I don't know what may be the crash cause.. this occurs when I train rbf
method with Caret
, like this: (RSession Crashed after code execution)
library(caret)
library(mlbench)
library(dplyr)
data("HouseVotes84")
dummy_data_classif <- HouseVotes84[,1:length(colnames(HouseVotes84))] %>%
mutate_if(is.factor, as.numeric)
resampling <- trainControl(method = "cv",
number = 5,
allowParallel = FALSE)
model <- caret::train(Class ~ .,
data = dummy_data_classif,
method = "rbf",
trControl = resampling)
In the contrary, The Original rbf
from RSNNS
execution working fine as Expected:
library(RSNNS)
inputs <- as.matrix(dummy_data_classif[,-1])
outputs <- as.matrix(as.numeric(dummy_data_classif[,1]))
model <- RSNNS::rbf(inputs, outputs, size=40, maxit=1000,
initFuncParams=c(0, 1, 0, 0.01, 0.01),
learnFuncParams=c(1e-8, 0, 1e-8, 0.1, 0.8), linOut=TRUE)