Interface GetTrainedModelInferenceJobResponse.Builder

All Superinterfaces:
AwsResponse.Builder, Buildable, CleanRoomsMlResponse.Builder, CopyableBuilder<GetTrainedModelInferenceJobResponse.Builder,GetTrainedModelInferenceJobResponse>, SdkBuilder<GetTrainedModelInferenceJobResponse.Builder,GetTrainedModelInferenceJobResponse>, SdkPojo, SdkResponse.Builder
Enclosing class:
GetTrainedModelInferenceJobResponse
@Mutable @NotThreadSafe public static interface GetTrainedModelInferenceJobResponse.Builder extends CleanRoomsMlResponse.Builder, SdkPojo, CopyableBuilder<GetTrainedModelInferenceJobResponse.Builder,GetTrainedModelInferenceJobResponse>

  • Method Details

    • createTime

      GetTrainedModelInferenceJobResponse.Builder createTime(Instant createTime)

      The time at which the trained model inference job was created.

      Parameters:
      createTime - The time at which the trained model inference job was created.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • updateTime

      GetTrainedModelInferenceJobResponse.Builder updateTime(Instant updateTime)

      The most recent time at which the trained model inference job was updated.

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

    • trainedModelInferenceJobArn

      GetTrainedModelInferenceJobResponse.Builder trainedModelInferenceJobArn(String trainedModelInferenceJobArn)

      The Amazon Resource Name (ARN) of the trained model inference job.

      Parameters:
      trainedModelInferenceJobArn - The Amazon Resource Name (ARN) of the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • configuredModelAlgorithmAssociationArn

      GetTrainedModelInferenceJobResponse.Builder configuredModelAlgorithmAssociationArn(String configuredModelAlgorithmAssociationArn)

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

      Parameters:
      configuredModelAlgorithmAssociationArn - The Amazon Resource Name (ARN) of the configured model algorithm association that was used for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • name

      GetTrainedModelInferenceJobResponse.Builder name(String name)

      The name of the trained model inference job.

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

    • status

      GetTrainedModelInferenceJobResponse.Builder status(String status)

      The status of the trained model inference job.

      Parameters:
      status - The status of the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • status

      GetTrainedModelInferenceJobResponse.Builder status(TrainedModelInferenceJobStatus status)

      The status of the trained model inference job.

      Parameters:
      status - The status of the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • trainedModelArn

      GetTrainedModelInferenceJobResponse.Builder trainedModelArn(String trainedModelArn)

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

      Parameters:
      trainedModelArn - The Amazon Resource Name (ARN) for the trained model that was used for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • trainedModelVersionIdentifier

      GetTrainedModelInferenceJobResponse.Builder trainedModelVersionIdentifier(String trainedModelVersionIdentifier)

      The version identifier of the trained model used for this inference job. This identifies the specific version of the trained model that was used to generate the inference results.

      Parameters:
      trainedModelVersionIdentifier - The version identifier of the trained model used for this inference job. This identifies the specific version of the trained model that was used to generate the inference results.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • resourceConfig

      GetTrainedModelInferenceJobResponse.Builder resourceConfig(InferenceResourceConfig resourceConfig)

      The resource configuration information for the trained model inference job.

      Parameters:
      resourceConfig - The resource configuration information for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • resourceConfig

      default GetTrainedModelInferenceJobResponse.Builder resourceConfig(Consumer<InferenceResourceConfig.Builder> resourceConfig)

      The resource configuration information for the trained model inference job.

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

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

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

    • outputConfiguration

      GetTrainedModelInferenceJobResponse.Builder outputConfiguration(InferenceOutputConfiguration outputConfiguration)

      The output configuration information for the trained model inference job.

      Parameters:
      outputConfiguration - The output configuration information for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • outputConfiguration

      default GetTrainedModelInferenceJobResponse.Builder outputConfiguration(Consumer<InferenceOutputConfiguration.Builder> outputConfiguration)

      The output configuration information for the trained model inference job.

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

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

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

    • membershipIdentifier

      GetTrainedModelInferenceJobResponse.Builder membershipIdentifier(String membershipIdentifier)

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

      Parameters:
      membershipIdentifier - The membership ID of the membership that contains the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • dataSource

      GetTrainedModelInferenceJobResponse.Builder dataSource(ModelInferenceDataSource dataSource)

      The data source that was used for the trained model inference job.

      Parameters:
      dataSource - The data source that was used for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • dataSource

      default GetTrainedModelInferenceJobResponse.Builder dataSource(Consumer<ModelInferenceDataSource.Builder> dataSource)

      The data source that was used for the trained model inference job.

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

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

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

    • containerExecutionParameters

      GetTrainedModelInferenceJobResponse.Builder containerExecutionParameters(InferenceContainerExecutionParameters containerExecutionParameters)

      The execution parameters for the model inference job container.

      Parameters:
      containerExecutionParameters - The execution parameters for the model inference job container.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • containerExecutionParameters

      default GetTrainedModelInferenceJobResponse.Builder containerExecutionParameters(Consumer<InferenceContainerExecutionParameters.Builder> containerExecutionParameters)

      The execution parameters for the model inference job container.

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

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

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

    • statusDetails

      GetTrainedModelInferenceJobResponse.Builder statusDetails(StatusDetails statusDetails)
      Sets the value of the StatusDetails property for this object.
      Parameters:
      statusDetails - The new value for the StatusDetails property for this object.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • statusDetails

      default GetTrainedModelInferenceJobResponse.Builder statusDetails(Consumer<StatusDetails.Builder> statusDetails)
      Sets the value of the StatusDetails property for this object. This is a convenience method that creates an instance of the StatusDetails.Builder avoiding the need to create one manually via StatusDetails.builder().

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

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

    • description

      GetTrainedModelInferenceJobResponse.Builder description(String description)

      The description of the trained model inference job.

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

    • inferenceContainerImageDigest

      GetTrainedModelInferenceJobResponse.Builder inferenceContainerImageDigest(String inferenceContainerImageDigest)

      Information about the training container image.

      Parameters:
      inferenceContainerImageDigest - Information about the training container image.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • environment

      GetTrainedModelInferenceJobResponse.Builder environment(Map<String,String> environment)

      The environment variables to set in the Docker container.

      Parameters:
      environment - The environment variables to set in the Docker container.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • kmsKeyArn

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

    • metricsStatus

      GetTrainedModelInferenceJobResponse.Builder metricsStatus(String metricsStatus)

      The metrics status for the trained model inference job.

      Parameters:
      metricsStatus - The metrics status for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • metricsStatus

      GetTrainedModelInferenceJobResponse.Builder metricsStatus(MetricsStatus metricsStatus)

      The metrics status for the trained model inference job.

      Parameters:
      metricsStatus - The metrics status for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • metricsStatusDetails

      GetTrainedModelInferenceJobResponse.Builder metricsStatusDetails(String metricsStatusDetails)

      Details about the metrics status for the trained model inference job.

      Parameters:
      metricsStatusDetails - Details about the metrics status for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • logsStatus

      GetTrainedModelInferenceJobResponse.Builder logsStatus(String logsStatus)

      The logs status for the trained model inference job.

      Parameters:
      logsStatus - The logs status for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • logsStatus

      GetTrainedModelInferenceJobResponse.Builder logsStatus(LogsStatus logsStatus)

      The logs status for the trained model inference job.

      Parameters:
      logsStatus - The logs status for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • logsStatusDetails

      GetTrainedModelInferenceJobResponse.Builder logsStatusDetails(String logsStatusDetails)

      Details about the logs status for the trained model inference job.

      Parameters:
      logsStatusDetails - Details about the logs status for the trained model inference job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • tags

      GetTrainedModelInferenceJobResponse.Builder tags(Map<String,String> 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.