{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6586","repository_url":"https://api.github.com/repos/scikit-learn/scikit-learn","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6586/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6586/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6586/events","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6586","id":143159614,"number":6586,"title":"[MRG+2] Add homogeneous time series cross validation","user":{"login":"yenchenlin","id":7057863,"avatar_url":"https://avatars.githubusercontent.com/u/7057863?v=3","gravatar_id":"","url":"https://api.github.com/users/yenchenlin","html_url":"https://github.com/yenchenlin","followers_url":"https://api.github.com/users/yenchenlin/followers","following_url":"https://api.github.com/users/yenchenlin/following{/other_user}","gists_url":"https://api.github.com/users/yenchenlin/gists{/gist_id}","starred_url":"https://api.github.com/users/yenchenlin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yenchenlin/subscriptions","organizations_url":"https://api.github.com/users/yenchenlin/orgs","repos_url":"https://api.github.com/users/yenchenlin/repos","events_url":"https://api.github.com/users/yenchenlin/events{/privacy}","received_events_url":"https://api.github.com/users/yenchenlin/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":43,"created_at":"2016-03-24T05:46:52Z","updated_at":"2016-08-22T22:24:22Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/6586","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6586","diff_url":"https://github.com/scikit-learn/scikit-learn/pull/6586.diff","patch_url":"https://github.com/scikit-learn/scikit-learn/pull/6586.patch"},"body":"This PR is a separated PR from #6351 that tries to solve #6322 ,\r\nand it implements homogeneous time series cross validation and add the corresponding test. \r\n\r\nHowever, there's a discussion on `n_folds`'s meaning [here](https://github.com/scikit-learn/scikit-learn/pull/6351#discussion_r55256952), may reviewers please give me some suggestion?\r\n\r\nping @MechCoder @rvraghav93 @amueller @jnothman :pray: "},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/241570111","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6586#issuecomment-241570111","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6586","id":241570111,"user":{"login":"amueller","id":449558,"avatar_url":"https://avatars.githubusercontent.com/u/449558?v=3","gravatar_id":"","url":"https://api.github.com/users/amueller","html_url":"https://github.com/amueller","followers_url":"https://api.github.com/users/amueller/followers","following_url":"https://api.github.com/users/amueller/following{/other_user}","gists_url":"https://api.github.com/users/amueller/gists{/gist_id}","starred_url":"https://api.github.com/users/amueller/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/amueller/subscriptions","organizations_url":"https://api.github.com/users/amueller/orgs","repos_url":"https://api.github.com/users/amueller/repos","events_url":"https://api.github.com/users/amueller/events{/privacy}","received_events_url":"https://api.github.com/users/amueller/received_events","type":"User","site_admin":false},"created_at":"2016-08-22T22:24:22Z","updated_at":"2016-08-22T22:24:22Z","body":"This looks good. I'd change the organization of the user guide, though.\r\nMaybe we should split it into \"Cross-validation for iid data\", \"Cross-validation for grouped data\" and \"Cross-validation for time-series\"?\r\nThat could also help with #7210"}}
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