{"action":"closed","issue":{"url":"https://api.github.com/repos/flennerhag/mlens/issues/47","repository_url":"https://api.github.com/repos/flennerhag/mlens","labels_url":"https://api.github.com/repos/flennerhag/mlens/issues/47/labels{/name}","comments_url":"https://api.github.com/repos/flennerhag/mlens/issues/47/comments","events_url":"https://api.github.com/repos/flennerhag/mlens/issues/47/events","html_url":"https://github.com/flennerhag/mlens/issues/47","id":248935620,"number":47,"title":"Kernel keep dying when running lightGBM","user":{"login":"TengGao","id":12945862,"avatar_url":"https://avatars2.githubusercontent.com/u/12945862?v=4","gravatar_id":"","url":"https://api.github.com/users/TengGao","html_url":"https://github.com/TengGao","followers_url":"https://api.github.com/users/TengGao/followers","following_url":"https://api.github.com/users/TengGao/following{/other_user}","gists_url":"https://api.github.com/users/TengGao/gists{/gist_id}","starred_url":"https://api.github.com/users/TengGao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TengGao/subscriptions","organizations_url":"https://api.github.com/users/TengGao/orgs","repos_url":"https://api.github.com/users/TengGao/repos","events_url":"https://api.github.com/users/TengGao/events{/privacy}","received_events_url":"https://api.github.com/users/TengGao/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":10,"created_at":"2017-08-09T07:01:39Z","updated_at":"2017-08-20T14:28:43Z","closed_at":"2017-08-20T14:28:43Z","body":"I ran the sample kernel script from kaggle: https://www.kaggle.com/flennerhag/ml-ensemble-scikit-learn-style-ensemble-learning\r\n\r\nThe script will run without issue. But, when I add a lightGBM to the base learner, the script will run for hours without finishing the calculation. I changed the nthread=1 (from -1), and set the Evaluator to backend='threading', njobs=1, and remove the xgboost from the base learner, the kernel will die whenever running the fit method. \r\n\r\nHere is the parameter for the lightgbm:\r\nlgb = LGBMRegressor(objective='regression', nthread=1,seed=SEED)\r\n'lgb':\r\n                   {'learning_rate': uniform(0.02,0.04),\r\n                    'num_leaves': randint(50, 60),\r\n                    'n_estimators': randint(150,200),\r\n                    'min_child_weight': randint(30,60)}\r\n\r\nsetup for the Evaluator:\r\n\r\nevl = Evaluator(scorer,\r\n                cv=2,\r\n                random_state=SEED,\r\n                verbose=5,\r\n                backend='threading',\r\n                n_jobs=1\r\n               )\r\n\r\nPlease let me know if I need to provide any more info.\r\nbest\r\nMike"}}
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