Interface ResourceConfig
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
ResourceConfig.Jsii$Proxy
@Generated(value="jsii-pacmak/1.103.1 (build bef2dea)",
date="2024-10-25T14:21:24.594Z")
@Stability(Stable)
public interface ResourceConfig
extends software.amazon.jsii.JsiiSerializable
Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
Example:
SageMakerCreateTrainingJob.Builder.create(this, "TrainSagemaker") .trainingJobName(JsonPath.stringAt("$.JobName")) .algorithmSpecification(AlgorithmSpecification.builder() .algorithmName("BlazingText") .trainingInputMode(InputMode.FILE) .build()) .inputDataConfig(List.of(Channel.builder() .channelName("train") .dataSource(DataSource.builder() .s3DataSource(S3DataSource.builder() .s3DataType(S3DataType.S3_PREFIX) .s3Location(S3Location.fromJsonExpression("$.S3Bucket")) .build()) .build()) .build())) .outputDataConfig(OutputDataConfig.builder() .s3OutputLocation(S3Location.fromBucket(Bucket.fromBucketName(this, "Bucket", "amzn-s3-demo-bucket"), "myoutputpath")) .build()) .resourceConfig(ResourceConfig.builder() .instanceCount(1) .instanceType(new InstanceType(JsonPath.stringAt("$.InstanceType"))) .volumeSize(Size.gibibytes(50)) .build()) // optional: default is 1 instance of EC2 `M4.XLarge` with `10GB` volume .stoppingCondition(StoppingCondition.builder() .maxRuntime(Duration.hours(2)) .build()) .build();
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Nested Class Summary
Modifier and TypeInterfaceDescriptionstatic final class
A builder forResourceConfig
static final class
An implementation forResourceConfig
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Method Summary
Modifier and TypeMethodDescriptionstatic ResourceConfig.Builder
builder()
The number of ML compute instances to use.ML compute instance type.default IKey
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.Size of the ML storage volume that you want to provision.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
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Method Details
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getInstanceCount
The number of ML compute instances to use.Default: 1 instance.
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getInstanceType
ML compute instance type.To provide an instance type from the task input, supply an instance type in the following way where the value in the task input is an EC2 instance type prepended with "ml.":
new InstanceType(JsonPath.stringAt("$.path.to.instanceType"));
Default: ec2.InstanceType(ec2.InstanceClass.M4, ec2.InstanceType.XLARGE)
- See Also:
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getVolumeSize
Size of the ML storage volume that you want to provision.Default: 10 GB EBS volume.
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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.Default: - Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account
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builder
- Returns:
- a
ResourceConfig.Builder
ofResourceConfig
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