使用sklearn

安装sklearn:

1. 安装numpy matlpotlib scipy mkl

所有都用的是pip install *

2 安装scikit-learn

pip install scikit-learn

还另外做了一个步骤,去github上下载了sklearn的源码,进入文件夹后,python setup.py install

3. import sklearn发现有错误:

>>> import sklearn  
Traceback (most recent call last):  
  File "<stdin>", line 1, in <module>  
  File "sklearn/__init__.py", line 37, in <module>  
    from . import __check_build  
  File "sklearn/__check_build/__init__.py", line 46, in <module>  
    raise_build_error(e)  
  File "sklearn/__check_build/__init__.py", line 41, in raise_build_error  
    %s""" % (e, local_dir, ''.join(dir_content).strip(), msg))  
ImportError: No module named _check_build  
___________________________________________________________________________  
Contents of sklearn/__check_build:  
__init__.py               __init__.pyc              _check_build.c  
_check_build.pyx          setup.py                  setup.pyc  
___________________________________________________________________________  
It seems that scikit-learn has not been built correctly.  
  
If you have installed scikit-learn from source, please do not forget  
to build the package before using it: run `python setup.py install` or  
`make` in the source directory.  
  
If you have used an installer, please check that it is suited for your  
Python version, your operating system and your platform.  

在../python36/Lib/site-packages里面删除了numpy及numpy相关文件夹,可能因为numpy 装的时间有点久了,用pip根本不能更新的,所以重新装了一下。

运行成功。


python3.5 上装PIL:

>pip install Pillow

>>>from PIL import Image


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转载自blog.csdn.net/Yansixiliang/article/details/78527812