skops
skops copied to clipboard
skops is a Python library helping you share your scikit-learn based models and put them in production
.. -- mode: rst --
|readthedocs| |github-actions| |Codecov| |PyPi| |Black|
.. |readthedocs| image:: https://readthedocs.org/projects/skops/badge/?version=latest&style=flat :target: https://skops.readthedocs.io/en/latest/ :alt: Documentation
.. |github-actions| image:: https://github.com/skops-dev/skops/workflows/pytest/badge.svg :target: https://github.com/skops-dev/skops/actions :alt: Linux, macOS, Windows tests
.. |Codecov| image:: https://codecov.io/gh/skops-dev/skops/branch/main/graph/badge.svg :target: https://codecov.io/gh/skops-dev/skops :alt: Codecov
.. |PyPi| image:: https://img.shields.io/pypi/v/skops :target: https://pypi.org/project/skops :alt: PyPi
.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/psf/black :alt: Black
.. image:: https://raw.githubusercontent.com/skops-dev/skops/main/docs/images/logo.png :width: 500 :target: https://skops.readthedocs.io/en/latest/
SKOPS
skops
is a Python library helping you share your scikit-learn <https://scikit-learn.org/stable/>
__ based models and put them in production.
At the moment, it includes tools to easily integrate models on the Hugging Face
Hub, which allows you to share your models, make them discoverable, and use the
Hub's API inference and widgets to get outputs of the model without having to
download or load the model.
-
skops.hub_utils
: tools to create a model repository to be stored onHugging Face Hub <https://hf.co/models>
__, mainly throughskops.hub_utils.init
andskops.hub_utils.push
. -
skops.card
: tools to create a model card explaining what the model does and how it should be used. The model card can then be stored as theREADME.md
file on the Hugging Face Hub, with pre-populated metadata to help Hub understand the model.
Please refer to our documentation <https://skops.readthedocs.io/en/latest/>
_
on using the library as user, which includes user guides on the above topics as
well as complete examples explaining how the features can be used.
If you want to contribute to the library, please refer to our contributing <CONTRIBUTING.rst>
_ guidelines.
Installation
You can install this library using:
.. code-block:: bash
python -m pip install skops
Bug Reports and Questions
Please send all your questions and report issues on this repository's issue tracker as an issue. Try to look for existing ones before you create a new one.