class_docstr: An AutoML pipeline manager.
class_docstr_tok: ["An","AutoML","pipeline","manager","."]
docstr: Returns the top models from the run.
docstr_tok: ["Returns","the","top","models","from","the","run","."]
code: def get_best_models(self, num_models) -> Sequence[tf.keras.Model]:
      """Returns the top models from the run."""
      return self._controller.get_best_models(num_models)
  
file_path: adanet/adanet/experimental/keras/model_search.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Sequence
  from adanet.experimental.controllers.controller import Controller
  from adanet.experimental.schedulers.in_process_scheduler import InProcessScheduler
  from adanet.experimental.schedulers.scheduler import Scheduler
  import tensorflow.compat.v2
label_desc: Use image node_id 3 for calling the ModelSearch obj's underlying member method code with example usage: obj.get_best_models(num_models) and returns: self