Serialized Form

Package com.amazonaws.services.sagemakerruntime.model

Class com.amazonaws.services.sagemakerruntime.model.AmazonSageMakerRuntimeException extends AmazonServiceException implements Serializable

serialVersionUID:

1L

Class com.amazonaws.services.sagemakerruntime.model.InternalFailureException extends AmazonSageMakerRuntimeException implements Serializable

serialVersionUID:

1L

Class com.amazonaws.services.sagemakerruntime.model.InvokeEndpointRequest extends AmazonWebServiceRequest implements Serializable

Serialized Fields

endpointName

String endpointName

The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

body

ByteBuffer body

Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

For information about the format of the request body, see Common Data Formats—Inference.

contentType

String contentType

The MIME type of the input data in the request body.

accept

String accept

The desired MIME type of the inference in the response.

customAttributes

String customAttributes

Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

targetModel

String targetModel

Specifies the model to be requested for an inference when invoking a multi-model endpoint.

Class com.amazonaws.services.sagemakerruntime.model.InvokeEndpointResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable

Serialized Fields

body

ByteBuffer body

Includes the inference provided by the model.

For information about the format of the response body, see Common Data Formats—Inference.

contentType

String contentType

The MIME type of the inference returned in the response body.

invokedProductionVariant

String invokedProductionVariant

Identifies the production variant that was invoked.

customAttributes

String customAttributes

Provides additional information in the response about the inference returned by a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to return an ID received in the CustomAttributes header of a request or other metadata that a service endpoint was programmed to produce. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). If the customer wants the custom attribute returned, the model must set the custom attribute to be included on the way back.

This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

Class com.amazonaws.services.sagemakerruntime.model.ModelErrorException extends AmazonSageMakerRuntimeException implements Serializable

serialVersionUID:

1L

Serialized Fields

originalStatusCode

Integer originalStatusCode

Original status code.

originalMessage

String originalMessage

Original message.

logStreamArn

String logStreamArn

The Amazon Resource Name (ARN) of the log stream.

Class com.amazonaws.services.sagemakerruntime.model.ServiceUnavailableException extends AmazonSageMakerRuntimeException implements Serializable

serialVersionUID:

1L

Class com.amazonaws.services.sagemakerruntime.model.ValidationErrorException extends AmazonSageMakerRuntimeException implements Serializable

serialVersionUID:

1L