code: def __init__(
      self,
      backcast_size: int,
      forecast_size: int,
      out_features: int = 1,
  ):
      super().__init__()
      self.out_features = out_features
      self.forecast_size = forecast_size
      self.backcast_size = backcast_size
  
imports: from typing import Tuple, Optional
  import numpy
  import torch
  import torch.nn
  from ..losses.pytorch import MAE
  from ..common._base_windows import BaseWindows
label_desc: Use image node_id 1 to create a new IdentityBasis object from inherited base classes: nn with example: obj = IdentityBasis(backcast_size, forecast_size, out_features)