{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5279","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5279/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5279/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5279/events","html_url":"https://github.com/scikit-learn/scikit-learn/pull/5279","id":106766050,"number":5279,"title":"WIP: LOF algorithm (Anomaly Detection)","user":{"login":"ngoix","id":5682433,"avatar_url":"https://avatars.githubusercontent.com/u/5682433?v=3","gravatar_id":"","url":"https://api.github.com/users/ngoix","html_url":"https://github.com/ngoix","followers_url":"https://api.github.com/users/ngoix/followers","following_url":"https://api.github.com/users/ngoix/following{/other_user}","gists_url":"https://api.github.com/users/ngoix/gists{/gist_id}","starred_url":"https://api.github.com/users/ngoix/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ngoix/subscriptions","organizations_url":"https://api.github.com/users/ngoix/orgs","repos_url":"https://api.github.com/users/ngoix/repos","events_url":"https://api.github.com/users/ngoix/events{/privacy}","received_events_url":"https://api.github.com/users/ngoix/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2015-09-16T12:44:13Z","updated_at":"2015-10-09T22:00:42Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/5279","html_url":"https://github.com/scikit-learn/scikit-learn/pull/5279","diff_url":"https://github.com/scikit-learn/scikit-learn/pull/5279.diff","patch_url":"https://github.com/scikit-learn/scikit-learn/pull/5279.patch"},"body":"Local Outlier Factor implementation.\r\n\r\nMotivated by previous discussions\r\nhttp://sourceforge.net/p/scikit-learn/mailman/message/32485020\r\nand\r\nhttps://github.com/scikit-learn/scikit-learn/pull/4163\r\n\r\nbenchmarks of LOF on:\r\nhttps://github.com/ngoix/scikit-learn/tree/bench_lof\r\n"},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/146996147","html_url":"https://github.com/scikit-learn/scikit-learn/pull/5279#issuecomment-146996147","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5279","id":146996147,"user":{"login":"jmschrei","id":3916816,"avatar_url":"https://avatars.githubusercontent.com/u/3916816?v=3","gravatar_id":"","url":"https://api.github.com/users/jmschrei","html_url":"https://github.com/jmschrei","followers_url":"https://api.github.com/users/jmschrei/followers","following_url":"https://api.github.com/users/jmschrei/following{/other_user}","gists_url":"https://api.github.com/users/jmschrei/gists{/gist_id}","starred_url":"https://api.github.com/users/jmschrei/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jmschrei/subscriptions","organizations_url":"https://api.github.com/users/jmschrei/orgs","repos_url":"https://api.github.com/users/jmschrei/repos","events_url":"https://api.github.com/users/jmschrei/events{/privacy}","received_events_url":"https://api.github.com/users/jmschrei/received_events","type":"User","site_admin":false},"created_at":"2015-10-09T22:00:42Z","updated_at":"2015-10-09T22:00:42Z","body":"I would like to see some more extensive unit tests, particularly in cases where the algorithm should fail (wrong dimensions or other incorrect types of data passed in). I'll be able to look more at the performance of the code once you merge the mixin with the other class, and change the API to always take in an X matrix."}}