7.1.24. scikit-learn

scikit-learn 是一个用于机器学习的 Python 模块，建立在 SciPy 之上，并根据 3-Clause BSD 许可证进行分发。

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us page for a list of core contributors.

It is currently maintained by a team of volunteers.

Website: http://scikit-learn.org

7.1.24.1. 安装

依赖

scikit-learn requires:

- Python (>= 3.5)
- NumPy (>= 1.11.0)
- SciPy (>= 0.17.0)

**Scikit-learn 0.20 was the last version to support Python2.7.**
Scikit-learn 0.21 and later require Python 3.5 or newer.

For running the examples Matplotlib >= 1.5.1 is required.
A few examples
require scikit-image >= 0.12.3, a few examples require pandas >= 0.18.0
and a few example require joblib >= 0.11.

scikit-learn also uses CBLAS, the C interface to the Basic Linear Algebra
Subprograms library.
scikit-learn comes with a reference implementation, but
the system CBLAS will be detected by the build system and used if present.
CBLAS exists in many implementations; see `Linear algebra libraries
<http://scikit-learn.org/stable/modules/computing#linear-algebra-libraries>`_
for known issues.

User installation

如果您已经安装了 numpy 和 scipy，安装 scikit-learn 的最简单方法是使用pip :

pip install -U scikit-learn

或者conda:

conda install scikit-learn

该文档包含更详细的安装说明.

7.1.24.2. 更新日志

See the changelog for a history of notable changes to scikit-learn.

7.1.24.3. 发展

We welcome new contributors of all experience levels. The scikit-learn community goals are to be helpful, welcoming, and effective. The Development Guide has detailed information about contributing code, documentation, tests, and more. We’ve included some basic information in this README.

重要链接

- Official source code repo: https://github.com/scikit-learn/scikit-learn
- Download releases: https://pypi.org/project/scikit-learn/
- Issue tracker: https://github.com/scikit-learn/scikit-learn/issues

源代码
~~~~~~~~~~~

You can check the latest sources with the command:

    git clone https://github.com/scikit-learn/scikit-learn.git

Setting up a development environment

Quick tutorial on how to go about setting up your environment to contribute to scikit-learn: https://github.com/scikit-learn/scikit-learn/blob/master/CONTRIBUTING.md

测试

After installation, you can launch the test suite from outside the
source directory (you will need to have ``pytest`` >= 3.3.0 installed):

    pytest sklearn

See the web page http://scikit-learn.org/dev/developers/advanced_installation.html#testing
for more information.

    Random number generation can be controlled during testing by setting
    the ``SKLEARN_SEED`` environment variable.

Submitting a Pull Request

Before opening a Pull Request, have a look at the full Contributing page to make sure your code complies with our guidelines: http://scikit-learn.org/stable/developers/index.html

7.1.24.4. 项目历史

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us page for a list of core contributors.

The project is currently maintained by a team of volunteers.

Note: scikit-learn was previously referred to as scikits.learn.

7.1.24.5. 帮助和支持

文档

- HTML documentation (stable release): http://scikit-learn.org
- HTML documentation (development version): http://scikit-learn.org/dev/
- FAQ: http://scikit-learn.org/stable/faq.html

通讯

引文

If you use scikit-learn in a scientific publication, we would appreciate citations: http://scikit-learn.org/stable/about.html#citing-scikit-learn