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| 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)
|
|
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