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#Class implementing a Classification Algorithm
#Implements the C_SVM-C KEEL classification algorithm
C_SVM_C <- function(train, test, KernelType="RBF", C=100.0, eps=0.001, degree=1, gamma=0.01, coef0=0.0, nu=0.1, p=1.0, shrinking=1, seed=-1){
alg <- RKEEL::R6_C_SVM_C$new()
alg$setParameters(train, test, KernelType, C, eps, degree, gamma, coef0, nu, p, shrinking, seed)
return (alg)
}
R6_C_SVM_C <- R6::R6Class("R6_C_SVM_C",
inherit = ClassificationAlgorithm,
public = list(
#Public properties
#Kernel type
KernelType = "RBF",
#C
C = 100.0,
#eps
eps = 0.001,
#degree
degree = 1,
#gamma
gamma = 0.01,
#coef0
coef0 = 0.0,
#nu
nu = 0.1,
#p
p = 1.0,
#shrinking
shrinking = 1,
#seed
seed = -1,
#Public functions
#Initialize function
setParameters = function(train, test,
KernelType="RBF", C=100.0, eps=0.001, degree=1,
gamma=0.01, coef0=0.0, nu=0.1, p=1.0, shrinking=1,
seed=-1){
super$setParameters(train, test)
if((tolower(KernelType) == "linear") || (tolower(KernelType) == "poly") || (tolower(KernelType) == "rbf") || (tolower(KernelType) == "sigmoid")){
self$KernelType <- toupper(KernelType)
}
else{
#Default value
self$StringKernel_pruning <- "RBF"
}
self$C <- C
self$eps <- eps
self$degree <- degree
self$gamma <- gamma
self$coef0 <- coef0
self$nu <- nu
self$p <- p
self$shrinking <- shrinking
if(seed == -1) {
self$seed <- sample(1:1000000, 1)
}
else {
self$seed <- seed
}
}
),
private = list(
#Private properties
#jar Filename
jarName = "C_SVM.jar",
#algorithm name
algorithmName = "C_SVM-C",
#String with algorithm name
algorithmString = "C_SVM",
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
text <- paste0(text, "seed = ", self$seed, "\n")
text <- paste0(text, "KERNELtype = ", self$KernelType, "\n")
text <- paste0(text, "C = ", self$C, "\n")
text <- paste0(text, "eps = ", self$eps, "\n")
text <- paste0(text, "degree = ", self$degree, "\n")
text <- paste0(text, "gamma = ", self$gamma, "\n")
text <- paste0(text, "coef0 = ", self$coef0, "\n")
text <- paste0(text, "nu = ", self$nu, "\n")
text <- paste0(text, "p = ", self$p, "\n")
text <- paste0(text, "shrinking = ", self$shrinking, "\n")
return(text)
}
)
)
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