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
