{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/7243","repository_url":"https://api.github.com/repos/scikit-learn/scikit-learn","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/7243/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/7243/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/7243/events","html_url":"https://github.com/scikit-learn/scikit-learn/issues/7243","id":173168712,"number":7243,"title":"`RandomForest{Classifier|Regressor}CV` to efficiently find the best `n_estimators`","user":{"login":"raghavrv","id":9487348,"avatar_url":"https://avatars.githubusercontent.com/u/9487348?v=3","gravatar_id":"","url":"https://api.github.com/users/raghavrv","html_url":"https://github.com/raghavrv","followers_url":"https://api.github.com/users/raghavrv/followers","following_url":"https://api.github.com/users/raghavrv/following{/other_user}","gists_url":"https://api.github.com/users/raghavrv/gists{/gist_id}","starred_url":"https://api.github.com/users/raghavrv/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/raghavrv/subscriptions","organizations_url":"https://api.github.com/users/raghavrv/orgs","repos_url":"https://api.github.com/users/raghavrv/repos","events_url":"https://api.github.com/users/raghavrv/events{/privacy}","received_events_url":"https://api.github.com/users/raghavrv/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2016-08-25T10:32:45Z","updated_at":"2016-08-29T21:46:31Z","closed_at":null,"body":"Which can be expanded to other params after `warm_start` is introduced for other tree params in `DecisionTreeRegressor`/`DecisionTreeClassifier`\r\n\r\n@ogrisel @glouppe @agramfort @jnothman @amueller @MechCoder @jmschrei votes please?\r\n\r\nIf there is sufficient interest I can raise a PR for this..."},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/243267385","html_url":"https://github.com/scikit-learn/scikit-learn/issues/7243#issuecomment-243267385","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/7243","id":243267385,"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":"2016-08-29T21:46:31Z","updated_at":"2016-08-29T21:46:31Z","body":"I think we need a more general API for dealing with decisions based on validation performance. This would be useful for post-pruning as well, but it makes more sense to me to share an API between GradientBoosting, this, and post-pruning, rather than make a separate object for each."}}
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