- 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