`airflow.providers.amazon.aws.sensors.sagemaker_training`¶

Module Contents¶

class airflow.providers.amazon.aws.sensors.sagemaker_training.SageMakerTrainingSensor(*, job_name, print_log=True, **kwargs)[source]¶

Bases: airflow.providers.amazon.aws.sensors.sagemaker_base.SageMakerBaseSensor

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

Parameters

job_name (str) -- name of the SageMaker training job to check the state of
print_log (bool) -- if the operator should print the cloudwatch log

template_fields = ['job_name'][source]¶

template_ext = [][source]¶

init_log_resource(self, hook: SageMakerHook)[source]¶: Set tailing LogState for associated training job.

non_terminal_states(self)[source]¶

failed_states(self)[source]¶

get_sagemaker_response(self)[source]¶

get_failed_reason_from_response(self, response)[source]¶

state_from_response(self, response)[source]¶

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