{"action":"created","comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/comments/75466642","id":75466642,"diff_hunk":"@@ -195,6 +168,44 @@ to some mixture components getting almost all the points while most\n mixture components will be centered on just a few of the remaining\n points.\n \n+.. figure:: ../auto_examples/mixture/images/plot_bayesian_gaussian_mixture_001.png","path":"doc/modules/mixture.rst","position":50,"original_position":50,"commit_id":"da10fe4af81fea491569d7bb4b1ba0fedbe058a4","original_commit_id":"da10fe4af81fea491569d7bb4b1ba0fedbe058a4","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},"body":"This image URL is broken since the introduction of the sphinx gallery module in master: it should be:\r\n\r\n ../auto_examples/mixture/images/sphx_glr_plot_bayesian_gaussian_mixture_001.png\r\n\r\n","created_at":"2016-08-19T11:27:37Z","updated_at":"2016-08-19T11:27:37Z","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6651#discussion_r75466642","pull_request_url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/6651","_links":{"self":{"href":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/comments/75466642"},"html":{"href":"https://github.com/scikit-learn/scikit-learn/pull/6651#discussion_r75466642"},"pull_request":{"href":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/6651"}}},"pull_request":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/6651","id":66131473,"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","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6651","number":6651,"state":"open","locked":false,"title":"[MRG+1] 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},"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- [x] Depreciation of the old class\r\n- [ ] Remove the mixtures with small weights during the process\r\n- [x] Change the doc\r\n- [x] 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 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