{"action":"closed","issue":{"url":"https://api.github.com/repos/dmlc/xgboost/issues/809","repository_url":"https://api.github.com/repos/dmlc/xgboost","labels_url":"https://api.github.com/repos/dmlc/xgboost/issues/809/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/xgboost/issues/809/comments","events_url":"https://api.github.com/repos/dmlc/xgboost/issues/809/events","html_url":"https://github.com/dmlc/xgboost/issues/809","id":131984418,"number":809,"title":"support DART - new regularization = dropout trees during learning","user":{"login":"gugatr0n1c","id":17110787,"avatar_url":"https://avatars.githubusercontent.com/u/17110787?v=3","gravatar_id":"","url":"https://api.github.com/users/gugatr0n1c","html_url":"https://github.com/gugatr0n1c","followers_url":"https://api.github.com/users/gugatr0n1c/followers","following_url":"https://api.github.com/users/gugatr0n1c/following{/other_user}","gists_url":"https://api.github.com/users/gugatr0n1c/gists{/gist_id}","starred_url":"https://api.github.com/users/gugatr0n1c/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gugatr0n1c/subscriptions","organizations_url":"https://api.github.com/users/gugatr0n1c/orgs","repos_url":"https://api.github.com/users/gugatr0n1c/repos","events_url":"https://api.github.com/users/gugatr0n1c/events{/privacy}","received_events_url":"https://api.github.com/users/gugatr0n1c/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/dmlc/xgboost/labels/call-for-contribution","name":"call-for-contribution","color":"fbca04"},{"url":"https://api.github.com/repos/dmlc/xgboost/labels/enhancement","name":"enhancement","color":"84b6eb"}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":24,"created_at":"2016-02-07T16:50:55Z","updated_at":"2016-07-10T17:06:00Z","closed_at":"2016-07-10T17:06:00Z","body":"There is nice article about dropout from neural nets, applied to gradient boosting:\r\n\r\nhttp://arxiv.org/pdf/1505.01866.pdf\r\n\r\nIt is about drop out some trees during learning process and rescale weight of trees because of that...\r\nIt can help to accuracy...\r\n\r\nThanx for consideration..."}}
{"actor":{"display_login":"tqchen"}}