{"action":"opened","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8417","repository_url":"https://api.github.com/repos/scikit-learn/scikit-learn","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8417/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8417/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8417/events","html_url":"https://github.com/scikit-learn/scikit-learn/issues/8417","id":209027757,"number":8417,"title":"Give some multi-output classifier/regressor first order citizenship","user":{"login":"yupbank","id":741544,"avatar_url":"https://avatars.githubusercontent.com/u/741544?v=3","gravatar_id":"","url":"https://api.github.com/users/yupbank","html_url":"https://github.com/yupbank","followers_url":"https://api.github.com/users/yupbank/followers","following_url":"https://api.github.com/users/yupbank/following{/other_user}","gists_url":"https://api.github.com/users/yupbank/gists{/gist_id}","starred_url":"https://api.github.com/users/yupbank/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yupbank/subscriptions","organizations_url":"https://api.github.com/users/yupbank/orgs","repos_url":"https://api.github.com/users/yupbank/repos","events_url":"https://api.github.com/users/yupbank/events{/privacy}","received_events_url":"https://api.github.com/users/yupbank/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-02-21T02:46:21Z","updated_at":"2017-02-21T02:46:21Z","closed_at":null,"body":"Currently, all multi-output classifier/regressor are treated as second order citizenship.\r\nevery classifier/regressor are being trained separately using joblib. the data copy overhead is big. which is not necessary. we can follow multi-class classifier to define a vectorized loss function/grad/hess and hopefully should be faster than current implementation.\r\n\r\nI've only tested with tensorflow one layer and currently multiouput. which tensorflow is way faster..\r\n\r\nI was thinking to help on this, if you guys think it's necessary :) "}}
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