class_docstr: Defines the machine learning workflow to produce high-quality models.
class_docstr_tok: ["Defines","the","machine","learning","workflow","to","produce","high-quality","models","."]
docstr: Returns the top models produced from executing the controller.
docstr_tok: ["Returns","the","top","models","produced","from","executing","the","controller","."]
code: def get_best_models(self, num_models) -> Sequence[tf.keras.Model]:
      """Returns the top models produced from executing the controller."""
      pass
  
file_path: adanet/adanet/experimental/controllers/controller.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Iterator, Sequence
  from adanet.experimental.work_units.work_unit import WorkUnit
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the Controller obj's underlying member method code with example usage: obj.get_best_models(num_models) without return types