(2) meta-testing: the trained metrics in M is applied to meta-testing tasks denoted as where each T 0 i is a fewshot learning task consisting of both training and testing data as is a small labeled set for generating the prediction model M 0 i for each T 0 i .
m 0 i s are kNN-based predictors built upon the metrics in m. We will detail the construction of m 0 i in Section 3, Eq.