weka.classifiers.trees.j48

Class NBTreeModelSelection

java.lang.Object

weka.classifiers.trees.j48.ModelSelection

weka.classifiers.trees.j48.NBTreeModelSelection

All Implemented Interfaces:

java.io.Serializable, RevisionHandler

public class NBTreeModelSelection
extends ModelSelection

Class for selecting a NB tree split.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NBTreeModelSelection(int minNoObj, Instances allData) Initializes the split selection method with the given parameters.

Method Summary

Modifier and Type	Method and Description
void	cleanup() Sets reference to training data to null.
java.lang.String	getRevision() Returns the revision string.
ClassifierSplitModel	selectModel(Instances data) Selects NBTree-type split for the given dataset.
ClassifierSplitModel	selectModel(Instances train, Instances test) Selects NBTree-type split for the given dataset.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NBTreeModelSelection

public NBTreeModelSelection(int minNoObj,
                            Instances allData)

Initializes the split selection method with the given parameters.

Parameters:

minNoObj - minimum number of instances that have to occur in at least two subsets induced by split

allData - FULL training dataset (necessary for selection of split points).

Method Detail

cleanup

public void cleanup()

Sets reference to training data to null.

selectModel

public final ClassifierSplitModel selectModel(Instances data)

Selects NBTree-type split for the given dataset.

Specified by:

selectModel in class ModelSelection

selectModel

public final ClassifierSplitModel selectModel(Instances train,
                                              Instances test)

Selects NBTree-type split for the given dataset.

Overrides:

selectModel in class ModelSelection

getRevision

public java.lang.String getRevision()

Returns the revision string.

Returns:

the revision