I’m working on rating prediction, more especially on sub-rating. People tend to not rate every proposed aspects. In order to alleviate the training, I would like to know if there exists a way to mimic efficiently the parameter ignore_index or CrossEntropyLoss or NLLLoss but using instead MSELoss.