https://github.com/skops-dev/skops

skops is a Python library helping you share your scikit-learn based models and put them in production
https://github.com/skops-dev/skops

hacktoberfest huggingface machine-learning mlops scikit-learn

Last synced: 2 months ago
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skops is a Python library helping you share your scikit-learn based models and put them in production

• Host: GitHub
• URL: https://github.com/skops-dev/skops
• Owner: skops-dev
• License: mit
• Created: 2022-05-04T13:30:17.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-05T15:19:35.000Z (5 months ago)
• Last Synced: 2024-01-05T16:32:40.169Z (5 months ago)
• Topics: hacktoberfest, huggingface, machine-learning, mlops, scikit-learn
• Language: Python
• Homepage: https://skops.readthedocs.io/en/stable/
• Size: 967 KB
• Stars: 385
• Watchers: 10
• Forks: 49
• Open Issues: 33
• Metadata Files:
  • Readme: README.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE
  • Roadmap: docs/roadmap.rst

Lists

• awesome-production-machine-learning - skops - dev/skops.svg?style=social) - skops is a Python library helping you share your scikit-learn based models and put them in production. (Model Serving and Monitoring)
• awesome-stars - skops - learn based models and put them in production | skops-dev | 425 | (Python)

README

        
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SKOPS

=====

``skops`` is a Python library helping you share your `scikit-learn

`__ 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 on

  `Hugging Face Hub `__, mainly through

  ``skops.hub_utils.init`` and ``skops.hub_utils.push``. You can see all the

  models uploaded to the hub using this library `here

  `__. Find out more `here

  `__.

- ``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 the

  ``README.md`` file on the Hugging Face Hub, with pre-populated metadata to

  help Hub understand the model. More information can be found `here

  `__.

- ``skops.io``: Secure persistence of sklearn estimators and more, without using

  ``pickle``. Visit `the docs

  `__ for more

  information.

Please refer to our `documentation `_

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

`_ 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.