CreateInferenceRecommendationsJob - Amazon SageMaker

CreateInferenceRecommendationsJob

Starts a recommendation job. You can create either an instance recommendation or load test job.

Request Syntax

{ "InputConfig": { "ContainerConfig": { "DataInputConfig": "string", "Domain": "string", "Framework": "string", "FrameworkVersion": "string", "NearestModelName": "string", "PayloadConfig": { "SamplePayloadUrl": "string", "SupportedContentTypes": [ "string" ] }, "SupportedEndpointType": "string", "SupportedInstanceTypes": [ "string" ], "SupportedResponseMIMETypes": [ "string" ], "Task": "string" }, "EndpointConfigurations": [ { "EnvironmentParameterRanges": { "CategoricalParameterRanges": [ { "Name": "string", "Value": [ "string" ] } ] }, "InferenceSpecificationName": "string", "InstanceType": "string", "ServerlessConfig": { "MaxConcurrency": number, "MemorySizeInMB": number, "ProvisionedConcurrency": number } } ], "Endpoints": [ { "EndpointName": "string" } ], "JobDurationInSeconds": number, "ModelName": "string", "ModelPackageVersionArn": "string", "ResourceLimit": { "MaxNumberOfTests": number, "MaxParallelOfTests": number }, "TrafficPattern": { "Phases": [ { "DurationInSeconds": number, "InitialNumberOfUsers": number, "SpawnRate": number } ], "Stairs": { "DurationInSeconds": number, "NumberOfSteps": number, "UsersPerStep": number }, "TrafficType": "string" }, "VolumeKmsKeyId": "string", "VpcConfig": { "SecurityGroupIds": [ "string" ], "Subnets": [ "string" ] } }, "JobDescription": "string", "JobName": "string", "JobType": "string", "OutputConfig": { "CompiledOutputConfig": { "S3OutputUri": "string" }, "KmsKeyId": "string" }, "RoleArn": "string", "StoppingConditions": { "FlatInvocations": "string", "MaxInvocations": number, "ModelLatencyThresholds": [ { "Percentile": "string", "ValueInMilliseconds": number } ] }, "Tags": [ { "Key": "string", "Value": "string" } ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

InputConfig

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

Type: RecommendationJobInputConfig object

Required: Yes

JobDescription

Description of the recommendation job.

Type: String

Length Constraints: Maximum length of 128.

Required: No

JobName

A name for the recommendation job. The name must be unique within the AWS Region and within your AWS account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,63}

Required: Yes

JobType

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

Type: String

Valid Values: Default | Advanced

Required: Yes

OutputConfig

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

Type: RecommendationJobOutputConfig object

Required: No

RoleArn

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: ^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$

Required: Yes

StoppingConditions

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

Type: RecommendationJobStoppingConditions object

Required: No

Tags

The metadata that you apply to AWS resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging AWS Resources in the AWS General Reference.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Response Syntax

{ "JobArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

JobArn

The Amazon Resource Name (ARN) of the recommendation job.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:inference-recommendations-job/.*

Errors

For information about the errors that are common to all actions, see Common Errors.

ResourceInUse

Resource being accessed is in use.

HTTP Status Code: 400

ResourceLimitExceeded

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: