开源软件名称：

scikit-learn

开源软件地址：

https://gitee.com/mirrors/scikit-learn

开源软件介绍：

scikit-learn is a Python module for machine learning built on top ofSciPy and is distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summerof Code project, and since then many volunteers have contributed. Seethe About us pagefor a list of core contributors.

It is currently maintained by a team of volunteers.

Website: https://scikit-learn.org

Installation

Dependencies

scikit-learn requires:

Python (>= 3.8)
NumPy (>= 1.17.3)
SciPy (>= 1.3.2)
joblib (>= 1.0.0)
threadpoolctl (>= 2.0.0)

Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4.scikit-learn 1.0 and later require Python 3.7 or newer.scikit-learn 1.1 and later require Python 3.8 or newer.

Scikit-learn plotting capabilities (i.e., functions start with plot_ andclasses end with "Display") require Matplotlib (>= 3.1.2).For running the examples Matplotlib >= 3.1.2 is required.A few examples require scikit-image >= 0.14.5, a few examplesrequire pandas >= 1.0.5, some examples require seaborn >=0.9.0.

User installation

If you already have a working installation of numpy and scipy,the easiest way to install scikit-learn is using pip:

pip install -U scikit-learn

or conda:

conda install -c conda-forge scikit-learn

The documentation includes more detailed installation instructions.

Changelog

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

Development

We welcome new contributors of all experience levels. The scikit-learncommunity goals are to be helpful, welcoming, and effective. TheDevelopment Guidehas detailed information about contributing code, documentation, tests, andmore. We've included some basic information in this README.

Important links

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

Source code

You can check the latest sources with the command:

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

Contributing

To learn more about making a contribution to scikit-learn, please see ourContributing guide.

Testing

After installation, you can launch the test suite from outside the sourcedirectory (you will need to have pytest >= 5.0.1 installed):

pytest sklearn

See the web page https://scikit-learn.org/dev/developers/advanced_installation.html#testingfor more information.

Random number generation can be controlled during testing by settingthe SKLEARN_SEED environment variable.

Submitting a Pull Request

Before opening a Pull Request, have a look at thefull Contributing page to make sure your code complieswith our guidelines: https://scikit-learn.org/stable/developers/index.html

Project History

The project was started in 2007 by David Cournapeau as a Google Summerof Code project, and since then many volunteers have contributed. Seethe About us pagefor 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.