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#Class implementing a Classification Algorithm
#Implements the VWFuzzyKNN-C KEEL classification algorithm
VWFuzzyKNN_C <- function(train, test, k=3, init_k=3){
alg <- RKEEL::R6_VWFuzzyKNN_C$new()
alg$setParameters(train, test, k, init_k)
return (alg)
}
R6_VWFuzzyKNN_C <- R6::R6Class("R6_VWFuzzyKNN_C",
inherit = ClassificationAlgorithm,
public = list(
#Public properties
#k
k = 3,
#k value (init)
init_k = 3,
#Public functions
#Initialize function
setParameters = function(train, test, k=3, init_k=3){
super$setParameters(train, test)
self$k <- k
self$init_k <- init_k
}
),
private = list(
#Private properties
#jar Filename
jarName = "VWFuzzyKNN.jar",
#algorithm name
algorithmName = "VWFuzzyKNN-C",
#String with algorithm name
algorithmString = "Variance Weighted Fuzzy K Nearest Neighbors Classifier",
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
text <- paste0(text, "K Value = ", self$k, "\n")
text <- paste0(text, "k Value (init) = ", self$init_k, "\n")
return(text)
}
)
)
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