Class CfnModelPackage.ModelPackageContainerDefinitionProperty.Jsii$Proxy
java.lang.Object
software.amazon.jsii.JsiiObject
software.amazon.awscdk.services.sagemaker.CfnModelPackage.ModelPackageContainerDefinitionProperty.Jsii$Proxy
- All Implemented Interfaces:
CfnModelPackage.ModelPackageContainerDefinitionProperty,software.amazon.jsii.JsiiSerializable
- Enclosing interface:
- CfnModelPackage.ModelPackageContainerDefinitionProperty
@Stability(Stable)
@Internal
public static final class CfnModelPackage.ModelPackageContainerDefinitionProperty.Jsii$Proxy
extends software.amazon.jsii.JsiiObject
implements CfnModelPackage.ModelPackageContainerDefinitionProperty
An implementation for
CfnModelPackage.ModelPackageContainerDefinitionProperty-
Nested Class Summary
Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject
software.amazon.jsii.JsiiObject.InitializationModeNested classes/interfaces inherited from interface software.amazon.awscdk.services.sagemaker.CfnModelPackage.ModelPackageContainerDefinitionProperty
CfnModelPackage.ModelPackageContainerDefinitionProperty.Builder, CfnModelPackage.ModelPackageContainerDefinitionProperty.Jsii$Proxy -
Constructor Summary
ConstructorsModifierConstructorDescriptionprotectedConstructor that initializes the object based on literal property values passed by theCfnModelPackage.ModelPackageContainerDefinitionProperty.Builder.protectedJsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef) Constructor that initializes the object based on values retrieved from the JsiiObject. -
Method Summary
Modifier and TypeMethodDescriptioncom.fasterxml.jackson.databind.JsonNodefinal booleanfinal StringThe DNS host name for the Docker container.final ObjectThe environment variables to set in the Docker container.final StringThe machine learning framework of the model package container image.final StringThe framework version of the Model Package Container Image.final StringgetImage()The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.final StringAn MD5 hash of the training algorithm that identifies the Docker image used for training.final StringThe Amazon S3 path where the model artifacts, which result from model training, are stored.final ObjectA structure with Model Input details.final StringThe name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.final StringThe AWS Marketplace product ID of the model package.final inthashCode()Methods inherited from class software.amazon.jsii.JsiiObject
jsiiAsyncCall, jsiiAsyncCall, jsiiCall, jsiiCall, jsiiGet, jsiiGet, jsiiSet, jsiiStaticCall, jsiiStaticCall, jsiiStaticGet, jsiiStaticGet, jsiiStaticSet, jsiiStaticSet
-
Constructor Details
-
Jsii$Proxy
protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef) Constructor that initializes the object based on values retrieved from the JsiiObject.- Parameters:
objRef- Reference to the JSII managed object.
-
Jsii$Proxy
Constructor that initializes the object based on literal property values passed by theCfnModelPackage.ModelPackageContainerDefinitionProperty.Builder.
-
-
Method Details
-
getImage
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both
registry/repository[:tag]andregistry/repository[@digest]image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker .- Specified by:
getImagein interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getContainerHostname
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe DNS host name for the Docker container.- Specified by:
getContainerHostnamein interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getEnvironment
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe environment variables to set in the Docker container.Each key and value in the
Environmentstring to string map can have length of up to 1024. We support up to 16 entries in the map.- Specified by:
getEnvironmentin interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getFramework
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe machine learning framework of the model package container image.- Specified by:
getFrameworkin interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getFrameworkVersion
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe framework version of the Model Package Container Image.- Specified by:
getFrameworkVersionin interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getImageDigest
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyAn MD5 hash of the training algorithm that identifies the Docker image used for training.- Specified by:
getImageDigestin interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getModelDataUrl
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe Amazon S3 path where the model artifacts, which result from model training, are stored.This path must point to a single
gzipcompressed tar archive (.tar.gzsuffix).The model artifacts must be in an S3 bucket that is in the same region as the model package.
- Specified by:
getModelDataUrlin interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getModelInput
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyA structure with Model Input details.- Specified by:
getModelInputin interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getNearestModelName
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model.You can find a list of benchmarked models by calling
ListModelMetadata.- Specified by:
getNearestModelNamein interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
getProductId
Description copied from interface:CfnModelPackage.ModelPackageContainerDefinitionPropertyThe AWS Marketplace product ID of the model package.- Specified by:
getProductIdin interfaceCfnModelPackage.ModelPackageContainerDefinitionProperty
-
$jsii$toJson
@Internal public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()- Specified by:
$jsii$toJsonin interfacesoftware.amazon.jsii.JsiiSerializable
-
equals
-
hashCode
public final int hashCode()
-