de.dfki.madm.mlwizard.functionality
Class Regressioner

java.lang.Object
  extended by de.dfki.madm.mlwizard.functionality.Regressioner

public class Regressioner
extends java.lang.Object


Nested Class Summary
static class Regressioner.RegressionResult
           
 
Constructor Summary
Regressioner()
           
 
Method Summary
static double predict(Classifier classifier, com.rapidminer.example.ExampleSet metaFeatures)
          predict the accuracy for a given classifier and meta-features
static Regressioner.RegressionResult predict(KnowledgeBase knowledgeBase, com.rapidminer.example.ExampleSet dataset)
          predicts the accuracies of all classifiers for one dataset
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Regressioner

public Regressioner()
Method Detail

predict

public static double predict(Classifier classifier,
                             com.rapidminer.example.ExampleSet metaFeatures)
                      throws com.rapidminer.operator.OperatorCreationException,
                             com.rapidminer.operator.OperatorException
predict the accuracy for a given classifier and meta-features

Parameters:
classifier - the classifier which accuracy should be predicted
metaFeatures - the meta-features of the dataset which accuracy of the classifier should be predicted
Returns:
the predicted accuracy
Throws:
com.rapidminer.operator.OperatorCreationException
com.rapidminer.operator.OperatorException

predict

public static Regressioner.RegressionResult predict(KnowledgeBase knowledgeBase,
                                                    com.rapidminer.example.ExampleSet dataset)
                                             throws com.rapidminer.operator.OperatorCreationException,
                                                    com.rapidminer.operator.OperatorException
predicts the accuracies of all classifiers for one dataset

Parameters:
knowledgeBase - the knowledge base containing the classifiers
dataset - the dataset whose accuracy should be predicted
Returns:
all predicted accuracies
Throws:
com.rapidminer.operator.OperatorCreationException
com.rapidminer.operator.OperatorException


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