{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6651","repository_url":"https://api.github.com/repos/scikit-learn/scikit-learn","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6651/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6651/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6651/events","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6651","id":147699739,"number":6651,"title":"[WIP] Bayesian Gaussian Mixture (Integration of GSoC2015 -- second step)","user":{"login":"tguillemot","id":17002898,"avatar_url":"https://avatars.githubusercontent.com/u/17002898?v=3","gravatar_id":"","url":"https://api.github.com/users/tguillemot","html_url":"https://github.com/tguillemot","followers_url":"https://api.github.com/users/tguillemot/followers","following_url":"https://api.github.com/users/tguillemot/following{/other_user}","gists_url":"https://api.github.com/users/tguillemot/gists{/gist_id}","starred_url":"https://api.github.com/users/tguillemot/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tguillemot/subscriptions","organizations_url":"https://api.github.com/users/tguillemot/orgs","repos_url":"https://api.github.com/users/tguillemot/repos","events_url":"https://api.github.com/users/tguillemot/events{/privacy}","received_events_url":"https://api.github.com/users/tguillemot/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2016-04-12T10:07:58Z","updated_at":"2016-05-25T14:28:20Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/6651","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6651","diff_url":"https://github.com/scikit-learn/scikit-learn/pull/6651.diff","patch_url":"https://github.com/scikit-learn/scikit-learn/pull/6651.patch"},"body":"This PR is the second part of the GSoC integration. It is directly based on the work of the #6407.\r\nHere I propose to integrate the Bayesian Gaussian Mixture :\r\n- [X] Check the code and formulas\r\n- [X] Add the Bayesian Gaussian class\r\n- [X] Add the docstring \r\n- [X] Add the tests\r\n- [ ] Depreciation of the old class\r\n- [ ] Remove the mixtures with small weights during the process\r\n- [ ] Change the doc\r\n- [ ] Create some examples\r\n\r\nThis PR is based on #6407, it will be better to analyse only the files that refer to the `BayesianGaussianMixture` class.\r\n "},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/221593696","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6651#issuecomment-221593696","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6651","id":221593696,"user":{"login":"ogrisel","id":89061,"avatar_url":"https://avatars.githubusercontent.com/u/89061?v=3","gravatar_id":"","url":"https://api.github.com/users/ogrisel","html_url":"https://github.com/ogrisel","followers_url":"https://api.github.com/users/ogrisel/followers","following_url":"https://api.github.com/users/ogrisel/following{/other_user}","gists_url":"https://api.github.com/users/ogrisel/gists{/gist_id}","starred_url":"https://api.github.com/users/ogrisel/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ogrisel/subscriptions","organizations_url":"https://api.github.com/users/ogrisel/orgs","repos_url":"https://api.github.com/users/ogrisel/repos","events_url":"https://api.github.com/users/ogrisel/events{/privacy}","received_events_url":"https://api.github.com/users/ogrisel/received_events","type":"User","site_admin":false},"created_at":"2016-05-25T14:28:20Z","updated_at":"2016-05-25T14:28:20Z","body":"@tguillemot This PR needs to be updated to take the precision-based parametrization into account:\r\n\r\n```\r\nImportError: cannot import name _check_covariance_matrix\r\n```"}}
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