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Python sklearn机器学习库的安装大坑 抛砖引玉 求大神!

2017-12-28 17:44 309 查看
本人机器学习小白 最近迷上了python机器学习 但小弟是做安卓开发的 有点python的基础  希望可以学习 自我提升一下有机会转行更好 啊哈哈
话说回来
万事开头难!!!
在我安装忘numpy scipy matplotlib 等一些基础库之后并且能顺利的在shell中import 说明安装成功了 
到了最后的步骤 需要安装sklearn库的时候  也提示安装成功了 在import的时候就报错了 日了狗了
============错误1  =========

>>> import sklearn 
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Python/2.7/site-packages/sklearn/__init__.py", line 134, in <module>
    from .base import clone
  File "/Library/Python/2.7/site-packages/sklearn/base.py", line 13, in <module>
    from .utils.fixes import signature
  File "/Library/Python/2.7/site-packages/sklearn/utils/__init__.py", line 11, in <module>
    from .validation import (as_float_array,
  File "/Library/Python/2.7/site-packages/sklearn/utils/validation.py", line 18, in <module>
    from ..utils.fixes import signature
  File "/Library/Python/2.7/site-packages/sklearn/utils/fixes.py", line 144, in <module>
    from scipy.sparse.linalg import lsqr as sparse_lsqr  # noqa
  File "/Library/Python/2.7/site-packages/scipy/sparse/linalg/__init__.py", line 114, in <module>
    from .isolve import *
  File "/Library/Python/2.7/site-packages/scipy/sparse/linalg/isolve/__init__.py", line 6, in <module>
    from .iterative import *
  File "/Library/Python/2.7/site-packages/scipy/sparse/linalg/isolve/iterative.py", line 7, in <module>
    from . import _iterative
ImportError: dlopen(/Library/Python/2.7/site-packages/scipy/sparse/linalg/isolve/_iterative.so, 2): no suitable image found.  Did find:
/Library/Python/2.7/site-packages/scipy/sparse/linalg/isolve/_iterative.so: mach-o, but wrong architecture

============错误2 =========
>>> from sklearn import datasets
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Python/2.7/site-packages/sklearn/__init__.py", line 133, in <module>
    from . import __check_build

在网上找了好久 各种方法都试过了 还是同样的错误 
自己弄了两天 浪费两天的时间  今天实在是 受不鸟了  向困难屈服了 不是不是mac os 的问题
果断转去下载了 anaconda !!!!!!
希望给力!!
希望有大神看到 能给小弟已解释 先行谢过!!!!!!
附下载地址 :
https://www.anaconda.com/download/#download
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