|logo|
glearn is a modular and high-performance Python package for machine learning using G\ aussian process regression with novel algorithms capable of petascale computation on multi-GPU devices.
Documentation <https://ameli.github.io/glearn>__PyPI <https://pypi.org/project/glearn/>__Anaconda <https://anaconda.org/s-ameli/glearn>__Docker Hub <https://hub.docker.com/r/sameli/glearn>__Github <https://github.com/ameli/glearn>__pip|pypi|
::
pip install glearn
conda|conda-version|
::
conda install -c s-ameli glearn
|docker-pull| |deploy-docker|
::
docker pull sameli/glearn
Successful installation and tests performed on the following operating systems, architectures, and Python and PyPy <https://www.pypy.org/>__ versions:
.. |y| unicode:: U+2714 .. |n| unicode:: U+2716
+----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+
| Platform | Arch | Device | Python Version | PyPy Version :sup:1 | Continuous |
| + +-------+-------+-------+-------+-------+-------+-------+ Integration +
| | | | 3.9 | 3.10 | 3.11 | 3.12 | 3.8 | 3.9 | 3.10 | | +==========+===================+========+=======+=======+=======+=======+=======+=======+=======+=================+ | Linux | X86-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |build-linux| |
+ +--------+-------+-------+-------+-------+-------+-------+-------+ +
| | | GPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |
+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+ +
| | AARCH-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |
+ +--------+-------+-------+-------+-------+-------+-------+-------+ +
| | | GPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | | +----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+ | macOS | X86-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |build-macos| |
+ +--------+-------+-------+-------+-------+-------+-------+-------+ +
| | | GPU | |n| | |n| | |n| | |n| | |n| | |n| | |n| | |
+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+ +
| | ARM-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |
+ +--------+-------+-------+-------+-------+-------+-------+-------+ +
| | | GPU | |n| | |n| | |n| | |n| | |n| | |n| | |n| | | +----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+ | Windows | X86-64 | CPU | |y| | |y| | |y| | |y| | |n| | |n| | |n| | |build-windows| |
+ +--------+-------+-------+-------+-------+-------+-------+-------+ +
| | | GPU | |y| | |y| | |y| | |y| | |n| | |n| | |n| | | +----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+
.. |build-linux| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/build-linux.yml :target: https://github.com/ameli/glearn/actions?query=workflow%3Abuild-linux .. |build-macos| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/build-macos.yml :target: https://github.com/ameli/glearn/actions?query=workflow%3Abuild-macos .. |build-windows| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/build-windows.yml :target: https://github.com/ameli/glearn/actions?query=workflow%3Abuild-windows
Python wheels for glearn for all supported platforms and versions in the above are available through PyPI <https://pypi.org/project/glearn/>__ and Anaconda Cloud <https://anaconda.org/s-ameli/glearn>. If you need glearn on other platforms, architectures, and Python or PyPy versions, raise an issue <https://github.com/ameli/glearn/issues> on GitHub and we build its Python Wheel for you.
.. line-block::
:sup:`1. Wheels for PyPy are exclusively available for installation through pip and cannot be installed using conda.`
:sup:`2. Wheels for Windows on ARM-64 architecture are exclusively available for installation through pip and cannot be installed using conda.`
glearn can run on CUDA-capable multi-GPU devices. Using the docker container is the easiest way to run glearn on GPU devices. The supported GPU micro-architectures and CUDA version are as follows:
+-----------------+---------+---------+---------+---------+---------+---------+---------+--------+ | Version \ Arch | Fermi | Kepler | Maxwell | Pascal | Volta | Turing | Ampere | Hopper | +=================+=========+=========+=========+=========+=========+=========+=========+========+ | CUDA 9 | |n| | |n| | |n| | |n| | |n| | |n| | |n| | |n| | +-----------------+---------+---------+---------+---------+---------+---------+---------+--------+ | CUDA 10 | |n| | |y| | |y| | |y| | |y| | |y| | |y| | |y| | +-----------------+---------+---------+---------+---------+---------+---------+---------+--------+ | CUDA 11 | |n| | |n| | |n| | |y| | |y| | |y| | |y| | |y| | +-----------------+---------+---------+---------+---------+---------+---------+---------+--------+ | CUDA 12 | |n| | |n| | |n| | |y| | |y| | |y| | |y| | |y| | +-----------------+---------+---------+---------+---------+---------+---------+---------+--------+
|deploy-docs| |binder|
See documentation <https://ameli.github.io/glearn/index.html>__, including:
What This Packages Does? <https://ameli.github.io/glearn/overview.html>__Comprehensive Installation Guide <https://ameli.github.io/glearn/tutorials/install.html>__How to Work with Docker Container? <https://ameli.github.io/glearn/tutorials/docker.html>__How to Deploy on GPU Devices? <https://ameli.github.io/glearn/tutorials/gpu.html>__API Reference <https://ameli.github.io/glearn/api.html>__Interactive Notebook Tutorials <https://mybinder.org/v2/gh/ameli/glearn/HEAD?filepath=notebooks%2Fquick_start.ipynb>__Publications <https://ameli.github.io/glearn/cite.html>__We welcome contributions via GitHub's pull request <https://github.com/ameli/glearn/pulls>. If you do not feel comfortable modifying the code, we also welcome feature requests and bug reports as GitHub issues <https://github.com/ameli/glearn/issues>.
If you publish work that uses glearn, please consider citing the manuscripts available here <https://ameli.github.io/glearn/cite.html>__.
|license|
This project uses a BSD 3-clause license <https://github.com/ameli/glearn/blob/main/LICENSE.txt>, in hopes that it will be accessible to most projects. If you require a different license, please raise an issue <https://github.com/ameli/glearn/issues> and we will consider a dual license.
.. |logo| image:: https://raw.githubusercontent.com/ameli/glearn/main/docs/source/_static/images/icons/logo-glearn-light.svg :width: 160 .. |license| image:: https://img.shields.io/github/license/ameli/glearn :target: https://opensource.org/licenses/BSD-3-Clause .. |deploy-docs| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/deploy-docs.yml?label=docs :target: https://github.com/ameli/glearn/actions?query=workflow%3Adeploy-docs .. |binder| image:: https://mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/ameli/glearn/HEAD?filepath=notebooks%2Fquick_start.ipynb .. |pypi| image:: https://img.shields.io/pypi/v/glearn :target: https://pypi.org/project/glearn/ .. |codecov-devel| image:: https://img.shields.io/codecov/c/github/ameli/glearn :target: https://codecov.io/gh/ameli/glearn .. |deploy-docker| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/deploy-docker.yml?label=build%20docker :target: https://github.com/ameli/glearn/actions?query=workflow%3Adeploy-docker .. |docker-pull| image:: https://img.shields.io/docker/pulls/sameli/glearn?color=green&label=downloads :target: https://hub.docker.com/r/sameli/glearn .. |conda-version| image:: https://img.shields.io/conda/v/s-ameli/glearn :target: https://anaconda.org/s-ameli/glearn
FAQs
Gaussian Process for Machine Learning
We found that glearn demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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