SMLR might be faster or slower than SVM depending on data also lm argument controls sparseness and convergence_tol convergence -- both will have influence on runtime (as few others as well).
but the message: it is ok for it to be slower. And depending how installed it you might have got only native Python SMLR implementation which would be even slower (you should have seen a warning if that was the case) On Wed, 25 Apr 2012, Ping-Hui Chiu wrote: > Dear PyMVPA experts, > Yesterday I changed my classifier from LinearCSVMC to SMLR and the > processing speed seems 2-5 times slower. Is this normal? Is there any > parameter in SMLR I can set to speed up its process? > Thanks! > Ping-Hui > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa -- =------------------------------------------------------------------= Keep in touch www.onerussian.com Yaroslav Halchenko www.ohloh.net/accounts/yarikoptic _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
