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#Class implementing a Classification Algorithm
#Implements the CFKNN-C KEEL classification algorithm
CFKNN_C <- function(train, test, k=3, alpha=0.6, seed=-1){
alg <- RKEEL::R6_CFKNN_C$new()
alg$setParameters(train, test, k, alpha, seed)
return (alg)
}
R6_CFKNN_C <- R6::R6Class("R6_CFKNN_C",
inherit = ClassificationAlgorithm,
public = list(
#Public properties
#k
k = 3,
#alpha
alpha = 0.6,
#seed
seed = -1,
#Public functions
#Initialize function
setParameters = function(train, test, k=3, alpha=0.6, seed=-1){
super$setParameters(train, test)
self$k <- k
self$alpha <- alpha
if(seed == -1) {
self$seed <- sample(1:1000000, 1)
}
else {
self$seed <- seed
}
}
),
private = list(
#Private properties
#jar Filename
jarName = "CFKNN.jar",
#algorithm name
algorithmName = "CFKNN-C",
#String with algorithm name
algorithmString = "Condensed Fuzzy K Nearest Neighbors Classifier",
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
text <- paste0(text, "seed = ", self$seed, "\n")
text <- paste0(text, "K Value = ", self$k, "\n")
text <- paste0(text, "Alpha = ", self$alpha, "\n")
return(text)
}
)
)
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