software.amazon.awscdk.services.stepfunctions.tasks

Interface ResourceConfig

All Superinterfaces:

software.amazon.jsii.JsiiSerializable

All Known Implementing Classes:

ResourceConfig.Jsii$Proxy

@Generated(value="jsii-pacmak/0.13.3 (build 3624e0f)",
           date="2019-07-04T19:44:32.565Z")
 @Stability(value=Experimental)
public interface ResourceConfig
extends software.amazon.jsii.JsiiSerializable

EXPERIMENTAL

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	ResourceConfig.Builder A builder for ResourceConfig
static class	ResourceConfig.Jsii$Proxy A proxy class which represents a concrete javascript instance of this type.

Method Summary

Modifier and Type	Method and Description
static ResourceConfig.Builder	builder()
Number	getInstanceCount() The number of ML compute instances to use.
software.amazon.awscdk.services.ec2.InstanceType	getInstanceType() ML compute instance type.
software.amazon.awscdk.services.kms.IKey	getVolumeEncryptionKey() KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
Number	getVolumeSizeInGb() Size of the ML storage volume that you want to provision.

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Detail

getInstanceCount

@Stability(value=Experimental)
Number getInstanceCount()

The number of ML compute instances to use. Default: 1 instance. EXPERIMENTAL

getInstanceType

@Stability(value=Experimental)
software.amazon.awscdk.services.ec2.InstanceType getInstanceType()

ML compute instance type. Default: is the 'm4.xlarge' instance type. EXPERIMENTAL

getVolumeSizeInGb

@Stability(value=Experimental)
Number getVolumeSizeInGb()

Size of the ML storage volume that you want to provision. Default: 10 GB EBS volume. EXPERIMENTAL

getVolumeEncryptionKey

@Stability(value=Experimental)
software.amazon.awscdk.services.kms.IKey getVolumeEncryptionKey()

KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job. EXPERIMENTAL

builder

@Stability(value=Experimental)
static ResourceConfig.Builder builder()

Returns:

a ResourceConfig.Builder of ResourceConfig