scikit-learn 和 sklearn 的区别 [英] Difference between scikit-learn and sklearn

问题描述

在 OS X 10.11.6 和 python 2.7.10 上，我需要从 sklearn 流形导入.我安装了 numpy 1.8 Orc1、scipy .13 Ob1 和 scikit-learn 0.17.1.
我使用 pip 安装 sklearn(0.0)，但是当我尝试从 sklearn 流形导入时，我得到以下信息:

On OS X 10.11.6 and python 2.7.10 I need to import from sklearn manifold. I have numpy 1.8 Orc1, scipy .13 Ob1 and scikit-learn 0.17.1 installed.
I used pip to install sklearn(0.0), but when I try to import from sklearn manifold I get the following:

回溯(最近一次调用最后一次):文件"，第 1 行，在文件/Library/Python/2.7/site-packages/sklearn/init.py"，第 57 行，在从 .base 导入克隆文件/Library/Python/2.7/site-packages/sklearn/base.py"，第 11 行，在从 .utils.fixes 导入签名文件/Library/Python/2.7/site-packages/sklearn/utils/init.py"，行10、在 from .murmurhash 中导入 murmurhash3_32 文件numpy.pxd"，第 155 行，在 init sklearn.utils.murmurhash 中(sklearn/utils/murmurhash.c:5029) ValueError: numpy.dtype 有大小不对，重新编译试试.

Traceback (most recent call last): File "", line 1, in File "/Library/Python/2.7/site-packages/sklearn/init.py", line 57, in from .base import clone File "/Library/Python/2.7/site-packages/sklearn/base.py", line 11, in from .utils.fixes import signature File "/Library/Python/2.7/site-packages/sklearn/utils/init.py", line 10, in from .murmurhash import murmurhash3_32 File "numpy.pxd", line 155, in init sklearn.utils.murmurhash (sklearn/utils/murmurhash.c:5029) ValueError: numpy.dtype has the wrong size, try recompiling.

scikit-learn 和 sklearn 有什么区别?还，由于语法错误，我无法导入 scikit-learn

What is the difference between scikit-learn and sklearn? Also, I cant import scikit-learn because of a syntax error

推荐答案

您可能需要重新安装 numpy.它似乎没有正确安装.

You might need to reinstall numpy. It doesn't seem to have installed correctly.

sklearn 是你在 python 中输入 scikit-learn 名称的方式.

sklearn is how you type the scikit-learn name in python.

另外，尝试在 scikit-learn 中运行标准测试并检查输出.您将在那里获得详细的错误信息.

Also, try running the standard tests in scikit-learn and check the output. You will have detailed error information there.

您是否安装了nosetests?尝试:nosetests -v sklearn.你在 bash 中输入这个，而不是在 python 解释器中.

Do you have nosetests installed? Try: nosetests -v sklearn. You type this in bash, not in the python interpreter.

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