
- org.dmg.pmml.PMMLElements
- org.dmg.pmml.regression.PMMLElements
- org.dmg.pmml.rule_set.PMMLElements
- org.dmg.pmml.scorecard.PMMLElements
- org.dmg.pmml.sequence.PMMLElements
- org.dmg.pmml.support_vector_machine.PMMLElements
- org.dmg.pmml.text.PMMLElements
- org.dmg.pmml.time_series.PMMLElements
- org.dmg.pmml.tree.PMMLElements
- org.dmg.pmml.PMMLFunctions
- org.jpmml.model.visitors.Resettable
- org.dmg.pmml.ScoreDistributionTransformer
- org.jpmml.model.Serializer
- org.jpmml.model.TextSerializer
- org.dmg.pmml.StringValue<E>
- org.dmg.pmml.Visitable
- org.dmg.pmml.VisitContext
- org.dmg.pmml.Visitor
Annotation Type Hierarchy
- org.jpmml.model.annotations.Added (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.AlternateValueConstructor (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.CollectionElementType (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.CollectionSize (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.CopyConstructor (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.Deprecated (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.NullSafeGetter (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.Optional (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.Property (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.Removed (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.Required (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.Since (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.ValueConstructor (implements java.lang.annotation.Annotation)
- org.jpmml.model.annotations.ValueConstructorParameter (implements java.lang.annotation.Annotation)
Enum Hierarchy
- java.lang.Object
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
- org.dmg.pmml.Aggregate.Function (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.AnovaRow.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.ARIMA.PredictionMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.ARIMA.Transformation (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.Array.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.ChildParent.Recursive (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.clustering.ClusteringField.CenterField (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.clustering.ClusteringModel.ModelClass (implements org.dmg.pmml.StringValue<E>)
- org.jpmml.model.annotations.CollectionSize.Operator
- org.dmg.pmml.CompareFunction (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.ComparisonMeasure.Kind (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.CompoundPredicate.BooleanOperator (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.DataField.Cyclic (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.DataType (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.sequence.Delimiter.Gap (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.sequence.Delimiter.TimeWindow (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.DynamicRegressor.FutureValuesMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.DynamicRegressor.Transformation (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.ExponentialSmoothing.Transformation (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.general_regression.GeneralRegressionModel.CumulativeLinkFunction (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.general_regression.GeneralRegressionModel.Distribution (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.general_regression.GeneralRegressionModel.LinkFunction (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.general_regression.GeneralRegressionModel.ModelType (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.InterceptVector.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.Interval.Closure (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.InvalidValueTreatmentMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.Lag.Aggregate (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.MathContext (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.Matrix.Kind (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.MaximumLikelihoodStat.Method (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.MiningField.UsageType (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.MiningFunction (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.MissingValueTreatmentMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.nearest_neighbor.NearestNeighborModel.CategoricalScoringMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.nearest_neighbor.NearestNeighborModel.ContinuousScoringMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.neural_network.NeuralNetwork.ActivationFunction (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.neural_network.NeuralNetwork.NormalizationMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.NormDiscrete.Method (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.OpType (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.OutlierEffect.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.OutlierTreatmentMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.OutputField.Algorithm (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.OutputField.MultiValued (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.OutputField.RankBasis (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.OutputField.RankOrder (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.OutputField.RuleFeature (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.PartitionFieldStats.Weighted (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.general_regression.PCovMatrix.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.PredictiveModelQuality.DataUsage (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.regression.RegressionModel.ModelType (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.regression.RegressionModel.NormalizationMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.ResultFeature (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.rule_set.RuleSelectionMethod.Criterion (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.scorecard.Scorecard.BaselineMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.scorecard.Scorecard.ReasonCodeAlgorithm (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.SeasonalityExpoSmooth.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.mining.Segmentation.MissingPredictionTreatment (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.mining.Segmentation.MultipleModelMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.sequence.SetPredicate.Operator (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.SimplePredicate.Operator (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.SimpleSetPredicate.BooleanOperator (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.support_vector_machine.SupportVectorMachineModel.ClassificationMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.support_vector_machine.SupportVectorMachineModel.Representation (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.Target.CastInteger (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.baseline.TestDistributions.TestStatistic (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.TextIndex.CountHits (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.TextIndex.LocalTermWeights (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.text.TextModelNormalization.DocumentNormalization (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.text.TextModelNormalization.GlobalTermWeights (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.text.TextModelNormalization.LocalTermWeights (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.text.TextModelSimiliarity.SimilarityType (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.TimeAnchor.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.TimeCycle.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.TimeException.Type (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.TimeSeries.InterpolationMethod (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.TimeSeries.Usage (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.TimeSeriesModel.Algorithm (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.tree.TreeModel.MissingValueStrategy (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.tree.TreeModel.NoTrueChildStrategy (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.tree.TreeModel.SplitCharacteristic (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.time_series.TrendExpoSmooth.Trend (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.UnivariateStats.Weighted (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.Value.Property (implements org.dmg.pmml.StringValue<E>)
- org.dmg.pmml.Version
- org.dmg.pmml.VisitorAction
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)