class_docstr: Random is an fundamental model that recommends random items.
class_docstr_tok: ["Random","is","an","fundamental","model","that","recommends","random","items","."]
code: def full_sort_predict(self, interaction):
      batch_user_num = interaction[self.USER_ID].shape[0]
      result = torch.rand(self.n_items, 1).to(torch.float64)
      result = torch.repeat_interleave(
          result.unsqueeze(0), batch_user_num, dim=0
      )
      return result.view(-1)
  
file_path: RecBole/recbole/model/general_recommender/random.py
imports: import torch
  import random
  from recbole.model.abstract_recommender import GeneralRecommender
  from recbole.utils import InputType, ModelType
label_desc: Use image node_id 5 for calling the Random obj's underlying member method code with example usage: obj.full_sort_predict(interaction) and returns: result