Closed BenjaminMidtvedt closed 8 months ago
This PR adds QoL to the training.
First, the training history can now always be accessed from the trainer:
model = dl.Regressor(...) trainer = dl.Trainer(...) trainer.fit(model, ...) trainer.history.plot()
Second, we move to using the RichProgressBar as the default. This is because it works much better with notebooks than the default TQDM
This PR adds QoL to the training.
First, the training history can now always be accessed from the trainer:
Second, we move to using the RichProgressBar as the default. This is because it works much better with notebooks than the default TQDM