Package software.amazon.awssdk.services.cleanroomsml.model

Interface GetTrainedModelInferenceJobResponse.Builder

    • Method Detail

      • 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.

      • 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.

      • 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.

      • 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.

      • 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.

      • 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.

      • 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.

      • 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.

      • 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, LogsStatus

      • 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.