Joshua Beirer
08/17/2023, 3:05 AMkedro-viz
and mlflow
). It seems like both expect different data types as return values in the nodes, e.g. kedro
wants a Dict {"validation_loss" : validation_loss}
, whereas mlflow
wants a Dict[str, Union[float, List[float]]]
to also specify the training step at which the metric is taken, e.g. { "validation_loss": {"value": validation_loss, "step": -1} }
. Now, what if I would like to keep track of the metrics in both tools? Is there a better way of doing this than having two different entries in the data catalog, i.e.Yolan Honoré-Rougé
08/17/2023, 10:13 AMYury Fedotov
08/17/2023, 1:58 PM