问题描述
根据其文档，xgboost具有n_jobs参数.但是，当我尝试设置n_jobs时，出现此错误:
According to its documentation, xgboost has an n_jobs parameter. However, when I attempt to set n_jobs, I get this error:
TypeError: __init__() got an unexpected keyword argument 'n_jobs'
与其他一些参数(例如random_state)相同.我以为这可能是更新问题，但似乎我具有最新版本(0.6a2，随pip一起安装).
Same issue for some other parameters like random_state. I assumed this might be an update issue, but it seems I have the latest version (0.6a2, installed with pip).
对于我来说，重现该错误没有太多必要:
There isn't much needed for me to reproduce the error:
from xgboost import XGBClassifier
estimator_xGBM = XGBClassifier(max_depth = 5, learning_rate = 0.05, n_estimators = 400, n_jobs = -1).fit(x_train)
有什么想法吗?
推荐答案
我昨天(25.09.2017)安装了xgboost:
I installed xgboost yesterday (25.09.2017):
如果使用pip或conda进行安装，则xgboost版本不支持n_jobs参数.仅nthreads参数.
If you install with pip or conda, the xgboost version does not support the n_jobs parameter; only the nthreads parameter.
如果您是从github仓库构建xgboost的，则可以使用n_jobs.
If you build xgboost from github repository, you can use n_jobs though.
参考-此处
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