def update_metrics()

in ludwig/features/sequence_feature.py [0:0]

• 8 lines of code
• 5 McCabe index (conditional complexity)

    def update_metrics(self, targets, predictions):
        for metric, metric_fn in self.metric_functions.items():
            if metric == LOSS or metric == PERPLEXITY:
                metric_fn.update_state(targets, predictions)
            elif metric == LAST_ACCURACY:
                metric_fn.update_state(targets, predictions[LAST_PREDICTIONS])
            else:
                metric_fn.update_state(targets, predictions[PREDICTIONS])