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 batch mode with airflow #10
This issue will keep track of expected documentation to deploy in batch mode with an orchestrator. Given the traction about airflow (https://github.com/Galileo-Galilei/kedro-mlflow/issues/44) and its popularities, this will be the one used for the example
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.
This issue will keep track of expected documentation to deploy in batch mode with an orchestrator. Given the traction about airflow (https://github.com/Galileo-Galilei/kedro-mlflow/issues/44) and its popularities, this will be the one used for the example