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java.lang.Objectweka.classifiers.trees.j48.ModelSelection
weka.classifiers.trees.j48.BinC45ModelSelection
public class BinC45ModelSelection
Class for selecting a C4.5-like binary (!) split for a given dataset.
Constructor Summary | |
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BinC45ModelSelection(int minNoObj,
Instances allData)
Initializes the split selection method with the given parameters. |
Method Summary | |
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void |
cleanup()
Sets reference to training data to null. |
java.lang.String |
getRevision()
Returns the revision string. |
ClassifierSplitModel |
selectModel(Instances data)
Selects C4.5-type split for the given dataset. |
ClassifierSplitModel |
selectModel(Instances train,
Instances test)
Selects C4.5-type split for the given dataset. |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public BinC45ModelSelection(int minNoObj, Instances allData)
minNoObj
- minimum number of instances that have to occur in
at least two subsets induced by splitallData
- FULL training dataset (necessary for selection of
split points).Method Detail |
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public void cleanup()
public final ClassifierSplitModel selectModel(Instances data)
selectModel
in class ModelSelection
public final ClassifierSplitModel selectModel(Instances train, Instances test)
selectModel
in class ModelSelection
public java.lang.String getRevision()
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