In model.py, the train method of EfficientCapsNet includes the following line:
dataset_train, dataset_val = dataset.get_tf_data()
However, get_tf_data() simply calls generate_tf_data(), which augments and returns the test dataset.
Was this done on purpose? My understanding is that the test set should remain unseen until the actual test.
Cheers!
Stijn
In model.py, the train method of EfficientCapsNet includes the following line:
dataset_train, dataset_val = dataset.get_tf_data()
However, get_tf_data() simply calls generate_tf_data(), which augments and returns the test dataset.
Was this done on purpose? My understanding is that the test set should remain unseen until the actual test.
Cheers!
Stijn