EndpointOutput: Accepts parameters that specify an S3 output for a monitoring...

In DyfanJones/sagemaker-r-mlcore: sagemaker machine learning core classes and methods

Accepts parameters that specify an S3 output for a monitoring job.

Description

It also provides a method to turn those parameters into a dictionary.

Methods

Public methods

• EndpointOutput$new()

• EndpointOutput$to_request_list()

• EndpointOutput$format()

• EndpointOutput$clone()

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Method new()

Initialize a “MonitoringOutput“ instance. MonitoringOutput accepts parameters that specify an S3 output for a monitoring job and provides a method to turn those parameters into a dictionary.

Usage

EndpointOutput$new(source, destination = NULL, s3_upload_mode = "Continuous")

Arguments

source

(str): The source for the output.

destination

(str): The destination of the output. Optional. Default: s3://<default-session-bucket/schedule_name/output

s3_upload_mode

(str): The S3 upload mode.

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Method to_request_list()

Generates a request dictionary using the parameters provided to the class.

Usage

EndpointOutput$to_request_list()

Returns

dict: The request dictionary.

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Method format()

format class

Usage

EndpointOutput$format()

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Method clone()

The objects of this class are cloneable with this method.

Usage

EndpointOutput$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

DyfanJones/sagemaker-r-mlcore documentation built on May 3, 2022, 10:08 a.m.