class_docstr: EmbMarginLoss, regularization on embeddings
class_docstr_tok: ["EmbMarginLoss",",","regularization","on","embeddings"]
code: def __init__(self, power=2):
      super(EmbMarginLoss, self).__init__()
      self.power = power
  
file_path: RecBole/recbole/model/loss.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new EmbMarginLoss object from inherited base classes: nn with example: obj = EmbMarginLoss(power)