:mod:`airflow.contrib.sensors.sagemaker_training_sensor`
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.. py:module:: airflow.contrib.sensors.sagemaker_training_sensor







Module Contents
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.. py:class:: SageMakerTrainingSensor(job_name, print_log=True, *args, **kwargs)

   Bases::class:`airflow.contrib.sensors.sagemaker_base_sensor.SageMakerBaseSensor`

   

   Asks for the state of the training state until it reaches a terminal state.
   If it fails the sensor errors, failing the task.

   :param job_name: name of the SageMaker training job to check the state of
   :type job_name: str
   :param print_log: if the operator should print the cloudwatch log
   :type print_log: bool


   

   

   .. attribute:: template_fields
      :annotation: = ['job_name'] 

      



   

   

   .. attribute:: template_ext
      :annotation: = [] 

      



   

   

   

   .. method:: init_log_resource(self, hook)

      



   

   .. method:: non_terminal_states(self)

      



   

   .. method:: failed_states(self)

      



   

   .. method:: get_sagemaker_response(self)

      



   

   .. method:: get_failed_reason_from_response(self, response)

      



   

   .. method:: state_from_response(self, response)