code: def __init__(self):
      self.loss_fn = torch.nn.MSELoss(reduction="sum")
  
imports: import logging
  import pytest
  import numpy
  import pandas
  import torch
  import torch.nn
  from torch import optim
  from torch.autograd import Variable
  from sklearn import datasets
  from sklearn.preprocessing import StandardScaler
  from sklearn.model_selection import StratifiedShuffleSplit
  from sklearn.linear_model import LogisticRegression
  from sklearn.svm import SVC
  from scipy.stats import pearsonr
  from art.attacks.evasion import LowProFool
  from art.estimators.classification.scikitlearn import ScikitlearnLogisticRegression
  from art.estimators.classification import PyTorchClassifier
  from art.estimators.classification.scikitlearn import ScikitlearnSVC
  from tests.utils import ARTTestException
label_desc: Use image node_id 1 to create a new NeuralNetwork object  with example: obj = NeuralNetwork()