RSNNS
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Different results using Windows or Linux
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.