code: def test_fit_evaluate(self):
      self.model.fit_eval(
          data=(self.x_train, self.y_train),
          validation_data=(self.x_val, self.y_val),
          **self.config,
      )
      self.model.evaluate(self.x_val, self.y_val)
  
file_path: analytics-zoo/pyzoo/test/zoo/chronos/model/test_mtnet.py
imports: import shutil
  import pytest
  from test.zoo.pipeline.utils.test_utils import ZooTestCase
  from zoo.chronos.model.MTNet_keras import MTNetKeras
  from zoo.chronos.autots.deprecated.feature.time_sequence import TimeSequenceFeatureTransformer
  import pandas
  import numpy
  import tensorflow
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 4 for calling the TestMTNetKeras obj's underlying member method code with example usage: obj.test_fit_evaluate() without return types