TURegCheckpoint#
- class torch_uncertainty.callbacks.TURegCheckpoint(probabilistic=False, save_last=False)[source]#
Keep multiple checkpoints corresponding to the best model in terms of: Mean Squared Error, and eventually the Negative Log-Likelihood and Quantile Calibration Error.
- Parameters:
probabilistic (bool, optional) – If
True, also tracks the Negative Log-Likelihood and the Quantile Calibration Error. Default toFalse.save_last (bool | "link", optional) – When
True, saves a last.ckpt copy whenever a checkpoint file gets saved. Can be set to"link"on a local filesystem to create a symbolic link. This allows accessing the latest checkpoint in a deterministic manner. Default toFalse.