[R] Preventing early stopping in neural network (nnet package)

[Wee-Jin Goh]

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