loongson/pypi/: scikit-learn-1.0.2 metadata and description

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A set of python modules for machine learning and data mining

classifiers
  • Intended Audience :: Science/Research
  • Intended Audience :: Developers
  • License :: OSI Approved
  • Programming Language :: C
  • Programming Language :: Python
  • Topic :: Software Development
  • Topic :: Scientific/Engineering
  • Development Status :: 5 - Production/Stable
  • Operating System :: Microsoft :: Windows
  • Operating System :: POSIX
  • Operating System :: Unix
  • Operating System :: MacOS
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.7
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: Implementation :: CPython
  • Programming Language :: Python :: Implementation :: PyPy
download_url https://pypi.org/project/scikit-learn/#files
license new BSD
maintainer Andreas Mueller
maintainer_email amueller@ais.uni-bonn.de
platform
  • UNKNOWN
project_urls
  • Bug Tracker, https://github.com/scikit-learn/scikit-learn/issues
  • Documentation, https://scikit-learn.org/stable/documentation.html
  • Source Code, https://github.com/scikit-learn/scikit-learn
provides_extras tests
requires_dist
  • numpy (>=1.14.6)
  • scipy (>=1.1.0)
  • joblib (>=0.11)
  • threadpoolctl (>=2.0.0)
  • matplotlib (>=2.2.3) ; extra == 'benchmark'
  • pandas (>=0.25.0) ; extra == 'benchmark'
  • memory-profiler (>=0.57.0) ; extra == 'benchmark'
  • matplotlib (>=2.2.3) ; extra == 'docs'
  • scikit-image (>=0.14.5) ; extra == 'docs'
  • pandas (>=0.25.0) ; extra == 'docs'
  • seaborn (>=0.9.0) ; extra == 'docs'
  • memory-profiler (>=0.57.0) ; extra == 'docs'
  • sphinx (>=4.0.1) ; extra == 'docs'
  • sphinx-gallery (>=0.7.0) ; extra == 'docs'
  • numpydoc (>=1.0.0) ; extra == 'docs'
  • Pillow (>=7.1.2) ; extra == 'docs'
  • sphinx-prompt (>=1.3.0) ; extra == 'docs'
  • sphinxext-opengraph (>=0.4.2) ; extra == 'docs'
  • matplotlib (>=2.2.3) ; extra == 'examples'
  • scikit-image (>=0.14.5) ; extra == 'examples'
  • pandas (>=0.25.0) ; extra == 'examples'
  • seaborn (>=0.9.0) ; extra == 'examples'
  • matplotlib (>=2.2.3) ; extra == 'tests'
  • scikit-image (>=0.14.5) ; extra == 'tests'
  • pandas (>=0.25.0) ; extra == 'tests'
  • pytest (>=5.0.1) ; extra == 'tests'
  • pytest-cov (>=2.9.0) ; extra == 'tests'
  • flake8 (>=3.8.2) ; extra == 'tests'
  • black (>=21.6b0) ; extra == 'tests'
  • mypy (>=0.770) ; extra == 'tests'
  • pyamg (>=4.0.0) ; extra == 'tests'
requires_python >=3.7

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
scikit-learn-1.0.2.tar.gz
Size
6 MB
Type
Source
  • Replaced 5 time(s)
  • Uploaded to loongson/pypi by loongson 2022-08-26 07:30:15
scikit_learn-1.0.2-cp36-cp36m-linux_loongarch64.whl
Size
22 MB
Type
Python Wheel
Python
3.6
scikit_learn-1.0.2-cp37-cp37m-linux_loongarch64.whl
Size
21 MB
Type
Python Wheel
Python
3.7
scikit_learn-1.0.2-cp38-cp38-linux_loongarch64.whl
Size
25 MB
Type
Python Wheel
Python
3.8
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  • Uploaded to loongson/pypi by loongson 2022-08-26 06:21:32
scikit_learn-1.0.2-cp39-cp39-linux_loongarch64.whl
Size
25 MB
Type
Python Wheel
Python
3.9
  • Replaced 1 time(s)
  • Uploaded to loongson/pypi by loongson 2022-08-26 07:30:08
scikit_learn-1.0.2-py3.8-linux-loongarch64.egg
Size
28 MB
Type
Python Egg
Python
3.8

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https://raw.githubusercontent.com/scikit-learn/scikit-learn/main/doc/logos/scikit-learn-logo.png

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

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: https://scikit-learn.org

Installation

Dependencies

scikit-learn requires:

  • Python (>= 3.7)
  • NumPy (>= 1.14.6)
  • SciPy (>= 1.1.0)
  • joblib (>= 0.11)
  • threadpoolctl (>= 2.0.0)

Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. scikit-learn 0.23 and later require Python 3.6 or newer. scikit-learn 1.0 and later require Python 3.7 or newer.

Scikit-learn plotting capabilities (i.e., functions start with plot_ and classes end with “Display”) require Matplotlib (>= 2.2.3). For running the examples Matplotlib >= 2.2.3 is required. A few examples require scikit-image >= 0.14.5, a few examples require pandas >= 0.25.0, 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 changelog for a history of notable changes to scikit-learn.

Development

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.

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 our Contributing guide.

Testing

After installation, you can launch the test suite from outside the source directory (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#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: https://scikit-learn.org/stable/developers/index.html

Project History

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.