class_docstr: Log-space in and out
code: def __init__(
      self,
      mlp: torch.nn.Module,
      has_user_feat: bool = False,
  ) -> None:
      super().__init__()
      self.mlp = mlp
      self.has_user_feat = has_user_feat
  
file_path: ReAgent/reagent/models/mlp_scorer.py
imports: import reagent.core.types
  import torch
  from reagent.models.base import ModelBase
label_desc: Use image node_id 1 to create a new MLPScorer object from inherited base classes: ModelBase with example: obj = MLPScorer(mlp, has_user_feat)