code: def forward(self, x):
      lin1_out = self.linear1(x)
      sigmoid_out1 = self.sigmoid1(lin1_out)
      sigmoid_out2 = self.sigmoid2(self.linear2(sigmoid_out1))
      return self.softmax(self.linear3(sigmoid_out2))
  
imports: import os
  from argparse import ArgumentParser
  import matplotlib.pyplot
  import numpy
  import pandas
  import torch
  from captum.attr import IntegratedGradients, LayerConductance, NeuronConductance
  from prettytable import PrettyTable
  from scipy import stats
  from sklearn.model_selection import train_test_split
  from torch import nn
  import mlflow
label_desc: Use image node_id 2 for calling the TitanicSimpleNNModel obj's underlying member method code with example usage: obj.forward(x) and returns: self