Hello there, I'm back again with another question about the neural network package. I'm having trouble getting the network to run for the maximum number of iterations. It always stops early, usually after 100 iterations claiming to have converged at an answer.
Now, for my purposes I want it to run for the entire number of epochs, and I'm been looking at modifying the abstol parameter. However, if I set abstol to 0, it still doesn't force the network to run for the maximum specified epochs. From the description in the documentation, setting it to 0 should achieve the effect I want. :( I can't seem to find a way to prevent early stopping. Any help would be much appreciated. Wee-Jin ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
