Seamless MLOps with Seldon and MLflow
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- čas přidán 8. 09. 2024
- Deploying and managing machine learning models at scale introduces new complexities. Fortunately, there are tools that simplify this process. In this talk we walk you through an end-to-end hands on example showing how you can go from research to production without much complexity by leveraging the Seldon Core and MLflow frameworks. We will train a set of ML models, and we will showcase a simple way to deploy them to a Kubernetes cluster through sophisticated deployment methods, including canary deployments, shadow deployments and we’ll touch upon richer ML graphs such as explainer deployments.
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whats seldon is providing which is not provided by
AIR-FLOW , KUBE-FLOW
What’s the relationship between seldon and mlflow
mlflow support seldon serving or seldon support mlflow models format.