class_docstr: Example:
      >>> auto_est = AutoEstimator.from_torch(model_creator=model_creator,
                                              optimizer=get_optimizer,
                                              loss=nn.BCELoss(),
                                              logs_dir="/tmp/zoo_automl_logs",
                                              resources_per_trial={"cpu": 2},
                                              name="test_fit")
      >>> auto_est.fit(data=data,
                       validation_data=validation_data,
                       search_space=create_linear_search_space(),
                       n_sampling=4,
                       epochs=1,
                       metric="accuracy")
      >>> best_model = auto_est.get_best_model()
docstr: Return the best model found by the AutoEstimator
  
  :return: the best model instance
code: def get_best_model(self):
      """
      Return the best model found by the AutoEstimator
  
      :return: the best model instance
      """
      best_trial = self.searcher.get_best_trial()
      best_model_path = best_trial.model_path
      best_config = best_trial.config
      best_automl_model = self.model_builder.build(best_config)
      best_automl_model.restore(best_model_path)
      return best_automl_model.model
  
file_path: analytics-zoo/pyzoo/zoo/orca/automl/auto_estimator.py
imports: from zoo.orca.automl.search import SearchEngineFactory
label_desc: Use image node_id 5 for calling the AutoEstimator obj's underlying member method code with example usage: obj.get_best_model() and returns: best_automl_model