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Packages that use Classifier | |
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de.dfki.madm.mlwizard | |
de.dfki.madm.mlwizard.cli | |
de.dfki.madm.mlwizard.functionality |
Uses of Classifier in de.dfki.madm.mlwizard |
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Methods in de.dfki.madm.mlwizard that return Classifier | |
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Classifier |
KnowledgeBase.getClassifier(java.lang.String name)
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Methods in de.dfki.madm.mlwizard that return types with arguments of type Classifier | |
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java.util.Collection<Classifier> |
KnowledgeBase.getClassifiers()
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Methods in de.dfki.madm.mlwizard with parameters of type Classifier | |
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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 | |
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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)
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KnowledgeBase.LearningThread(Classifier classifier,
KnowledgeBase knowledgeBase,
boolean evaluate)
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Uses of Classifier in de.dfki.madm.mlwizard.cli |
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Methods in de.dfki.madm.mlwizard.cli that return types with arguments of type Classifier | |
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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)
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Methods in de.dfki.madm.mlwizard.cli with parameters of type Classifier | |
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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)
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Method parameters in de.dfki.madm.mlwizard.cli with type arguments of type Classifier | |
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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)
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Uses of Classifier in de.dfki.madm.mlwizard.functionality |
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Fields in de.dfki.madm.mlwizard.functionality with type parameters of type Classifier | |
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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 | |
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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)
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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 | |
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static com.rapidminer.Process |
SystemConstructor.createProcess(Classifier classifier,
com.rapidminer.operator.meta.ParameterSet parameterSet,
java.lang.String datasetLocation)
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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 | |
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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)
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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 | |
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Evaluator.EvaluateSwingThread(Classifier classifier,
com.rapidminer.Process process)
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