HasExtensions
trait HasExtensions
The PMML schema contains a mechanism for extending the content of a model. Extension elements should be present as the first child in all elements and groups defined in PMML. This way it is possible to place information in the Extension elements which affects how the remaining entries are treated. The main element in each model should have Extension elements as the first and the last child for maximum flexibility.
class Object
trait Matchable
class Any
trait PmmlElement
class Application
class ComparisonMeasure
trait ContinuousDistribution
class AnyDistribution
class GaussianDistribution
class PoissonDistribution
class UniformDistribution
class Counts
trait Distance
class binarySimilarity
object chebychev.type
object cityBlock.type
object euclidean.type
object jaccard.type
class minkowski
object simpleMatching.type
object squaredEuclidean.type
object tanimoto.type
trait DoubleEvaluator
trait MixedEvaluator
class FieldRef
trait RegressionEvaluator
trait RegressionPredictor
class CategoricalPredictor
class FactorPredictor
class CovariatePredictor
class NumericPredictor
class PredictorTerm
class RegressionParameter
class RegressionTable
class ComplexPartialScore
trait Evaluator
trait Expression
class Apply
class DerivedField
trait LeafExpression
class Constant
class MapValues
trait UnaryExpression
trait FieldExpression
class Discretize
class NormDiscrete
trait NumericFieldExpression
class NormContinuous
class TextIndex
class Header
class Interval
class AboveInterval
class BelowInterval
class GenericInterval
object InfinityInterval.type
class PointInterval
trait Matrix
class DenseMatrix
class DiagonalMatrix
class SparseMatrix
class SymmetricMatrix
class ModelExplanation
class ModelStats
class ModelVerification
class NumericInfo
class Partition
class PartitionFieldStats
trait Predicate
class CompoundPredicate
object False.type
class SimplePredicate
class SimpleSetPredicate
object True.type
class Attribute
class Node
class Segment
class Quantile
class Row
class ScoreDistribution
class ScoreDistributions
trait Table
class InlineTable
class TableLocator
class Value
class DataDictionary
class DataField
class Decision
class Decisions
class MiningField
class MiningSchema
class Output
class OutputField
class Target
class TargetValue
class Targets
class AssociationRule
class BaseCumHazardTables
class BaselineCell
class BaselineStratum
class BayesInput
class BayesInputs
class BayesOutput
class Categories
class Category
class Characteristic
class Characteristics
class Cluster
class ClusteringField
class Coefficient
class Coefficients
class Comparisons
class CompoundRule
class Con
class Covariances
class CovariateList
class EventValues
class FactorList
class InstanceField
class InstanceFields
class Item
class ItemRef
class Itemset
class KNNInput
class KNNInputs
class KohonenMap
class LinearKernelType
class MeanClusterDistances
class MissingValueWeights
class Model
class AnomalyDetectionModel
class AssociationModel
class ClusteringModel
class DataModel
class TransformationModel
class EmbeddedModel
class DecisionTree
class Regression
class GeneralRegressionModel
class MiningModel
class MutableModel
class MutableMiningModel
class NaiveBayesModel
class NearestNeighborModel
class NeuralNetwork
class RegressionModel
class RuleSetModel
class Scorecard
class TreeModel
class NeuralInput
class NeuralInputs
class NeuralLayer
class NeuralOutput
class NeuralOutputs
class Neuron
class PCell
class PCovCell
class PCovMatrix
class PPCell
class PPMatrix
class PairCounts
class ParamMatrix
class Parameter
class ParameterList
class PolynomialKernelType
class Predictor
class RadialBasisKernelType
class RuleSelectionMethod
class RuleSet
class Segmentation
class SigmoidKernelType
class SimpleRule
class SupportVector
class SupportVectorMachine
class SupportVectors
class TargetValueCount
class TargetValueCounts
class TargetValueStat
class TargetValueStats
class TrainingInstances
class VariableWeight
class VectorDictionary
class VectorFields
class VectorInstance
class DefineFunction
class DiscretizeBin
class FieldColumnPair
trait Function
trait BinaryFunction
trait BinaryArithmetic
object Add.type
object Divide.type
object Hypot.type
object Modulo.type
object Multiply.type
object Pow.type
object Subtract.type
object Threshold.type
trait BinaryBoolean
object Equal.type
object Matches.type
object NotEqual.type
trait BinaryCompare
object GreaterOrEqual.type
object GreaterThan.type
object LessOrEqual.type
object LessThan.type
trait BinaryString
object DateDaysSinceYear.type
object DateSecondsSinceYear.type
object FormatDatetime.type
object FormatNumber.type
object SAS-EM-String-Normalize.type
object SAS-FORMAT-$CHARw.type
object SAS-FORMAT-BESTw.type
object Concat.type
object If.type
object IsIn.type
object IsNotIn.type
trait MultipleArithmetic
object Avg.type
object Max.type
object Median.type
object Min.type
object Product.type
object Sum.type
trait MultipleBoolean
object And.type
object Or.type
trait TernaryFunction
object Replace.type
object Substring.type
trait TernaryArithmetic
object NormalCDF.type
object NormalIDF.type
object NormalPDF.type
trait UnaryFunction
object DateSecondsSinceMidnight.type
object Not.type
object StringLength.type
trait UnaryArithmetic
object ACos.type
object ASin.type
object ATan.type
object Abs.type
object Ceil.type
object Cos.type
object CosH.type
object Erf.type
object Exp.type
object Expm1.type
object Floor.type
object Ln.type
object Ln1p.type
object Log10.type
object RInt.type
object Round.type
object Sin.type
object SinH.type
object Sqrt.type
object StdNormalCDF.type
object StdNormalIDF.type
object StdNormalPDF.type
object Tan.type
object TanH.type
trait UnaryBoolean
object IsMissing.type
object IsNotMissing.type
object IsNotValid.type
object IsValid.type
trait UnaryString
object Lowercase.type
object TrimBlanks.type
object Uppercase.type
class LinearNorm
class TextIndexNormalization
class TransformationDictionary
class LocalTransformations