If I'm not overlooking anything, there is no convenient way to access predictions that are stored in a run. The run object only exposes functions which use the data internally (e.g. get_metric_fn). Internally predictions are downloaded and processed (here).

I propose we add a predictions property which can serve the predictions in dataframe format through lazy loading. The remainder of the code should then also be refactored to use this property.