public class C45ModelSelection extends ModelSelection
| Constructor and Description |
|---|
C45ModelSelection(int minNoObj,
Instances allData,
boolean useMDLcorrection)
Initializes the split selection method with the given parameters.
|
| Modifier and Type | Method and Description |
|---|---|
void |
cleanup()
Sets reference to training data to null.
|
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.
|
public C45ModelSelection(int minNoObj,
Instances allData,
boolean useMDLcorrection)
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).useMDLcorrection - whether to use MDL adjustement when
finding splits on numeric attributespublic void cleanup()
public final ClassifierSplitModel selectModel(Instances data)
selectModel in class ModelSelectionpublic final ClassifierSplitModel selectModel(Instances train, Instances test)
selectModel in class ModelSelectionpublic String getRevision()
Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.