sagemakergeospatialcapabilities_start_vector_enrichment_job: Creates a Vector Enrichment job for the supplied job type

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates a Vector Enrichment job for the supplied job type

Description

Creates a Vector Enrichment job for the supplied job type. Currently, there are two supported job types: reverse geocoding and map matching.

See https://www.paws-r-sdk.com/docs/sagemakergeospatialcapabilities_start_vector_enrichment_job/ for full documentation.

Usage

sagemakergeospatialcapabilities_start_vector_enrichment_job(
  ClientToken = NULL,
  ExecutionRoleArn,
  InputConfig,
  JobConfig,
  KmsKeyId = NULL,
  Name,
  Tags = NULL
)

Arguments

ClientToken	A unique token that guarantees that the call to this API is idempotent.
ExecutionRoleArn	[required] The Amazon Resource Name (ARN) of the IAM role that you specified for the job.
InputConfig	[required] Input configuration information for the Vector Enrichment job.
JobConfig	[required] An object containing information about the job configuration.
KmsKeyId	The Key Management Service key ID for server-side encryption.
Name	[required] The name of the Vector Enrichment job.
Tags	Each tag consists of a key and a value.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.