Tour of UnionML: An Open Source framework for Building Machine Learn Microservices
summary
Claims an open source MLOps framework that reduces boilerplate and unifies tooling into one app and shows it actually builds and serves a working microservice. Demonstrates a digit classifier trained with logistic regression on a prepared dataset, uses PyTorch TensorFlow or scikit learn interchangeably, and deploys via UnionML serve to a FastAPI endpoint after installing with pip install unionml. Mentions serverless, Kubernetes and Flyte integrations and the demo runs end to end.
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