sagemaker/aws.sdk.kotlin.services.sagemaker.model/RecommendationJobContainerConfig/Builder

Builder

Properties

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.

domain

var domain: String?

The machine learning domain of the model and its components.

framework

var framework: String?

The machine learning framework of the container image.

frameworkVersion

var frameworkVersion: String?

The framework version of the container image.

nearestModelName

var nearestModelName: String?

The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

payloadConfig

var payloadConfig: RecommendationJobPayloadConfig?

Specifies the SamplePayloadUrl and all other sample payload-related fields.

supportedEndpointType

var supportedEndpointType: RecommendationJobSupportedEndpointType?

The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.

supportedInstanceTypes

var supportedInstanceTypes: List<String>?

A list of the instance types that are used to generate inferences in real-time.

supportedResponseMimeTypes

var supportedResponseMimeTypes: List<String>?

The supported MIME types for the output data.

task

var task: String?

The machine learning task that the model accomplishes.

Functions

payloadConfig

fun payloadConfig(block: RecommendationJobPayloadConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.RecommendationJobPayloadConfig inside the given block