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