We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
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
The text was updated successfully, but these errors were encountered:
Hi,
good question, to be honest I don't know. Either different random number generators, or different compiler optimizations or similar come to mind.
Sorry, something went wrong.
No branches or pull requests
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
The text was updated successfully, but these errors were encountered: