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java.lang.Objectweka.classifiers.trees.j48.ModelSelection
weka.classifiers.trees.lmt.ResidualModelSelection
Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals.
Field Summary | |
protected double |
m_minInfoGain
Minimum information gain for split |
protected int |
m_minNumInstances
Minimum number of instances for leaves |
Constructor Summary | |
ResidualModelSelection(int minNumInstances)
Constructor to create ResidualModelSelection object. |
Method Summary | |
void |
cleanup()
Method not in use |
ClassifierSplitModel |
selectModel(Instances train)
Method not in use |
ClassifierSplitModel |
selectModel(Instances data,
double[][] dataZs,
double[][] dataWs)
Selects split based on residuals for the given dataset. |
ClassifierSplitModel |
selectModel(Instances train,
Instances test)
Method not in use |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
protected int m_minNumInstances
protected double m_minInfoGain
Constructor Detail |
public ResidualModelSelection(int minNumInstances)
minNumInstances
- minimum number of instances for leavesMethod Detail |
public void cleanup()
public final ClassifierSplitModel selectModel(Instances data, double[][] dataZs, double[][] dataWs) throws java.lang.Exception
java.lang.Exception
public final ClassifierSplitModel selectModel(Instances train)
selectModel
in class ModelSelection
public final ClassifierSplitModel selectModel(Instances train, Instances test)
selectModel
in class ModelSelection
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