MoNGEL <- function(train,test,label_class = NULL, seed = NULL){
alg <- MoNGELR6$new()
alg$setParameters(train,test,label_class,seed)
alg$run()
return(alg$get_measures())
}
###OBJETO
MoNGELR6 <- R6::R6Class("MoNGEL",
inherit = monotonicAlgorithm,
public = list(
name = "MoNGEL",
jar = "MoNGEL.jar",
#Read parameters necessary
setParameters = function(train,test,label_class,seed){
if(is.null(label_class) || is.null(seed)){
private$remove_files_folder(file.path(private$filesPath,self$name))
stop(" Label_class or seed cannot be NULL",call. = FALSE)
}else{
private$generateDir(self$name)
#Create dataset train keel
path_train <- private$create_dataset(train,"dataset_monotonic-tra.dat",label_class,file.path(private$filesPath,self$name))
#Create dataset test keel
path_test <- private$create_dataset(test,"dataset_monotonic-test.dat",label_class,file.path(private$filesPath,self$name))
#Create config
private$create_config(path_train,path_test,file.path(private$filesPath,self$name),self$name)
if(!is.null(self$jar)){
private$insert_attributes(seed)
}
}
},
#Execute algorithm
run = function(){
if(!is.null(self$jar)){
#Download all jar from github
private$download_jar(self$name,paste0(self$name,".zip"))
#Execute algorithm
private$execute(file.path(private$downloadPath,self$name,self$jar),file.path(private$filesPath,self$name,private$configName))
}else{
private$remove_files_folder(file.path(private$filesPath,self$name))
stop("You need call setParameters function",call. = FALSE)
}
},
get_measures = function(){
output_json <- file.path(private$filesPath,self$name,"result0e0.json")
private$measures(output_json)
}
),
private = list(
insert_attributes = function(seed){
name_file <- file.path(private$filesPath,self$name,private$configName)
if(seed == 0){
seed <- runif(1, min=0, max=100000)
seed <- signif(seed, digits = 8)
}
write(paste("\nseed = ",seed,sep=""),file=name_file,append = TRUE)
}
)
)
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