Create Model Import Job

bedrock_create_model_import_job

R Documentation

Creates a model import job to import model that you have customized in other environments, such as Amazon SageMaker

Description

Creates a model import job to import model that you have customized in other environments, such as Amazon SageMaker. For more information, see Import a customized model

Usage

bedrock_create_model_import_job(jobName, importedModelName, roleArn,
  modelDataSource, jobTags, importedModelTags, clientRequestToken,
  vpcConfig, importedModelKmsKeyId)

Arguments

jobName	[required] The name of the import job.
importedModelName	[required] The name of the imported model.
roleArn	[required] The Amazon Resource Name (ARN) of the model import job.
modelDataSource	[required] The data source for the imported model.
jobTags	Tags to attach to this import job.
importedModelTags	Tags to attach to the imported model.
clientRequestToken	A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
vpcConfig	VPC configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for the import job.
importedModelKmsKeyId	The imported model is encrypted at rest using this key.

Value

A list with the following syntax:

list(
  jobArn = "string"
)

Request syntax

svc$create_model_import_job(
  jobName = "string",
  importedModelName = "string",
  roleArn = "string",
  modelDataSource = list(
    s3DataSource = list(
      s3Uri = "string"
    )
  ),
  jobTags = list(
    list(
      key = "string",
      value = "string"
    )
  ),
  importedModelTags = list(
    list(
      key = "string",
      value = "string"
    )
  ),
  clientRequestToken = "string",
  vpcConfig = list(
    subnetIds = list(
      "string"
    ),
    securityGroupIds = list(
      "string"
    )
  ),
  importedModelKmsKeyId = "string"
)