Python 在scikit learn'中指定say n_jobs=-1时；s包，我们需要先导入joblib.Parallel吗？

当使用scikit learn软件包（该软件包可以选择

n_作业

的值进行并行处理）时，我们是否需要首先导入

joblib.parallel

，或者scikit learn软件包是否可以在并行处理中工作，而无需首先导入

joblib.parallel

一些具有并行处理功能的scikit学习包包括：

• sklearn.linear_模型.逻辑回归

• xgboost.XGBRegressor

• xgboost.XGBClassifier

等等

Q：“…我们是否需要首先导入

joblib.Parallel

或scikit learn软件包是否需要先导入

joblib.Parallel

”

B是正确的：scikit learn将发挥作用，因为它的设计和实施是正确的，以便管理自己的内部需求，以便导入它有意依赖的任何包。这是一个专业的软件标准，它充分考虑了自身的内部依赖性，不是吗

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以下人员的奖金部分： 那些确实想看到诀窍的人-检查在一个包源代码级别上完成的继承方式，从下面报告的文件中可以明显看出：

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不，您不必导入

joblib

谢谢@Chris。查看具有并行处理选项的各种scikit学习包的源代码，如果我们没有首先导入

joblib

，包如何定位

joblib

？非常感谢。非常感谢@user3666197对您的帮助。这里的关键是scikit学习包具有来自scikit学习的baseestimator的内置继承

(base) Tue Mar 17 12:00:34 a64FX:~$ grep -R "joblib.Parallel" /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/decomposition/online_lda.py:        parallel : joblib.Parallel (optional)
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/decomposition/online_lda.py:            Pre-initialized instance of joblib.Parallel.
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/decomposition/online_lda.py:        parallel : joblib.Parallel
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/decomposition/online_lda.py:            Pre-initialized instance of joblib.Parallel
Binary file /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/decomposition/__pycache__/online_lda.cpython-35.pyc matches
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py:                print("Using %s as joblib.Parallel backend instead of %s "
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py:    """Callback used by joblib.Parallel's multiprocessing backend.
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/externals/joblib/_dask.py:        joblib.Parallel will never access those results
            /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/externals/joblib/_dask.py:        # See 'joblib.Parallel.__call__' and 'joblib.Parallel.retrieve' for how
Binary file /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/externals/joblib/__pycache__/parallel.cpython-35.pyc matches
Binary file /home/r2d2/anaconda2/pkgs/scikit-learn-0.20.0-py35h4989274_1/lib/python3.5/site-packages/sklearn/externals/joblib/__pycache__/_dask.cpython-35.pyc matches