Python scikit-learn 和 sklearn 的区别

Difference between scikit-learn and sklearn

提问by Barry

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:

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：

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.

回溯（最近通话最后一个）：文件“”，1号线，在文件“/Library/Python/2.7/site-packages/sklearn/初始化py”为57行，从.base进口克隆文件“/库/的Python / 2.7 /站点包/ sklearn / base.py”，第11行，从.utils.fixes进口签名文件“/Library/Python/2.7/site-packages/sklearn/utils/初始化的.py”，10号线, 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, 尝试重新编译。

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

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

回答by Vinay87

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

您可能需要重新安装 numpy。它似乎没有正确安装。

sklearnis how you type the scikit-learn name in python.

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

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

此外，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。

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

你nosetests安装了吗？试试：nosetests -v sklearn。你在 bash 中输入这个，而不是在 python 解释器中。

回答by Melkor.cz

Regarding the difference sklearn vs. scikit-learn: The package "scikit-learn"is recommended to be installed using pip install scikit-learnbut in your code imported using import sklearn.

关于 sklearn 与 scikit-learn 的区别：建议使用安装包“scikit-learn”，pip install scikit-learn但在使用import sklearn.

A bit confusing, because you can also do pip install sklearnand will end up with the same scikit-learn package installed, because there is a "dummy" pypi package sklearnwhich will install scikit-learn for you.

有点令人困惑，因为您也可以这样做pip install sklearn并且最终会安装相同的 scikit-learn 包，因为有一个“虚拟” pypi 包 sklearn将为您安装 scikit-learn。

From this thread:

从这个线程：

scikit-learn is in install_requires of sklearn setup.py so you do end-up with scikit-learn installed

scikit-learn 位于 sklearn setup.py 的 install_requires 中，因此您最终安装了 scikit-learn

So:

所以：

At the end, pip install sklearnor pip install scikit-learn--- apart from the annoying sklearn (0.0)showed in the pip list--- will install the latest available build from PyPI.

最后，pip install sklearn或者pip install scikit-learn--- 除了 --- 中sklearn (0.0)显示的烦人之外，pip list将从 PyPI 安装最新的可用构建。