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

Packages that use ClassifierSplitModel

Package	Description
weka.classifiers.trees.j48
weka.classifiers.trees.lmt

Uses of ClassifierSplitModel in weka.classifiers.trees.j48

Subclasses of ClassifierSplitModel in weka.classifiers.trees.j48

Modifier and Type	Class and Description
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	NBTreeNoSplit Class implementing a "no-split"-split (leaf node) for naive bayes trees.
class	NBTreeSplit Class implementing a NBTree split on an attribute.
class	NoSplit Class implementing a "no-split"-split.

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

Modifier and Type	Method and Description
ClassifierSplitModel	NBTreeModelSelection.selectModel(Instances data) Selects NBTree-type split for the given dataset.
abstract ClassifierSplitModel	ModelSelection.selectModel(Instances data) Selects a model for the given dataset.
ClassifierSplitModel	C45ModelSelection.selectModel(Instances data) Selects C4.5-type split for the given dataset.
ClassifierSplitModel	BinC45ModelSelection.selectModel(Instances data) Selects C4.5-type split for the given dataset.
ClassifierSplitModel	NBTreeModelSelection.selectModel(Instances train, Instances test) Selects NBTree-type split for the given dataset.
ClassifierSplitModel	ModelSelection.selectModel(Instances train, Instances test) Selects a model for the given train data using the given test data
ClassifierSplitModel	C45ModelSelection.selectModel(Instances train, Instances test) 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.

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

Constructor and Description
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

Modifier and Type	Class and Description
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.

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

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