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#Class implementing an Association Rules Algorithm
#Implements the GeneticFuzzyAprioriDC_A KEEL association rules algorithm
#Author: Oliver Sanchez
GeneticFuzzyAprioriDC_A <- function(dat, seed=1286082570,NumberofEvaluations=10000,PopulationSize=50,ProbabilityofMutation=0.01,ProbabilityofCrossover=0.8,ParameterdforMMACrossover=0.35,NumberofFuzzyRegionsforNumericAttributes=3,UseMaxOperatorfor1FrequentItemsets="false",MinimumSupport=0.1,MinimumConfidence=0.8){
alg <- RKEEL::R6_GeneticFuzzyAprioriDC_A$new()
alg$setParameters(dat,seed,NumberofEvaluations,PopulationSize,ProbabilityofMutation,ProbabilityofCrossover,ParameterdforMMACrossover,NumberofFuzzyRegionsforNumericAttributes,UseMaxOperatorfor1FrequentItemsets,MinimumSupport,MinimumConfidence)
return (alg)
}
R6_GeneticFuzzyAprioriDC_A <- R6::R6Class("R6_GeneticFuzzyAprioriDC_A",
inherit = AssociationRulesAlgorithm,
public = list(
#Public properties
#pruned
#pruned = TRUE,
#confidence
#confidence = 0.25,
#instances per leaf
#instancesPerLeaf = 2,
seed=1286082570,
NumberofEvaluations=10000,
PopulationSize=50,
ProbabilityofMutation=0.01,
ProbabilityofCrossover=0.8,
ParameterdforMMACrossover=0.35,
NumberofFuzzyRegionsforNumericAttributes=3,
UseMaxOperatorfor1FrequentItemsets="false",
MinimumSupport=0.1,
MinimumConfidence=0.8,
#Public functions
#Initialize function
setParameters = function(dat, seed=1286082570,NumberofEvaluations=10000,PopulationSize=50,ProbabilityofMutation=0.01,ProbabilityofCrossover=0.8,ParameterdforMMACrossover=0.35,NumberofFuzzyRegionsforNumericAttributes=3,UseMaxOperatorfor1FrequentItemsets="false",MinimumSupport=0.1,MinimumConfidence=0.8){
super$setParameters(dat)
self$seed <- seed
self$NumberofEvaluations <- NumberofEvaluations
self$PopulationSize <- PopulationSize
self$ProbabilityofMutation <- ProbabilityofMutation
self$ProbabilityofCrossover <- ProbabilityofCrossover
self$ParameterdforMMACrossover <- ParameterdforMMACrossover
self$NumberofFuzzyRegionsforNumericAttributes <- NumberofFuzzyRegionsforNumericAttributes
self$UseMaxOperatorfor1FrequentItemsets <- UseMaxOperatorfor1FrequentItemsets
self$MinimumSupport <- MinimumSupport
self$MinimumConfidence <- MinimumConfidence
}
),
private = list(
#Private properties
#jar Filename
jarName = "GeneticFuzzyAprioriDC.jar",
#algorithm name
algorithmName = "GeneticFuzzyAprioriDC_A",
#String with algorithm name
algorithmString = "GeneticFuzzyAprioriDC_A",
algorithmOutputNumTxt = 2,
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
text <- paste0(text, "seed = ", self$seed, "\n")
text <- paste0(text, "Number of Evaluations = ", self$NumberofEvaluations, "\n")
text <- paste0(text, "Population Size = ", self$PopulationSize, "\n")
text <- paste0(text, "Probability of Mutation = ", self$ProbabilityofMutation, "\n")
text <- paste0(text, "Probability of Crossover = ", self$ProbabilityofCrossover, "\n")
text <- paste0(text, "Parameter d for MMA Crossover = ", self$ParameterdforMMACrossover, "\n")
text <- paste0(text, "Number of Fuzzy Regions for Numeric Attributes = ", self$NumberofFuzzyRegionsforNumericAttributes, "\n")
text <- paste0(text, "Use Max Operator for 1-Frequent Itemsets = ", self$UseMaxOperatorfor1FrequentItemsets, "\n")
text <- paste0(text, "Minimum Support = ", self$MinimumSupport, "\n")
text <- paste0(text, "Minimum Confidence = ", self$MinimumConfidence, "\n")
return(text)
}
)
)
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