com.rapidminer.tools
Interface LoggingHandler

All Known Implementing Classes:

AbsoluteDiscretization, AbsoluteError, AbsoluteSampling, AbsoluteSplitChain, AbsoluteStratifiedSampling, AbsoluteValueFilter, AbstractBootstrapping, AbstractBootstrappingValidation, AbstractClusterer, AbstractDataProcessing, AbstractDataReader, AbstractDataResultSetReader, AbstractDateDataProcessing, AbstractDiscretizationOperator, AbstractEigenvectorModel, AbstractEntropyWeighting, AbstractExampleSet, AbstractExampleSetEvaluator, AbstractExampleSetJoin, AbstractExampleSetProcessing, AbstractExampleSetWriter, AbstractExampleSource, AbstractExampleWeighting, AbstractFeatureConstruction, AbstractFeatureProcessing, AbstractFeatureSelection, AbstractFeatureTransformation, AbstractFilteredDataProcessing, AbstractGeneratingGeneticAlgorithm, AbstractGeneticAlgorithm, AbstractIteratingOperatorChain, AbstractKernelBasedLearner, AbstractLearner, AbstractMetaLearner, AbstractModel, AbstractModelLoader, AbstractMySVMLearner, AbstractMySVMModel, AbstractNormalizationModel, AbstractOutlierDetection, AbstractPairwiseMatrixOperator, AbstractPerformanceEvaluator, AbstractReader, AbstractSamplingOperator, AbstractSplitChain, AbstractStacking, AbstractStratifiedSampling, AbstractTreeLearner, AbstractValueProcessing, AbstractWeighting, AbstractWriter, AccessDataReader, AccessDataWriter, AdaBoost, AdaBoostModel, AdditiveRegression, AdditiveRegressionModel, AddNominalValue, AGA, AgglomerativeClustering, AggregationOperator, AnovaCalculator.AnovaSignificanceTestResult, ANOVAMatrix, ANOVAMatrixOperator, AnovaSignificanceTestOperator, AppendingExampleSetWriter, AreaUnderCurve, AreaUnderCurve.Neutral, AreaUnderCurve.Optimistic, AreaUnderCurve.Pessimistic, ArffExampleSetWriter, ArffExampleSource, AssociationRuleGenerator, AssociationRules, AssociationRulesApplier, Attribute2ExamplePivoting, AttributeAdd, AttributeAggregationOperator, AttributeBasedVotingLearner, AttributeBasedVotingModel, AttributeConstruction, AttributeConstructionsLoader, AttributeConstructionsWriter, AttributeCopy, AttributeCounter, AttributeDefaultModel, AttributeFilter, AttributeMerge, AttributeSelectionExampleSet, AttributeSubsetPreprocessing, AttributeValueMapper, AttributeValueReplace, AttributeValueSplit, AttributeValueSubstring, AttributeValueTrim, AttributeWeight, AttributeWeightedExampleSet, AttributeWeights, AttributeWeights2ExampleSet, AttributeWeightsApplier, AttributeWeightSelection, AttributeWeightsLoader, AttributeWeightsWriter, Averagable, AverageBuilder, AverageVector, BackwardAttributeEliminationOperator, BackwardWeighting, Bagging, BaggingModel, BatchProcessing, BatchXValidation, BayBoostModel, BayBoostStream, BayesianBoosting, BestRuleInduction, BibtexExampleSource, Binary2MultiClassLearner, Binary2MultiClassModel, BinaryClassificationPerformance, BinDiscretization, BinominalClassificationPerformanceEvaluator, Bootstrapping, BootstrappingOperator, BootstrappingValidation, BruteForceSelection, BytewiseExampleSource, C45ExampleSource, CachedDatabaseExampleSource, CentroidBasedEvaluator, CentroidClusterModel, CHAIDLearner, ChangeAttributeName, ChangeAttributeNames2Generic, ChangeAttributeNamesReplace, ChangeAttributeRole, ChangeAttributeType, ChiSquaredWeighting, ChurnReductionExampleSetGenerator, ClassificationByRegression, ClassificationCostCriterion, ClearProcessLog, ClusterDensityEvaluator, ClusterIterator, ClusterModel, ClusterModel2ExampleSet, ClusterModelReader, ClusterModelWriter, ClusterNumberEvaluator, ClusterToPrediction, CollectionIterationOperator, CollectionOperator, CommandLineOperator, CompleteFeatureGenerationOperator, ComponentWeights, ConditionedExampleSet, ConditionedFeatureGeneration, ConjunctiveRuleModel, ConsolePrintOperator, Construction2Names, CorpusBasedFeatureWeighting, CorrelationCriterion, CorrelationMatrixOperator, CorrelationWeighting, CostBasedThresholdLearner, CostEvaluator, CovarianceMatrixOperator, CrossDistancesOperator, CrossEntropy, CSVDataReader, CSVExampleSetWriter, CSVExampleSource, CSVExampleSource, DasyLabDataReader, Data2Log, Data2Performance, DatabaseDataReader, DatabaseExampleSetWriter, DatabaseExampleVisualizationOperator, DataMacroDefinitionOperator, DataStatistics, DataStatisticsOperator, Date2Nominal, Date2Numerical, DateAdjust, DBaseExampleSource, DBOutlierOperator, DBScan, DecisionStumpLearner, DecisionTreeLearner, DeclareMissingValueOperator, DefaultLearner, DefaultModel, DelayOperator, DendogramHierarchicalClusterModel, Deobfuscator, Dictionary, DimensionalityReducer, DimensionalityReducerModel, DirectedGGA, DirectMailingExampleSetGenerator, DiscretizationModel, DiscriminantModel, DistributionModel, DKNOutlierOperator, DummyOperator, EcodbOperator, EMClusterer, EqualLabelWeighting, EstimatedPerformance, EvolutionaryFeatureAggregation, EvolutionaryParameterOptimizationOperator, EvolutionaryWeighting, EvoSVM, EvoSVMModel, Example2AttributePivoting, ExampleDistributionEvaluator, ExampleFilter, ExampleIterator, ExampleRangeFilter, ExampleSet2AttributeWeights, ExampleSet2ClusterModel, ExampleSet2Similarity, ExampleSet2SimilarityExampleSet, ExampleSetBasedFeatureOperator, ExampleSetCartesian, ExampleSetGenerator, ExampleSetIntersect, ExampleSetIterator, ExampleSetJoin, ExampleSetMerge, ExampleSetMinus, ExampleSetSuperset, ExampleSetToDictionary, ExampleSetTransformationOperator, ExampleSetTranspose, ExampleSetUnion, ExampleSetWriter, ExampleSource, ExampleVisualizationOperator, ExcelExampleSetWriter, ExcelExampleSource, ExcelExampleSource, ExceptionHandling, ExchangeAttributeRoles, ExtractClusterPrototypes, FastICA, FastICAModel, FastKMeans, FastLargeMargin, FastMarginModel, FeatureBlockTypeFilter, FeatureFilter, FeatureGenerationOperator, FeatureIterator, FeatureNameFilter, FeatureOperator, FeatureRangeRemoval, FeatureSelectionOperator, FeatureSubsetIteration, FeatureValueTypeFilter, FeatureWeighting, FileEchoOperator, FileIterator, FillDataGaps, FixedSplitValidationChain, FlatFuzzyClusterModel, FlattenClusterModel, ForestBasedWeighting, FormulaExtractor, ForwardAttributeSelectionOperator, ForwardSelectionOperator, ForwardWeighting, FourierGGA, FourierTransform, FPGrowth, FrequencyDiscretization, FrequentItemSetAttributeCreator, FrequentItemSets, FrequentItemSetUnificator, GaussFeatureConstructionOperator, GeneratePredictionOperator, GeneratePredictionRankingOperator, GeneratingGeneticAlgorithm, GeneticAlgorithm, GHA, GHAModel, GiniWeighting, GNUPlotOperator, GPLearner, GPModel, GridSearchParameterOptimizationOperator, GroupByOperator, GroupedANOVAOperator, GroupedModel, GSPOperator, GSPSet, GSSModel, GuessValueTypes, HeaderExampleSet, HierarchicalClusterModel, HierarchicalLearner, HierarchicalModel, HierarchicalMultiClassLearner, HierarchicalMultiClassModel, HyperHyper, HyperModel, HyperplaneModel, ID3Learner, ID3NumericalLearner, IdTagging, IGSSResult, ImprovedNeuralNetLearner, ImprovedNeuralNetModel, InfiniteValueReplenishment, InfoGainRatioWeighting, InfoGainWeighting, InteractiveAttributeWeighting, InternalBinominalRemapping, IOConsumeOperator, IOContainerReader, IOContainerWriter, IOMerger, IOMultiplier, IOMultiplyOperator, IOObjectCollection, IOObjectReader, IOObjectWriter, IORetrievalOperator, IOSelectOperator, IOStorageOperator, IQRNormalizationModel, IteratingGSS, IteratingOperatorChain, IteratingPerformanceAverage, JamaDimensionalityReduction, JMySVMLearner, JMySVMModel, KDBExampleSource, KennardStoneSampling, KernelDistributionModel, KernelKMeans, KernelLogisticRegression, KernelLogisticRegressionModel, KernelModel, KernelNaiveBayes, KernelPCA, KernelPCAModel, KMeans, KMedoids, KNNClassificationModel, KNNLearner, KNNRegressionModel, LearningCurveOperator, LenientRelativeError, LibSVMLearner, LibSVMModel, LiftChartGenerator, LiftParetoChart, LiftParetoChartGenerator, LinearCombinationOperator, LinearDiscriminantAnalysis, LinearMySVMLearner, LinearMySVMModel, LinearRegression, LinearRegressionModel, LocalPolynomialExampleWeightingOperator, LocalPolynomialRegressionModel, LocalPolynomialRegressionOperator, LOFOutlierOperator, LogisticLoss, LogisticRegression, LogisticRegressionModel, LogService, Macro2Log, MacroConstructionOperator, MacroDefinitionOperator, MappedExampleSet, Margin, MassiveDataGenerator, MaterializeDataInMemory, MDLCriterion, MeasuredPerformance, MemoryCleanUp, MergeNominalValues, MetaCost, MetaCostModel, MinimalEntropyDiscretization, MinMaxBinDiscretization, MinMaxCriterion, MinMaxNormalizationModel, MinMaxWrapper, MissingValueImputation, MissingValueReplenishment, MissingValueReplenishmentView, ModelApplier, ModelBasedSampling, ModelGrouper, ModelLoader, ModelUngrouper, ModelUpdater, ModelViewExampleSet, ModelWriter, MultiClassificationPerformance, MultiCriterionDecisionStumps, MultiCriterionDecisionStumps.DecisionStumpModel, MultiModelByRegression, MultipleLabelGenerator, MultipleLabelIterator, MultiwayDecisionTree, MutualInformationMatrixOperator, MyKLRLearner, MyKLRModel, NaiveBayes, NameBasedWeighting, NeuralNetLearner, NeuralNetModel, NoiseModel, NoiseOperator, Nominal2Date, Nominal2String, NominalExampleSetGenerator, NominalNumbers2Numerical, NominalToBinominal, NominalToBinominalModel, NominalToNumeric, NonDominatedSorting, NonSpecialAttributesExampleSet, Normalization, NormalizedAbsoluteError, Numerical2Date, Numerical2Real, NumericalMatrix, NumericToBinominal, NumericToFormattedNominal, NumericToNominal, NumericToPolynominal, Obfuscator, OneRErrorWeighting, Operator, OperatorChain, OperatorEnabler, OperatorSelector, ParameterCloner, ParameterIteratingOperatorChain, ParameterIteration, ParameterOptimizationOperator, ParameterSet, ParameterSetLoader, ParameterSetter, ParameterSetWriter, PartialExampleSetLearner, PartitionOperator, PCA, PCAModel, PCAWeighting, Perceptron, PerformanceCriterion, PerformanceEvaluator, PerformanceLoader, PerformanceVector, PerformanceWriter, PermutationOperator, PlattScaling, PlattScalingModel, PolynomialRegression, PolynomialRegressionModel, PolynominalClassificationPerformanceEvaluator, PredictionAverage, PredictionModel, PreprocessingModel, PreprocessingOperator, ProcessBranch, ProcessEmbeddingOperator, ProcessLog2AttributeWeights, ProcessLog2ExampleSet, ProcessLogOperator, ProcessRootOperator, ProductGenerationOperator, ProportionNormalizationModel, PSOSVM, PSOWeighting, QuadraticDiscriminantAnalysis, QuadraticParameterOptimizationOperator, RainflowMatrix, RainflowMatrixOperator, RandomClustering, RandomForestLearner, RandomForestModel, RandomOptimizationChain, RandomSelection, RandomSplitValidationChain, RandomSplitWrapperValidationChain, RandomTreeLearner, RankCorrelation, RankingCriterion, RankingEvaluator, RatioSplitChain, RatioStratifiedSampling, Real2Integer, RegressionPerformanceEvaluator, RegularizedDiscriminantAnalysis, RelativeError, RelativeRegression, RelativeRegressionModel, RelevanceTreeLearner, ReliefWeighting, RemappedExampleSet, RemoveCorrelatedFeatures, RemoveDuplicates, RemoveUselessFeatures, RepeatUntilOperatorChain, ReplaceMissingExampleSet, RepositorySource, RepositoryStorer, ResultObjectAdapter, ResultSetExampleSource, ResultWriter, RMAbstractClusterer, ROCBasedComparisonOperator, ROCChartGenerator, ROCComparison, RootMeanSquaredError, RootRelativeSquaredError, RuleLearner, RuleModel, RuleSet, RunVector, RVMLearner, RVMModel, SalesExampleSetGenerator, SamplingOperator, ScriptingOperator, SDEnsemble, SDRulesetInduction, SeeminglyUnrelatedRegressionModel, SeeminglyUnrelatedRegressionOperator, SelectionOperator, SendMailOperator, SetData, SignificanceTestOperator, SignificanceTestResult, Similarity2ExampleSet, SimilarityExampleSet, SimilarityMeasureObject, SimpleBinaryPredictionModel, SimpleClassificationError, SimpleCriterion, SimpleDistributionModel, SimpleExampleSet, SimpleExampleSource, SimpleNeuralNetLearner, SimpleNeuralNetModel, SimpleOperatorChain, SimplePerformanceEvaluator, SimplePredictionModel, SimpleResultObject, SimpleRuleLearner, SimpleUncertainPredictionsTransformation, SimpleVoteModel, SingleExampleExampleSet, SingleMacroDefinitionOperator, SingleRuleLearner, SoftMarginLoss, SOMDimensionalityReduction, SOMDimensionalityReductionModel, SOMModelVisualization, SOMModelVisualization.SOMModelVisualizationResult, SortedExampleSet, Sorting, SparseFormatExampleSource, SpecialFormatExampleSetWriter, SplittedExampleSet, SplitValidationOperator, SPSSExampleSource, SQLExecution, SquaredCorrelationCriterion, SquaredError, Stacking, StackingModel, StandardDeviationWeighting, StataExampleSource, StratifiedSamplingOperator, StrictRelativeError, String2Nominal, SubgroupDiscovery, SupportVectorCounter, SVClustering, SVDReduction, SVMWeighting, SymmetricalUncertaintyOperator, TeamProfitExampleSetGenerator, TFIDFFilter, Threshold, ThresholdApplier, ThresholdCreator, ThresholdFinder, ThresholdLoader, ThresholdModel, ThresholdWriter, TopDownClustering, TransactionClustersExampleSetGenerator, TransfersExampleSetGenerator, TransformedRegression, TransformedRegressionModel, TransitionGraph, TransitionGraphOperator, TransitionMatrixOperator, Tree2RuleConverter, TreeModel, TTestSignificanceTestOperator, TTestSignificanceTestOperator.TTestSignificanceTestResult, UnfoldOperator, UnsetMacroOperator, UpdateablePredictionModel, UpSellingExampleSetGenerator, URLExampleSource, UserBasedDiscretization, UserBasedPerformanceEvaluator, UseRowAsAttributeNames, ValidationChain, ValueIteration, ValueReplenishment, ValueReplenishmentModel, ValueSubgroupIteration, VectorLinearRegression, VectorRegressionModel, Vote, WeightedBootstrapping, WeightedBootstrappingValidation, WeightedMultiClassPerformance, WeightedPerformanceCreator, WeightGuidedSelectionOperator, WrapperLoggingHandler, WrapperValidationChain, WrapperXValidation, XrffExampleSetWriter, XrffExampleSource, XValidation, XVPrediction, YAGGA, YAGGA2, ZTransformationModel

public interface LoggingHandler

Implementations of this interface are able to handle different types of logging.

Author:

Ingo Mierswa

Method Summary

void	log(java.lang.String message) Logs a status message.
void	log(java.lang.String message, int level) Logs a message with the given log level.
void	logError(java.lang.String message) Logs an error message.
void	logNote(java.lang.String message) Logs a note message.
void	logWarning(java.lang.String message) Logs a warning message.

Method Detail

log

void log(java.lang.String message)

Logs a status message.

log

void log(java.lang.String message,
         int level)

Logs a message with the given log level.

logNote

void logNote(java.lang.String message)

Logs a note message.

logWarning

void logWarning(java.lang.String message)

Logs a warning message.

logError

void logError(java.lang.String message)

Logs an error message.