Class Hierarchy
- java.lang.Object
- java.util.AbstractCollection<E> (implements java.util.Collection<E>)
- org.jpmml.model.visitors.AbstractVisitor (implements org.dmg.pmml.Visitor)
- org.jpmml.model.ArrayUtil
- org.dmg.pmml.tree.DefaultNodeTransformer (implements org.dmg.pmml.tree.NodeTransformer)
- org.jpmml.model.EnumUtil
- org.dmg.pmml.FieldName (implements java.io.Serializable)
- org.jpmml.model.JAXBUtil
- org.jpmml.model.NumberUtil
- org.jpmml.model.inlinetable.ObjectFactory
- org.dmg.pmml.ObjectFactory
- org.dmg.pmml.general_regression.ObjectFactory
- org.dmg.pmml.neural_network.ObjectFactory
- org.dmg.pmml.support_vector_machine.ObjectFactory
- org.dmg.pmml.time_series.ObjectFactory
- org.dmg.pmml.regression.ObjectFactory
- org.dmg.pmml.rule_set.ObjectFactory
- org.dmg.pmml.tree.ObjectFactory
- org.dmg.pmml.baseline.ObjectFactory
- org.dmg.pmml.nearest_neighbor.ObjectFactory
- org.dmg.pmml.bayesian_network.ObjectFactory
- org.dmg.pmml.scorecard.ObjectFactory
- org.dmg.pmml.naive_bayes.ObjectFactory
- org.dmg.pmml.text.ObjectFactory
- org.dmg.pmml.mining.ObjectFactory
- org.dmg.pmml.association.ObjectFactory
- org.dmg.pmml.clustering.ObjectFactory
- org.dmg.pmml.sequence.ObjectFactory
- org.dmg.pmml.gaussian_process.ObjectFactory
- 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.baseline.Alternate (implements org.dmg.pmml.HasExtensions<E>)
- 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.gaussian_process.ARDSquaredExponentialKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Array
- org.dmg.pmml.scorecard.Attribute (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasPredicate<E>)
- org.dmg.pmml.general_regression.BaseCumHazardTables (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.baseline.Baseline (implements org.dmg.pmml.HasExtensions<E>)
- 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.HasFieldReference<E>)
- org.dmg.pmml.BlockIndicator (implements org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.BoundaryValueMeans (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.BoundaryValues (implements org.dmg.pmml.HasExtensions<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.dmg.pmml.clustering.CenterFields
- org.dmg.pmml.scorecard.Characteristic (implements org.dmg.pmml.HasExtensions<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.ClusteringModelQuality
- 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.ComparisonMeasure (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.clustering.Comparisons (implements org.dmg.pmml.HasExtensions<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.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.HasExtensions<E>)
- org.dmg.pmml.CorrelationFields (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.CorrelationMethods (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Correlations (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.CorrelationValues (implements org.dmg.pmml.HasExtensions<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.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.HasType<E>, org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.sequence.Delimiter (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.HasExtensions<E>)
- org.dmg.pmml.Distribution
- org.dmg.pmml.text.DocumentTermMatrix (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.EmbeddedModel
- org.dmg.pmml.Entity<V> (implements org.dmg.pmml.HasId<E,V>)
- 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.HasName<E>, org.dmg.pmml.HasType<E>, org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.DataField (implements org.dmg.pmml.HasContinuousDomain<E>, org.dmg.pmml.HasDiscreteDomain<E>, org.dmg.pmml.HasDisplayName<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.DerivedField (implements org.dmg.pmml.HasContinuousDomain<E>, org.dmg.pmml.HasDiscreteDomain<E>, org.dmg.pmml.HasDisplayName<E>, org.dmg.pmml.HasExpression<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.OutputField (implements org.dmg.pmml.HasDiscreteDomain<E>, org.dmg.pmml.HasDisplayName<E>, org.dmg.pmml.HasExpression<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ParameterField
- org.dmg.pmml.ResultField (implements org.dmg.pmml.HasDisplayName<E>, 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.gaussian_process.GeneralizedExponentialKernel (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Header (implements org.dmg.pmml.HasExtensions<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.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.HasId<E,V>, org.dmg.pmml.Indexable<K>)
- 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.HasId<E,V>, org.dmg.pmml.Indexable<K>)
- org.dmg.pmml.support_vector_machine.Kernel
- 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.MatCell
- org.dmg.pmml.Matrix
- org.dmg.pmml.bayesian_network.Mean (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.Measure
- org.dmg.pmml.MiningBuildTask (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.MiningField (implements org.dmg.pmml.HasExtensions<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.Model
- org.dmg.pmml.ModelExplanation (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.ModelLiftGraph (implements org.dmg.pmml.HasExtensions<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.MultivariateStats (implements org.dmg.pmml.HasExtensions<E>, java.lang.Iterable<T>)
- 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.HasExtensions<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.bayesian_network.NormalDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.NumericInfo (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.OptimumLiftGraph (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.Indexable<K>)
- org.dmg.pmml.general_regression.ParameterCell
- 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.PartitionFieldStats (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<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.PredictiveModelQuality (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.general_regression.Predictor (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<E>)
- org.dmg.pmml.general_regression.PredictorList
- 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.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.ScoreDistribution (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.SeasonalityExpoSmooth
- org.dmg.pmml.mining.Segmentation (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.sequence.Sequence (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasId<E,V>, org.dmg.pmml.Indexable<K>)
- 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.HasId<E,V>, org.dmg.pmml.HasValueSet<E>)
- org.dmg.pmml.sequence.SetReference (implements org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.SparseArray<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.HasFieldReference<E>, org.dmg.pmml.HasOpType<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.regression.Term (implements 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.HasId<E,V>, org.dmg.pmml.Indexable<K>)
- 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.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.time_series.TimeException
- org.dmg.pmml.time_series.TimeSeries
- org.dmg.pmml.time_series.TimeSeriesAlgorithm
- 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.TransformationDictionary (implements org.dmg.pmml.HasDerivedFields<E>, org.dmg.pmml.HasExtensions<E>)
- org.dmg.pmml.time_series.TrendExpoSmooth
- 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.UnivariateStats (implements org.dmg.pmml.HasExtensions<E>, org.dmg.pmml.HasFieldReference<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.bayesian_network.Variance (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.HasId<E,V>, org.dmg.pmml.Indexable<K>)
- 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.YCoordinates (implements org.dmg.pmml.HasExtensions<E>)
- org.jpmml.model.PMMLUtil
- org.jpmml.model.ReflectionUtil
- org.jpmml.model.SAXUtil
- org.jpmml.model.SerializationUtil
- org.jpmml.model.StringUtil
- org.jpmml.model.TermUtil
- org.jpmml.model.ToStringHelper
- org.jpmml.model.ValueUtil
- javax.xml.bind.annotation.adapters.XmlAdapter<ValueType,BoundType>
- 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.XPathUtil
Interface Hierarchy
Annotation Type Hierarchy
Enum Hierarchy
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