Serving models from the Model Registry
The MLflow Model Registry not only provides a centralized location for collaboration and for managing the lifecycle of models, but it also provides a way to easily deploy models based on specific versions and stages.
MLflow provides the serve command as part of the MLflow command line to serve models as an API for model inference. Which of the following serve commands is used to serve the production version of our "Insurance
" model from the Model Registry?
This exercise is part of the course
Introduction to MLflow
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
