{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8057","repository_url":"https://api.github.com/repos/scikit-learn/scikit-learn","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8057/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8057/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8057/events","html_url":"https://github.com/scikit-learn/scikit-learn/issues/8057","id":195697914,"number":8057,"title":"Nearest neighbors classifiers should support sparse multilabel Y","user":{"login":"jnothman","id":78827,"avatar_url":"https://avatars.githubusercontent.com/u/78827?v=3","gravatar_id":"","url":"https://api.github.com/users/jnothman","html_url":"https://github.com/jnothman","followers_url":"https://api.github.com/users/jnothman/followers","following_url":"https://api.github.com/users/jnothman/following{/other_user}","gists_url":"https://api.github.com/users/jnothman/gists{/gist_id}","starred_url":"https://api.github.com/users/jnothman/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jnothman/subscriptions","organizations_url":"https://api.github.com/users/jnothman/orgs","repos_url":"https://api.github.com/users/jnothman/repos","events_url":"https://api.github.com/users/jnothman/events{/privacy}","received_events_url":"https://api.github.com/users/jnothman/received_events","type":"User","site_admin":false},"labels":[{"id":218978315,"url":"https://api.github.com/repos/scikit-learn/scikit-learn/labels/Need%20Contributor","name":"Need Contributor","color":"009800","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2016-12-15T02:07:49Z","updated_at":"2016-12-20T12:46:16Z","closed_at":null,"body":"This should be a fairly straightforward translation of each output's mode to sparse CSC, then hstacking."},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/268234786","html_url":"https://github.com/scikit-learn/scikit-learn/issues/8057#issuecomment-268234786","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/8057","id":268234786,"user":{"login":"jnothman","id":78827,"avatar_url":"https://avatars.githubusercontent.com/u/78827?v=3","gravatar_id":"","url":"https://api.github.com/users/jnothman","html_url":"https://github.com/jnothman","followers_url":"https://api.github.com/users/jnothman/followers","following_url":"https://api.github.com/users/jnothman/following{/other_user}","gists_url":"https://api.github.com/users/jnothman/gists{/gist_id}","starred_url":"https://api.github.com/users/jnothman/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jnothman/subscriptions","organizations_url":"https://api.github.com/users/jnothman/orgs","repos_url":"https://api.github.com/users/jnothman/repos","events_url":"https://api.github.com/users/jnothman/events{/privacy}","received_events_url":"https://api.github.com/users/jnothman/received_events","type":"User","site_admin":false},"created_at":"2016-12-20T12:46:16Z","updated_at":"2016-12-20T12:46:16Z","body":"Yes, fit does nothing with y but store it. For predict, you can copy\nwhether the y used in fit was sparse.\n\nOn 20 December 2016 at 23:34, Aman Dalmia <notifications@github.com> wrote:\n\n> Tested. Sparse multilabel y supported in fit.\n> For predict, shouldn't there be a parameter, i.e. if sparse output is\n> required or not?\n>\n> —\n> You are receiving this because you authored the thread.\n> Reply to this email directly, view it on GitHub\n> <https://github.com/scikit-learn/scikit-learn/issues/8057#issuecomment-268232801>,\n> or mute the thread\n> <https://github.com/notifications/unsubscribe-auth/AAEz653k5fDyRgebY6_Q8wd7geq9IeSaks5rJ8tugaJpZM4LNotK>\n> .\n>\n"}}
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