{"action":"created","issue":{"url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/122","repository_url":"https://api.github.com/repos/pavanramkumar/pyglmnet","labels_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/122/labels{/name}","comments_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/122/comments","events_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/122/events","html_url":"https://github.com/pavanramkumar/pyglmnet/pull/122","id":157280344,"number":122,"title":"[DOC] pyglmnet application and comparison against sklearn & refactoring of the developer documentation","user":{"login":"marquesVF","id":8534191,"avatar_url":"https://avatars.githubusercontent.com/u/8534191?v=3","gravatar_id":"","url":"https://api.github.com/users/marquesVF","html_url":"https://github.com/marquesVF","followers_url":"https://api.github.com/users/marquesVF/followers","following_url":"https://api.github.com/users/marquesVF/following{/other_user}","gists_url":"https://api.github.com/users/marquesVF/gists{/gist_id}","starred_url":"https://api.github.com/users/marquesVF/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/marquesVF/subscriptions","organizations_url":"https://api.github.com/users/marquesVF/orgs","repos_url":"https://api.github.com/users/marquesVF/repos","events_url":"https://api.github.com/users/marquesVF/events{/privacy}","received_events_url":"https://api.github.com/users/marquesVF/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":14,"created_at":"2016-05-27T19:58:53Z","updated_at":"2016-05-31T16:12:50Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/pavanramkumar/pyglmnet/pulls/122","html_url":"https://github.com/pavanramkumar/pyglmnet/pull/122","diff_url":"https://github.com/pavanramkumar/pyglmnet/pull/122.diff","patch_url":"https://github.com/pavanramkumar/pyglmnet/pull/122.patch"},"body":"I've been working on this application example using a real dataset to make a comparison between pyglmnet and sklearn. I think it should be reviewed for correctness and maybe it's incomplete and/or need more textual explanations. Anyway, I think this file can be used a start point.\r\n\r\nThe comparison is made with two approaches: r square and mean squared error (both implementations offered by sklearn). And the result are:\r\n\r\n> r^2 on test data using pyglmnet : 0.673593\r\n> mean square error on test data using pyglmnet : 0.010287\r\n> r^2 on test data using sklearn : 0.727229\r\n> mean square error on test data using sklearn : 0.010266\r\n\r\nThe plot also gives useful insights."},"comment":{"url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/comments/222738938","html_url":"https://github.com/pavanramkumar/pyglmnet/pull/122#issuecomment-222738938","issue_url":"https://api.github.com/repos/pavanramkumar/pyglmnet/issues/122","id":222738938,"user":{"login":"coveralls","id":2354108,"avatar_url":"https://avatars.githubusercontent.com/u/2354108?v=3","gravatar_id":"","url":"https://api.github.com/users/coveralls","html_url":"https://github.com/coveralls","followers_url":"https://api.github.com/users/coveralls/followers","following_url":"https://api.github.com/users/coveralls/following{/other_user}","gists_url":"https://api.github.com/users/coveralls/gists{/gist_id}","starred_url":"https://api.github.com/users/coveralls/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/coveralls/subscriptions","organizations_url":"https://api.github.com/users/coveralls/orgs","repos_url":"https://api.github.com/users/coveralls/repos","events_url":"https://api.github.com/users/coveralls/events{/privacy}","received_events_url":"https://api.github.com/users/coveralls/received_events","type":"User","site_admin":false},"created_at":"2016-05-31T16:12:50Z","updated_at":"2016-05-31T16:12:50Z","body":"\n[![Coverage Status](https://coveralls.io/builds/6402615/badge)](https://coveralls.io/builds/6402615)\n\nCoverage remained the same at 93.87% when pulling **1510f46967516e3d90de9e77bac8ed82fd8b652b on marquesVF:master** into **bb3b90a1b84c6d946aba68005d7e1a6f4c6d9065 on pavanramkumar:master**.\n"}}
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