de.dfki.madm.mlwizard.landmarking
Class KNNLearnerLm

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

public class KNNLearnerLm
extends AbstractLandmarker

This landmark learner uses the KNNLearner, where the k-value is by default 1 except it is changed by the user. The landmark values of the learner are determined using XValidation.

Author:
Sarah Daniel

Field Summary
 
Fields inherited from class de.dfki.madm.mlwizard.landmarking.AbstractLandmarker
name, PARAMETER_PERFORMANCE_ACCURACY, performance
 
Constructor Summary
KNNLearnerLm(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

KNNLearnerLm

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


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