public class NBTreeModelSelection extends ModelSelection
Constructor and Description |
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NBTreeModelSelection(int minNoObj,
Instances allData)
Initializes the split selection method with the given parameters.
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Modifier and Type | Method and Description |
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void |
cleanup()
Sets reference to training data to null.
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java.lang.String |
getRevision()
Returns the revision string.
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ClassifierSplitModel |
selectModel(Instances data)
Selects NBTree-type split for the given dataset.
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ClassifierSplitModel |
selectModel(Instances train,
Instances test)
Selects NBTree-type split for the given dataset.
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public NBTreeModelSelection(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).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()