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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.j48.
C45PruneableClassifierTreeG
Returns default capabilities of the classifier tree.
getCapabilities()
- Method in class weka.classifiers.trees.
J48graft
Returns default capabilities of the classifier.
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
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