Uses of Class
weka.classifiers.trees.j48.ClassifierSplitModel

Packages that use ClassifierSplitModel

weka.classifiers.rules.part
weka.classifiers.trees.j48
weka.classifiers.trees.lmt

Uses of ClassifierSplitModel in weka.classifiers.rules.part

Fields in weka.classifiers.rules.part declared as ClassifierSplitModel

protected ClassifierSplitModel

ClassifierDecList.m_localModel Local model at node.

Methods in weka.classifiers.rules.part that return ClassifierSplitModel

protected ClassifierSplitModel

ClassifierDecList.localModel() Method just exists to make program easier to read.

Uses of ClassifierSplitModel in weka.classifiers.trees.j48

Subclasses of ClassifierSplitModel in weka.classifiers.trees.j48

class	BinC45Split Class implementing a binary C4.5-like split on an attribute.
class	C45Split Class implementing a C4.5-type split on an attribute.
class	NoSplit Class implementing a "no-split"-split.

Fields in weka.classifiers.trees.j48 declared as ClassifierSplitModel

protected ClassifierSplitModel

ClassifierTree.m_localModel Local model at node.

Methods in weka.classifiers.trees.j48 that return ClassifierSplitModel

ClassifierSplitModel	C45ModelSelection.selectModel(Instances data) Selects C4.5-type split for the given dataset.
ClassifierSplitModel	C45ModelSelection.selectModel(Instances train, Instances test) Selects C4.5-type split for the given dataset.
private ClassifierSplitModel	C45PruneableClassifierTree.localModel() Method just exists to make program easier to read.
abstract ClassifierSplitModel	ModelSelection.selectModel(Instances data) Selects a model for the given dataset.
ClassifierSplitModel	ModelSelection.selectModel(Instances train, Instances test) Selects a model for the given train data using the given test data
private ClassifierSplitModel	ClassifierTree.localModel() Method just exists to make program easier to read.
ClassifierSplitModel	BinC45ModelSelection.selectModel(Instances data) Selects C4.5-type split for the given dataset.
ClassifierSplitModel	BinC45ModelSelection.selectModel(Instances train, Instances test) Selects C4.5-type split for the given dataset.
private ClassifierSplitModel	PruneableClassifierTree.localModel() Method just exists to make program easier to read.

Constructors in weka.classifiers.trees.j48 with parameters of type ClassifierSplitModel

Distribution(Instances source, ClassifierSplitModel modelToUse)
Creates a distribution according to given instances and split model.

Uses of ClassifierSplitModel in weka.classifiers.trees.lmt

Subclasses of ClassifierSplitModel in weka.classifiers.trees.lmt

class

ResidualSplit Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals of the LogitBoost algorithm.

Fields in weka.classifiers.trees.lmt declared as ClassifierSplitModel

protected ClassifierSplitModel

LMTNode.m_localModel The ClassifierSplitModel (for splitting)

Methods in weka.classifiers.trees.lmt that return ClassifierSplitModel

ClassifierSplitModel	ResidualModelSelection.selectModel(Instances data, double[][] dataZs, double[][] dataWs) Selects split based on residuals for the given dataset.
ClassifierSplitModel	ResidualModelSelection.selectModel(Instances train) Method not in use
ClassifierSplitModel	ResidualModelSelection.selectModel(Instances train, Instances test) Method not in use