com.rapidminer.gui.wizards
Interface ConfigurationListener

All Known Implementing Classes:

AbsoluteDiscretization, AbsoluteSampling, AbsoluteSplitChain, AbsoluteStratifiedSampling, AbsoluteValueFilter, AbstractBootstrapping, AbstractBootstrappingValidation, AbstractClusterer, AbstractDataProcessing, AbstractEntropyWeighting, AbstractExampleSetEvaluator, AbstractExampleSetJoin, AbstractExampleSetProcessing, AbstractExampleSetWriter, AbstractExampleSource, AbstractFeatureConstruction, AbstractFeatureProcessing, AbstractFeatureSelection, AbstractFeatureTransformation, AbstractGeneratingGeneticAlgorithm, AbstractGeneticAlgorithm, AbstractLearner, AbstractMetaLearner, AbstractModelLoader, AbstractMySVMLearner, AbstractOutlierDetection, AbstractPairwiseMatrixOperator, AbstractPerformanceEvaluator, AbstractReader, AbstractSamplingOperator, AbstractSeriesProcessing, AbstractSplitChain, AbstractStacking, AbstractStratifiedSampling, AbstractTreeLearner, AbstractWeighting, AbstractWriter, AccessExampleSource, AdaBoost, AdditiveRegression, AddNominalValue, AGA, AgglomerativeClustering, AggregationOperator, ANOVAMatrixOperator, AnovaSignificanceTestOperator, ArffExampleSetWriter, ArffExampleSource, AssociationRuleGenerator, Attribute2ExamplePivoting, AttributeAdd, AttributeAggregationOperator, AttributeBasedVotingLearner, AttributeConstruction, AttributeConstructionsLoader, AttributeConstructionsWriter, AttributeCopy, AttributeCounter, AttributeDescriptionFileWizardAction, AttributeFilter, AttributeMerge, AttributeSubsetPreprocessing, AttributeValueMapper, AttributeValueReplace, AttributeValueSplit, AttributeValueSubstring, AttributeValueTrim, AttributeWeights2ExampleSet, AttributeWeightsApplier, AttributeWeightSelection, AttributeWeightsLoader, AttributeWeightsWriter, AverageBuilder, BackwardWeighting, Bagging, BatchProcessing, BatchSlidingWindowValidation, BatchXValidation, BayBoostStream, BayesianBoosting, BestRuleInduction, BibtexExampleSource, Binary2MultiClassLearner, BinDiscretization, BinominalClassificationPerformanceEvaluator, Bootstrapping, BootstrappingValidation, BruteForceSelection, BytewiseExampleSource, C45ExampleSource, CachedDatabaseExampleSource, CentroidBasedEvaluator, CFSFeatureSetEvaluator, CHAIDLearner, ChangeAttributeName, ChangeAttributeNames2Generic, ChangeAttributeNamesReplace, ChangeAttributeRole, ChangeAttributeType, ChiSquaredWeighting, ChurnReductionExampleSetGenerator, ClassificationByRegression, ClearProcessLog, ClusterDensityEvaluator, ClusterIterator, ClusterModel2ExampleSet, ClusterModelReader, ClusterModelWriter, ClusterNumberEvaluator, ClusterToPrediction, CommandLineOperator, CompleteFeatureGenerationOperator, ComponentWeights, ConditionedFeatureGeneration, ConsistencyFeatureSetEvaluator, Construction2Names, CorpusBasedFeatureWeighting, CorrelationMatrixOperator, CorrelationWeighting, CostBasedThresholdLearner, CostEvaluator, CovarianceMatrixOperator, CSVExampleSetWriter, CSVExampleSource, CumulateSeries, DasyLabDataReader, Data2Log, Data2Performance, DatabaseExampleSetWriter, DatabaseExampleSource, DatabaseExampleVisualizationOperator, DataMacroDefinitionOperator, DataStatisticsOperator, Date2Nominal, Date2Numerical, DateAdjust, DBaseExampleSource, DBOutlierOperator, DBScan, DecisionStumpLearner, DecisionTreeLearner, DefaultLearner, Deobfuscator, DifferentiateSeries, DimensionalityReducer, DirectedGGA, DirectMailingExampleSetGenerator, DKNOutlierOperator, EMClusterer, EnsureMonotonicity, EqualLabelWeighting, EvolutionaryFeatureAggregation, EvolutionaryParameterOptimizationOperator, EvolutionaryWeighting, EvoSVM, Example2AttributePivoting, ExampleDistributionEvaluator, ExampleFilter, ExampleRangeFilter, ExampleSet2AttributeWeights, ExampleSet2ClusterModel, ExampleSet2Similarity, ExampleSet2SimilarityExampleSet, ExampleSetBasedFeatureOperator, ExampleSetCartesian, ExampleSetGenerator, ExampleSetIntersect, ExampleSetIterator, ExampleSetJoin, ExampleSetMerge, ExampleSetMinus, ExampleSetSuperset, ExampleSetToDictionary, ExampleSetTransformationOperator, ExampleSetTranspose, ExampleSetUnion, ExampleSetWriter, ExampleSource, ExampleVisualizationOperator, ExcelExampleSetWriter, ExcelExampleSource, ExceptionHandling, ExchangeAttributeRoles, ExponentialSmoothing, FastICA, FastLargeMargin, FeatureBlockTypeFilter, FeatureFilter, FeatureGenerationOperator, FeatureIterator, FeatureNameFilter, FeatureOperator, FeatureRangeRemoval, FeatureSelectionOperator, FeatureSubsetIteration, FeatureValueTypeFilter, FeatureWeighting, FileEchoOperator, FileIterator, FillDataGaps, FixedSplitValidationChain, FlattenClusterModel, ForecastingPerformanceEvaluator, FormulaExtractor, ForwardSelectionOperator, ForwardWeighting, FourierGGA, FourierTransform, FPGrowth, FrequencyDiscretization, FrequentItemSetAttributeCreator, FrequentItemSetUnificator, GaussFeatureConstructionOperator, GeneratingGeneticAlgorithm, GenericWekaAssociationLearner, GenericWekaAttributeWeighting, GenericWekaClustererAdaptor, GenericWekaEnsembleLearner, GenericWekaLearner, GenericWekaMetaLearner, GeneticAlgorithm, GHA, GiniWeighting, GNUPlotOperator, GPLearner, GridSearchParameterOptimizationOperator, GroupByOperator, GroupedANOVAOperator, GuessValueTypes, HyperHyper, ID3Learner, ID3NumericalLearner, IdTagging, ImprovedNeuralNetLearner, IndexSeries, InfiniteValueReplenishment, InfoGainRatioWeighting, InfoGainWeighting, InteractiveAttributeWeighting, InternalBinominalRemapping, IOConsumeOperator, IOContainerReader, IOContainerWriter, IOMultiplyOperator, IOObjectReader, IOObjectWriter, IORetrievalOperator, IOSelectOperator, IOStorageOperator, IteratingGSS, IteratingOperatorChain, IteratingPerformanceAverage, IterativeWeightOptimization, JamaDimensionalityReduction, JMySVMLearner, KDBExampleSource, KennardStoneSampling, KernelKMeans, KernelLogisticRegression, KernelNaiveBayes, KernelPCA, KMeans, KMedoids, KNNLearner, LabelTrend2Classification, LagSeries, LearningCurveOperator, LibSVMLearner, LiftChartGenerator, LiftParetoChartGenerator, LinearCombinationOperator, LinearDiscriminantAnalysis, LinearRegression, LOFOutlierOperator, LogisticRegression, Macro2Log, MacroConstructionOperator, MacroDefinitionOperator, MassiveDataGenerator, MaterializeDataInMemory, MemoryCleanUp, MergeNominalValues, MetaCost, MinimalEntropyDiscretization, MinMaxBinDiscretization, MinMaxWrapper, MissingValueImputation, MissingValueReplenishment, MissingValueReplenishmentView, ModelApplier, ModelBasedSampling, ModelGrouper, ModelLoader, ModelUngrouper, ModelUpdater, ModelWriter, MovingAverage, MultiCriterionDecisionStumps, MultipleLabelGenerator, MultipleLabelIterator, MultivariateSeries2WindowExamples, MultiwayDecisionTree, MutualInformationMatrixOperator, MyKLRLearner, NaiveBayes, NameBasedWeighting, NeuralNetLearner, NoiseOperator, Nominal2Date, Nominal2String, NominalExampleSetGenerator, NominalNumbers2Numerical, NominalToBinominal, NominalToNumeric, NonDominatedSorting, Normalization, Numerical2Real, NumericToBinominal, NumericToFormattedNominal, NumericToNominal, NumericToPolynominal, Obfuscator, OneRErrorWeighting, Operator, OperatorChain, OperatorEnabler, OperatorSelector, ParameterCloner, ParameterIteratingOperatorChain, ParameterIteration, ParameterOptimizationOperator, ParameterSetLoader, ParameterSetter, ParameterSetWriter, PartialExampleSetLearner, PartitionOperator, PCA, PCAWeighting, Perceptron, PerformanceEvaluator, PerformanceLoader, PerformanceWriter, PermutationOperator, PlattScaling, PolynomialRegression, PolynominalClassificationPerformanceEvaluator, PreprocessingOperator, PrincipalComponentsTransformation, ProcessBranch, ProcessEmbeddingOperator, ProcessLog2AttributeWeights, ProcessLog2ExampleSet, ProcessLogOperator, ProcessRootOperator, ProductGenerationOperator, PSOSVM, PSOWeighting, QuadraticDiscriminantAnalysis, QuadraticParameterOptimizationOperator, RainflowMatrixOperator, RandomClustering, RandomForestLearner, RandomOptimizationChain, RandomSelection, RandomSplitValidationChain, RandomSplitWrapperValidationChain, RandomTreeLearner, RatioSplitChain, RatioStratifiedSampling, Real2Integer, RegressionPerformanceEvaluator, RegularizedDiscriminantAnalysis, RelativeRegression, RelevanceTreeLearner, ReliefWeighting, RemoveCorrelatedFeatures, RemoveDuplicates, RemoveUselessFeatures, RepeatUntilOperatorChain, ResultSetExampleSource, ResultWriter, ROCBasedComparisonOperator, ROCChartGenerator, RuleLearner, RVMLearner, SalesExampleSetGenerator, ScriptingOperator, SDRulesetInduction, Series2WindowExamples, SeriesMissingValueReplenishment, SetData, SignificanceTestOperator, Similarity2ExampleSet, SimpleExampleSource, SimpleNeuralNetLearner, SimpleOperatorChain, SimplePerformanceEvaluator, SimpleRuleLearner, SimpleSampling, SimpleUncertainPredictionsTransformation, SingleAttributes2ValueSeries, SingleMacroDefinitionOperator, SingleRuleLearner, SingleTextObjectInput, SlidingWindowValidation, SOMDimensionalityReduction, SOMModelVisualization, Sorting, SparseFormatExampleSource, SPSSExampleSource, SQLExecution, Stacking, StandardDeviationWeighting, StataExampleSource, String2Nominal, SubgroupDiscovery, SupportVectorCounter, SVClustering, SVDReduction, SVMWeighting, SymmetricalUncertaintyOperator, TeamProfitExampleSetGenerator, TestEvaluator, TextCleaner, TextExtractor, TextObject2ExampleSet, TextObjectLoader, TextObjectWriter, TextSegmenter, TFIDFFilter, ThresholdApplier, ThresholdCreator, ThresholdFinder, ThresholdLoader, ThresholdWriter, TopDownClustering, TransfersExampleSetGenerator, TransformedRegression, TransitionGraphOperator, TransitionMatrixOperator, Tree2RuleConverter, Trend, TTestSignificanceTestOperator, UnivariateLabelSeriesPrediction, UnivariateSeries2WindowExamples, UpSellingExampleSetGenerator, URLExampleSource, UserBasedDiscretization, UserBasedPerformanceEvaluator, UseRowAsAttributeNames, ValidationChain, ValueIteration, ValueReplenishment, ValueSubgroupIteration, VectorLinearRegression, Vote, WeightedBootstrapping, WeightedBootstrappingValidation, WeightedPerformanceCreator, WeightGuidedSelectionOperator, WeightOptimization, WekaModelLoader, WindowExamples2ModelingData, WindowExamples2OriginalData, WrapperValidationChain, WrapperXValidation, XrffExampleSetWriter, XrffExampleSource, XValidation, XVPrediction, YAGGA, YAGGA2

public interface ConfigurationListener

Classes implementing this interface should be able to listen to parameter changes indicated by a given XML string.

Author:

Ingo Mierswa

Method Summary

Parameters	getParameters()
Process	getProcess()
void	setParameters(Parameters parameters)

Method Detail

getParameters

Parameters getParameters()

setParameters

void setParameters(Parameters parameters)

getProcess

Process getProcess()