[BioC] question regarding to MLInterface

[Max Kuhn]

If you have no issues generating the expression values into a matrix
or data frame, you might consider using the caret package:

   https://stat.ethz.ch/pipermail/r-packages/2010/001177.html

There are also some functions for normalizing Affy arrays on a one-off
basis that can be useeful for predictive modeling.

Max

On Mon, Nov 15, 2010 at 9:30 PM,  <jrwang at itri.org.tw> wrote:
> Hi, I have a question regarding the MLearn in MLinterface package.  Assume I want to use nnet to build a nerual network prediction model.  I can observe performace of various parameters in nnet using MLearn to train and cross validate with my data.  Now, I want to retrive the model with best performance from my MLearn result.  What should I do?  I look the structure of returning result.  It seems a RObject inside the MLearn returing object containing a neural model.  Is this the best one?   If I can nnot do this from MLearn, is there any other method or package to do this?  Thanks,
>
> Best regards,
>
> Weihsin Wang, Ph.D.
> Bioinformatics Core Lab.,
> Biomedical Engineering Research Lab.,
> Industrial Technology Research Institute
> TEL:886-3-5913689
> FAX: 886-3-5820445
>
>
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