scikit-learn - Jupyter 笔记本导入错误 : No module named 'sklearn'

Question

我正在尝试在我的本地机器上运行。我收到一个错误
ImportError:仅在 jupyter 笔记本中没有名为“sklearn”的模块
当我从命令行使用 python 并激活和停用 carnd-term1 env 时，它工作正常。

我已经用 pip、apt-get 和 conda 安装了 sklearn。还尝试了 conda upgrade scikit-learn。 env 处于事件状态和停用状态。

(carnd-term1) matt@Malta:~/sdc$ conda upgrade scikit-learn
Fetching package metadata .........
Solving package specifications: .
# All requested packages already installed.
# packages in environment at /home/matt/anaconda3/envs/carnd-term1:
#
scikit-learn 0.18.1 np112py35_1

(carnd-term1) matt@Malta:~/sdc$ python3
Python 3.5.2 | packaged by conda-forge | (default, Jan 19 2017, 15:28:33) 
[GCC 4.8.2 20140120 (Red Hat 4.8.2-15)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import sklearn
>>>

   ...: (carnd-term1) matt@Malta:~/sdc$ ipython
   ...: Python 3.5.2 | packaged by conda-forge | (default, Jan 19 2017, 15:28:33) 
   ...: Type "copyright", "credits" or "license" for more information.
   ...: 
   ...: IPython 5.1.0 -- An enhanced Interactive Python.
   ...: ?         -> Introduction and overview of IPython's features.
   ...: %quickref -> Quick reference.
   ...: help      -> Python's own help system.
   ...: object?   -> Details about 'object', use 'object??' for extra details.
   ...: 
   ...: In [1]: import sklearn
   ...: 
   ...: In [2]: from sklearn.model_selection import train_test_split
   ...: 
   ...: In [3]: (carnd-term1) matt@Malta:~/sdc$ ipython
   ...:    ...: Python 3.5.2 | packaged by conda-forge | (default, Jan 19 2017, 15:28:33) 
   ...:    ...: Type "copyright", "credits" or "license" for more information.
   ...:    ...: 
   ...:    ...: IPython 5.1.0 -- An enhanced Interactive Python.
   ...:    ...: ?         -> Introduction and overview of IPython's features.
   ...:    ...: %quickref -> Quick reference.
   ...:    ...: help      -> Python's own help system.
   ...:    ...: object?   -> Details about 'object', use 'object??' for extra details.
   ...:    ...: 
   ...:    ...: In [1]: import sklearn
   ...:    ...: 
   ...:    ...: In [2]: from sklearn.model_selection import train_test_split
   ...:    ...: 
   ...:    ...: In [3]:

不适用于 jupyter 笔记本。

有任何想法吗？

Answer 1

这一般意味着两者不是同一个环境。最好检查一下 sys.executable并确保这是您所期望的。如果是笔记本没有使用 sys.executable您期望，第一步可能是检查您的路径:

which jupyter
which jupyter-notebook

最可能的问题是笔记本堆栈不在您的 conda 环境中，您可以通过以下方式解决:

conda install notebook

第二个最有可能的是您安装了覆盖您的环境的内核规范(例如，使用 ipython kernel install --user )。你可以看到你的内核在哪里:

jupyter kernelspec list

为确保您在同一环境中安装了 IPython 内核，您可以执行以下操作:

conda install ipykernel
ipython kernelspec install --sys-prefix

并检查 jupyter kernelspec list之后再次。