Evaluation process Evaluation process should be implemented for specific task or model, related parameters have been initialized in ``BaseTrainer.__init__`` and should be used in this function
(self, checkpoint_path: str, *args,
**kwargs)
| 80 | |
| 81 | @abstractmethod |
| 82 | def evaluate(self, checkpoint_path: str, *args, |
| 83 | **kwargs) -> Dict[str, float]: |
| 84 | """ Evaluation process |
| 85 | |
| 86 | Evaluation process should be implemented for specific task or |
| 87 | model, related parameters have been initialized in |
| 88 | ``BaseTrainer.__init__`` and should be used in this function |
| 89 | """ |
| 90 | pass |
| 91 | |
| 92 | |
| 93 | @TRAINERS.register_module(module_name='dummy') |