code: def _createMultiClassClassificationMetrics(self):
      return [
          tf.keras.metrics.Precision(name="precision@2", top_k=2),
          tf.keras.metrics.Precision(name="precision@3", top_k=3),
          tf.keras.metrics.Recall(name="recall@2", top_k=2),
          tf.keras.metrics.Recall(name="recall@3", top_k=3),
      ]
  
imports: import tempfile
  import unittest
  from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.evaluators import keras_util
  from tensorflow_model_analysis.metrics import metric_types
label_desc: Use image node_id 4 for calling the KerasSavedModelUtilTest obj's underlying member method code with example usage: obj._createMultiClassClassificationMetrics() and returns: list