NannyML Regression v0.8.0 - OSS Python library for detecting silent ML model failure

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Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. Alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance

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Wow, another good one from the Nanny. Good luck guys!
Thanks for the support!
What a team and what a project!!!
Thanks Hamza! Always appreciate your approach
Congratulation on the release! I've been following NannyML for a while now, and feel we need to make something together!
Thanks Kacper! Absolutely! Always happy to collaborate
This is awesome guys! Congrats on your launch! ๐Ÿพ๐ŸŽ‰๐Ÿฅ‚๐ŸŽŠ
Thanks Chuck!
Congrats on the new launch!!
Thanks Madalena =D
NannyML's Product Designer here! With this update weโ€™ve made such big strides forward in terms of usability, flexibility, and catering to even more use cases. Huge thanks to all the user testers and research participants who have helped us to learn more about all the different ways people use ML models, how they monitor them, and how they want to monitor them. In the year since I joined NannyML weโ€™ve come leaps and bounds forward with our understanding, and hope this update will be the first of many that make a real difference to folks who want to better understand how their models are working once theyโ€™re running.
Thanks for being onboard Bobbu!
Congrats NannyML team, on the launch.
Thank you
Congrats and team on the progress. It would be super interesting from now. Keep going! :D
Congrats to the whole NannyML team for building such an awesome tool!