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Class SageMakerCreateTransformJobProps

Properties for creating an Amazon SageMaker transform job task.

Inheritance
System.Object
SageMakerCreateTransformJobProps
Implements
ISageMakerCreateTransformJobProps
ITaskStateBaseProps
Namespace: Amazon.CDK.AWS.StepFunctions.Tasks
Assembly: Amazon.CDK.AWS.StepFunctions.Tasks.dll
Syntax (csharp)
public class SageMakerCreateTransformJobProps : Object, ISageMakerCreateTransformJobProps, ITaskStateBaseProps
Syntax (vb)
Public Class SageMakerCreateTransformJobProps
    Inherits Object
    Implements ISageMakerCreateTransformJobProps, ITaskStateBaseProps
Remarks

ExampleMetadata: infused

Examples
new SageMakerCreateTransformJob(this, "Batch Inference", new SageMakerCreateTransformJobProps {
    TransformJobName = "MyTransformJob",
    ModelName = "MyModelName",
    ModelClientOptions = new ModelClientOptions {
        InvocationsMaxRetries = 3,  // default is 0
        InvocationsTimeout = Duration.Minutes(5)
    },
    TransformInput = new TransformInput {
        TransformDataSource = new TransformDataSource {
            S3DataSource = new TransformS3DataSource {
                S3Uri = "s3://inputbucket/train",
                S3DataType = S3DataType.S3_PREFIX
            }
        }
    },
    TransformOutput = new TransformOutput {
        S3OutputPath = "s3://outputbucket/TransformJobOutputPath"
    },
    TransformResources = new TransformResources {
        InstanceCount = 1,
        InstanceType = InstanceType.Of(InstanceClass.M4, InstanceSize.XLARGE)
    }
});

Synopsis

Constructors

SageMakerCreateTransformJobProps()

Properties

BatchStrategy

Number of records to include in a mini-batch for an HTTP inference request.

Comment

An optional description for this state.

Environment

Environment variables to set in the Docker container.

Heartbeat

Timeout for the heartbeat.

InputPath

JSONPath expression to select part of the state to be the input to this state.

IntegrationPattern

AWS Step Functions integrates with services directly in the Amazon States Language.

MaxConcurrentTransforms

Maximum number of parallel requests that can be sent to each instance in a transform job.

MaxPayload

Maximum allowed size of the payload, in MB.

ModelClientOptions

Configures the timeout and maximum number of retries for processing a transform job invocation.

ModelName

Name of the model that you want to use for the transform job.

OutputPath

JSONPath expression to select select a portion of the state output to pass to the next state.

ResultPath

JSONPath expression to indicate where to inject the state's output.

ResultSelector

The JSON that will replace the state's raw result and become the effective result before ResultPath is applied.

Role

Role for the Transform Job.

Tags

Tags to be applied to the train job.

Timeout

Timeout for the state machine.

TransformInput

Dataset to be transformed and the Amazon S3 location where it is stored.

TransformJobName

Transform Job Name.

TransformOutput

S3 location where you want Amazon SageMaker to save the results from the transform job.

TransformResources

ML compute instances for the transform job.

Constructors

SageMakerCreateTransformJobProps()

public SageMakerCreateTransformJobProps()

Properties

BatchStrategy

Number of records to include in a mini-batch for an HTTP inference request.

public Nullable<BatchStrategy> BatchStrategy { get; set; }
Property Value

System.Nullable<BatchStrategy>

Remarks

Default: - No batch strategy

Comment

An optional description for this state.

public string Comment { get; set; }
Property Value

System.String

Remarks

Default: - No comment

Environment

Environment variables to set in the Docker container.

public IDictionary<string, string> Environment { get; set; }
Property Value

System.Collections.Generic.IDictionary<System.String, System.String>

Remarks

Default: - No environment variables

Heartbeat

Timeout for the heartbeat.

public Duration Heartbeat { get; set; }
Property Value

Duration

Remarks

Default: - None

InputPath

JSONPath expression to select part of the state to be the input to this state.

public string InputPath { get; set; }
Property Value

System.String

Remarks

May also be the special value JsonPath.DISCARD, which will cause the effective input to be the empty object {}.

Default: - The entire task input (JSON path '$')

IntegrationPattern

AWS Step Functions integrates with services directly in the Amazon States Language.

public Nullable<IntegrationPattern> IntegrationPattern { get; set; }
Property Value

System.Nullable<IntegrationPattern>

Remarks

You can control these AWS services using service integration patterns

Default: - IntegrationPattern.REQUEST_RESPONSE for most tasks. IntegrationPattern.RUN_JOB for the following exceptions: BatchSubmitJob, EmrAddStep, EmrCreateCluster, EmrTerminationCluster, and EmrContainersStartJobRun.

See: https://docs.aws.amazon.com/step-functions/latest/dg/connect-to-resource.html#connect-wait-token

MaxConcurrentTransforms

Maximum number of parallel requests that can be sent to each instance in a transform job.

public Nullable<double> MaxConcurrentTransforms { get; set; }
Property Value

System.Nullable<System.Double>

Remarks

Default: - Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1.

MaxPayload

Maximum allowed size of the payload, in MB.

public Size MaxPayload { get; set; }
Property Value

Size

Remarks

Default: 6

ModelClientOptions

Configures the timeout and maximum number of retries for processing a transform job invocation.

public IModelClientOptions ModelClientOptions { get; set; }
Property Value

IModelClientOptions

Remarks

Default: - 0 retries and 60 seconds of timeout

ModelName

Name of the model that you want to use for the transform job.

public string ModelName { get; set; }
Property Value

System.String

OutputPath

JSONPath expression to select select a portion of the state output to pass to the next state.

public string OutputPath { get; set; }
Property Value

System.String

Remarks

May also be the special value JsonPath.DISCARD, which will cause the effective output to be the empty object {}.

Default: - The entire JSON node determined by the state input, the task result, and resultPath is passed to the next state (JSON path '$')

ResultPath

JSONPath expression to indicate where to inject the state's output.

public string ResultPath { get; set; }
Property Value

System.String

Remarks

May also be the special value JsonPath.DISCARD, which will cause the state's input to become its output.

Default: - Replaces the entire input with the result (JSON path '$')

ResultSelector

The JSON that will replace the state's raw result and become the effective result before ResultPath is applied.

public IDictionary<string, object> ResultSelector { get; set; }
Property Value

System.Collections.Generic.IDictionary<System.String, System.Object>

Remarks

You can use ResultSelector to create a payload with values that are static or selected from the state's raw result.

Default: - None

See: https://docs.aws.amazon.com/step-functions/latest/dg/input-output-inputpath-params.html#input-output-resultselector

Role

Role for the Transform Job.

public IRole Role { get; set; }
Property Value

IRole

Remarks

Default: - A role is created with AmazonSageMakerFullAccess managed policy

Tags

Tags to be applied to the train job.

public IDictionary<string, string> Tags { get; set; }
Property Value

System.Collections.Generic.IDictionary<System.String, System.String>

Remarks

Default: - No tags

Timeout

Timeout for the state machine.

public Duration Timeout { get; set; }
Property Value

Duration

Remarks

Default: - None

TransformInput

Dataset to be transformed and the Amazon S3 location where it is stored.

public ITransformInput TransformInput { get; set; }
Property Value

ITransformInput

TransformJobName

Transform Job Name.

public string TransformJobName { get; set; }
Property Value

System.String

TransformOutput

S3 location where you want Amazon SageMaker to save the results from the transform job.

public ITransformOutput TransformOutput { get; set; }
Property Value

ITransformOutput

TransformResources

ML compute instances for the transform job.

public ITransformResources TransformResources { get; set; }
Property Value

ITransformResources

Remarks

Default: - 1 instance of type M4.XLarge

Implements

ISageMakerCreateTransformJobProps
ITaskStateBaseProps
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