Package | Description |
---|---|
weka.classifiers.trees.ft | |
weka.classifiers.trees.lmt |
Modifier and Type | Field and Description |
---|---|
protected SimpleLinearRegression[][] |
FTtree.m_higherRegressions
Simple regression functions fit by LogitBoost at higher levels in the tree
|
Modifier and Type | Method and Description |
---|---|
protected SimpleLinearRegression[][] |
FTtree.mergeArrays(SimpleLinearRegression[][] a1,
SimpleLinearRegression[][] a2)
Merges two arrays of regression functions into one
|
Modifier and Type | Method and Description |
---|---|
abstract void |
FTtree.buildTree(Instances data,
SimpleLinearRegression[][] higherRegressions,
double totalInstanceWeight,
double higherNumParameters)
Abstract method for building the tree structure.
|
void |
FTNode.buildTree(Instances data,
SimpleLinearRegression[][] higherRegressions,
double totalInstanceWeight,
double higherNumParameters)
Method for building the tree structure.
|
void |
FTInnerNode.buildTree(Instances data,
SimpleLinearRegression[][] higherRegressions,
double totalInstanceWeight,
double higherNumParameters)
Method for building the tree structure.
|
void |
FTLeavesNode.buildTree(Instances data,
SimpleLinearRegression[][] higherRegressions,
double totalInstanceWeight,
double higherNumParameters)
Method for building the tree structure.
|
protected SimpleLinearRegression[][] |
FTtree.mergeArrays(SimpleLinearRegression[][] a1,
SimpleLinearRegression[][] a2)
Merges two arrays of regression functions into one
|
protected SimpleLinearRegression[][] |
FTtree.mergeArrays(SimpleLinearRegression[][] a1,
SimpleLinearRegression[][] a2)
Merges two arrays of regression functions into one
|
Modifier and Type | Field and Description |
---|---|
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
|
Modifier and Type | Method and Description |
---|---|
protected SimpleLinearRegression[][] |
LogisticBase.initRegressions()
Helper function to initialize m_regressions.
|
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.
|
Modifier and Type | Method and Description |
---|---|
void |
LMTNode.buildTree(Instances data,
SimpleLinearRegression[][] higherRegressions,
double totalInstanceWeight,
double higherNumParameters)
Method for building the tree structure.
|
protected SimpleLinearRegression[][] |
LMTNode.mergeArrays(SimpleLinearRegression[][] a1,
SimpleLinearRegression[][] a2)
Merges two arrays of regression functions into one
|
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.
|
Copyright © 2015 University of Waikato, Hamilton, NZ. All rights reserved.