{"action":"created","issue":{"url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/130","labels_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/130/labels{/name}","comments_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/130/comments","events_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/130/events","html_url":"https://github.com/markovmodel/PyEMMA/issues/130","id":62181971,"number":130,"title":"unify assignment in clustering","user":{"login":"marscher","id":170287,"avatar_url":"https://avatars.githubusercontent.com/u/170287?v=3","gravatar_id":"","url":"https://api.github.com/users/marscher","html_url":"https://github.com/marscher","followers_url":"https://api.github.com/users/marscher/followers","following_url":"https://api.github.com/users/marscher/following{/other_user}","gists_url":"https://api.github.com/users/marscher/gists{/gist_id}","starred_url":"https://api.github.com/users/marscher/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/marscher/subscriptions","organizations_url":"https://api.github.com/users/marscher/orgs","repos_url":"https://api.github.com/users/marscher/repos","events_url":"https://api.github.com/users/marscher/events{/privacy}","received_events_url":"https://api.github.com/users/marscher/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/markovmodel/PyEMMA/labels/enhancement","name":"enhancement","color":"84b6eb"}],"state":"open","locked":false,"assignee":null,"milestone":{"url":"https://api.github.com/repos/markovmodel/PyEMMA/milestones/1","html_url":"https://github.com/markovmodel/PyEMMA/milestones/coordinate_transform","labels_url":"https://api.github.com/repos/markovmodel/PyEMMA/milestones/1/labels","id":943236,"number":1,"title":"coordinate_transform","description":null,"creator":{"login":"franknoe","id":6495810,"avatar_url":"https://avatars.githubusercontent.com/u/6495810?v=3","gravatar_id":"","url":"https://api.github.com/users/franknoe","html_url":"https://github.com/franknoe","followers_url":"https://api.github.com/users/franknoe/followers","following_url":"https://api.github.com/users/franknoe/following{/other_user}","gists_url":"https://api.github.com/users/franknoe/gists{/gist_id}","starred_url":"https://api.github.com/users/franknoe/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/franknoe/subscriptions","organizations_url":"https://api.github.com/users/franknoe/orgs","repos_url":"https://api.github.com/users/franknoe/repos","events_url":"https://api.github.com/users/franknoe/events{/privacy}","received_events_url":"https://api.github.com/users/franknoe/received_events","type":"User","site_admin":false},"open_issues":11,"closed_issues":12,"state":"open","created_at":"2015-01-20T08:56:16Z","updated_at":"2015-03-21T13:28:20Z","due_on":null,"closed_at":null},"comments":3,"created_at":"2015-03-16T19:13:43Z","updated_at":"2015-03-24T16:31:08Z","closed_at":null,"body":"eg. have a c-extension which does it for all desired cases and call it from python. It should support assignment of whole chunks and different metrics (euclidean, min-rmsd etc).\r\n\r\nCurrently we're using super inefficient python for loops in assignment (one point assigned per iteration...)"},"comment":{"url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/comments/85589917","html_url":"https://github.com/markovmodel/PyEMMA/issues/130#issuecomment-85589917","issue_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/130","id":85589917,"user":{"login":"marscher","id":170287,"avatar_url":"https://avatars.githubusercontent.com/u/170287?v=3","gravatar_id":"","url":"https://api.github.com/users/marscher","html_url":"https://github.com/marscher","followers_url":"https://api.github.com/users/marscher/followers","following_url":"https://api.github.com/users/marscher/following{/other_user}","gists_url":"https://api.github.com/users/marscher/gists{/gist_id}","starred_url":"https://api.github.com/users/marscher/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/marscher/subscriptions","organizations_url":"https://api.github.com/users/marscher/orgs","repos_url":"https://api.github.com/users/marscher/repos","events_url":"https://api.github.com/users/marscher/events{/privacy}","received_events_url":"https://api.github.com/users/marscher/received_events","type":"User","site_admin":false},"created_at":"2015-03-24T16:31:08Z","updated_at":"2015-03-24T16:31:08Z","body":"current situation is the following:\r\nregspace c extension defines assignment and its used in regspace and uniform time clustering.\r\n\r\nIn the future I would suggest to refactor regspace to clustering and also implement kmeans there to have everything in one place, since linking against own modules causes some headaches."}}