Please Suggest a faster method/package for parameter tuning in R

r
gridsearch

#1

Hi everyone,

I have been using the h2o package because of memory issues, and while applying grid search using h2o package as shown below, it is taking too much time to check as the number of parameters increase.

grid <- h2o.grid("randomForest", x = c(1:20,22:37), y = 21, training_frame = cluster1.h2o,
+ hyper_params = list(ntrees = c(75,150,275))) 

If you know about or are using any package or a faster method for parameter tuning, please suggest below.