[scikit-learn] Introducing PyMilo: A New Way to Transport Pre-trained ML Models

[Adrin]

Hi,

This seems somewhat similar but less complete than `skops.io`. You might
wanna have a look there: https://github.com/skops-dev/skops/

On Thu, Sep 28, 2023 at 3:22 PM Sepand Haghighi via scikit-learn <
scikit-learn at python.org> wrote:

> Dear all,
>
> We are thrilled to introduce PyMilo, an open-source Python package that
> can revolutionize the way you transport pre-trained machine-learning
> models. PyMilo offers an efficient, secure, and transparent method that
> aims to eliminate the risks associated with binary or pickle formats.
>
> *Why PyMilo?*
>
> The motivation behind developing this package is simple but significant:
> to provide a safer and more reliable way to share machine learning models.
> As we embark on this journey, we acknowledge that PyMilo is still in its
> early stages of development. Currently, it supports only a limited number
> of machine learning models provided by Scikit-learn.
>
> *Your Feedback Matters*
>
> We firmly believe in the power of community collaboration. This is why
> we're reaching out to you, the Scikit-learn users, to ask for your support
> in utilizing PyMilo and providing us with your invaluable feedback. Your
> insights can help us enhance the package's interface and prioritize future
> developments.
>
> *How You Can Contribute*
>
> - Try PyMilo with your *Scikit-learn* models and let us know about your
> experience.
> - Share your thoughts on improving PyMilo's functionality and usability.
> - Report any issues or bugs you encounter.
>
> Your cooperation would be precious to us as we work towards making PyMilo
> a robust and indispensable tool for the machine learning community.
>
> *Get Started*
>
> To start using PyMilo, you can find detailed documentation and
> installation instructions on our GitHub repository:
>
> GitHub - openscilab/pymilo: PyMilo: Python for ML I/O
> <https://github.com/openscilab/pymilo>
>
> GitHub - openscilab/pymilo: PyMilo: Python for ML I/O
>
> PyMilo: Python for ML I/O. Contribute to openscilab/pymilo development by
> creating an account on GitHub.
> <https://github.com/openscilab/pymilo>
>
>
>
> Join us in shaping the future of model transportation with Pymilo!
>
> Thank you for your time and support. We look forward to your active
> participation in this exciting endeavor.
>
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mail.python.org/pipermail/scikit-learn/attachments/20230928/2a7b6c8c/attachment-0001.html>