code: def model_creator_multiple_metrics(config):
      """Returns a tf.keras model"""
      model = tf.keras.models.Sequential([tf.keras.layers.Dense(1)])
      model.compile(loss="mse", optimizer="sgd", metrics=["mse", "mae"])
      return model
  
file_path: BigDL/python/orca/test/bigdl/orca/automl/model/test_base_keras_model.py
imports: from unittest import TestCase
  from bigdl.orca.automl.model.base_keras_model import KerasBaseModel, KerasModelBuilder
  import numpy
  import tensorflow
  import pytest
label_desc: Use image node_id 7 for calling a global function with example usage: model_creator_multiple_metrics(config) and returns: model