Yes, it is crucial to look at your sklearn version, since @jmetzen rewrote the whole module, keeping very strictly to the algorithms detailed in Rasmussen & Williams 2006.
Michael On Wednesday, January 6, 2016, Gilles Louppe <g.lou...@gmail.com> wrote: > Hi, > > Before going further, what version of scikit-learn are you using? We > did a major update of the GP code in 0.18-dev. > > Best, > Gilles > > On 6 January 2016 at 05:01, Zafer Leylek > <zafer.ley...@student.adfa.edu.au <javascript:;>> wrote: > > Just going over the scikit GaussianProcess code and comparing the results > > with a simple 1D example using Rasmussen as a reference. Results are not > > matching and I traced the source to the mean equation in scikit. Scikit > > states the mean eqn to be: > > > > y_mean = f(X)^T beta + r(X)^T gamma > > > > but as far as I can see from Rasmussen (eqn 2.41 and 2.42) this should be > > (in scikit notation): > > > > y_mean = -u(X)^T beta + r(X)^T gamma > > > > Everything else seems to match. Am I missing something here? > > > > Z > > > > > ------------------------------------------------------------------------------ > > > > _______________________________________________ > > Scikit-learn-general mailing list > > Scikit-learn-general@lists.sourceforge.net <javascript:;> > > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net <javascript:;> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >
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