This video explores MLflow, the go-to open-source platform for managing your machine learning projects. Learn how to streamline your workflow: manage model artifacts and metrics, register and track models, effortlessly move them to production, and deploy them for inference using MLflow endpoints. Click on Exercise 6 for containerized ML deployment.
- Category
- Hewlett Packard Enterprise
- Tags
- Ezmeral, Seismic, Spark
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