class_docstr: An AutoML pipeline manager.
class_docstr_tok: ["An","AutoML","pipeline","manager","."]
docstr: Executes the training workflow to generate models.
docstr_tok: ["Executes","the","training","workflow","to","generate","models","."]
code: def run(self):
      """Executes the training workflow to generate models."""
      self._scheduler.schedule(self._controller.work_units())
  
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 2 for calling the ModelSearch obj's underlying member method code with example usage: obj.run() without return types