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selectModel(Instances) - Method in class weka.classifiers.trees.jchaid.CHAIDModelSelection
Selects CHAID-type split for the given dataset.
selectModel(Instances) - Method in class weka.classifiers.trees.jchaidstar.CHAIDStarModelSelection
Selects CHAID*-type split for the given dataset.
serialVersionUID - Static variable in class weka.classifiers.trees.jchaid.CHAIDClassifierTree
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.jchaid.CHAIDDistribution
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.jchaid.CHAIDModelSelection
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.jchaid.CHAIDSplit
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.jchaid.ChiSquareSplitCrit
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.JCHAID
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.jchaidstar.CHAIDStarClassifierTree
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.jchaidstar.CHAIDStarModelSelection
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.jchaidstar.CHAIDStarSplit
for serialization
serialVersionUID - Static variable in class weka.classifiers.trees.JCHAIDStar
for serialization
setBinarySplits(boolean) - Method in class weka.classifiers.trees.JCHAID
Set the value of binarySplits.
setCHminNumObjSplit(int) - Method in class weka.classifiers.trees.JCHAID
Sets the value of m_CHminNumObjSplit.
setCHordinalAttributeIndices(String) - Method in class weka.classifiers.trees.JCHAID
Sets which attributes are to be considered as ordinal
setCHsearchBestSplit(boolean) - Method in class weka.classifiers.trees.JCHAID
Sets the value of m_CHsearchBestSplit.
setCHsigLevelAtt(double) - Method in class weka.classifiers.trees.JCHAID
Sets the value of m_CHsigLevelAtt.
setCHsigLevelMergeSplit(double) - Method in class weka.classifiers.trees.JCHAID
Sets the value of m_CHsigLevelMergeSplit.
setHasMissingValues() - Method in class weka.classifiers.trees.jchaid.CHAIDDistribution
Sets m_hasMissingValues true
setNumFolds(int) - Method in class weka.classifiers.trees.JCHAID
Set the value of numFolds.
setOptions(String[]) - Method in class weka.classifiers.trees.JCHAID
Parses a given list of options.
setReducedErrorPruning(boolean) - Method in class weka.classifiers.trees.JCHAID
Set the value of reducedErrorPruning.
setSplitPoint(Instances) - Method in class weka.classifiers.trees.jchaidstar.CHAIDStarSplit
Sets split point to greatest value in given data smaller or equal to old split point.
setUseMDLcorrection(boolean) - Method in class weka.classifiers.trees.JCHAID
Set the value of useMDLcorrection.
son(int) - Method in class weka.classifiers.trees.jchaid.CHAIDClassifierTree
Method just exists to make program easier to read.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.jchaid.CHAIDSplit
Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.jchaidstar.CHAIDStarSplit
Returns a string containing java source code equivalent to the test made at this node.
split(Instances) - Method in class weka.classifiers.trees.jchaid.CHAIDSplit
Splits the given set of instances into subsets.
splitCategories(int, int[], int, int) - Method in class weka.classifiers.trees.jchaid.CHAIDDistribution
Splits the given bag by mergedBagIndex according to the best split computed
splitCritValue(Distribution) - Method in class weka.classifiers.trees.jchaid.ChiSquareSplitCrit
Computes chi-squared probability for given distribution.
splitCritValue(double, double) - Method in class weka.classifiers.trees.jchaid.ChiSquareSplitCrit
Computes chi-squared probability for given ch statistic and dg degrees of freedom.
splitIndicators(int, int[], int, int) - Method in class weka.classifiers.trees.jchaid.CHAIDDistribution
Updates membership indicators after splitting the given bag by mergedBagIndex according to the best split computed
splitLargeGroups(int) - Method in class weka.classifiers.trees.jchaid.CHAIDDistribution
Finds the most significant binary split of the just merged bag (Step 3), if compound category consisting of three or more // In some implementations this step is optional: // http://www-01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/alg_tree-chaid_algorithm_merging.htm
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