{"action":"created","issue":{"url":"https://api.github.com/repos/antoinecarme/pyaf/issues/98","repository_url":"https://api.github.com/repos/antoinecarme/pyaf","labels_url":"https://api.github.com/repos/antoinecarme/pyaf/issues/98/labels{/name}","comments_url":"https://api.github.com/repos/antoinecarme/pyaf/issues/98/comments","events_url":"https://api.github.com/repos/antoinecarme/pyaf/issues/98/events","html_url":"https://github.com/antoinecarme/pyaf/issues/98","id":358745138,"node_id":"MDU6SXNzdWUzNTg3NDUxMzg=","number":98,"title":"Add XGBoost based models","user":{"login":"antoinecarme","id":16481992,"node_id":"MDQ6VXNlcjE2NDgxOTky","avatar_url":"https://avatars3.githubusercontent.com/u/16481992?v=4","gravatar_id":"","url":"https://api.github.com/users/antoinecarme","html_url":"https://github.com/antoinecarme","followers_url":"https://api.github.com/users/antoinecarme/followers","following_url":"https://api.github.com/users/antoinecarme/following{/other_user}","gists_url":"https://api.github.com/users/antoinecarme/gists{/gist_id}","starred_url":"https://api.github.com/users/antoinecarme/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/antoinecarme/subscriptions","organizations_url":"https://api.github.com/users/antoinecarme/orgs","repos_url":"https://api.github.com/users/antoinecarme/repos","events_url":"https://api.github.com/users/antoinecarme/events{/privacy}","received_events_url":"https://api.github.com/users/antoinecarme/received_events","type":"User","site_admin":false},"labels":[{"id":484923396,"node_id":"MDU6TGFiZWw0ODQ5MjMzOTY=","url":"https://api.github.com/repos/antoinecarme/pyaf/labels/class:Bench","name":"class:Bench","color":"1d76db","default":false},{"id":460723172,"node_id":"MDU6TGFiZWw0NjA3MjMxNzI=","url":"https://api.github.com/repos/antoinecarme/pyaf/labels/class:enhancement","name":"class:enhancement","color":"84b6eb","default":false},{"id":486548181,"node_id":"MDU6TGFiZWw0ODY1NDgxODE=","url":"https://api.github.com/repos/antoinecarme/pyaf/labels/priority:high","name":"priority:high","color":"ffff00","default":false},{"id":722366205,"node_id":"MDU6TGFiZWw3MjIzNjYyMDU=","url":"https://api.github.com/repos/antoinecarme/pyaf/labels/status:new","name":"status:new","color":"ffa500","default":false},{"id":498770913,"node_id":"MDU6TGFiZWw0OTg3NzA5MTM=","url":"https://api.github.com/repos/antoinecarme/pyaf/labels/topic:modeling_quality","name":"topic:modeling_quality","color":"bfdadc","default":false}],"state":"open","locked":false,"assignee":{"login":"antoinecarme","id":16481992,"node_id":"MDQ6VXNlcjE2NDgxOTky","avatar_url":"https://avatars3.githubusercontent.com/u/16481992?v=4","gravatar_id":"","url":"https://api.github.com/users/antoinecarme","html_url":"https://github.com/antoinecarme","followers_url":"https://api.github.com/users/antoinecarme/followers","following_url":"https://api.github.com/users/antoinecarme/following{/other_user}","gists_url":"https://api.github.com/users/antoinecarme/gists{/gist_id}","starred_url":"https://api.github.com/users/antoinecarme/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/antoinecarme/subscriptions","organizations_url":"https://api.github.com/users/antoinecarme/orgs","repos_url":"https://api.github.com/users/antoinecarme/repos","events_url":"https://api.github.com/users/antoinecarme/events{/privacy}","received_events_url":"https://api.github.com/users/antoinecarme/received_events","type":"User","site_admin":false},"assignees":[{"login":"antoinecarme","id":16481992,"node_id":"MDQ6VXNlcjE2NDgxOTky","avatar_url":"https://avatars3.githubusercontent.com/u/16481992?v=4","gravatar_id":"","url":"https://api.github.com/users/antoinecarme","html_url":"https://github.com/antoinecarme","followers_url":"https://api.github.com/users/antoinecarme/followers","following_url":"https://api.github.com/users/antoinecarme/following{/other_user}","gists_url":"https://api.github.com/users/antoinecarme/gists{/gist_id}","starred_url":"https://api.github.com/users/antoinecarme/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/antoinecarme/subscriptions","organizations_url":"https://api.github.com/users/antoinecarme/orgs","repos_url":"https://api.github.com/users/antoinecarme/repos","events_url":"https://api.github.com/users/antoinecarme/events{/privacy}","received_events_url":"https://api.github.com/users/antoinecarme/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-09-10T18:41:32Z","updated_at":"2018-09-11T08:59:05Z","closed_at":null,"author_association":"OWNER","body":"Need to evaluate models of the type :\r\n\r\nTransformed_Signal = Trend + Periodic + XGBoostRegressor(target = PeriodicResidue, input = PeriodicResidue_Lags)\r\n\r\nOf course, this is done inside the competition (all possible combinations of transformations, trends and periodics are tested).\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/antoinecarme/pyaf/issues/comments/420200334","html_url":"https://github.com/antoinecarme/pyaf/issues/98#issuecomment-420200334","issue_url":"https://api.github.com/repos/antoinecarme/pyaf/issues/98","id":420200334,"node_id":"MDEyOklzc3VlQ29tbWVudDQyMDIwMDMzNA==","user":{"login":"antoinecarme","id":16481992,"node_id":"MDQ6VXNlcjE2NDgxOTky","avatar_url":"https://avatars3.githubusercontent.com/u/16481992?v=4","gravatar_id":"","url":"https://api.github.com/users/antoinecarme","html_url":"https://github.com/antoinecarme","followers_url":"https://api.github.com/users/antoinecarme/followers","following_url":"https://api.github.com/users/antoinecarme/following{/other_user}","gists_url":"https://api.github.com/users/antoinecarme/gists{/gist_id}","starred_url":"https://api.github.com/users/antoinecarme/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/antoinecarme/subscriptions","organizations_url":"https://api.github.com/users/antoinecarme/orgs","repos_url":"https://api.github.com/users/antoinecarme/repos","events_url":"https://api.github.com/users/antoinecarme/events{/privacy}","received_events_url":"https://api.github.com/users/antoinecarme/received_events","type":"User","site_admin":false},"created_at":"2018-09-11T08:59:05Z","updated_at":"2018-09-11T08:59:05Z","author_association":"OWNER","body":"Easy to implement,. A generic scikit-learn model can already be used (SVR models are alreay OK).\r\n\r\nA new package dependency\r\n\r\n```\r\npip install xgboost\r\n``` "}}
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