class_docstr: Base class for all models
class_docstr_tok: ["Base","class","for","all","models"]
code: def __init__(self):
      self.logger = getLogger()
      super(AbstractRecommender, self).__init__()
  
imports: from logging import getLogger
  import numpy
  import torch
  import torch.nn
  from recbole.model.layers import FMEmbedding, FMFirstOrderLinear, FLEmbedding
  from recbole.utils import ModelType, InputType, FeatureSource, FeatureType, set_color
label_desc: Use image node_id 1 to create a new AbstractRecommender object from inherited base classes: nn with example: obj = AbstractRecommender()