[scikit-learn] Logistic regression with elastic net regularization

Sebastian Raschka se.raschka at gmail.com
Mon Mar 13 13:08:07 EDT 2017


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 <stuart at stuartreynolds.net> 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
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn



More information about the scikit-learn mailing list