Open mariusbommert opened 4 years ago
Hello,
I would like to know why the results using Windows or Linux are different.
library(RSNNS) set.seed(1) data = matrix(rnorm(300), ncol = 3) model = mlp(x = data[1:95, 1:2], y = data[1:95, 3], size = 5) predict = predict(model, data5[96:100, 1:2]) predict # Results using Windows: # [,1] # 96 0.02506411 # 97 0.01911207 # 98 0.02082419 # 99 0.01711116 # 100 0.01743222 # Results using Linux: # [,1] # 96 0.02582934 # 97 0.01976289 # 98 0.02150856 # 99 0.01771399 # 100 0.01804006
The R versions and the versions of package RSNNS are the same.
Best regards, Marius
Hi,
good question, to be honest I don't know. Either different random number generators, or different compiler optimizations or similar come to mind.
Hello,
I would like to know why the results using Windows or Linux are different.
The R versions and the versions of package RSNNS are the same.
Best regards, Marius