{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4394","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4394/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4394/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4394/events","html_url":"https://github.com/scikit-learn/scikit-learn/issues/4394","id":61704997,"number":4394,"title":"weighted KDE","user":{"login":"cbonnett","id":4085850,"avatar_url":"https://avatars.githubusercontent.com/u/4085850?v=3","gravatar_id":"","url":"https://api.github.com/users/cbonnett","html_url":"https://github.com/cbonnett","followers_url":"https://api.github.com/users/cbonnett/followers","following_url":"https://api.github.com/users/cbonnett/following{/other_user}","gists_url":"https://api.github.com/users/cbonnett/gists{/gist_id}","starred_url":"https://api.github.com/users/cbonnett/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cbonnett/subscriptions","organizations_url":"https://api.github.com/users/cbonnett/orgs","repos_url":"https://api.github.com/users/cbonnett/repos","events_url":"https://api.github.com/users/cbonnett/events{/privacy}","received_events_url":"https://api.github.com/users/cbonnett/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/labels/Enhancement","name":"Enhancement","color":"d7e102"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":7,"created_at":"2015-03-14T22:13:14Z","updated_at":"2015-05-20T11:14:41Z","closed_at":null,"body":"Not sure this is the correct place, but I would very much appreciate the ability to \r\npass a weight for each sample in kde density estimation. \r\n\r\nThere exits a adapted version of scipy.stats.gaussian_kde : \r\nhttp://stackoverflow.com/questions/27623919/weighted-gaussian-kernel-density-estimation-in-python\r\n\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/103846467","html_url":"https://github.com/scikit-learn/scikit-learn/issues/4394#issuecomment-103846467","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4394","id":103846467,"user":{"login":"Padarn","id":858039,"avatar_url":"https://avatars.githubusercontent.com/u/858039?v=3","gravatar_id":"","url":"https://api.github.com/users/Padarn","html_url":"https://github.com/Padarn","followers_url":"https://api.github.com/users/Padarn/followers","following_url":"https://api.github.com/users/Padarn/following{/other_user}","gists_url":"https://api.github.com/users/Padarn/gists{/gist_id}","starred_url":"https://api.github.com/users/Padarn/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Padarn/subscriptions","organizations_url":"https://api.github.com/users/Padarn/orgs","repos_url":"https://api.github.com/users/Padarn/repos","events_url":"https://api.github.com/users/Padarn/events{/privacy}","received_events_url":"https://api.github.com/users/Padarn/received_events","type":"User","site_admin":false},"created_at":"2015-05-20T11:14:41Z","updated_at":"2015-05-20T11:14:41Z","body":"Just a comment - for low dimensional data sets statsmodels already has a weighted KDE."}}