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Galileo-Galilei / kedro-mlflow-tutorial

A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and serve kedro pipeline
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Document deployment in API mode with Docker #11

Open Galileo-Galilei opened 2 years ago

Galileo-Galilei commented 2 years ago

Deploying kedro pipelines saved as Mlflow Models is a commonly required feature, as can be seen in the original repo https://github.com/Galileo-Galilei/kedro-mlflow/issues/241.

Exposing kedro pipelines as API is a commonly required features, and I will document how to deploy a model in a container.