code: def titanic_model_tf(titanic_dataset):
      model = TitanicSimpleTFModel()
      model(titanic_dataset["x_batch"], training=False)
      model.load_weights("tests/assets/titanic_model_tensorflow.keras")
      return model
  
imports: import pytest
  import pickle
  import torch
  import numpy
  from keras.datasets import cifar10
  import pandas
  from sklearn.model_selection import train_test_split
  import os
  from quantus.helpers.model.models import LeNet, LeNetTF, CifarCNNModel, ConvNet1D, ConvNet1DTF, TitanicSimpleTFModel, TitanicSimpleTorchModel
label_desc: Use image node_id 18 for calling a global function with example usage: titanic_model_tf(titanic_dataset) and returns: model