In this PR, I'm fixing a design issue inherited from the original mlflow platform. In this case, when someone instantiates an experiment with default values, instead of letting the server set the artifact_location, we are setting it as ./mlruns to avoid non-absolute directories (breaking logging artifacts).
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In this PR, I'm fixing a design issue inherited from the original
mlflowplatform. In this case, when someone instantiates an experiment with default values, instead of letting the server set theartifact_location, we are setting it as./mlrunsto avoid non-absolute directories (breaking logging artifacts).