Closed PeruBhardwaj closed 5 years ago
Fixed the issue - occurs only when the best value is same as initial value while early stopping i.e. it never found a better model. But FYI, the clone that you are using is very old as we stopped printing the loss per batch long ago. Kindly update the repo.
Description
If I train the model without early stopping and then with early stopping, it works fine. But on running early stopping directly, trained parameters are not found while loading the model
Actual Behavior
Expected Behavior
The code should return an array of ranks
Steps to Reproduce