Emanuele replied: > GPR with linear kernel is linear regression. It is Bayesian linear > regression as shown here (chapter 2.1):...
Thanks for the link, looks like that book might be well written enough for me to understand. I admit that my understanding of GPR is superficial at best, but it looks like I had it misconfigured, with sigma_noise at its default of 0.001. When I set it to a smaller value, I get residuals comparable to what I see with R, around 1e-12. > Anyway they are in my 2010 todo/whish list and you are warmly invited > to participate! :-) I haven't gotten too deeply into the code yet, but I'll certainly keep that in mind as I start to work on some real problems. Thanks again, dan _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
