Re: [pymvpa] Altering the weights of classes in binary SVM classifier

2015-08-13 Thread Richard Dinga
My sample is not balanced (there happens to have been 22 responders and 13 non-responders) and is not particularly large. I would like, if possible, to use all the data and adjust the classifier to the unbalanced set rather than selecting a subset of the responders. You don't have to

Re: [pymvpa] Searchlight statistical inference

2015-08-13 Thread Roni Maimon
Thank you so much Richard! This was super helpful! One last question, do you know if the averaging can be done using the command line without sparse ROI's? Maybe by using --scatter-rois 0? or is it the default regardless to the input of scatter-rois? And just to make sure I understand the scatter

Re: [pymvpa] Searchlight statistical inference

2015-08-13 Thread Richard Dinga
Thank you so much Richard! This was super helpful! One last question, do you know if the averaging can be done using the command line without sparse ROI's? Maybe by using --scatter-rois 0? or is it the default regardless to the input of scatter-rois? I am sorry, but I don't know. The feature

Re: [pymvpa] Altering the weights of classes in binary SVM classifier

2015-08-13 Thread Michael Browning
Super—thanks for the advice, Mike From: Pkg-ExpPsy-PyMVPA [mailto:pkg-exppsy-pymvpa-bounces+michael.browning=psych.ox.ac...@lists.alioth.debian.org] On Behalf Of Richard Dinga Sent: 13 August 2015 15:31 To: pkg-exppsy-pymvpa@lists.alioth.debian.org Subject: Re: [pymvpa] Altering the weights of