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java.lang.Objectweka.classifiers.trees.j48.ModelSelection
weka.classifiers.trees.j48.NBTreeModelSelection
public class NBTreeModelSelection
Class for selecting a NB tree split.
| Constructor Summary | |
|---|---|
NBTreeModelSelection(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 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 |
|---|
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).| 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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