{"action":"created","issue":{"url":"https://api.github.com/repos/cosmir/openmic-2018/issues/10","repository_url":"https://api.github.com/repos/cosmir/openmic-2018","labels_url":"https://api.github.com/repos/cosmir/openmic-2018/issues/10/labels{/name}","comments_url":"https://api.github.com/repos/cosmir/openmic-2018/issues/10/comments","events_url":"https://api.github.com/repos/cosmir/openmic-2018/issues/10/events","html_url":"https://github.com/cosmir/openmic-2018/issues/10","id":351772498,"node_id":"MDU6SXNzdWUzNTE3NzI0OTg=","number":10,"title":"Tutorial Notebook - End-to-end modeling baseline","user":{"login":"ejhumphrey","id":926379,"node_id":"MDQ6VXNlcjkyNjM3OQ==","avatar_url":"https://avatars0.githubusercontent.com/u/926379?v=4","gravatar_id":"","url":"https://api.github.com/users/ejhumphrey","html_url":"https://github.com/ejhumphrey","followers_url":"https://api.github.com/users/ejhumphrey/followers","following_url":"https://api.github.com/users/ejhumphrey/following{/other_user}","gists_url":"https://api.github.com/users/ejhumphrey/gists{/gist_id}","starred_url":"https://api.github.com/users/ejhumphrey/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ejhumphrey/subscriptions","organizations_url":"https://api.github.com/users/ejhumphrey/orgs","repos_url":"https://api.github.com/users/ejhumphrey/repos","events_url":"https://api.github.com/users/ejhumphrey/events{/privacy}","received_events_url":"https://api.github.com/users/ejhumphrey/received_events","type":"User","site_admin":false},"labels":[{"id":1026434544,"node_id":"MDU6TGFiZWwxMDI2NDM0NTQ0","url":"https://api.github.com/repos/cosmir/openmic-2018/labels/todo","name":"todo","color":"efb16e","default":false}],"state":"open","locked":false,"assignee":{"login":"simondurand","id":25984205,"node_id":"MDQ6VXNlcjI1OTg0MjA1","avatar_url":"https://avatars0.githubusercontent.com/u/25984205?v=4","gravatar_id":"","url":"https://api.github.com/users/simondurand","html_url":"https://github.com/simondurand","followers_url":"https://api.github.com/users/simondurand/followers","following_url":"https://api.github.com/users/simondurand/following{/other_user}","gists_url":"https://api.github.com/users/simondurand/gists{/gist_id}","starred_url":"https://api.github.com/users/simondurand/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/simondurand/subscriptions","organizations_url":"https://api.github.com/users/simondurand/orgs","repos_url":"https://api.github.com/users/simondurand/repos","events_url":"https://api.github.com/users/simondurand/events{/privacy}","received_events_url":"https://api.github.com/users/simondurand/received_events","type":"User","site_admin":false},"assignees":[{"login":"simondurand","id":25984205,"node_id":"MDQ6VXNlcjI1OTg0MjA1","avatar_url":"https://avatars0.githubusercontent.com/u/25984205?v=4","gravatar_id":"","url":"https://api.github.com/users/simondurand","html_url":"https://github.com/simondurand","followers_url":"https://api.github.com/users/simondurand/followers","following_url":"https://api.github.com/users/simondurand/following{/other_user}","gists_url":"https://api.github.com/users/simondurand/gists{/gist_id}","starred_url":"https://api.github.com/users/simondurand/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/simondurand/subscriptions","organizations_url":"https://api.github.com/users/simondurand/orgs","repos_url":"https://api.github.com/users/simondurand/repos","events_url":"https://api.github.com/users/simondurand/events{/privacy}","received_events_url":"https://api.github.com/users/simondurand/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-08-18T00:15:28Z","updated_at":"2018-09-18T16:45:01Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"This notebook will demonstrate how to model the data from start to finish:\r\n- [x] Partition the data using the predefined splits\r\n- [x] Train a basic sklearn model (Random Forest?)\r\n- [x] Compute evaluation measures for train and test\r\n- [ ] Visualize micro / macro statistics\r\n- [x] Compute VGGish features from audio\r\n- [x] Perform end-to-end prediction\r\n\r\n@bmcfee similar to #9, feel free to add checklist items"},"comment":{"url":"https://api.github.com/repos/cosmir/openmic-2018/issues/comments/422465744","html_url":"https://github.com/cosmir/openmic-2018/issues/10#issuecomment-422465744","issue_url":"https://api.github.com/repos/cosmir/openmic-2018/issues/10","id":422465744,"node_id":"MDEyOklzc3VlQ29tbWVudDQyMjQ2NTc0NA==","user":{"login":"simondurand","id":25984205,"node_id":"MDQ6VXNlcjI1OTg0MjA1","avatar_url":"https://avatars0.githubusercontent.com/u/25984205?v=4","gravatar_id":"","url":"https://api.github.com/users/simondurand","html_url":"https://github.com/simondurand","followers_url":"https://api.github.com/users/simondurand/followers","following_url":"https://api.github.com/users/simondurand/following{/other_user}","gists_url":"https://api.github.com/users/simondurand/gists{/gist_id}","starred_url":"https://api.github.com/users/simondurand/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/simondurand/subscriptions","organizations_url":"https://api.github.com/users/simondurand/orgs","repos_url":"https://api.github.com/users/simondurand/repos","events_url":"https://api.github.com/users/simondurand/events{/privacy}","received_events_url":"https://api.github.com/users/simondurand/received_events","type":"User","site_admin":false},"created_at":"2018-09-18T16:45:01Z","updated_at":"2018-09-18T16:45:01Z","author_association":"COLLABORATOR","body":"First iteration pushed to `https://github.com/cosmir/openmic-2018/tree/durand/baseline`.\r\nIt still needs quite a lot of polishing but should run smoothly."}}
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