Uses of Class
weka.classifiers.functions.SimpleLinearRegression

Packages that use SimpleLinearRegression

weka.classifiers.trees.lmt

Uses of SimpleLinearRegression in weka.classifiers.trees.lmt

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

protected SimpleLinearRegression[][]	LMTNode.m_higherRegressions Simple regression functions fit by LogitBoost at higher levels in the tree
protected SimpleLinearRegression[][]	LogisticBase.m_regressions Array holding the simple regression functions fit by LogitBoost

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

protected SimpleLinearRegression[][]	LMTNode.mergeArrays(SimpleLinearRegression[][] a1, SimpleLinearRegression[][] a2) Merges two arrays of regression functions into one
protected SimpleLinearRegression[][]	LogisticBase.initRegressions() Helper function to initialize m_regressions.
protected SimpleLinearRegression[][]	LogisticBase.selectRegressions(SimpleLinearRegression[][] classifiers) Helper function for cutting back m_regressions to the set of classifiers (corresponsing to the number of LogitBoost iterations) that gave the smallest error.

Methods in weka.classifiers.trees.lmt with parameters of type SimpleLinearRegression

void	LMTNode.buildTree(Instances data, SimpleLinearRegression[][] higherRegressions, double totalInstanceWeight) Method for building the tree structure.
protected SimpleLinearRegression[][]	LMTNode.mergeArrays(SimpleLinearRegression[][] a1, SimpleLinearRegression[][] a2) Merges two arrays of regression functions into one
protected SimpleLinearRegression[][]	LogisticBase.selectRegressions(SimpleLinearRegression[][] classifiers) Helper function for cutting back m_regressions to the set of classifiers (corresponsing to the number of LogitBoost iterations) that gave the smallest error.