code: def create_model():
      # create model
      model = Sequential()
      # 103 is the number of X columns after the get_dummies() call
      model.add(Dense(12, input_dim=103, activation="relu"))
      model.add(Dense(8, activation="relu"))
      model.add(Dense(1, activation="sigmoid"))
      # Compile model
      model.compile(
          loss="binary_crossentropy",
          optimizer="adam",
          metrics=["accuracy"],
      )
      return model
  
file_path: fairlearn/test_othermlpackages/test_tensorflow.py
imports: import pytest
  from fairlearn.reductions import DemographicParity
  from fairlearn.adversarial import AdversarialFairnessClassifier
  from .None import package_test_common
  from scikeras.wrappers import KerasClassifier
  from tensorflow.keras.layers import Dense
  from tensorflow.keras.models import Sequential
label_desc: Use image node_id 1 for calling a global function with example usage: create_model() and returns: model