code: def __init__(self, hparams) -> None:
      super().__init__()
      self.ff = nn.Linear(hparams.input_size, 1)
      self.sigmoid = nn.Sigmoid()
  
imports: from turtle import hideturtle
  import pytorch_lightning
  import torch
  import torch.nn.functional
  import torch.nn
  from pytorch_lightning import seed_everything
  from pathlib import Path
  from src.transformer.transformer_utils import *
  from src.transformer.metrics import CorrectedBAcc, CorrectedF1, CorrectedMCC, AUL
  import torchmetrics
label_desc: Use image node_id 1 to create a new LogisticRegression object from inherited base classes: nn with example: obj = LogisticRegression(hparams)