code: def __init__(self, num_features: int):
      super().__init__()
      self.__layer = nn.Linear(num_features, 1, bias=True)
      self.__loss = nn.BCEWithLogitsLoss()
  
imports: import numpy
  import torch
  from torch import nn
  from typing import Any, Dict, Iterator, NamedTuple, Optional, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel, ModuleWithMetrics
  from ptgnn.baseneuralmodel.utils.data import enforce_not_None
  from ptgnn.tests.simplemodel.data import SampleDatapoint
label_desc: Use image node_id 1 to create a new SimpleRegressionNetwork object from inherited base classes: ModuleWithMetrics with example: obj = SimpleRegressionNetwork(num_features)