[pymvpa] Penalized logistic regression (PLR)
vincenttd at ucla.edu
Wed Mar 23 07:52:39 UTC 2016
I am trying to run a simple logistic regression in pyMVPA and I am having some difficulties finding the way to go. I think it might be possible to achieve using the penalized logistic regression (PLR) classifier but I ran a few tests with different parameters and it is not clear to me which should be used. More specifically, if I understand correctly, the penalty term lambda should affect the number of features that are selected for the classification, but using the get_sensitivity_analyzer function it seems that no weights end up with values of 0 either with very small or very high lambda values. Anyone can help with this issue?
Thank you very much for your help!
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