Thanks, Claudia!


On Tue, Oct 12, 2010 at 9:54 AM, Claudia Beleites <cbeleites@units.it>wrote:

> I'm not sure how much fun it is to fit > 7000 weights with 1800 samples,
> but you can tell nnet to allow more weights with MaxNWts, see ?nnet
>
>
>
> On 10/12/2010 06:45 PM, Changbin Du wrote:
>
>> HI, Dear R community,
>>
>> My data set has 2409 variables, the  last one is response variable.  I
>> have
>> used the nnet after feature selection and works. But this time, I am using
>> nnet to fit a model without feature selection. I got the following error
>> information:
>>
>>  dim(train)
>>>
>> [1] 1827 2409
>>
>>  nnet.fit<-nnet(as.factor(out) ~ ., data=train,  size=3, rang=0.3,
>> decay=5e-4, maxit=500)  # model fitting
>> *Error in nnet.default(x, y, w, entropy = TRUE, ...) :
>>   too many (7231) weights*
>>
>>
>> The data set is bigger than 25MB, can not be attached.
>>
>> Many thanks!
>>
>>
>>
>
> --
> Claudia Beleites
> Dipartimento dei Materiali e delle Risorse Naturali
> Università degli Studi di Trieste
> Via Alfonso Valerio 6/a
> I-34127 Trieste
>
> phone: +39 0 40 5 58-37 68
> email: cbeleites@units.it
>



-- 
Sincerely,
Changbin
--

Changbin Du
DOE Joint Genome Institute
Bldg 400 Rm 457
2800 Mitchell Dr
Walnut Creet, CA 94598
Phone: 925-927-2856

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