Nothing
#Class implementing a Preprocess Algorithm
#Implements the SSGA-Integer-knn-FS KEEL preprocess algorithm
SSGA_Integer_knn_FS <- function(train, test, paramKNN=1, nEval=5000, pop_size=100, numFeatures=3, seed=-1){
alg <- RKEEL::R6_SSGA_Integer_knn_FS$new()
alg$setParameters(train, test, paramKNN, nEval, pop_size, numFeatures, seed)
return (alg)
}
R6_SSGA_Integer_knn_FS <- R6::R6Class("R6_SSGA_Integer_knn_FS",
inherit = PreprocessAlgorithm,
public = list(
#Public properties
#paramKNN
paramKNN = 1,
#Number of evaluations
nEval = 5000,
#Population size
pop_size = 100,
#Number of features
numFeatures = 3,
#seed
seed = -1,
#Public functions
#Initialize function
setParameters = function(train, test, paramKNN=1, nEval=5000, pop_size=100,
numFeatures=3, seed=-1){
super$setParameters(train, test)
self$paramKNN <- paramKNN
self$pop_size <- pop_size
self$nEval <- nEval
self$numFeatures <- numFeatures
if(seed == -1) {
self$seed <- sample(1:1000000, 1)
}
else {
self$seed <- seed
}
}
),
private = list(
#Private properties
#jar Filename
jarName = "FS-SSGA-Integer-knn.jar",
#algorithm name
algorithmName = "SSGA-Integer-knn-FS",
#String with algorithm name
algorithmString = "Steady-state GA with integer coding scheme for wrapper feature selection with k-nn",
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
text <- paste0(text, "seed = ", self$seed, "\n")
text <- paste0(text, "paramKNN = ", self$paramKNN, "\n")
text <- paste0(text, "nEval = ", self$nEval, "\n")
text <- paste0(text, "popLength = ", self$pop_size, "\n")
text <- paste0(text, "numberOfFeatures = ", self$numFeatures, "\n")
return(text)
}
)
)
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