de.dfki.madm.mlwizard.landmarking
Class DecisionNodeLm

java.lang.Object
  extended by de.dfki.madm.mlwizard.landmarking.AbstractLandmarker
      extended by de.dfki.madm.mlwizard.landmarking.DecisionNodeLm

public class DecisionNodeLm
extends AbstractLandmarker

This landmark learner is a DecisionStumpLearner, where a single decision node is chosen according to the highest gain ratio.

Author:
Sarah Daniel

Field Summary
 
Fields inherited from class de.dfki.madm.mlwizard.landmarking.AbstractLandmarker
name, PARAMETER_PERFORMANCE_ACCURACY, performance
 
Constructor Summary
DecisionNodeLm(com.rapidminer.example.ExampleSet exampleSet, java.util.Map<java.lang.String,java.lang.String> parameters)
           
 
Method Summary
 
Methods inherited from class de.dfki.madm.mlwizard.landmarking.AbstractLandmarker
getAccuracy, getName, getPerformanceCriterion, getPerformanceValues, getPerformanceVector, learn, learnExampleSet, normalizeExampleSet, xValidation
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

DecisionNodeLm

public DecisionNodeLm(com.rapidminer.example.ExampleSet exampleSet,
                      java.util.Map<java.lang.String,java.lang.String> parameters)
               throws com.rapidminer.operator.OperatorException,
                      com.rapidminer.operator.OperatorCreationException
Throws:
com.rapidminer.operator.OperatorException
com.rapidminer.operator.OperatorCreationException


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