Builder

The Amazon Resource Name (ARN) of the configured model algorithm association that is used for this trained model inference job.

The execution parameters for the container.

Defines the data source that is used for the trained model inference job.

The description of the trained model inference job.

The environment variables to set in the Docker container.

The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the ML inference job and associated data.

The membership ID of the membership that contains the trained model inference job.

The name of the trained model inference job.

Defines the output configuration information for the trained model inference job.

Defines the resource configuration for the trained model inference job.

The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The Amazon Resource Name (ARN) of the trained model that is used for this trained model inference job.

The version identifier of the trained model to use for inference. This specifies which version of the trained model should be used to generate predictions on the input data.

construct an aws.sdk.kotlin.services.cleanroomsml.model.InferenceContainerExecutionParameters inside the given block

construct an aws.sdk.kotlin.services.cleanroomsml.model.ModelInferenceDataSource inside the given block

construct an aws.sdk.kotlin.services.cleanroomsml.model.InferenceOutputConfiguration inside the given block

construct an aws.sdk.kotlin.services.cleanroomsml.model.InferenceResourceConfig inside the given block