Added

• Added input replacing, masked mean, and attention support to InputLayer. This allows the models to handle NaN inputs. More details in the preprint How to deal w___ missing input data. Use nan_handling_method and related config arguments to control this behavior. Note that the sample validation remains unchanged, i.e., during training we only allow simulating NaNs through nan_step_probability/nan_sequence_probability.
• BaseDataset now returns dynamic features as a dictionary and no longer as a merged "x_d" tensor. This makes it much easier to build models like MC-LSTM that handle certain inputs (e.g., precipitation) seperately from the other inputs.
• MacOS Metal accelerator support (#213, thanks @tberends)
• Allow changing the run directory for evaluation (#195, thanks @BaptisteFrancois)

Fixes

• Hourly frequency identifiers changed from H to h. This resolves pandas deprecation warnings.
• Fixed metrics writing when cfg.metrics is specified as all and when doing multi-target prediction
• Fixed FLV metrics docstring (#203, thanks @XuHuanHydro)
• Fixed forecast configuration documentation
• Fixed forecast overlap regularization
• Updated CI workflow