Many thanks. On Mon, Mar 13, 2017 at 10:08 AM, Sebastian Raschka <[email protected]> wrote:
> Hi, Stuart, > I think the only way to do that right now would be through the SGD > classifier, e.g., > > sklearn.linear_model.SGDClassifier(loss='log', penalty='elasticnet' …) > > Best, > Sebastian > > > On Mar 13, 2017, at 12:57 PM, Stuart Reynolds <[email protected]> > wrote: > > > > Is there an implementation of logistic regression with elastic net > regularization in scikit? > > (or pointers on implementing this - its seems non-convex and so you > might expect poor behavior with some optimizers) > > > > > > - Stuart > > _______________________________________________ > > scikit-learn mailing list > > [email protected] > > https://mail.python.org/mailman/listinfo/scikit-learn > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn >
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