Highlights
- upgraded
pytorch_lightningto version1.6.4 - updated test script, api largely backported
- Updated example for LSTM/HistGBT
Changes in API:
-
pl_trainer.run_training_with_mlflow:-
Call Signature updated
- dataloaders can be now passed directly here instead of in wrapped model
- instead of instantiated trainer, arguments supported by pytorch lightning Trainer is passed as Namespace/ArgumentParser
-
Return type updated. validation/test input and outputs (e.g.
y_val,y_pred) are now numpy not torch tensors
-