Uses of Class
com.amazonaws.services.sagemaker.model.ContainerDefinition

Packages that use ContainerDefinition

Package	Description
com.amazonaws.services.sagemaker.model

Uses of ContainerDefinition in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return ContainerDefinition

Modifier and Type	Method and Description
ContainerDefinition	ContainerDefinition.addEnvironmentEntry(String key, String value) Add a single Environment entry
ContainerDefinition	ContainerDefinition.clearEnvironmentEntries() Removes all the entries added into Environment.
ContainerDefinition	ContainerDefinition.clone()
ContainerDefinition	CreateModelRequest.getPrimaryContainer() The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
ContainerDefinition	DescribeModelResult.getPrimaryContainer() The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
ContainerDefinition	ContainerDefinition.withContainerHostname(String containerHostname) This parameter is ignored for models that contain only a PrimaryContainer.
ContainerDefinition	ContainerDefinition.withEnvironment(Map<String,String> environment) The environment variables to set in the Docker container.
ContainerDefinition	ContainerDefinition.withImage(String image) The path where inference code is stored.
ContainerDefinition	ContainerDefinition.withImageConfig(ImageConfig imageConfig) Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).
ContainerDefinition	ContainerDefinition.withInferenceSpecificationName(String inferenceSpecificationName) The inference specification name in the model package version.
ContainerDefinition	ContainerDefinition.withMode(ContainerMode mode) Whether the container hosts a single model or multiple models.
ContainerDefinition	ContainerDefinition.withMode(String mode) Whether the container hosts a single model or multiple models.
ContainerDefinition	ContainerDefinition.withModelDataUrl(String modelDataUrl) The S3 path where the model artifacts, which result from model training, are stored.
ContainerDefinition	ContainerDefinition.withModelPackageName(String modelPackageName) The name or Amazon Resource Name (ARN) of the model package to use to create the model.
ContainerDefinition	ContainerDefinition.withMultiModelConfig(MultiModelConfig multiModelConfig) Specifies additional configuration for multi-model endpoints.

Methods in com.amazonaws.services.sagemaker.model that return types with arguments of type ContainerDefinition

Modifier and Type	Method and Description
List<ContainerDefinition>	CreateModelRequest.getContainers() Specifies the containers in the inference pipeline.
List<ContainerDefinition>	DescribeModelResult.getContainers() The containers in the inference pipeline.

Methods in com.amazonaws.services.sagemaker.model with parameters of type ContainerDefinition

Modifier and Type	Method and Description
void	CreateModelRequest.setPrimaryContainer(ContainerDefinition primaryContainer) The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
void	DescribeModelResult.setPrimaryContainer(ContainerDefinition primaryContainer) The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
CreateModelRequest	CreateModelRequest.withContainers(ContainerDefinition... containers) Specifies the containers in the inference pipeline.
DescribeModelResult	DescribeModelResult.withContainers(ContainerDefinition... containers) The containers in the inference pipeline.
CreateModelRequest	CreateModelRequest.withPrimaryContainer(ContainerDefinition primaryContainer) The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
DescribeModelResult	DescribeModelResult.withPrimaryContainer(ContainerDefinition primaryContainer) The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.

Method parameters in com.amazonaws.services.sagemaker.model with type arguments of type ContainerDefinition

Modifier and Type	Method and Description
void	CreateModelRequest.setContainers(Collection<ContainerDefinition> containers) Specifies the containers in the inference pipeline.
void	DescribeModelResult.setContainers(Collection<ContainerDefinition> containers) The containers in the inference pipeline.
CreateModelRequest	CreateModelRequest.withContainers(Collection<ContainerDefinition> containers) Specifies the containers in the inference pipeline.
DescribeModelResult	DescribeModelResult.withContainers(Collection<ContainerDefinition> containers) The containers in the inference pipeline.