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#Class implementing a Classification Algorithm
#Implements the NM-C KEEL classification algorithm
NM_C <- function(train, test){
alg <- RKEEL::R6_NM_C$new()
alg$setParameters(train, test)
return (alg)
}
R6_NM_C <- R6::R6Class("R6_NM_C",
inherit = ClassificationAlgorithm,
public = list(
#Public properties
#Public functions
#Initialize function
setParameters = function(train, test){
super$setParameters(train, test)
}
),
private = list(
#Private properties
#jar Filename
jarName = "NM.jar",
#algorithm name
algorithmName = "NM-C",
#String with algorithm name
algorithmString = "Nearest Mean Classifier",
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
return(text)
}
)
)
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