{"action":"opened","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5600","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5600/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5600/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5600/events","html_url":"https://github.com/scikit-learn/scikit-learn/issues/5600","id":113514397,"number":5600,"title":"Unable to perform cross validation on clustering methods","user":{"login":"kyledef","id":2001345,"avatar_url":"https://avatars.githubusercontent.com/u/2001345?v=3","gravatar_id":"","url":"https://api.github.com/users/kyledef","html_url":"https://github.com/kyledef","followers_url":"https://api.github.com/users/kyledef/followers","following_url":"https://api.github.com/users/kyledef/following{/other_user}","gists_url":"https://api.github.com/users/kyledef/gists{/gist_id}","starred_url":"https://api.github.com/users/kyledef/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kyledef/subscriptions","organizations_url":"https://api.github.com/users/kyledef/orgs","repos_url":"https://api.github.com/users/kyledef/repos","events_url":"https://api.github.com/users/kyledef/events{/privacy}","received_events_url":"https://api.github.com/users/kyledef/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-10-27T06:22:21Z","updated_at":"2015-10-27T06:22:21Z","closed_at":null,"body":"Was trying to do some cross validation between KMeans, BIRCH and DBSCAN, however the methods used by cross_validation.cross_val_predict amd cross_validation.cross_val_score are not consistent between these estimators.\r\n\r\nMaybe the cross_val_predict should check for predict first and then fall back to predict first. I understand the need for the difference.\r\n\r\nAlso why is there a score for only KMeans? Can be implemented across the border?"}}