airflow/contrib/hooks/sagemaker_hook.py
def get_log_conn(self):
        """
        Establish an AWS connection for retrieving logs during training

        :rtype: CloudWatchLogs.Client
        """
        config = botocore.config.Config(retries={'max_attempts': 15})
        return self.get_client_type('logs', config=config)
def get_log_conn(self):
        config = botocore.config.Config(retries={'max_attempts': 15})
        return self.get_client_type('logs', config=config)
def get_log_conn ( self ) : config = botocore . config . Config ( retries = { 'max_attempts' : 15 } ) return self . get_client_type ( 'logs' , config = config )
Establish an AWS connection for retrieving logs during training

        :rtype: CloudWatchLogs.Client
Establish an AWS connection for retrieving logs during training