Interface SageMakerCreateEndpointConfigProps
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable,TaskStateBaseProps
- All Known Implementing Classes:
SageMakerCreateEndpointConfigProps.Jsii$Proxy
@Generated(value="jsii-pacmak/1.84.0 (build 5404dcf)",
date="2023-06-19T16:30:48.183Z")
@Stability(Stable)
public interface SageMakerCreateEndpointConfigProps
extends software.amazon.jsii.JsiiSerializable, TaskStateBaseProps
Properties for creating an Amazon SageMaker endpoint configuration.
Example:
SageMakerCreateEndpointConfig.Builder.create(this, "SagemakerEndpointConfig")
.endpointConfigName("MyEndpointConfig")
.productionVariants(List.of(ProductionVariant.builder()
.initialInstanceCount(2)
.instanceType(InstanceType.of(InstanceClass.M5, InstanceSize.XLARGE))
.modelName("MyModel")
.variantName("awesome-variant")
.build()))
.build();
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Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final classA builder forSageMakerCreateEndpointConfigPropsstatic final classAn implementation forSageMakerCreateEndpointConfigProps -
Method Summary
Modifier and TypeMethodDescriptionbuilder()The name of the endpoint configuration.default IKeyAWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.An list of ProductionVariant objects, one for each model that you want to host at this endpoint.default TaskInputgetTags()Tags to be applied to the endpoint configuration.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJsonMethods inherited from interface software.amazon.awscdk.services.stepfunctions.TaskStateBaseProps
getComment, getHeartbeat, getInputPath, getIntegrationPattern, getOutputPath, getResultPath, getResultSelector, getTimeout
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Method Details
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getEndpointConfigName
The name of the endpoint configuration. -
getProductionVariants
An list of ProductionVariant objects, one for each model that you want to host at this endpoint.Identifies a model that you want to host and the resources to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.
-
getKmsKey
AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.Default: - None
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getTags
Tags to be applied to the endpoint configuration.Default: - No tags
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builder
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