Hey team, I would like to understand more about mlflow setting in kedro. In

mlflow.yml

, we have some parameters already. Like

mlflow_tracking_uri

,

experiment name

, ... But how can I define an

artifact_uri

, which is in

s3

? Can I simply add a parameter into

mlflow.yml

, under server:

artifact_uri: <s3://myuri>

? Another thing, how could I load parameters from other

.yml

file into

mlflow.yml

? Thank you in advance!

Someone will reply to you shortly. In the meantime, this might help:

I haven't worked directly with MLflow artifacts on S3 myself, but this discussion might help: https://github.com/Galileo-Galilei/kedro-mlflow/issues/15

If you refer to the artifact_uri specific to an experiment, you can specify it in :

tracking:
  experiment:
    create_experiment_kwargs: # will be used only if the experiment does not exist yet and is created.    
        artifact_location: null # enable to specify an artifact location for the