f98d8886d3ee70765debc6ab06ed71ef891a91bd,niftynet/evaluation/base_evaluator.py,BaseEvaluator,evaluate_next,#BaseEvaluator#Any#Any#Any#,68

Before Change

               [currently not used]
        :return: a ResultsDictionary object
        
        metrics = ResultsDictionary()

        for evaluation in self.evaluations:
            results = evaluation(subject_id, data)
            metrics.update_all(results)
        return metrics

    def aggregate(self, result_dict):
        

After Change

               [currently not used]
        :return: a list of pandas.DataFrame objects
        
        metrics = []
        for evaluation in self.evaluations:
            metrics += evaluation(subject_id, data)
        return metrics

Instances