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#Class implementing a Classification Algorithm
#Implements the RBFN-C KEEL classification algorithm
RBFN_C <- function(train, test, neurons=50, seed=-1){
alg <- RKEEL::R6_RBFN_C$new()
alg$setParameters(train, test, neurons, seed)
return (alg)
}
R6_RBFN_C <- R6::R6Class("R6_RBFN_C",
inherit = ClassificationAlgorithm,
public = list(
#Public properties
#num of neurons
neurons = 50,
#seed
seed = -1,
#Public functions
#Initialize function
setParameters = function(train, test, neurons=50, seed=-1){
super$setParameters(train, test)
self$neurons <- neurons
if(seed == -1) {
self$seed <- sample(1:1000000, 1)
}
else {
self$seed <- seed
}
}
),
private = list(
#Private properties
#jar Filename
jarName = "RBFN_CL.jar",
#algorithm name
algorithmName = "RBFN-C",
#String with algorithm name
algorithmString = "Radial Basis Function Neural Network for Classification Problems",
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
text <- paste0(text, "seed = ", self$seed, "\n")
text <- paste0(text, "neurons = ", self$neurons, "\n")
return(text)
}
)
)
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