Uses of Class
com.rapidminer.parameter.UndefinedParameterError

Packages that use UndefinedParameterError
com.rapidminer.gui.renderer This package consists the base classes for the renderers / visualization components of RapidMiner components and results. 
com.rapidminer.operator Provides operators for machine learning and data pre-processing. 
com.rapidminer.operator.clustering.clusterer The operators for clustering. 
com.rapidminer.operator.features Provides feature handling operators. 
com.rapidminer.operator.features.construction Provides operators for automatic feature construction. 
com.rapidminer.operator.features.selection Provides operators for automatic feature selection. 
com.rapidminer.operator.features.weighting Operators to weight features or determine feature relevance. 
com.rapidminer.operator.io Operators to read data from files or write them into files. 
com.rapidminer.operator.learner.bayes This package contains classes and operators for Naive Bayes learning. 
com.rapidminer.operator.learner.functions This package contains learners based on the concept of function approximation. 
com.rapidminer.operator.learner.functions.kernel.jmysvm.svm The main package for the Java version of the the regression and classification support vector machine mySVM. 
com.rapidminer.operator.learner.functions.kernel.logistic The main package for Kernel Logistic Regression (KLR). 
com.rapidminer.operator.learner.functions.neuralnet This package contains a neural net learner based on Joone. 
com.rapidminer.operator.learner.rules Provides rule learners. 
com.rapidminer.operator.learner.tree Provides decision tree learners. 
com.rapidminer.operator.meta Provides operators for experiment iteration, meta operators, and optimization. 
com.rapidminer.operator.meta.branch Provides operators for conditioned branching. 
com.rapidminer.operator.performance Provides performance evaluating operators and performance criteria. 
com.rapidminer.operator.preprocessing.sampling Preprocessing operators used for sampling. 
com.rapidminer.parameter This package contains classes for handling of operator parameters and specifiying parameter types. 
com.rapidminer.tools Provides tools for RapidMiner like parsers for the input files. 
com.rapidminer.tools.math.kernels This package contains several widely used kernel functions. 
com.rapidminer.tools.math.similarity This package consists similariy and distance measures. 
 

Uses of UndefinedParameterError in com.rapidminer.gui.renderer
 

Methods in com.rapidminer.gui.renderer that throw UndefinedParameterError
 java.lang.String AbstractRenderer.getParameter(java.lang.String key)
           
 java.awt.Color AbstractRenderer.getParameterAsColor(java.lang.String key)
           
 double AbstractRenderer.getParameterAsDouble(java.lang.String key)
           
 java.io.File AbstractRenderer.getParameterAsFile(java.lang.String key)
           
 java.io.File AbstractRenderer.getParameterAsFile(java.lang.String key, boolean createMissingDirectories)
           
 java.io.InputStream AbstractRenderer.getParameterAsInputStream(java.lang.String key)
           
 int AbstractRenderer.getParameterAsInt(java.lang.String key)
           
 double[][] AbstractRenderer.getParameterAsMatrix(java.lang.String key)
           
 java.lang.String AbstractRenderer.getParameterAsString(java.lang.String key)
           
 java.util.List<java.lang.String[]> AbstractRenderer.getParameterList(java.lang.String key)
           
 boolean AbstractRenderer.isParameterSet(java.lang.String key)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator
 

Methods in com.rapidminer.operator that throw UndefinedParameterError
 java.lang.String Operator.getParameter(java.lang.String key)
          Returns a single parameter retrieved from the Parameters of this Operator.
 java.awt.Color Operator.getParameterAsColor(java.lang.String key)
          Returns a single named parameter and casts it to Color.
 double Operator.getParameterAsDouble(java.lang.String key)
          Returns a single named parameter and casts it to double.
 java.io.File Operator.getParameterAsFile(java.lang.String key)
          Returns a single named parameter and casts it to File.
 java.io.File Operator.getParameterAsFile(java.lang.String key, boolean createMissingDirectories)
          Returns a single named parameter and casts it to File.
 java.io.InputStream Operator.getParameterAsInputStream(java.lang.String key)
          Returns a single named parameter and tries to handle it as URL.
 int Operator.getParameterAsInt(java.lang.String key)
          Returns a single named parameter and casts it to int.
 double[][] Operator.getParameterAsMatrix(java.lang.String key)
          Returns a single named parameter and casts it to a double matrix.
 java.lang.String Operator.getParameterAsString(java.lang.String key)
          Returns a single named parameter and casts it to String.
 java.util.List<java.lang.String[]> Operator.getParameterList(java.lang.String key)
          Returns a single named parameter and casts it to List.
 boolean Operator.isParameterSet(java.lang.String key)
          Returns true iff the parameter with the given name is set.
 void ProcessRootOperator.sendEmail(IOContainer results, java.lang.Throwable e)
          This method can be used to send an email after the process has finished.
 

Uses of UndefinedParameterError in com.rapidminer.operator.clustering.clusterer
 

Methods in com.rapidminer.operator.clustering.clusterer that throw UndefinedParameterError
protected  java.util.LinkedList<java.lang.Integer> SVClustering.getNeighbours(ExampleSet exampleSet, Example centroid, int centroidIndex, int[] assignments, SVClusteringAlgorithm clustering)
           
 

Constructors in com.rapidminer.operator.clustering.clusterer that throw UndefinedParameterError
SVClusteringAlgorithm(Operator paramOperator, Kernel new_kernel, SVCExampleSet new_examples)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.features
 

Methods in com.rapidminer.operator.features that throw UndefinedParameterError
protected  PopulationEvaluator FeatureOperator.getPopulationEvaluator(ExampleSet exampleSet)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.features.construction
 

Methods in com.rapidminer.operator.features.construction that throw UndefinedParameterError
 ExampleSetBasedPopulation YAGGA.createInitialPopulation(ExampleSet es)
          Creates a initial population.
 ExampleSetBasedPopulation AbstractGeneratingGeneticAlgorithm.createInitialPopulation(ExampleSet es)
          Sets up a population of given size and creates ExampleSets with randomly selected attributes (the probability to be switched on is controlled by pInitialize).
protected  ExampleSetBasedPopulationOperator AbstractGeneratingGeneticAlgorithm.getCrossoverPopulationOperator(ExampleSet exampleSet)
          Returns an UnbalancedCrossover.
protected  ExampleSetBasedPopulationOperator GeneratingGeneticAlgorithm.getGeneratingPopulationOperator(ExampleSet eSet)
          Returns a specialized mutation, i.e. a AttributeGenerator
protected  ExampleSetBasedPopulationOperator GeneratingGeneticAlgorithm.getMutationPopulationOperator(ExampleSet eSet)
          Returns an operator that performs the mutation.
 

Uses of UndefinedParameterError in com.rapidminer.operator.features.selection
 

Methods in com.rapidminer.operator.features.selection that throw UndefinedParameterError
 Population WeightGuidedSelectionOperator.createInitialPopulation(ExampleSet es)
          Returns an example set containing only the feature with the biggest weight.
 Population FeatureSelectionOperator.createInitialPopulation(ExampleSet es)
          May es have n features.
protected  PopulationOperator GeneticAlgorithm.getCrossoverPopulationOperator(ExampleSet eSet)
          Returns an operator that performs crossover.
protected  PopulationOperator GeneticAlgorithm.getMutationPopulationOperator(ExampleSet eSet)
          Returns an operator that performs the mutation.
 

Uses of UndefinedParameterError in com.rapidminer.operator.features.weighting
 

Methods in com.rapidminer.operator.features.weighting that throw UndefinedParameterError
 Population EvolutionaryWeighting.createInitialPopulation(ExampleSet exampleSet)
           
 PopulationOperator EvolutionaryWeighting.getCrossoverPopulationOperator(ExampleSet eSet)
           
 PopulationOperator EvolutionaryWeighting.getMutationPopulationOperator(ExampleSet eSet)
           
protected  java.util.List<PopulationOperator> EvolutionaryWeighting.getPostProcessingPopulationOperators(ExampleSet eSet)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.io
 

Methods in com.rapidminer.operator.io that throw UndefinedParameterError
 java.sql.ResultSet KDBExampleSource.getResultSet()
           
protected  ExampleSet StataExampleSource.readStream(java.io.InputStream inputStream, DataRowFactory dataRowFactory)
           
protected  ExampleSet SPSSExampleSource.readStream(java.io.InputStream inputStream, DataRowFactory dataRowFactory)
           
protected  ExampleSet DasyLabDataReader.readStream(java.io.InputStream inputStream, DataRowFactory dataRowFactory)
           
protected abstract  ExampleSet BytewiseExampleSource.readStream(java.io.InputStream inputStream, DataRowFactory dataRowFactory)
          Reads the given file and constructs an example set from the read data.
 void DatabaseExampleSource.setNominalValues(java.util.List attributeList, java.sql.ResultSet resultSet, Attribute label)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.learner.bayes
 

Methods in com.rapidminer.operator.learner.bayes that throw UndefinedParameterError
protected  Jama.Matrix[] RegularizedDiscriminantAnalysis.getInverseCovarianceMatrices(ExampleSet exampleSet, java.lang.String[] labels)
           
protected  Jama.Matrix[] QuadraticDiscriminantAnalysis.getInverseCovarianceMatrices(ExampleSet exampleSet, java.lang.String[] labels)
           
protected  Jama.Matrix[] LinearDiscriminantAnalysis.getInverseCovarianceMatrices(ExampleSet exampleSet, java.lang.String[] labels)
           
protected  DiscriminantModel RegularizedDiscriminantAnalysis.getModel(ExampleSet exampleSet, java.lang.String[] labels, Jama.Matrix[] meanVectors, Jama.Matrix[] inverseCovariances, double[] aprioriProbabilities)
           
protected  DiscriminantModel LinearDiscriminantAnalysis.getModel(ExampleSet exampleSet, java.lang.String[] labels, Jama.Matrix[] meanVectors, Jama.Matrix[] inverseCovariances, double[] aprioriProbabilities)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.learner.functions
 

Methods in com.rapidminer.operator.learner.functions that throw UndefinedParameterError
protected  Kernel Perceptron.getKernel()
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.learner.functions.kernel.jmysvm.svm
 

Constructors in com.rapidminer.operator.learner.functions.kernel.jmysvm.svm that throw UndefinedParameterError
SVM(Operator paramOperator, Kernel new_kernel, SVMExamples new_examples, ExampleSet rapidMinerExamples, RandomGenerator randomGenerator)
          class constructor.
SVMpattern(Operator paramOperator, Kernel kernel, SVMExamples sVMExamples, ExampleSet rapidMinerExamples, RandomGenerator randomGenerator)
           
SVMregression(Operator paramOperator, Kernel kernel, SVMExamples sVMExamples, ExampleSet rapidMinerExamples, RandomGenerator randomGenerator)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.learner.functions.kernel.logistic
 

Constructors in com.rapidminer.operator.learner.functions.kernel.logistic that throw UndefinedParameterError
KLR(Operator paramOperator)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.learner.functions.neuralnet
 

Methods in com.rapidminer.operator.learner.functions.neuralnet that throw UndefinedParameterError
 void NeuralNetLearner.train(ExampleSet exampleSet)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.learner.rules
 

Methods in com.rapidminer.operator.learner.rules that throw UndefinedParameterError
protected  boolean BestRuleInduction.communicateToHighscore(ConjunctiveRuleModel rule, double[] counts)
          Adds a rule to the set of best rules if its score is high enough.
protected  double BestRuleInduction.getOptimisticScore(double[] counts)
          Computes the best possible score that might be achieved by refining the rule.
protected  double BestRuleInduction.getScore(double[] counts, boolean predictPositives)
          Computes the WRAcc or BINOMIAL TEST FUNCTION based on p, n, and the global values P and N stored in this object.
 

Uses of UndefinedParameterError in com.rapidminer.operator.learner.tree
 

Methods in com.rapidminer.operator.learner.tree that throw UndefinedParameterError
protected  Criterion AbstractTreeLearner.createCriterion(double minimalGain)
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.meta
 

Methods in com.rapidminer.operator.meta that throw UndefinedParameterError
protected  ESOptimization EvolutionaryParameterOptimizationOperator.createOptimizer(RandomGenerator random)
          This method creates a apropriate optimizer
 

Uses of UndefinedParameterError in com.rapidminer.operator.meta.branch
 

Methods in com.rapidminer.operator.meta.branch that throw UndefinedParameterError
 java.lang.Class<IOObject> ProcessBranch.getSelectedClass()
           
 

Uses of UndefinedParameterError in com.rapidminer.operator.performance
 

Methods in com.rapidminer.operator.performance that throw UndefinedParameterError
protected  double[] UserBasedPerformanceEvaluator.getClassWeights(Attribute label)
          Returns null.
protected  double[] SimplePerformanceEvaluator.getClassWeights(Attribute label)
          Returns null.
protected  double[] PolynominalClassificationPerformanceEvaluator.getClassWeights(Attribute label)
           
protected  double[] PerformanceEvaluator.getClassWeights(Attribute label)
           
protected  double[] ForecastingPerformanceEvaluator.getClassWeights(Attribute label)
           
protected  double[] BinominalClassificationPerformanceEvaluator.getClassWeights(Attribute label)
          Returns null.
protected abstract  double[] AbstractPerformanceEvaluator.getClassWeights(Attribute label)
          Delivers class weights for performance criteria which implement the ClassWeightedPerformance interface.
 

Uses of UndefinedParameterError in com.rapidminer.operator.preprocessing.sampling
 

Methods in com.rapidminer.operator.preprocessing.sampling that throw UndefinedParameterError
protected  boolean SimpleSampling.accept(Example example, RandomGenerator random)
           
 

Uses of UndefinedParameterError in com.rapidminer.parameter
 

Methods in com.rapidminer.parameter that throw UndefinedParameterError
 java.lang.String Parameters.getParameter(java.lang.String key)
          Returns the value of the given parameter.
 java.lang.Object ParameterHandler.getParameter(java.lang.String key)
          Returns a single parameter retrieved from the Parameters of this Operator.
 java.awt.Color ParameterHandler.getParameterAsColor(java.lang.String key)
          Returns a single named parameter and casts it to Color.
 double ParameterHandler.getParameterAsDouble(java.lang.String key)
          Returns a single named parameter and casts it to double.
 java.io.File ParameterHandler.getParameterAsFile(java.lang.String key)
          Returns a single named parameter and casts it to File.
 java.io.File ParameterHandler.getParameterAsFile(java.lang.String key, boolean createMissingDirectories)
          Returns a single named parameter and casts it to File.
 java.io.InputStream ParameterHandler.getParameterAsInputStream(java.lang.String key)
          Returns a single named parameter and tries to handle it as URL.
 int ParameterHandler.getParameterAsInt(java.lang.String key)
          Returns a single named parameter and casts it to int.
 double[][] ParameterHandler.getParameterAsMatrix(java.lang.String key)
          Returns a single named parameter and casts it to a double matrix.
 java.lang.String ParameterHandler.getParameterAsString(java.lang.String key)
          Returns a single named parameter and casts it to String.
 java.util.List<java.lang.String[]> ParameterHandler.getParameterList(java.lang.String key)
          Returns a single named parameter and casts it to List.
 boolean ParameterHandler.isParameterSet(java.lang.String key)
          Returns true iff the parameter with the given name is set.
 

Uses of UndefinedParameterError in com.rapidminer.tools
 

Methods in com.rapidminer.tools that throw UndefinedParameterError
static RandomGenerator RandomGenerator.getRandomGenerator(Operator operator)
          This method returns the appropriate RandomGenerator for the user chosen parameter combination
 void LogService.initGUI()
           
 

Constructors in com.rapidminer.tools that throw UndefinedParameterError
LogService(Process process)
          Creates a log service for this process.
LogService(Process process, int logVerbosity)
          Creates a log service for this process.
 

Uses of UndefinedParameterError in com.rapidminer.tools.math.kernels
 

Methods in com.rapidminer.tools.math.kernels that throw UndefinedParameterError
static Kernel Kernel.createKernel(ParameterHandler handler)
           
 

Uses of UndefinedParameterError in com.rapidminer.tools.math.similarity
 

Methods in com.rapidminer.tools.math.similarity that throw UndefinedParameterError
static DistanceMeasure DistanceMeasures.createDivergence(ParameterHandler parameterHandler, ExampleSet exampleSet, IOContainer ioContainer)
           
static DistanceMeasure DistanceMeasures.createMeasure(ParameterHandler parameterHandler, ExampleSet exampleSet, IOContainer ioContainer)
           
static DistanceMeasure DistanceMeasures.createMixedMeasure(ParameterHandler parameterHandler, ExampleSet exampleSet, IOContainer ioContainer)
           
static DistanceMeasure DistanceMeasures.createNominalMeasure(ParameterHandler parameterHandler, ExampleSet exampleSet, IOContainer ioContainer)
           
static DistanceMeasure DistanceMeasures.createNumericalMeasure(ParameterHandler parameterHandler, ExampleSet exampleSet, IOContainer ioContainer)
           
 



Copyright © 2001-2009 by Rapid-I