sagemaker/aws.sdk.kotlin.services.sagemaker.model/PipelineExecutionStepMetadata/Builder

Builder

class Builder

Properties

autoMlJob

var autoMlJob: AutoMlJobStepMetadata?

The Amazon Resource Name (ARN) of the AutoML job that was run by this step.

bedrockCustomModel

var bedrockCustomModel: BedrockCustomModelMetadata?

The metadata of the Amazon Bedrock custom model used in the pipeline execution step.

bedrockCustomModelDeployment

var bedrockCustomModelDeployment: BedrockCustomModelDeploymentMetadata?

The metadata of the Amazon Bedrock custom model deployment used in pipeline execution step.

bedrockModelImport

var bedrockModelImport: BedrockModelImportMetadata?

The metadata of Amazon Bedrock model import used in pipeline execution step.

bedrockProvisionedModelThroughput

var bedrockProvisionedModelThroughput: BedrockProvisionedModelThroughputMetadata?

The metadata of the Amazon Bedrock provisioned model throughput used in the pipeline execution step.

callback

var callback: CallbackStepMetadata?

The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

clarifyCheck

var clarifyCheck: ClarifyCheckStepMetadata?

Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:

condition

var condition: ConditionStepMetadata?

The outcome of the condition evaluation that was run by this step execution.

emr

var emr: EmrStepMetadata?

The configurations and outcomes of an Amazon EMR step execution.

endpoint

var endpoint: EndpointStepMetadata?

The endpoint that was invoked during this step execution.

endpointConfig

var endpointConfig: EndpointConfigStepMetadata?

The endpoint configuration used to create an endpoint during this step execution.

fail

var fail: FailStepMetadata?

The configurations and outcomes of a Fail step execution.

inferenceComponent

var inferenceComponent: InferenceComponentMetadata?

The metadata of the inference component used in pipeline execution step.

lambda

var lambda: LambdaStepMetadata?

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

lineage

var lineage: LineageMetadata?

The metadata of the lineage used in pipeline execution step.

model

var model: ModelStepMetadata?

The Amazon Resource Name (ARN) of the model that was created by this step execution.

processingJob

var processingJob: ProcessingJobStepMetadata?

The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

qualityCheck

var qualityCheck: QualityCheckStepMetadata?

The configurations and outcomes of the check step execution. This includes:

registerModel

var registerModel: RegisterModelStepMetadata?

The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.

trainingJob

var trainingJob: TrainingJobStepMetadata?

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

transformJob

var transformJob: TransformJobStepMetadata?

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

tuningJob

var tuningJob: TuningJobStepMetaData?

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

Functions

autoMlJob

fun autoMlJob(block: AutoMlJobStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.AutoMlJobStepMetadata inside the given block

bedrockCustomModel

fun bedrockCustomModel(block: BedrockCustomModelMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.BedrockCustomModelMetadata inside the given block

bedrockCustomModelDeployment

fun bedrockCustomModelDeployment(block: BedrockCustomModelDeploymentMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.BedrockCustomModelDeploymentMetadata inside the given block

bedrockModelImport

fun bedrockModelImport(block: BedrockModelImportMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.BedrockModelImportMetadata inside the given block

bedrockProvisionedModelThroughput

fun bedrockProvisionedModelThroughput(block: BedrockProvisionedModelThroughputMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.BedrockProvisionedModelThroughputMetadata inside the given block

callback

fun callback(block: CallbackStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.CallbackStepMetadata inside the given block

clarifyCheck

fun clarifyCheck(block: ClarifyCheckStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.ClarifyCheckStepMetadata inside the given block

condition

fun condition(block: ConditionStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.ConditionStepMetadata inside the given block

emr

fun emr(block: EmrStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.EmrStepMetadata inside the given block

endpoint

fun endpoint(block: EndpointStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.EndpointStepMetadata inside the given block

endpointConfig

fun endpointConfig(block: EndpointConfigStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.EndpointConfigStepMetadata inside the given block

fail

fun fail(block: FailStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.FailStepMetadata inside the given block

inferenceComponent

fun inferenceComponent(block: InferenceComponentMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.InferenceComponentMetadata inside the given block

lambda

fun lambda(block: LambdaStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.LambdaStepMetadata inside the given block

lineage

fun lineage(block: LineageMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.LineageMetadata inside the given block

model

fun model(block: ModelStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.ModelStepMetadata inside the given block

processingJob

fun processingJob(block: ProcessingJobStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.ProcessingJobStepMetadata inside the given block

qualityCheck

fun qualityCheck(block: QualityCheckStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.QualityCheckStepMetadata inside the given block

registerModel

fun registerModel(block: RegisterModelStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.RegisterModelStepMetadata inside the given block

trainingJob

fun trainingJob(block: TrainingJobStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.TrainingJobStepMetadata inside the given block

transformJob

fun transformJob(block: TransformJobStepMetadata.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.TransformJobStepMetadata inside the given block

tuningJob

fun tuningJob(block: TuningJobStepMetaData.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.TuningJobStepMetaData inside the given block