class_docstr: Tunes Keras Model hyperparameters using the Keras Tuner.
class_docstr_tok: ["Tunes","Keras","Model","hyperparameters","using","the","Keras","Tuner","."]
code: def get_eval_dataset(self) -> tf.data.Dataset:
      return self._eval_dataset
  
file_path: adanet/adanet/experimental/phases/keras_tuner_phase.py
imports: import sys
  from typing import Callable, Iterable, Iterator, Union
  from adanet.experimental.phases.phase import DatasetProvider
  from adanet.experimental.phases.phase import ModelProvider
  from adanet.experimental.work_units.keras_tuner_work_unit import KerasTunerWorkUnit
  from adanet.experimental.work_units.work_unit import WorkUnit
  from kerastuner.engine.tuner import Tuner
  import tensorflow.compat.v2
label_desc: Use image node_id 6 for calling the KerasTunerPhase obj's underlying member method code with example usage: obj.get_eval_dataset() and returns: self