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

Packages that use RecommendationJobContainerConfig

Package	Description
com.amazonaws.services.sagemaker.model

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

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

Modifier and Type	Method and Description
RecommendationJobContainerConfig	RecommendationJobContainerConfig.clone()
RecommendationJobContainerConfig	RecommendationJobInputConfig.getContainerConfig() Specifies mandatory fields for running an Inference Recommender job.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withDataInputConfig(String dataInputConfig) Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withDomain(String domain) The machine learning domain of the model and its components.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withFramework(String framework) The machine learning framework of the container image.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withFrameworkVersion(String frameworkVersion) The framework version of the container image.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withNearestModelName(String nearestModelName) The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withPayloadConfig(RecommendationJobPayloadConfig payloadConfig) Specifies the SamplePayloadUrl and all other sample payload-related fields.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withSupportedEndpointType(RecommendationJobSupportedEndpointType supportedEndpointType) The endpoint type to receive recommendations for.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withSupportedEndpointType(String supportedEndpointType) The endpoint type to receive recommendations for.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withSupportedInstanceTypes(Collection<String> supportedInstanceTypes) A list of the instance types that are used to generate inferences in real-time.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withSupportedInstanceTypes(String... supportedInstanceTypes) A list of the instance types that are used to generate inferences in real-time.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withSupportedResponseMIMETypes(Collection<String> supportedResponseMIMETypes) The supported MIME types for the output data.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withSupportedResponseMIMETypes(String... supportedResponseMIMETypes) The supported MIME types for the output data.
RecommendationJobContainerConfig	RecommendationJobContainerConfig.withTask(String task) The machine learning task that the model accomplishes.

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

Modifier and Type	Method and Description
void	RecommendationJobInputConfig.setContainerConfig(RecommendationJobContainerConfig containerConfig) Specifies mandatory fields for running an Inference Recommender job.
RecommendationJobInputConfig	RecommendationJobInputConfig.withContainerConfig(RecommendationJobContainerConfig containerConfig) Specifies mandatory fields for running an Inference Recommender job.