class_docstr: Aggregates metrics using keras compiled_metrics and compiled_loss.
class_docstr_tok: ["Aggregates","metrics","using","keras","compiled_metrics","and","compiled_loss","."]
code: def _metrics(self) -> Iterable[tf.keras.metrics.Metric]:
      return chain(
          self._model.compiled_metrics.metrics,
          self._model.compiled_loss.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 _KerasCompiledMetricsCombiner obj's underlying member method code with example usage: obj._metrics() and returns: chain