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, [EMAIL PROTECTED] 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 ______________________________________________ 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