Adding a check in the TargetManager.py class that all provided splits are not empty.
This avoids getting an error after costly training if the test set was empty. (Closes #79)
Adding double-check if the cuda device from the out.yml file is available for the Inferencer
module in cuda_device.py (Closes #73)
Simplifying the predict example.
Manual path correction is no longer necessary. Also added fix for mapped_predictions to show up correctly
30.05.2023 - Version 0.5.0
Maintenance
TargetManager.pyclass that all provided splits are not empty. This avoids getting an error after costly training if the test set was empty. (Closes #79)cuda_device.py(Closes #73)