class_docstr: ItemKNN is a basic model that compute item similarity with the interaction matrix.
class_docstr_tok: ["ItemKNN","is","a","basic","model","that","compute","item","similarity","with","the","interaction","matrix","."]
code: def calculate_loss(self, interaction):
      return torch.nn.Parameter(torch.zeros(1))
  
file_path: RecBole/recbole/model/general_recommender/itemknn.py
imports: import numpy
  import scipy.sparse
  import torch
  from recbole.model.abstract_recommender import GeneralRecommender
  from recbole.utils import InputType, ModelType
label_desc: Use image node_id 3 for calling the ItemKNN obj's underlying member method code with example usage: obj.calculate_loss(interaction) and returns: torch