Class CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder
java.lang.Object
software.amazon.awscdk.cfnpropertymixins.services.sagemaker.CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder
- All Implemented Interfaces:
software.amazon.jsii.Builder<CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty>
- Enclosing interface:
CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty
@Stability(Stable)
public static final class CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder
extends Object
implements software.amazon.jsii.Builder<CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty>
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionbuild()Builds the configured instance.containerHostname(String containerHostname) environment(Map<String, String> environment) environment(IResolvable environment) frameworkVersion(String frameworkVersion) imageDigest(String imageDigest) modelDataSource(CfnModelPackagePropsMixin.ModelDataSourceProperty modelDataSource) modelDataSource(IResolvable modelDataSource) modelDataUrl(String modelDataUrl) modelInput(Object modelInput) nearestModelName(String nearestModelName)
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Constructor Details
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Builder
public Builder()
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Method Details
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containerHostname
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder containerHostname(String containerHostname) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getContainerHostname()- Parameters:
containerHostname- The DNS host name for the Docker container.- Returns:
this
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environment
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder environment(Map<String, String> environment) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getEnvironment()- Parameters:
environment- The environment variables to set in the Docker container. Each key and value in theEnvironmentstring to string map can have length of up to 1024. We support up to 16 entries in the map.- Returns:
this
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environment
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder environment(IResolvable environment) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getEnvironment()- Parameters:
environment- The environment variables to set in the Docker container. Each key and value in theEnvironmentstring to string map can have length of up to 1024. We support up to 16 entries in the map.- Returns:
this
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framework
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder framework(String framework) - Parameters:
framework- The machine learning framework of the model package container image.- Returns:
this
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frameworkVersion
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder frameworkVersion(String frameworkVersion) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getFrameworkVersion()- Parameters:
frameworkVersion- The framework version of the Model Package Container Image.- Returns:
this
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image
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder image(String image) - Parameters:
image- The Amazon Elastic 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 bothregistry/repository[:tag]andregistry/repository[@digest]image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker .- Returns:
this
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imageDigest
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder imageDigest(String imageDigest) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getImageDigest()- Parameters:
imageDigest- An MD5 hash of the training algorithm that identifies the Docker image used for training.- Returns:
this
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modelDataSource
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder modelDataSource(IResolvable modelDataSource) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getModelDataSource()- Parameters:
modelDataSource- Specifies the location of ML model data to deploy during endpoint creation.- Returns:
this
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modelDataSource
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder modelDataSource(CfnModelPackagePropsMixin.ModelDataSourceProperty modelDataSource) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getModelDataSource()- Parameters:
modelDataSource- Specifies the location of ML model data to deploy during endpoint creation.- Returns:
this
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modelDataUrl
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder modelDataUrl(String modelDataUrl) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getModelDataUrl()- Parameters:
modelDataUrl- The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a singlegzipcompressed tar archive (.tar.gzsuffix).The model artifacts must be in an S3 bucket that is in the same region as the model package.
- Returns:
this
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modelInput
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder modelInput(Object modelInput) - Parameters:
modelInput- A structure with Model Input details.- Returns:
this
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nearestModelName
@Stability(Stable) public CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.Builder nearestModelName(String nearestModelName) Sets the value ofCfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty.getNearestModelName()- Parameters:
nearestModelName- The 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 callingListModelMetadata.- Returns:
this
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build
Builds the configured instance.- Specified by:
buildin interfacesoftware.amazon.jsii.Builder<CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty>- Returns:
- a new instance of
CfnModelPackagePropsMixin.ModelPackageContainerDefinitionProperty - Throws:
NullPointerException- if any required attribute was not provided
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