public static final class CfnModel.ContainerDefinitionProperty.Jsii$Proxy extends software.amazon.jsii.JsiiObject implements CfnModel.ContainerDefinitionProperty
CfnModel.ContainerDefinitionPropertyCfnModel.ContainerDefinitionProperty.Builder, CfnModel.ContainerDefinitionProperty.Jsii$Proxy| Modifier | Constructor and Description |
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protected |
Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)
Constructor that initializes the object based on values retrieved from the JsiiObject.
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| Modifier and Type | Method and Description |
|---|---|
com.fasterxml.jackson.databind.JsonNode |
$jsii$toJson() |
boolean |
equals(java.lang.Object o) |
java.lang.String |
getContainerHostname()
This parameter is ignored for models that contain only a `PrimaryContainer` .
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java.lang.Object |
getEnvironment()
The environment variables to set in the Docker container.
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java.lang.String |
getImage()
The path where inference code is stored.
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java.lang.Object |
getImageConfig()
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).
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java.lang.String |
getInferenceSpecificationName()
The inference specification name in the model package version.
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java.lang.String |
getMode()
Whether the container hosts a single model or multiple models.
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java.lang.String |
getModelDataUrl()
The S3 path where the model artifacts, which result from model training, are stored.
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java.lang.String |
getModelPackageName()
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
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java.lang.Object |
getMultiModelConfig()
Specifies additional configuration for multi-model endpoints.
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int |
hashCode() |
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, waitbuilderprotected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)
objRef - Reference to the JSII managed object.public final java.lang.String getContainerHostname()
CfnModel.ContainerDefinitionProperty
When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline . If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.
getContainerHostname in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.Object getEnvironment()
CfnModel.ContainerDefinitionProperty
Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.
getEnvironment in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.String getImage()
CfnModel.ContainerDefinitionProperty
This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. 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] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker
getImage in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.Object getImageConfig()
CfnModel.ContainerDefinitionPropertyFor information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers
getImageConfig in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.String getInferenceSpecificationName()
CfnModel.ContainerDefinitionPropertygetInferenceSpecificationName in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.String getMode()
CfnModel.ContainerDefinitionPropertygetMode in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.String getModelDataUrl()
CfnModel.ContainerDefinitionPropertyThis path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters .
The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.
If you provide a value for this parameter, SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provide. AWS STS is activated in your AWS account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide .
If you use a built-in algorithm to create a model, SageMaker requires that you provide a S3 path to the model artifacts in
ModelDataUrl.
getModelDataUrl in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.String getModelPackageName()
CfnModel.ContainerDefinitionPropertygetModelPackageName in interface CfnModel.ContainerDefinitionPropertypublic final java.lang.Object getMultiModelConfig()
CfnModel.ContainerDefinitionPropertygetMultiModelConfig in interface CfnModel.ContainerDefinitionPropertypublic com.fasterxml.jackson.databind.JsonNode $jsii$toJson()
public final boolean equals(java.lang.Object o)
public final int hashCode()