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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 | |
|---|---|
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. |
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 |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
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 |
|---|
public void cleanup()
public final ClassifierSplitModel selectModel(Instances data)
selectModel in class ModelSelection
public final ClassifierSplitModel selectModel(Instances train,
Instances test)
selectModel in class ModelSelectionpublic java.lang.String getRevision()
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