{"action":"closed","issue":{"url":"https://api.github.com/repos/dmlc/xgboost/issues/2164","repository_url":"https://api.github.com/repos/dmlc/xgboost","labels_url":"https://api.github.com/repos/dmlc/xgboost/issues/2164/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/xgboost/issues/2164/comments","events_url":"https://api.github.com/repos/dmlc/xgboost/issues/2164/events","html_url":"https://github.com/dmlc/xgboost/issues/2164","id":218320046,"node_id":"MDU6SXNzdWUyMTgzMjAwNDY=","number":2164,"title":"internally multi-threaded ","user":{"login":"QiuT-L","id":18426628,"node_id":"MDQ6VXNlcjE4NDI2NjI4","avatar_url":"https://avatars1.githubusercontent.com/u/18426628?v=4","gravatar_id":"","url":"https://api.github.com/users/QiuT-L","html_url":"https://github.com/QiuT-L","followers_url":"https://api.github.com/users/QiuT-L/followers","following_url":"https://api.github.com/users/QiuT-L/following{/other_user}","gists_url":"https://api.github.com/users/QiuT-L/gists{/gist_id}","starred_url":"https://api.github.com/users/QiuT-L/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/QiuT-L/subscriptions","organizations_url":"https://api.github.com/users/QiuT-L/orgs","repos_url":"https://api.github.com/users/QiuT-L/repos","events_url":"https://api.github.com/users/QiuT-L/events{/privacy}","received_events_url":"https://api.github.com/users/QiuT-L/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-03-30T20:35:27Z","updated_at":"2018-07-04T17:42:24Z","closed_at":"2018-07-04T17:42:24Z","author_association":"NONE","body":"We want to convert our service from python to GO service to support concurrent better. The predict() is not thread safe. can we have one Booster object in each thread and they share models loaded in the same piece of memory? Is this safe and can we expect better performance than we have with single-thread python process?\r\n\r\n"}}
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