Interface CreateConfiguredModelAlgorithmRequest.Builder

All Superinterfaces:
AwsRequest.Builder, Buildable, CleanRoomsMlRequest.Builder, CopyableBuilder<CreateConfiguredModelAlgorithmRequest.Builder,CreateConfiguredModelAlgorithmRequest>, SdkBuilder<CreateConfiguredModelAlgorithmRequest.Builder,CreateConfiguredModelAlgorithmRequest>, SdkPojo, SdkRequest.Builder
Enclosing class:
CreateConfiguredModelAlgorithmRequest
@Mutable @NotThreadSafe public static interface CreateConfiguredModelAlgorithmRequest.Builder extends CleanRoomsMlRequest.Builder, SdkPojo, CopyableBuilder<CreateConfiguredModelAlgorithmRequest.Builder,CreateConfiguredModelAlgorithmRequest>

  • Method Details

    • name

      CreateConfiguredModelAlgorithmRequest.Builder name(String name)

      The name of the configured model algorithm.

      Parameters:
      name - The name of the configured model algorithm.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • description

      CreateConfiguredModelAlgorithmRequest.Builder description(String description)

      The description of the configured model algorithm.

      Parameters:
      description - The description of the configured model algorithm.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • roleArn

      CreateConfiguredModelAlgorithmRequest.Builder roleArn(String roleArn)

      The Amazon Resource Name (ARN) of the role that is used to access the repository.

      Parameters:
      roleArn - The Amazon Resource Name (ARN) of the role that is used to access the repository.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • trainingContainerConfig

      CreateConfiguredModelAlgorithmRequest.Builder trainingContainerConfig(ContainerConfig trainingContainerConfig)

      Configuration information for the training container, including entrypoints and arguments.

      Parameters:
      trainingContainerConfig - Configuration information for the training container, including entrypoints and arguments.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • trainingContainerConfig

      default CreateConfiguredModelAlgorithmRequest.Builder trainingContainerConfig(Consumer<ContainerConfig.Builder> trainingContainerConfig)

      Configuration information for the training container, including entrypoints and arguments.

      This is a convenience method that creates an instance of the ContainerConfig.Builder avoiding the need to create one manually via ContainerConfig.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to trainingContainerConfig(ContainerConfig).

      Parameters:
      trainingContainerConfig - a consumer that will call methods on ContainerConfig.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • inferenceContainerConfig

      CreateConfiguredModelAlgorithmRequest.Builder inferenceContainerConfig(InferenceContainerConfig inferenceContainerConfig)

      Configuration information for the inference container that is used when you run an inference job on a configured model algorithm.

      Parameters:
      inferenceContainerConfig - Configuration information for the inference container that is used when you run an inference job on a configured model algorithm.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • inferenceContainerConfig

      default CreateConfiguredModelAlgorithmRequest.Builder inferenceContainerConfig(Consumer<InferenceContainerConfig.Builder> inferenceContainerConfig)

      Configuration information for the inference container that is used when you run an inference job on a configured model algorithm.

      This is a convenience method that creates an instance of the InferenceContainerConfig.Builder avoiding the need to create one manually via InferenceContainerConfig.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to inferenceContainerConfig(InferenceContainerConfig).

      Parameters:
      inferenceContainerConfig - a consumer that will call methods on InferenceContainerConfig.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • tags

      CreateConfiguredModelAlgorithmRequest.Builder tags(Map<String,String> tags)

      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 following basic restrictions apply to tags:

      • Maximum number of tags per resource - 50.

      • For each resource, each tag key must be unique, and each tag key can have only one value.

      • Maximum key length - 128 Unicode characters in UTF-8.

      • Maximum value length - 256 Unicode characters in UTF-8.

      • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

      • Tag keys and values are case sensitive.

      • Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

      Parameters:
      tags - 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 following basic restrictions apply to tags:

      • Maximum number of tags per resource - 50.

      • For each resource, each tag key must be unique, and each tag key can have only one value.

      • Maximum key length - 128 Unicode characters in UTF-8.

      • Maximum value length - 256 Unicode characters in UTF-8.

      • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

      • Tag keys and values are case sensitive.

      • Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • kmsKeyArn

      CreateConfiguredModelAlgorithmRequest.Builder kmsKeyArn(String kmsKeyArn)

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

      Parameters:
      kmsKeyArn - The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the configured ML model algorithm and associated data.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • overrideConfiguration

      CreateConfiguredModelAlgorithmRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      overrideConfiguration - The override configuration.
      Returns:
      This object for method chaining.

    • overrideConfiguration

      CreateConfiguredModelAlgorithmRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      builderConsumer - A Consumer to which an empty AwsRequestOverrideConfiguration.Builder will be given.
      Returns:
      This object for method chaining.