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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