C D E I L M N O P R S T V 

C

cardinality(int, int) - Static method in class lpll.lplist
Returns the cardinality for the given set (disorderly drawing without lay back)
cIndexWithAbstention(Instances) - Static method in class lpll.Cross_Validation
Computes the C-Index for the given, ranked data-set (considering abstention/ties)
classInfEntropy(double[], Instances) - Static method in class lpll.lplist
Compute the class information entropy for the resulting partition based on the cutting points
classValsDist(Instances) - Static method in class lpll.Cross_Validation
Returns the distinct values of the class attribute in the set and their respective occurrence
combinations(int, int) - Static method in class lpll.lplist
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
Compares the two given array values to the instance w.r.t. the given attributes
computeErrors(Instances, int) - Method in class lpll.lplist
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
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
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
Returns a copy of the given instance
createLPS_lookahead(Instances, Instances, int, int, int, double[]) - Method in class lpll.lplist
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
Greedy algorithm for identifying and creating the lp-structure based on the given data
Cross_Validation - Class in lpll
 
Cross_Validation() - Constructor for class lpll.Cross_Validation
 
cutPoints(int, Instances, boolean, int) - Static method in class lpll.lplist
Computes the cutting points for the given data set according to Fayyad & Irani extended to a set of pairwise preferences/instances
C D E I L M N O P R S T V