HI ML Practitioners,

I want to ask you all how are you productionizing your ML workloads? Are you using ML Flow?

Whats your take on ML Flow Recipies? Lets get the conversation started.

MLflow Recipes (previously known as MLflow Pipelines) is a framework that enables data scientists to quickly develop high-quality models and deploy them to production. Compared to ad-hoc ML workflows, MLflow Recipes offers several major benefits.