| .PipelineExecution | R Documentation |
Internal class for encapsulating pipeline execution instances.
arnThe arn of the pipeline execution
sagemaker_sessionSession object which manages interactions with Amazon SageMaker
new()Initialize .PipeLineExecution class
.PipelineExecution$new(arn, sagemaker_session = NULL)
arn(str): The arn of the pipeline execution.
sagemaker_session(sagemaker.session.Session): Session object which manages interactions with Amazon SageMaker APIs and any other AWS services needed. If not specified, the pipeline creates one using the default AWS configuration chain.
stop()Stops a pipeline execution.
.PipelineExecution$stop()
describe()Describes a pipeline execution.
.PipelineExecution$describe()
Information about the pipeline execution. See 'boto3 client describe_pipeline_execution https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.describe_pipeline_execution.
list_steps()Describes a pipeline execution's steps.
.PipelineExecution$list_steps()
Information about the steps of the pipeline execution. See 'boto3 client list_pipeline_execution_steps https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.list_pipeline_execution_steps.
wait()Waits for a pipeline execution.
.PipelineExecution$wait(delay = 30, max_attempts = 60)
delay(int): The polling interval. (Defaults to 30 seconds)
max_attempts(int): The maximum number of polling attempts. (Defaults to 60 polling attempts)
format()format class
.PipelineExecution$format()
clone()The objects of this class are cloneable with this method.
.PipelineExecution$clone(deep = FALSE)
deepWhether to make a deep clone.
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