class_docstr: Trains, evaluates and saves a tuned Keras model.
code: def __init__(self, tuner: Tuner, *search_args, **search_kwargs):
      self._tuner = tuner
      self._search_args = search_args
      self._search_kwargs = search_kwargs
  
file_path: adanet/adanet/experimental/work_units/keras_tuner_work_unit.py
imports: import os
  import time
  from adanet.experimental.work_units import work_unit
  from kerastuner.engine.tuner import Tuner
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new KerasTunerWorkUnit object from inherited base classes: work_unit with example: obj = KerasTunerWorkUnit(tuner)