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 __init__(self, config, dataset):
      super(Random, self).__init__(config, dataset)
      torch.manual_seed(config["seed"] + self.n_users + self.n_items)
      self.fake_loss = torch.nn.Parameter(torch.zeros(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 1 to create a new Random object from inherited base classes: GeneralRecommender with example: obj = Random(config, dataset)