Method evaluate

mogen/datasets/base_dataset.py:118–124

(self, results, work_dir, logger=None)

        self.eval_indexes = np.concatenate(self.eval_indexes)

    def evaluate(self, results, work_dir, logger=None):
        metrics = {}
        for evaluator in self.evaluators:
            metrics.update(evaluator.evaluate(results))
        if logger is not None:
            logger.info(metrics)
        return metrics