ML model registry — the “interface” that binds model experiments and model deployment

MLOps in Practice — A deep- dive into ML model registries, model versioning and model lifecycle management

YUNNA WEI
Towards Data Science
8 min readFeb 16, 2023

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Background

In my previous article:

MLOps in Practice — De-constructing an ML Solution Architecture into 10 components

I talked about the architectural importance of managing model metadata and artifacts generated by ML experiment…

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Write about modern data stack, MLOps implementation patterns and data engineering best practices. Let’s connect! https://www.linkedin.com/in/yunna-wei-64769a97/