{"action":"reopened","issue":{"url":"https://api.github.com/repos/dmlc/xgboost/issues/2274","repository_url":"https://api.github.com/repos/dmlc/xgboost","labels_url":"https://api.github.com/repos/dmlc/xgboost/issues/2274/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/xgboost/issues/2274/comments","events_url":"https://api.github.com/repos/dmlc/xgboost/issues/2274/events","html_url":"https://github.com/dmlc/xgboost/issues/2274","id":227388023,"node_id":"MDU6SXNzdWUyMjczODgwMjM=","number":2274,"title":"Running predict in parallel","user":{"login":"FelixNeutatz","id":5217389,"node_id":"MDQ6VXNlcjUyMTczODk=","avatar_url":"https://avatars3.githubusercontent.com/u/5217389?v=4","gravatar_id":"","url":"https://api.github.com/users/FelixNeutatz","html_url":"https://github.com/FelixNeutatz","followers_url":"https://api.github.com/users/FelixNeutatz/followers","following_url":"https://api.github.com/users/FelixNeutatz/following{/other_user}","gists_url":"https://api.github.com/users/FelixNeutatz/gists{/gist_id}","starred_url":"https://api.github.com/users/FelixNeutatz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/FelixNeutatz/subscriptions","organizations_url":"https://api.github.com/users/FelixNeutatz/orgs","repos_url":"https://api.github.com/users/FelixNeutatz/repos","events_url":"https://api.github.com/users/FelixNeutatz/events{/privacy}","received_events_url":"https://api.github.com/users/FelixNeutatz/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2017-05-09T14:35:21Z","updated_at":"2018-09-25T08:39:10Z","closed_at":null,"author_association":"NONE","body":"Hi everybody,\r\n\r\nI am a big fan of parallel training in XGBoost. However, in my latest project I came to the point that prediction became the bottleneck. First, I tried to parallelize using naive Python multithreading, but I recognized that the model is not thread-safe as reported here: https://groups.google.com/forum/#!searchin/xgboost-user/predict$20thread%7Csort:relevance/xgboost-user/h0WCVGJUv_A/cFT3o1v9MSwJ\r\n\r\nIs there some trick to do prediction in parallel anyways? (I don't want to setup Flink or Spark. I would appreciate to stay in the Python setup.)\r\n\r\nThank you for your help.\r\n\r\nBest regards,\r\nFelix\r\n\r\nP.S. This is a repost of https://groups.google.com/forum/#!topic/xgboost-user/ZqwOnioP0y8 \r\nSince I didn't get any answer there, I try it here again :)"}}
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