- Trainable.save(checkpoint_dir: str | None = None) _TrainingResult #
Saves the current model state to a checkpoint.
Subclasses should override
save_checkpoint()instead to save state.
checkpoint_dir – Optional dir to place the checkpoint.
The given or created checkpoint directory.
Note the return value matches up with what is expected of
DeveloperAPI: This API may change across minor Ray releases.