******
|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.
Links
=====
* `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>`__
Install
=======
Install with ``pip``
--------------------
|pypi|
::
pip install glearn
Install with ``conda``
----------------------
|conda-version|
::
conda install -c s-ameli glearn
Docker Image
------------
|docker-pull| |deploy-docker|
::
docker pull sameli/glearn
Supported Platforms
===================
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| |
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+ +-------------------+--------+-------+-------+-------+-------+-------+-------+-------+ +
| | ARM-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |
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| 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
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.. |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.`
Supported GPU Architectures
===========================
``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| |
+-----------------+---------+---------+---------+---------+---------+---------+---------+--------+
Documentation
=============
|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>`__
How to Contribute
=================
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>`__.
How to Cite
===========
If you publish work that uses ``glearn``, please consider citing the manuscripts available `here <https://ameli.github.io/glearn/cite.html>`__.
License
=======
|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
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.. |binder| image:: https://mybinder.org/badge_logo.svg
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"description": "******\n|logo|\n******\n\n``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.\n\nLinks\n=====\n\n* `Documentation <https://ameli.github.io/glearn>`__\n* `PyPI <https://pypi.org/project/glearn/>`__\n* `Anaconda <https://anaconda.org/s-ameli/glearn>`__\n* `Docker Hub <https://hub.docker.com/r/sameli/glearn>`__\n* `Github <https://github.com/ameli/glearn>`__\n\nInstall\n=======\n\nInstall with ``pip``\n--------------------\n\n|pypi|\n\n::\n\n pip install glearn\n\nInstall with ``conda``\n----------------------\n\n|conda-version|\n\n::\n\n conda install -c s-ameli glearn\n\nDocker Image\n------------\n\n|docker-pull| |deploy-docker|\n\n::\n\n docker pull sameli/glearn\n\nSupported Platforms\n===================\n\nSuccessful installation and tests performed on the following operating systems, architectures, and Python and `PyPy <https://www.pypy.org/>`__ versions:\n\n.. |y| unicode:: U+2714\n.. |n| unicode:: U+2716\n\n+----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+\n| Platform | Arch | Device | Python Version | PyPy Version :sup:`1` | Continuous |\n+ | + +-------+-------+-------+-------+-------+-------+-------+ Integration +\n| | | | 3.9 | 3.10 | 3.11 | 3.12 | 3.8 | 3.9 | 3.10 | |\n+==========+===================+========+=======+=======+=======+=======+=======+=======+=======+=================+\n| Linux | X86-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |build-linux| |\n+ + +--------+-------+-------+-------+-------+-------+-------+-------+ +\n| | | GPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |\n+ +-------------------+--------+-------+-------+-------+-------+-------+-------+-------+ +\n| | AARCH-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |\n+ + +--------+-------+-------+-------+-------+-------+-------+-------+ +\n| | | GPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |\n+----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+\n| macOS | X86-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |build-macos| |\n+ + +--------+-------+-------+-------+-------+-------+-------+-------+ +\n| | | GPU | |n| | |n| | |n| | |n| | |n| | |n| | |n| | |\n+ +-------------------+--------+-------+-------+-------+-------+-------+-------+-------+ +\n| | ARM-64 | CPU | |y| | |y| | |y| | |y| | |y| | |y| | |y| | |\n+ + +--------+-------+-------+-------+-------+-------+-------+-------+ +\n| | | GPU | |n| | |n| | |n| | |n| | |n| | |n| | |n| | |\n+----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+\n| Windows | X86-64 | CPU | |y| | |y| | |y| | |y| | |n| | |n| | |n| | |build-windows| |\n+ + +--------+-------+-------+-------+-------+-------+-------+-------+ +\n| | | GPU | |y| | |y| | |y| | |y| | |n| | |n| | |n| | |\n+----------+-------------------+--------+-------+-------+-------+-------+-------+-------+-------+-----------------+\n\n.. |build-linux| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/build-linux.yml\n :target: https://github.com/ameli/glearn/actions?query=workflow%3Abuild-linux \n.. |build-macos| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/build-macos.yml\n :target: https://github.com/ameli/glearn/actions?query=workflow%3Abuild-macos\n.. |build-windows| image:: https://img.shields.io/github/actions/workflow/status/ameli/glearn/build-windows.yml\n :target: https://github.com/ameli/glearn/actions?query=workflow%3Abuild-windows\n\nPython 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>`__. 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