com.rapidminer.report
Interface Readable

All Superinterfaces:

Reportable

All Known Subinterfaces:

FormulaProvider, Model, ViewModel

All Known Implementing Classes:

AbsoluteError, AbstractEigenvectorModel, AbstractModel, AbstractMySVMModel, AbstractNormalizationModel, AdaBoostModel, AdditiveRegressionModel, AreaUnderCurve, AreaUnderCurve.Neutral, AreaUnderCurve.Optimistic, AreaUnderCurve.Pessimistic, AttributeBasedVotingModel, AttributeDefaultModel, AttributeWeight, Averagable, AverageVectorViewer, BaggingModel, BayBoostModel, Binary2MultiClassModel, BinaryClassificationPerformance, CentroidClusterModel, ClassificationCostCriterion, ClusterModel, ConjunctiveRuleModel, CorrelationCriterion, CrossEntropy, DefaultModel, DefaultReadable, Dictionary, DimensionalityReducerModel, DiscretizationModel, DiscriminantModel, DistributionModel, EstimatedPerformance, EvoSVMModel, FastICAModel, FastMarginModel, FlatFuzzyClusterModel, GHAModel, GPModel, GroupedModel, GSSModel, HierarchicalModel, HierarchicalMultiClassModel, HyperModel, HyperplaneModel, ImprovedNeuralNetModel, IQRNormalizationModel, JMySVMModel, KernelDistributionModel, KernelLogisticRegressionModel, KernelModel, KernelPCAModel, KNNClassificationModel, KNNRegressionModel, LenientRelativeError, LibSVMModel, LinearMySVMModel, LinearRegressionModel, LocalPolynomialRegressionModel, LogisticLoss, LogisticRegressionModel, Margin, MDLCriterion, MeasuredPerformance, MetaCostModel, MinMaxCriterion, MinMaxNormalizationModel, MultiClassificationPerformance, MultiCriterionDecisionStumps.DecisionStumpModel, MultiModelByRegression, MyKLRModel, NeuralNetModel, NoiseModel, NominalToBinominalModel, NormalizedAbsoluteError, PCAModel, PerformanceCriterion, PlattScalingModel, PolynomialRegressionModel, PredictionAverage, PredictionModel, PreprocessingModel, ProportionNormalizationModel, RandomForestModel, RankCorrelation, RankingCriterion, RelativeError, RelativeRegressionModel, RootMeanSquaredError, RootRelativeSquaredError, RuleModel, RuleSet, RVMModel, SDEnsemble, SeeminglyUnrelatedRegressionModel, SimpleBinaryPredictionModel, SimpleClassificationError, SimpleCriterion, SimpleDistributionModel, SimpleNeuralNetModel, SimplePredictionModel, SimpleVoteModel, SoftMarginLoss, SOMDimensionalityReductionModel, SquaredCorrelationCriterion, SquaredError, StackingModel, StrictRelativeError, ThresholdModel, TransformedRegressionModel, TreeModel, TTestSignificanceTestOperator.TTestSignificanceTestResult, UpdateablePredictionModel, ValueReplenishmentModel, VectorRegressionModel, WeightedMultiClassPerformance, ZTransformationModel

public interface Readable
extends Reportable

Indicates a reportable object which is readable, i.e. which delivers a string representation.

Author:

Sebastian Land

Method Summary

boolean	isInTargetEncoding()
java.lang.String	toString()

Method Detail

toString

java.lang.String toString()

Overrides:

toString in class java.lang.Object

isInTargetEncoding

boolean isInTargetEncoding()