{"action":"created","issue":{"url":"https://api.github.com/repos/mimno/Mallet/issues/43","repository_url":"https://api.github.com/repos/mimno/Mallet","labels_url":"https://api.github.com/repos/mimno/Mallet/issues/43/labels{/name}","comments_url":"https://api.github.com/repos/mimno/Mallet/issues/43/comments","events_url":"https://api.github.com/repos/mimno/Mallet/issues/43/events","html_url":"https://github.com/mimno/Mallet/issues/43","id":114515088,"number":43,"title":"Regularization for classification","user":{"login":"Zhomart","id":830536,"avatar_url":"https://avatars.githubusercontent.com/u/830536?v=3","gravatar_id":"","url":"https://api.github.com/users/Zhomart","html_url":"https://github.com/Zhomart","followers_url":"https://api.github.com/users/Zhomart/followers","following_url":"https://api.github.com/users/Zhomart/following{/other_user}","gists_url":"https://api.github.com/users/Zhomart/gists{/gist_id}","starred_url":"https://api.github.com/users/Zhomart/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Zhomart/subscriptions","organizations_url":"https://api.github.com/users/Zhomart/orgs","repos_url":"https://api.github.com/users/Zhomart/repos","events_url":"https://api.github.com/users/Zhomart/events{/privacy}","received_events_url":"https://api.github.com/users/Zhomart/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-11-02T03:01:00Z","updated_at":"2016-05-08T00:36:21Z","closed_at":null,"body":"How can I add Regularization for the MaxEnt classification?\r\n\r\nInformation about regularized logistic regression (aka MaxEnt) http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=MachineLearning&doc=exercises/ex5/ex5.html"},"comment":{"url":"https://api.github.com/repos/mimno/Mallet/issues/comments/217678966","html_url":"https://github.com/mimno/Mallet/issues/43#issuecomment-217678966","issue_url":"https://api.github.com/repos/mimno/Mallet/issues/43","id":217678966,"user":{"login":"Zintinio","id":648208,"avatar_url":"https://avatars.githubusercontent.com/u/648208?v=3","gravatar_id":"","url":"https://api.github.com/users/Zintinio","html_url":"https://github.com/Zintinio","followers_url":"https://api.github.com/users/Zintinio/followers","following_url":"https://api.github.com/users/Zintinio/following{/other_user}","gists_url":"https://api.github.com/users/Zintinio/gists{/gist_id}","starred_url":"https://api.github.com/users/Zintinio/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Zintinio/subscriptions","organizations_url":"https://api.github.com/users/Zintinio/orgs","repos_url":"https://api.github.com/users/Zintinio/repos","events_url":"https://api.github.com/users/Zintinio/events{/privacy}","received_events_url":"https://api.github.com/users/Zintinio/received_events","type":"User","site_admin":false},"created_at":"2016-05-08T00:36:21Z","updated_at":"2016-05-08T00:36:21Z","body":"There is a `MaxEntL1Trainer` in `cc.mallet.classify`, and an implementation of OWL-QN in `cc.mallet.optimize` for convex L1-regularized objectives. I'm not sure about L2, though there seems to be references to it in the codebase, along with an implementation of L-BFGS."}}