On Tue, Feb 03, 2009 at 10:52:03PM -0500, Per B. Sederberg wrote: > Hi Folks: > > I just wanted to let you know that I just added in a new > regression-based classifier to PyMVPA that I think is going to be very > effective: the elastic net (ENET). It's a variant on least angle > regression (LARS), but it has both L1 and L2 priors so that it > sparsifies the features AND keeps redundant features, which helps with > both generalizability and with sensitivity analysis.
Sounds great -- I will take a look if it is friendly to my datasets ;-) Thanks, Michael -- GPG key: 1024D/3144BE0F Michael Hanke http://apsy.gse.uni-magdeburg.de/hanke ICQ: 48230050 _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
