A B C D E G J L M P R S T U W

A

attribute() - Method in class weka.classifiers.trees.j48.GraftSplit

B

binarySplitsTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

biprob(double, double, double) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Significance test

buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Method for building a pruneable classifier tree.

buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.GraftSplit

builds m_graftdistro using the passed data

buildClassifier(Instances) - Method in class weka.classifiers.trees.J48graft

Generates the classifier.

C

C45PruneableClassifierTreeG - Class in weka.classifiers.trees.j48

Class for handling a tree structure that can be pruned using C4.5 procedures and have nodes grafted on.

C45PruneableClassifierTreeG(ModelSelection, boolean, float, boolean, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Constructor for pruneable tree structure.

C45PruneableClassifierTreeG(ModelSelection, Instances, ClassifierSplitModel, boolean, float, boolean, boolean, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Constructor for pruneable tree structure.

classifyInstance(Instance) - Method in class weka.classifiers.trees.J48graft

Classifies an instance.

classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.GraftSplit

returns the probability for instance for the specified class

collapse() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Collapses a tree to a node if training error doesn't increase.

compareTo(Object) - Method in class weka.classifiers.trees.j48.GraftSplit

method needed for sorting a collection of GraftSplits by laplace value

confidenceFactorTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

D

deleteGraftedCases(Instances) - Method in class weka.classifiers.trees.j48.GraftSplit

deletes the cases in data that belong to leaf pointed to by the test (i.e.

distributionForInstance(Instance) - Method in class weka.classifiers.trees.J48graft

Returns class probabilities for an instance.

doGrafting(Instances) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Initializes variables for grafting.

dumpLabelG(int, Instances) - Method in class weka.classifiers.trees.j48.GraftSplit

Prints label for subset index of instances (eg class).

E

enumerateMeasures() - Method in class weka.classifiers.trees.J48graft

Returns an enumeration of the additional measure names

G

getBinarySplits() - Method in class weka.classifiers.trees.J48graft

Get the value of binarySplits.

getCapabilities() - Method in class weka.classifiers.trees.J48graft

Returns default capabilities of the classifier tree.

getConfidenceFactor() - Method in class weka.classifiers.trees.J48graft

Get the value of CF.

getLeaf() - Method in class weka.classifiers.trees.j48.GraftSplit

getMeasure(String) - Method in class weka.classifiers.trees.J48graft

Returns the value of the named measure

getMinNumObj() - Method in class weka.classifiers.trees.J48graft

Get the value of minNumObj.

getOptions() - Method in class weka.classifiers.trees.J48graft

Gets the current settings of the Classifier.

getOtherLeaf() - Method in class weka.classifiers.trees.j48.GraftSplit

getRelabel() - Method in class weka.classifiers.trees.J48graft

Get the value of relabelling

getRevision() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Returns the revision string.

getRevision() - Method in class weka.classifiers.trees.j48.GraftSplit

Returns the revision string.

getRevision() - Method in class weka.classifiers.trees.J48graft

Returns the revision string.

getSaveInstanceData() - Method in class weka.classifiers.trees.J48graft

Check whether instance data is to be saved.

getSubtreeRaising() - Method in class weka.classifiers.trees.J48graft

Get the value of subtreeRaising.

getTechnicalInformation() - Method in class weka.classifiers.trees.J48graft

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getUnpruned() - Method in class weka.classifiers.trees.J48graft

Get the value of unpruned.

getUseLaplace() - Method in class weka.classifiers.trees.J48graft

Get the value of useLaplace.

globalInfo() - Method in class weka.classifiers.trees.J48graft

Returns a string describing classifier

GraftSplit - Class in weka.classifiers.trees.j48

Class implementing a split for nodes added to a tree during grafting.

GraftSplit(int, double, int, double, double) - Constructor for class weka.classifiers.trees.j48.GraftSplit

constructor

GraftSplit(int, double, int, double, double[][]) - Constructor for class weka.classifiers.trees.j48.GraftSplit

constructor

graph() - Method in class weka.classifiers.trees.J48graft

Returns graph describing the tree.

graphType() - Method in class weka.classifiers.trees.J48graft

Returns the type of graph this classifier represents.

J

J48graft - Class in weka.classifiers.trees

Class for generating a grafted (pruned or unpruned) C4.5 decision tree.

J48graft() - Constructor for class weka.classifiers.trees.J48graft

L

laplaceForSubsetOfInterest() - Method in class weka.classifiers.trees.j48.GraftSplit

leftSide(Instances) - Method in class weka.classifiers.trees.j48.GraftSplit

Prints left side of condition satisfied by instances.

listOptions() - Method in class weka.classifiers.trees.J48graft

Returns an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.trees.J48graft

Main method for testing this class

maxClassForSubsetOfInterest() - Method in class weka.classifiers.trees.j48.GraftSplit

measureNumLeaves() - Method in class weka.classifiers.trees.J48graft

Returns the number of leaves

measureNumRules() - Method in class weka.classifiers.trees.J48graft

Returns the number of rules (same as number of leaves)

measureTreeSize() - Method in class weka.classifiers.trees.J48graft

Returns the size of the tree

minNumObjTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

P

positives(int) - Method in class weka.classifiers.trees.j48.GraftSplit

positivesForSubsetOfInterest() - Method in class weka.classifiers.trees.j48.GraftSplit

prefix() - Method in class weka.classifiers.trees.J48graft

Returns tree in prefix order.

prune() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Prunes a tree using C4.5's pruning procedure.

R

relabelTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.GraftSplit

Prints condition satisfied by instances in subset index.

S

saveInstanceDataTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

setBinarySplits(boolean) - Method in class weka.classifiers.trees.J48graft

Set the value of binarySplits.

setConfidenceFactor(float) - Method in class weka.classifiers.trees.J48graft

Set the value of CF.

setDescendents(ArrayList, C45PruneableClassifierTreeG) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

add the grafted nodes at originalLeaf's position in tree.

setMinNumObj(int) - Method in class weka.classifiers.trees.J48graft

Set the value of minNumObj.

setOptions(String[]) - Method in class weka.classifiers.trees.J48graft

Parses a given list of options.

setRelabel(boolean) - Method in class weka.classifiers.trees.J48graft

Set the value of relabelling.

setSaveInstanceData(boolean) - Method in class weka.classifiers.trees.J48graft

Set whether instance data is to be saved.

setSubtreeRaising(boolean) - Method in class weka.classifiers.trees.J48graft

Set the value of subtreeRaising.

setUnpruned(boolean) - Method in class weka.classifiers.trees.J48graft

Set the value of unpruned.

setUseLaplace(boolean) - Method in class weka.classifiers.trees.J48graft

Set the value of useLaplace.

sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.GraftSplit

Returns a string containing java source code equivalent to the test made at this node.

splitPoint() - Method in class weka.classifiers.trees.j48.GraftSplit

subsetOfInterest() - Method in class weka.classifiers.trees.j48.GraftSplit

subtreeRaisingTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

T

testType() - Method in class weka.classifiers.trees.j48.GraftSplit

returns the test type

toSource(String) - Method in class weka.classifiers.trees.J48graft

Returns tree as an if-then statement.

toString() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG

Prints tree structure.

toString(Instances) - Method in class weka.classifiers.trees.j48.GraftSplit

method for returning information about this GraftSplit

toString() - Method in class weka.classifiers.trees.J48graft

Returns a description of the classifier.

toSummaryString() - Method in class weka.classifiers.trees.J48graft

Returns a superconcise version of the model

totalForSubset(int) - Method in class weka.classifiers.trees.j48.GraftSplit

totalForSubsetOfInterest() - Method in class weka.classifiers.trees.j48.GraftSplit

U

unprunedTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

useLaplaceTipText() - Method in class weka.classifiers.trees.J48graft

Returns the tip text for this property

W

weights(Instance) - Method in class weka.classifiers.trees.j48.GraftSplit

weka.classifiers.trees - package weka.classifiers.trees

weka.classifiers.trees.j48 - package weka.classifiers.trees.j48

whichSubset(Instance) - Method in class weka.classifiers.trees.j48.GraftSplit

A B C D E G J L M P R S T U W