Interface GetConfiguredModelAlgorithmResponse.Builder

  • Method Details

    • createTime

      The time at which the configured model algorithm was created.

      Parameters:
      createTime - The time at which the configured model algorithm was created.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • updateTime

      The most recent time at which the configured model algorithm was updated.

      Parameters:
      updateTime - The most recent time at which the configured model algorithm was updated.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • configuredModelAlgorithmArn

      GetConfiguredModelAlgorithmResponse.Builder configuredModelAlgorithmArn(String configuredModelAlgorithmArn)

      The Amazon Resource Name (ARN) of the configured model algorithm.

      Parameters:
      configuredModelAlgorithmArn - The Amazon Resource Name (ARN) of the configured model algorithm.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • 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.
    • trainingContainerConfig

      GetConfiguredModelAlgorithmResponse.Builder trainingContainerConfig(ContainerConfig trainingContainerConfig)

      The configuration information of the training container for the configured model algorithm.

      Parameters:
      trainingContainerConfig - The configuration information of the training container for the configured model algorithm.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • trainingContainerConfig

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

      The configuration information of the training container for the configured model algorithm.

      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

      GetConfiguredModelAlgorithmResponse.Builder inferenceContainerConfig(InferenceContainerConfig inferenceContainerConfig)

      Configuration information for the inference container.

      Parameters:
      inferenceContainerConfig - Configuration information for the inference container.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • inferenceContainerConfig

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

      Configuration information for the inference container.

      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:
    • roleArn

      The Amazon Resource Name (ARN) of the service role that was used to create the configured model algorithm.

      Parameters:
      roleArn - The Amazon Resource Name (ARN) of the service role that was used to create the configured model algorithm.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • 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.
    • tags

      The optional metadata that you applied 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 applied 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

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