On 09.02.2015 17:36, Alexandre Gramfort wrote: > yes or use Lasso directly.
Sorry for my stupid questions, but Lasso's "fit_intercept" is also deprecated according to the online documentation. I don't really understand the rationale behind removing all fit_intercepts, which are set to "True" by default everywhere in the current version. Probably my workflow is not optimal (I'm quite new to sklearn), but adding a "demean" and "remean" before and after all sklearn calls seems ugly, especially in the out-of-sample cross-validation loops... The online example about lasso model selection, for example, also uses the default fit_intercept: http://scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html Will all these examples become invalid too? ------------------------------------------------------------------------------ Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
