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Packages that use Regressioner.RegressionResult | |
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de.dfki.madm.mlwizard.cli | |
de.dfki.madm.mlwizard.functionality | |
de.dfki.madm.mlwizard.gui |
Uses of Regressioner.RegressionResult in de.dfki.madm.mlwizard.cli |
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Methods in de.dfki.madm.mlwizard.cli that return Regressioner.RegressionResult | |
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static Regressioner.RegressionResult |
CommandLineInterface.recommend(com.rapidminer.example.ExampleSet dataset,
KnowledgeBase knowledgeBase,
java.io.PrintStream outStream)
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Methods in de.dfki.madm.mlwizard.cli with parameters of type Regressioner.RegressionResult | |
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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 Regressioner.RegressionResult in de.dfki.madm.mlwizard.functionality |
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Methods in de.dfki.madm.mlwizard.functionality that return Regressioner.RegressionResult | |
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static Regressioner.RegressionResult |
Regressioner.predict(KnowledgeBase knowledgeBase,
com.rapidminer.example.ExampleSet dataset)
predicts the accuracies of all classifiers for one dataset |
Uses of Regressioner.RegressionResult in de.dfki.madm.mlwizard.gui |
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Methods in de.dfki.madm.mlwizard.gui that return Regressioner.RegressionResult | |
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Regressioner.RegressionResult |
RegressionTableModel.getRegressionResult()
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Constructors in de.dfki.madm.mlwizard.gui with parameters of type Regressioner.RegressionResult | |
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EvaluateTableModel(Regressioner.RegressionResult regressionResult,
javax.swing.JTable table,
java.util.HashMap<java.lang.String,java.lang.Boolean> evaluate,
Evaluator evaluator)
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RegressionTableModel(Regressioner.RegressionResult result)
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