bentoml
feature: Support for River models in BentoML
Feature request
We have been developing and experimenting river (https://riverml.xyz/latest/api/overview/) for training and inferencing time series and continuous machine learning tasks and would like to add support for river in BentoML.
We have also created a custom python module to add river models using MLflow which can be saved in the BentoML model's repository and later can be retrieved from the BentoML for inferencing.
Motivation
River offers a diverse selection of ML models for online learning that are much more efficient than the sklearn models, and integrating this MLflow would create a comprehensive ML solution.
Other
I would love to contribute the code that I've created and would like to submit a PR, but I'd appreciate it if you could put me in the right direction.
Dear team, did you get a chance to review this request if not please do, as I would be glad to upload a PR with the relevant code changes.
