ProcessingOutput | R Documentation |
Accepts parameters that specify an Amazon S3 output for a processing job and provides a method to turn those parameters into a dictionary.
new()
Initializes a “ProcessingOutput“ instance. “ProcessingOutput“ accepts parameters that specify an Amazon S3 output for a processing job and provides a method to turn those parameters into a dictionary.
ProcessingOutput$new( source = NULL, destination = NULL, output_name = NULL, s3_upload_mode = c("EndOfJob", "Continuous"), app_managed = FALSE, feature_store_output = NULL )
source
(str): The source for the output.
destination
(str): The destination of the output. If a destination is not provided, one will be generated: "s3://<default-bucket-name>/<job-name>/output/<output-name>".
output_name
(str): The name of the output. If a name is not provided, one will be generated (eg. "output-1").
s3_upload_mode
(str): Valid options are "EndOfJob" or "Continuous". s3_upload_mode (str): Valid options are "EndOfJob" or "Continuous".
app_managed
(bool): Whether the input are managed by SageMaker or application
feature_store_output
(:class:'~sagemaker.processing.FeatureStoreOutput') Configuration for processing job outputs of FeatureStore.
to_request_list()
Generates a request dictionary using the parameters provided to the class.
ProcessingOutput$to_request_list()
format()
format class
ProcessingOutput$format()
clone()
The objects of this class are cloneable with this method.
ProcessingOutput$clone(deep = FALSE)
deep
Whether to make a deep clone.
Other Processor:
ProcessingInput
,
ProcessingJob
,
Processor
,
ScriptProcessor
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