To ensure consistent results, a seed has to be set in R using set.seed as usual but also in numpy and torch via reticulate. Therefore this function simplifies the process into one funciton.
set_seed(seed_R, seed_np = seed_R, seed_torch = seed_R)(integer(1)) seed passed to set.seed.
(integer(1)) seed passed to numpy$random$seed. Default is same as seed_R.
(integer(1)) seed passed to numpy$random$seed.
Default is same as seed_R.