On Fri, Jan 01, 2016 at 08:41:56PM +0100, Marco De Nadai wrote: > I would expose it through a score function. In this way it can be called to > evaluate 2 models (let's say model A with 4 params and model B with 10). > Moreover, this could also be called by feature_selection.RFECV.
OK, but BIC is defined for a specific likelihood. I guess that what you want is the likelihood associated to linear model with Gaussian dstributions? Gaël ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
