code: def __init__(self, num_feature) -> None:
      super().__init__()
      self.dense = nn.Linear(num_feature, 1)
  
imports: import multiprocessing
  import threading
  from multiprocessing import Process
  import unittest
  import numpy
  import pandas
  import os
  import torch
  from bigdl.ppml.fl.nn.fl_context import init_fl_context
  from bigdl.ppml.fl.nn.pytorch.utils import set_one_like_parameter
  from bigdl.ppml.fl.nn.fl_server import FLServer
  from torch import Tensor, nn
  import logging
  from bigdl.ppml.fl.estimator import Estimator
  from bigdl.ppml.fl.utils import FLTest
  from typing import List
label_desc: Use image node_id 1 to create a new LogisticRegressionNetwork1 object from inherited base classes: nn with example: obj = LogisticRegressionNetwork1(num_feature)