org.dmg.pmml

Interface HasLocator

All Known Implementing Classes:

AbsoluteExponentialKernel, Aggregate, Alternate, Annotation, AnomalyDetectionModel, Anova, AnovaRow, AntecedentSequence, AnyDistribution, Application, Apply, AR, ARDSquaredExponentialKernel, ARIMA, ARMAPart, Array, AssociationModel, AssociationRule, Attribute, BaseCumHazardTables, Baseline, BaselineCell, BaselineModel, BaselineStratum, BayesianNetworkModel, BayesianNetworkNodes, BayesInput, BayesInputs, BayesOutput, BinarySimilarity, BlockIndicator, BoundaryValueMeans, BoundaryValues, BranchNode, CategoricalPredictor, Categories, Category, Cell, CenterFields, Characteristic, Characteristics, Chebychev, ChildParent, CityBlock, ClassifierNode, ClassLabels, Cluster, ClusteringField, ClusteringModel, ClusteringModelQuality, Coefficient, Coefficients, ComparisonField, ComparisonMeasure, Comparisons, ComplexArray, ComplexNode, ComplexPartialScore, CompoundPredicate, CompoundRule, ConfusionMatrix, Connection, ConsequentSequence, Constant, Constraints, ContinuousConditionalProbability, ContinuousDistribution, ContinuousDistribution, ContinuousNode, ContStats, CorrelationFields, CorrelationMethods, Correlations, CorrelationValues, CountingBranchNode, CountingLeafNode, Counts, CountTable, Covariances, CovariateList, DataDictionary, DataField, Decision, Decisions, DecisionTree, DefineFunction, Delimiter, Denominator, DerivedField, DiscreteConditionalProbability, DiscreteDistribution, DiscreteNode, Discretize, DiscretizeBin, DiscrStats, Distance, Distribution, DocumentTermMatrix, DynamicRegressor, EmbeddedModel, Entity, Euclidean, EventValues, ExponentialSmoothing, Expression, Extension, FactorList, False, Field, FieldColumnPair, FieldRef, FieldValue, FieldValueCount, FinalNoise, FinalNu, FinalOmega, FinalPredictedNoise, FinalStateVector, FinalTheta, ForwardingModel, GARCH, GARCHPart, GaussianDistribution, GaussianProcessModel, GeneralizedExponentialKernel, GeneralRegressionModel, Header, HVector, InlineTable, InputCell, InstanceField, InstanceFields, InterceptVector, Interval, IntSparseArray, Item, ItemRef, Itemset, Jaccard, KalmanState, Kernel, KNNInput, KNNInputs, KohonenMap, Lag, Lambda, LeafNode, Level, LiftData, LiftGraph, LinearKernel, LinearNorm, LocalTransformations, LognormalDistribution, Lower, MA, MACoefficients, MapValues, MatCell, Matrix, MaximumLikelihoodStat, Mean, MeanClusterDistances, Measure, MeasurementMatrix, MiningBuildTask, MiningField, MiningModel, MiningSchema, Minkowski, MissingValueWeights, Model, ModelExplanation, ModelLiftGraph, ModelQuality, ModelStats, ModelVerification, MultivariateStat, MultivariateStats, NaiveBayesModel, NearestNeighborModel, NeuralEntity, NeuralInput, NeuralInputs, NeuralLayer, NeuralNetwork, NeuralOutput, NeuralOutputs, Neuron, Node, NonseasonalComponent, NonseasonalFactor, NormalDistribution, NormContinuous, NormDiscrete, Numerator, NumericInfo, NumericPredictor, ObservationVarianceMatrix, OptimumLiftGraph, OutlierEffect, Output, OutputCell, OutputField, PairCounts, Parameter, ParameterCell, ParameterField, ParameterList, ParamMatrix, ParentValue, Partition, PartitionFieldStats, PastVariances, PCell, PCovCell, PCovMatrix, PMML, PMMLObject, PoissonDistribution, PolynomialKernel, PPCell, PPMatrix, Predicate, PredictedStateCovarianceMatrix, PredictiveModelQuality, Predictor, PredictorList, PredictorTerm, PsiVector, Quantile, RadialBasisKernel, RadialBasisKernel, RandomLiftGraph, RealSparseArray, Regression, RegressionModel, RegressionTable, RegressorValues, Residuals, ResidualSquareCoefficients, ResultField, ROC, ROCGraph, Row, Rule, RuleSelectionMethod, RuleSet, RuleSetModel, Scorecard, ScoreDistribution, SeasonalComponent, SeasonalFactor, SeasonalityExpoSmooth, SeasonalTrendDecomposition, Segment, Segmentation, SelectedStateCovarianceMatrix, Sequence, SequenceModel, SequenceReference, SequenceRule, SetPredicate, SetReference, SigmoidKernel, Similarity, SimpleMatching, SimpleNode, SimplePredicate, SimpleRule, SimpleSetPredicate, SparseArray, SpectralAnalysis, SquaredEuclidean, StateSpaceModel, StateVector, Stats, SupportVector, SupportVectorMachine, SupportVectorMachineModel, SupportVectors, TableLocator, Tanimoto, Target, Targets, TargetValue, TargetValueCount, TargetValueCounts, TargetValueStat, TargetValueStats, Taxonomy, Term, TestDistributions, TextCorpus, TextDictionary, TextDocument, TextIndex, TextIndexNormalization, TextModel, TextModelNormalization, TextModelSimiliarity, Theta, ThetaRecursionState, Time, TimeAnchor, TimeCycle, TimeException, TimeSeries, TimeSeriesAlgorithm, TimeSeriesModel, Timestamp, TimeValue, TrainingInstances, TransferFunctionValues, TransformationDictionary, TransitionMatrix, TreeModel, TrendCoefficients, TrendExpoSmooth, TriangularDistribution, True, UniformDistribution, UniformDistribution, UnivariateStats, Upper, Value, ValueProbability, VariableWeight, Variance, VarianceCoefficients, VectorDictionary, VectorFields, VectorInstance, VerificationField, VerificationFields, XCoordinates, YCoordinates

public interface HasLocator

Method Summary

Modifier and Type	Method and Description
Locator	getLocator()
boolean	hasLocator()
void	setLocator(Locator locator)

Method Detail

hasLocator

boolean hasLocator()

getLocator

Locator getLocator()

setLocator

void setLocator(Locator locator)