[][src]Struct rusoto_sagemaker_runtime::InvokeEndpointInput

pub struct InvokeEndpointInput {
    pub accept: Option<String>,
    pub body: Bytes,
    pub content_type: Option<String>,
    pub custom_attributes: Option<String>,
    pub endpoint_name: String,
    pub target_model: Option<String>,
}

Fields

accept: Option<String>

The desired MIME type of the inference in the response.

body: Bytes

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.

content_type: Option<String>

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

custom_attributes: Option<String>

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.

endpoint_name: String

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

target_model: Option<String>

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

Trait Implementations

impl Clone for InvokeEndpointInput[src]

impl Debug for InvokeEndpointInput[src]

impl Default for InvokeEndpointInput[src]

impl PartialEq<InvokeEndpointInput> for InvokeEndpointInput[src]

impl Serialize for InvokeEndpointInput[src]

impl StructuralPartialEq for InvokeEndpointInput[src]

Auto Trait Implementations

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type Error = Infallible

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type Error = <U as TryFrom<T>>::Error

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