Hello! Does anybody know what is the best way to log a dict metric using kedro-mlflow .`MlflowMetricHistoryDataset`and `MlflowMetricHistoryDataset`don't seem the best way to me, since it is not related to a history but rather a set of metrics generated in a node which are stored in a dict.

Hey Camilo, I think the Kedro mlflow integration for logging dictionaries might be limited as its mainly used for tracking experiments etc. It might be worth making a custom dataset so you could add logic to log your dictionary as metrics in MLflow.

Okay, thank you for the insight!