Uses of Class
de.dfki.madm.mlwizard.Classifier

Packages that use Classifier
de.dfki.madm.mlwizard   
de.dfki.madm.mlwizard.cli   
de.dfki.madm.mlwizard.functionality   
 

Uses of Classifier in de.dfki.madm.mlwizard
 

Methods in de.dfki.madm.mlwizard that return Classifier
 Classifier KnowledgeBase.getClassifier(java.lang.String name)
           
 

Methods in de.dfki.madm.mlwizard that return types with arguments of type Classifier
 java.util.Collection<Classifier> KnowledgeBase.getClassifiers()
           
 

Methods in de.dfki.madm.mlwizard with parameters of type Classifier
 void KnowledgeBase.addClassifier(Classifier classifier, boolean evaluate)
          adds a classifier to this knowledge base
static void Administrator.addClassifier(Classifier classifier, java.lang.String parametersFile, java.lang.String accuraciesFile, KnowledgeBase knowledgeBase)
          adds a classifier with pre-computed accuracies and parameters
 java.util.List<java.lang.Double> KnowledgeBase.getStartPoints(Classifier classifier, com.rapidminer.example.Example queryMetaFeatures, int n)
          determines the start points for the GA for a given classifier and dataset
 

Constructors in de.dfki.madm.mlwizard with parameters of type Classifier
Classifier(java.lang.String name, java.lang.Class<? extends com.rapidminer.operator.learner.AbstractLearner> learner, java.util.List<java.lang.String[]> bounds, java.util.List<java.lang.String[]> nominalParams, Classifier other)
           
KnowledgeBase.LearningThread(Classifier classifier, KnowledgeBase knowledgeBase, boolean evaluate)
           
 

Uses of Classifier in de.dfki.madm.mlwizard.cli
 

Methods in de.dfki.madm.mlwizard.cli that return types with arguments of type Classifier
static java.util.Map<Classifier,com.rapidminer.operator.meta.ParameterSet> CommandLineInterface.optimize(com.rapidminer.example.ExampleSet dataset, com.rapidminer.example.Example queryMetaFeatures, java.util.Collection<Classifier> classifiers, int nThreads, KnowledgeBase knowledgeBase, java.io.PrintStream outStream, Regressioner.RegressionResult regressionResult)
           
 

Methods in de.dfki.madm.mlwizard.cli with parameters of type Classifier
static void CommandLineInterface.construct(com.rapidminer.example.ExampleSet dataset, Classifier classifier, com.rapidminer.operator.meta.ParameterSet parameterSet, java.lang.String filename, java.io.OutputStream outStream)
           
 

Method parameters in de.dfki.madm.mlwizard.cli with type arguments of type Classifier
static java.util.Map<Classifier,com.rapidminer.operator.meta.ParameterSet> CommandLineInterface.optimize(com.rapidminer.example.ExampleSet dataset, com.rapidminer.example.Example queryMetaFeatures, java.util.Collection<Classifier> classifiers, int nThreads, KnowledgeBase knowledgeBase, java.io.PrintStream outStream, Regressioner.RegressionResult regressionResult)
           
 

Uses of Classifier in de.dfki.madm.mlwizard.functionality
 

Fields in de.dfki.madm.mlwizard.functionality with type parameters of type Classifier
 java.util.Vector<com.rapidminer.tools.container.Pair<Classifier,java.lang.Double>> Regressioner.RegressionResult.predictions
          accuracy predictions for each classifier
 

Methods in de.dfki.madm.mlwizard.functionality that return types with arguments of type Classifier
 java.util.Map<Classifier,com.rapidminer.operator.meta.ParameterSet> Evaluator.evaluate(java.lang.Iterable<Classifier> classifiers, com.rapidminer.example.Example queryMetaFeatures, KnowledgeBase knowledgeBase, com.rapidminer.example.ExampleSet dataset, int nThreads)
           
 java.util.Map<Classifier,com.rapidminer.operator.meta.ParameterSet> Evaluator.evaluate(java.lang.Iterable<Classifier> classifiers, com.rapidminer.example.Example queryMetaFeatures, KnowledgeBase knowledgeBase, com.rapidminer.example.ExampleSet dataset, int nThreads, Evaluator.EvaluationListener evaluationListener)
          evaluates a set of classifier on one dataset
 

Methods in de.dfki.madm.mlwizard.functionality with parameters of type Classifier
static com.rapidminer.Process SystemConstructor.createProcess(Classifier classifier, com.rapidminer.operator.meta.ParameterSet parameterSet, java.lang.String datasetLocation)
           
static com.rapidminer.Process SystemConstructor.createProcess(Classifier classifier, com.rapidminer.operator.meta.ParameterSet parameterSet, java.lang.String datasetLocation, boolean xrff)
          creates a complete process of creating a classification model for the given classifier, parameter set and dataset
static double Regressioner.predict(Classifier classifier, com.rapidminer.example.ExampleSet metaFeatures)
          predict the accuracy for a given classifier and meta-features
 

Method parameters in de.dfki.madm.mlwizard.functionality with type arguments of type Classifier
 java.util.Map<Classifier,com.rapidminer.operator.meta.ParameterSet> Evaluator.evaluate(java.lang.Iterable<Classifier> classifiers, com.rapidminer.example.Example queryMetaFeatures, KnowledgeBase knowledgeBase, com.rapidminer.example.ExampleSet dataset, int nThreads)
           
 java.util.Map<Classifier,com.rapidminer.operator.meta.ParameterSet> Evaluator.evaluate(java.lang.Iterable<Classifier> classifiers, com.rapidminer.example.Example queryMetaFeatures, KnowledgeBase knowledgeBase, com.rapidminer.example.ExampleSet dataset, int nThreads, Evaluator.EvaluationListener evaluationListener)
          evaluates a set of classifier on one dataset
 

Constructors in de.dfki.madm.mlwizard.functionality with parameters of type Classifier
Evaluator.EvaluateSwingThread(Classifier classifier, com.rapidminer.Process process)
           
 



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