Trait

org.pmml4s.common

HasExtensions

Related Doc: package common

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trait HasExtensions extends AnyRef

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.

Linear Supertypes
AnyRef, Any
Known Subclasses
ACos, ASin, ATan, AboveInterval, Abs, Add, And, AnomalyDetectionModel, AnyDistribution, Application, Apply, AssociationModel, AssociationRule, Attribute, Avg, BaseCumHazardTables, BaselineCell, BaselineStratum, BayesInput, BayesInputs, BayesOutput, BelowInterval, BinaryArithmetic, BinaryBoolean, BinaryCompare, BinaryFunction, BinaryString, CategoricalPredictor, Categories, Category, Ceil, Characteristic, Characteristics, Cluster, ClusteringField, ClusteringModel, Coefficient, Coefficients, ComparisonMeasure, Comparisons, ComplexPartialScore, CompoundPredicate, CompoundRule, Con, Concat, Constant, ContinuousDistribution, ContrastMatrixFactorPredictor, Cos, CosH, Counts, Covariances, CovariateList, CovariatePredictor, DataDictionary, DataField, DataModel, DateDaysSinceYear, DateSecondsSinceMidnight, DateSecondsSinceYear, Decision, DecisionTree, Decisions, DefineFunction, DenseMatrix, DerivedField, DiagonalMatrix, Discretize, DiscretizeBin, Distance, Divide, DoubleEvaluator, EmbeddedModel, Equal, Erf, Evaluator, EventValues, Exp, Expm1, Expression, FactorList, FactorPredictor, False, FieldColumnPair, FieldExpression, FieldRef, Floor, FormatDatetime, FormatNumber, Function, GaussianDistribution, GeneralRegressionModel, GenericInterval, GreaterOrEqual, GreaterThan, Header, Hypot, If, InfinityInterval, InlineTable, InstanceField, InstanceFields, Interval, IsIn, IsMissing, IsNotIn, IsNotMissing, IsNotValid, IsValid, Item, ItemRef, Itemset, KNNInput, KNNInputs, KohonenMap, LeafExpression, LessOrEqual, LessThan, LinearKernelType, LinearNorm, Ln, Ln1p, LocalTransformations, Log10, Lowercase, MapValues, Matches, Matrix, Max, MeanClusterDistances, Median, Min, MiningField, MiningModel, MiningSchema, MissingValueWeights, MixedEvaluator, Model, ModelExplanation, ModelStats, ModelVerification, Modulo, MultipleArithmetic, MultipleBoolean, Multiply, MutableAnomalyDetectionModel, MutableMiningModel, MutableModel, NaiveBayesModel, NearestNeighborModel, NeuralInput, NeuralInputs, NeuralLayer, NeuralNetwork, NeuralOutput, NeuralOutputs, Neuron, Node, NormContinuous, NormDiscrete, NormalCDF, NormalIDF, NormalPDF, Not, NotEqual, NumericFieldExpression, NumericInfo, NumericPredictor, Or, Output, OutputField, PCell, PCovCell, PCovMatrix, PPCell, PPMatrix, PairCounts, ParamMatrix, Parameter, ParameterList, Partition, PartitionFieldStats, PmmlElement, PointInterval, PoissonDistribution, PolynomialKernelType, Pow, Predicate, Predictor, PredictorTerm, Product, Quantile, RInt, RadialBasisKernelType, Regression, RegressionEvaluator, RegressionModel, RegressionParameter, RegressionPredictor, RegressionTable, Replace, Round, Row, RuleSelectionMethod, RuleSet, RuleSetModel, SAS-EM-String-Normalize, SAS-FORMAT-$CHARw, SAS-FORMAT-BESTw, ScoreDistribution, ScoreDistributions, Scorecard, Segment, Segmentation, SigmoidKernelType, SimplePredicate, SimpleRule, SimpleSetPredicate, Sin, SinH, SparseMatrix, Sqrt, StdNormalCDF, StdNormalIDF, StdNormalPDF, Substring, Subtract, Sum, SupportVector, SupportVectorMachine, SupportVectorMachineModel, SupportVectors, SymmetricMatrix, Table, TableLocator, Tan, TanH, Target, TargetValue, TargetValueCount, TargetValueCounts, TargetValueStat, TargetValueStats, Targets, TernaryArithmetic, TernaryFunction, TextIndex, TextIndexNormalization, Threshold, TrainingInstances, TransformationDictionary, TransformationModel, TreeModel, TrimBlanks, True, UnaryArithmetic, UnaryBoolean, UnaryExpression, UnaryFunction, UnaryString, UniformDistribution, Uppercase, Value, VariableWeight, VectorDictionary, VectorFields, VectorInstance, binarySimilarity, chebychev, cityBlock, euclidean, jaccard, minkowski, simpleMatching, squaredEuclidean, tanimoto
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def extensions: Seq[Extension]

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def hasExtensions: Boolean

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

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  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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