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, UKFax: +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
