passing arguments from nnet to optim
On Fri, 26 Aug 2005, Tarca, Adi wrote:
Hi everyone, According to R reference manual, the nnet function uses the BFGS method of optim to optimize the neural network parameters.
What the help page says is
...: arguments passed to or from other methods.
That means methods of nnet().
Optimization is done via the BFGS method of 'optim'.
but it is not calling optim, rather the C code implementing optim.
I would like, when calling the function nnet to tell the optim function not to produce the tracing information on the progress of the optimization, or at least to reduce the frequency of the reports. I tried the following: a) nnet default
x<-rnorm(20) y<-seq(0,1,length=20) s<-nnet(y~x,size=1)
# weights: 4 initial value 1.910932 iter 10 value 1.819382 iter 20 value 1.788736 iter 30 value 1.775778 iter 40 value 1.767771 iter 50 value 1.765063 iter 60 value 1.762631 iter 70 value 1.760670 iter 80 value 1.759349 iter 90 value 1.757801 iter 100 value 1.756290 final value 1.756290 stopped after 100 iterations Report is generated at every 10 iterations. b) passing the REPORT parameter to optim via the control argument
x<-rnorm(20) y<-seq(0,1,length=20) s<-nnet(y~x,size=1,control=list(REPORT=50))
# weights: 4 initial value 1.894905 iter 10 value 1.672337 iter 20 value 1.658612 iter 30 value 1.654824 iter 40 value 1.653465 iter 50 value 1.652785 iter 60 value 1.652343 iter 70 value 1.652116 iter 80 value 1.651860 iter 90 value 1.651525 iter 100 value 1.651292 final value 1.651292 stopped after 100 iterations Is still producing reports at each 10 iterations. Has anyone an idea how can I turn off the report generation or at least to reduce its frequency?
You do it via the C code.
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