问题描述
我正在尝试遵循sklearn提供的机器学习101教程，但我一直遇到错误.
Hi I'm trying to follow the machine learning 101 tutorial provided by sklearn, and I keep running into an error.
我从这里下载的sklearn版本最多: https://github.com/scikit -learn/scikit-learn
I have the most the sklearn version downloaded from here: https://github.com/scikit-learn/scikit-learn
我运行Windows
I run Windows
python:2.7.5(32位)
python: 2.7.5 (32bit)
scipy:.12
scipy: .12
numpy:1.7.0
numpy: 1.7.0
我跑步时
from sklearn.linear_model import LinearRegression
model = LinearRegression()
我知道
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-7-9f5ae92552bb> in <module>()
----> 1 from sklearn.linear_model import LinearRegression
2 model = LinearRegression()
C:\WinPython-32bit-2.7.5.1\python-2.7.5\lib\site-packages\sklearn\linear_model\__init__.py in <module>()
10 # complete documentation.
11
---> 12 from .base import LinearRegression
13
14 from .bayes import BayesianRidge, ARDRegression
C:\WinPython-32bit-2.7.5.1\python-2.7.5\lib\site-packages\sklearn\linear_model\base.py in <module>()
28 from ..utils.sparsefuncs import (csc_mean_variance_axis0,
29 inplace_csc_column_scale)
---> 30 from .cd_fast import sparse_std
31
32
ImportError: No module named cd_fast
并基于此: https://github.com/scikit-learn /scikit-learn/issues/1202
blas可能是错误的?但这是秘密的，我之前有这个问题，但是我只是更新了秘密，应该没问题.
It might be an error with blas? But that's in scipy, and I had problems with that earlier, but I just updated scipy and it should be fine.
请帮助！预先感谢
推荐答案
您忘了编译.在源目录或python setup.py build_ext --inplace中运行python setup.py install，或获取二进制发行版.
You forgot to compile. Run python setup.py install in the source directory, or python setup.py build_ext --inplace, or grab a binary distribution.
(许多scikit-learn实际上是用Cython，C或C ++实现的.您需要C和C ++编译器才能从源代码安装它.)
(Much of scikit-learn is actually implemented in Cython, C or C++. You need C and C++ compilers to install it from source.)
这篇关于在执行教程时使用sklearn遇到ImportError的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！