Closed Werty18 closed 1 year ago
This is just a training strategy in meta-learning, either you can randomly select models or select first 2 models for every iteration, which all depends on you. Note that, we keep a queue to ensure the variance of each selection in our implementation.
Hi, in paper it has been mentioned that the models will be selected randomly during meta learning (training phase). However, in model.py file, in line 264, only the first 2 models is selected every time as meta train models. Should not it be random from 3 models?