sagemakergeospatialcapabilities {paws.machine.learning}R Documentation

Amazon SageMaker geospatial capabilities

Description

Provides APIs for creating and managing SageMaker geospatial resources.

Usage

sagemakergeospatialcapabilities(
  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.

Value

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 <- sagemakergeospatialcapabilities(
  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

delete_earth_observation_job Use this operation to delete an Earth Observation job
delete_vector_enrichment_job Use this operation to delete a Vector Enrichment job
export_earth_observation_job Use this operation to export results of an Earth Observation job and optionally source images used as input to the EOJ to an Amazon S3 location
export_vector_enrichment_job Use this operation to copy results of a Vector Enrichment job to an Amazon S3 location
get_earth_observation_job Get the details for a previously initiated Earth Observation job
get_raster_data_collection Use this operation to get details of a specific raster data collection
get_tile Gets a web mercator tile for the given Earth Observation job
get_vector_enrichment_job Retrieves details of a Vector Enrichment Job for a given job Amazon Resource Name (ARN)
list_earth_observation_jobs Use this operation to get a list of the Earth Observation jobs associated with the calling Amazon Web Services account
list_raster_data_collections Use this operation to get raster data collections
list_tags_for_resource Lists the tags attached to the resource
list_vector_enrichment_jobs Retrieves a list of vector enrichment jobs
search_raster_data_collection Allows you run image query on a specific raster data collection to get a list of the satellite imagery matching the selected filters
start_earth_observation_job Use this operation to create an Earth observation job
start_vector_enrichment_job Creates a Vector Enrichment job for the supplied job type
stop_earth_observation_job Use this operation to stop an existing earth observation job
stop_vector_enrichment_job Stops the Vector Enrichment job for a given job ARN
tag_resource The resource you want to tag
untag_resource The resource you want to untag

Examples

## Not run: 
svc <- sagemakergeospatialcapabilities()
svc$delete_earth_observation_job(
  Foo = 123
)

## End(Not run)


[Package paws.machine.learning version 0.6.0 Index]