OK, I think I know what is the answer to this question - first I have to
define a rsnns object factory, create a network (specify its architecture)
and only THEN I can use train (this is what I have understood from the RSNNS
manual)
However, for the sake of not being stuck with this one, I used ML
To provide more details:
1) the package I use is the RSNNS (as stated in the topic)
2) for input data to be split I fed in ts() object.. maybe this is a wrong
move.
Does anybody knows what is the type of object that can be fed into the
train() function from the RSNNS package?
The input dat
Hello All!
I am training to train a NN with function train() after splitting data with
the function splitForTrainingAndTest(). The split is ok (checked it), but
when I get a try on training I get this message:
Error in UseMethod("train") :
no applicable method for 'train' applied to an object
Dear list members.
I am trying to make a sensitivity analysis (as derived by Zurada 1994,
Engelbrecht 1995) of input parameters (gene expression data) when
applying a neural network to classify different cancer subtypes. Since
I am no expert in the field, (rather a newbie), I wonder if ther
A reasonable place to start would be to look at the packages recommended
in the Machine Learning section of CRAN Task Views:
http://cran.r-project.org/web/views/MachineLearning.html . You could
also try to search the archive for this list which often recommend the
same package (e.g.
http://to
Hi,
I am starting to play around with neural networks and noticed that there are
several packages on the CRAN website for neural networks (AMORE, grnnR,
neural, neuralnet, maybe more if I missed them).
Are any of these packages more well-suited for newbies to neural networks?
Are there any relati
More specifically, it is nnet package.
Best
2009/4/18 Tobias Verbeke :
> Hi Lars,
>
>> I'd like to ask your guidance regarding the following two questions: (i) I
>> just finished reading Chris Bishop's book "Neural Networks for Pattern
>> Recognition". Although the book gave me good theoretical f
Hi Lars,
I'd like to ask your guidance regarding the following two questions: (i) I
just finished reading Chris Bishop's book "Neural Networks for Pattern
Recognition". Although the book gave me good theoretical foundation about
NN, I'm now looking for something more practical regarding architec
Dear R users,
I'd like to ask your guidance regarding the following two questions: (i) I
just finished reading Chris Bishop's book "Neural Networks for Pattern
Recognition". Although the book gave me good theoretical foundation about
NN, I'm now looking for something more practical regarding archi
Hello all,
I am trying to use the neuralnet function from the neural package to train
neural networks. I am finishing my thesis over statistical learning in which I
am comparring the MSE values for various algorithms with random data sets, so I
do not have a specific application. I have two i
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