R help - Mar 2005 - nnet abstol

Hi,

I am using nnet to learn transfer functions. For each transfer function I can
estimate the best possible Mean Squared Error (MSE). So, rather than trying to
grind the MSE to 0, I would like to use abstol to stop training once the best
MSE is reached.

Can anyone confirm that the abstol parameter in the nnet function is the MSE, or
is it the Sum-of-Squares (SSE)?

Best regards,

Sam.

	[[alternative HTML version deleted]]

>From the help page:
   abstol: Stop if the fit criterion falls below 'abstol', indicating an
           essentially perfect fit.

Now, what the `fit criterion' is depends on the other options that you 
have not told us, but I don't see MSE mentioned anywhere on that help 
page, and I do see `least-squares'.

On Wed, 9 Mar 2005, Kemp S E (Comp) wrote:
> Hi,
>
> I am using nnet to learn transfer functions. For each transfer function 
> I can estimate the best possible Mean Squared Error (MSE). So, rather 
> than trying to grind the MSE to 0, I would like to use abstol to stop 
> training once the best MSE is reached.
>
> Can anyone confirm that the abstol parameter in the nnet function is the 
> MSE, or is it the Sum-of-Squares (SSE)?
-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595