class_docstr: Aggregates metrics using keras model.evaluate method.
class_docstr_tok: ["Aggregates","metrics","using","keras","model.evaluate","method","."]
code: def _metrics(self) -> Iterable[tf.keras.metrics.Metric]:
      return self._model.metrics
  
imports: import collections
  from itertools import chain
  from typing import Dict, Iterable, List, Optional
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.metrics import tf_metric_accumulators
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import model_util
  from tensorflow_model_analysis.utils import util
label_desc: Use image node_id 2 for calling the _KerasEvaluateCombiner obj's underlying member method code with example usage: obj._metrics() and returns: self