weka.classifiers.trees.j48
Class BinC45ModelSelection

java.lang.Object
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  +--weka.classifiers.trees.j48.ModelSelection
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        +--weka.classifiers.trees.j48.BinC45ModelSelection

All Implemented Interfaces:

java.io.Serializable

public class BinC45ModelSelection

extends ModelSelection

Class for selecting a C4.5-like binary (!) split for a given dataset.

Version:

$Revision: 1.7 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

BinC45ModelSelection(int minNoObj, Instances allData)
Initializes the split selection method with the given parameters.

Method Summary

void	cleanup() Sets reference to training data to null.
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

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

Constructor Detail

BinC45ModelSelection

public BinC45ModelSelection(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 C4.5-type split for the given dataset.

Specified by:

selectModel in class ModelSelection

selectModel

public final ClassifierSplitModel selectModel(Instances train,
                                              Instances test)

Selects C4.5-type split for the given dataset.

Overrides:

selectModel in class ModelSelection