sagemakermetrics function

Amazon SageMaker Metrics Service

Amazon SageMaker Metrics Service

Contains all data plane API operations and data types for Amazon SageMaker Metrics. Use these APIs to put and retrieve (get) features related to your training run.

  • batch_put_metrics
sagemakermetrics( config = list(), credentials = list(), endpoint = NULL, region = NULL )

Arguments

  • config: Optional configuration of credentials, endpoint, and/or region.

    • credentials :

      • creds :

        • access_key_id : AWS access key ID
        • secret_access_key : AWS secret access key
        • session_token : AWS temporary session token
      • profile : The name of a profile to use. If not given, then the default profile is used.

      • anonymous : Set anonymous credentials.

    • endpoint : The complete URL to use for the constructed client.

    • region : The AWS Region used in instantiating the client.

    • close_connection : Immediately close all HTTP connections.

    • timeout : The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

    • s3_force_path_style : Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.

    • sts_regional_endpoint : Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

  • credentials: Optional credentials shorthand for the config parameter

    • creds :

      • access_key_id : AWS access key ID
      • secret_access_key : AWS secret access key
      • session_token : AWS temporary session token
    • profile : The name of a profile to use. If not given, then the default profile is used.

    • anonymous : Set anonymous credentials.

  • endpoint: Optional shorthand for complete URL to use for the constructed client.

  • region: Optional shorthand for AWS Region used in instantiating the client.

Returns

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- sagemakermetrics(
  config = list(
    credentials = list(
 creds = list(
   access_key_id = "string",
   secret_access_key = "string",
   session_token = "string"
 ),
 profile = "string",
 anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
 access_key_id = "string",
 secret_access_key = "string",
 session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_get_metricsUsed to retrieve training metrics from SageMaker
batch_put_metricsUsed to ingest training metrics into SageMaker

Examples

## Not run: svc <- sagemakermetrics() svc$batch_get_metrics( Foo = 123 ) ## End(Not run)
  • Maintainer: Dyfan Jones
  • License: Apache License (>= 2.0)
  • Last published: 2025-03-17