- cardinality(int, int) - Static method in class lpll.lplist
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Returns the cardinality for the given set (disorderly drawing without lay back)
- cIndexWithAbstention(Instances) - Static method in class lpll.Cross_Validation
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Computes the C-Index for the given, ranked data-set (considering abstention/ties)
- classInfEntropy(double[], Instances) - Static method in class lpll.lplist
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Compute the class information entropy for the resulting partition based on the cutting points
- classValsDist(Instances) - Static method in class lpll.Cross_Validation
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Returns the distinct values of the class attribute in the set and their respective occurrence
- combinations(int, int) - Static method in class lpll.lplist
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Returns the set of all possible combinations for the given number of attributes and max grouping size
- compare(int[], int[], int[], Instance) - Static method in class lpll.lplist
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Compares the two given array values to the instance w.r.t. the given attributes
- computeErrors(Instances, int) - Method in class lpll.lplist
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Returns the number of wrong predictions by applying the rules of the given stage on the data set provided
- computeErrorsExt(Instances) - Method in class lpll.lplist
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Returns the number of wrong predictions by applying the entire lp-list on the given dataset
- computeNodeErrors(Instances, int[], int[][]) - Method in class lpll.lplist
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Returns the number of wrong predictions by applying the given attributes and preferences to the data
- copyInst(Instance) - Static method in class lpll.Cross_Validation
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Returns a copy of the given instance
- createLPS_lookahead(Instances, Instances, int, int, int, double[]) - Method in class lpll.lplist
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Greedy algorithm for identifying and creating the lp-structure based on the given data
Lookahead feature to identify attributes to be grouped together
- createLPStructure(Instances, int, int) - Method in class lpll.lplist
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Greedy algorithm for identifying and creating the lp-structure based on the given data
- Cross_Validation - Class in lpll
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- Cross_Validation() - Constructor for class lpll.Cross_Validation
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- cutPoints(int, Instances, boolean, int) - Static method in class lpll.lplist
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Computes the cutting points for the given data set according to Fayyad & Irani extended to a set of pairwise preferences/instances