{"action":"created","issue":{"url":"https://api.github.com/repos/numpy/numpy/issues/4960","labels_url":"https://api.github.com/repos/numpy/numpy/issues/4960/labels{/name}","comments_url":"https://api.github.com/repos/numpy/numpy/issues/4960/comments","events_url":"https://api.github.com/repos/numpy/numpy/issues/4960/events","html_url":"https://github.com/numpy/numpy/pull/4960","id":40149115,"number":4960,"title":"ENH: add a weighted covariance calculation.","user":{"login":"tpoole","id":872729,"avatar_url":"https://avatars.githubusercontent.com/u/872729?v=3","gravatar_id":"","url":"https://api.github.com/users/tpoole","html_url":"https://github.com/tpoole","followers_url":"https://api.github.com/users/tpoole/followers","following_url":"https://api.github.com/users/tpoole/following{/other_user}","gists_url":"https://api.github.com/users/tpoole/gists{/gist_id}","starred_url":"https://api.github.com/users/tpoole/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tpoole/subscriptions","organizations_url":"https://api.github.com/users/tpoole/orgs","repos_url":"https://api.github.com/users/tpoole/repos","events_url":"https://api.github.com/users/tpoole/events{/privacy}","received_events_url":"https://api.github.com/users/tpoole/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/numpy/numpy/labels/component:%20numpy.lib","name":"component: numpy.lib","color":"ff0000"},{"url":"https://api.github.com/repos/numpy/numpy/labels/Enhancement","name":"Enhancement","color":"e102d8"}],"state":"open","locked":false,"assignee":null,"milestone":{"url":"https://api.github.com/repos/numpy/numpy/milestones/35","html_url":"https://github.com/numpy/numpy/milestones/1.10.0%20release","labels_url":"https://api.github.com/repos/numpy/numpy/milestones/35/labels","id":1055363,"number":35,"title":"1.10.0 release","description":"Marker for PRs that should go into Numpy 1.10.1.","creator":{"login":"charris","id":77272,"avatar_url":"https://avatars.githubusercontent.com/u/77272?v=3","gravatar_id":"","url":"https://api.github.com/users/charris","html_url":"https://github.com/charris","followers_url":"https://api.github.com/users/charris/followers","following_url":"https://api.github.com/users/charris/following{/other_user}","gists_url":"https://api.github.com/users/charris/gists{/gist_id}","starred_url":"https://api.github.com/users/charris/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/charris/subscriptions","organizations_url":"https://api.github.com/users/charris/orgs","repos_url":"https://api.github.com/users/charris/repos","events_url":"https://api.github.com/users/charris/events{/privacy}","received_events_url":"https://api.github.com/users/charris/received_events","type":"User","site_admin":false},"open_issues":21,"closed_issues":7,"state":"open","created_at":"2015-04-07T00:02:10Z","updated_at":"2015-04-25T02:11:34Z","due_on":null,"closed_at":null},"comments":9,"created_at":"2014-08-13T12:25:29Z","updated_at":"2015-04-27T19:14:07Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/numpy/numpy/pulls/4960","html_url":"https://github.com/numpy/numpy/pull/4960","diff_url":"https://github.com/numpy/numpy/pull/4960.diff","patch_url":"https://github.com/numpy/numpy/pull/4960.patch"},"body":"Weights can now be included in a covariance calculation in a similar manner as\r\nthe existing implementation of a weighted average."},"comment":{"url":"https://api.github.com/repos/numpy/numpy/issues/comments/96784202","html_url":"https://github.com/numpy/numpy/pull/4960#issuecomment-96784202","issue_url":"https://api.github.com/repos/numpy/numpy/issues/4960","id":96784202,"user":{"login":"charris","id":77272,"avatar_url":"https://avatars.githubusercontent.com/u/77272?v=3","gravatar_id":"","url":"https://api.github.com/users/charris","html_url":"https://github.com/charris","followers_url":"https://api.github.com/users/charris/followers","following_url":"https://api.github.com/users/charris/following{/other_user}","gists_url":"https://api.github.com/users/charris/gists{/gist_id}","starred_url":"https://api.github.com/users/charris/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/charris/subscriptions","organizations_url":"https://api.github.com/users/charris/orgs","repos_url":"https://api.github.com/users/charris/repos","events_url":"https://api.github.com/users/charris/events{/privacy}","received_events_url":"https://api.github.com/users/charris/received_events","type":"User","site_admin":false},"created_at":"2015-04-27T19:14:07Z","updated_at":"2015-04-27T19:14:07Z","body":"@MechCoder Could you explain precisely how scikits-learn wants to use the weights? I suspect that may be different than either of the two alternatives here."}}