Hi Julian.
Since I am not an expert on pymvpa I will let the others answer your
precise question.
But I have a script building upon pymvpa and pp to do cross validation
for parameter search
on multiple cores and over ssh.
It's only a couple of lines and very easy to use.
Let me know if you're interested.
Cheers,
Andy
On 10/06/2010 06:16 PM, Karch, Julian wrote:
Hello,
i'm currently working on a project where i have to select hyperparameters for
the libSVM implementation which generate a model which fits a dataset best
(compared to other hyperparameters). Is there any implementation available in
pymvpa accomplishes this job? I found Modelselector but as i unterstood the
logic it needs the classifier/model to have a method called
compute_log_marginal_likelihood which the SVM clfers seem to lag.
Julian Karch
Research Assistant
Max Planck Institute for Human Development
Department Lifespan Psychology
Lentzeallee 94
14195 Berlin
Tel.: 030 / 82406-294
Email: ka...@mpib-berlin.mpg.de
Internet: www.mpib-berlin.mpg.de
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