Documentation ¶
Overview ¶
Package sagemakerruntime provides the client and types for making API requests to Amazon SageMaker Runtime.
Amazon SageMaker runtime API.
See https://docs.aws.amazon.com/goto/WebAPI/runtime.sagemaker-2017-05-13 for more information on this service.
See sagemakerruntime package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/sagemakerruntime/
Using the Client ¶
To Amazon SageMaker Runtime with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently.
See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/
See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config
See the Amazon SageMaker Runtime client SageMakerRuntime for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/sagemakerruntime/#New
Index ¶
Constants ¶
const ( // ErrCodeInternalFailure for service response error code // "InternalFailure". // // Internal failure occurred. ErrCodeInternalFailure = "InternalFailure" // ErrCodeModelError for service response error code // "ModelError". // // Model (owned by the customer in the container) returned an error 500. ErrCodeModelError = "ModelError" // "ServiceUnavailable". // // Service is unavailable. Try your call again. ErrCodeServiceUnavailable = "ServiceUnavailable" // ErrCodeValidationError for service response error code // "ValidationError". // // Inspect your request and try again. ErrCodeValidationError = "ValidationError" )
const ( ServiceName = "runtime.sagemaker" // Service endpoint prefix API calls made to. EndpointsID = ServiceName // Service ID for Regions and Endpoints metadata. )
Service information constants
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type InvokeEndpointInput ¶
type InvokeEndpointInput struct { // The desired MIME type of the inference in the response. Accept *string `location:"header" locationName:"Accept" type:"string"` // 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. // // Body is a required field Body []byte `type:"blob" required:"true"` // The MIME type of the input data in the request body. ContentType *string `location:"header" locationName:"Content-Type" type:"string"` // The name of the endpoint that you specified when you created the endpoint // using the CreateEndpoint (http://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html) // API. // // EndpointName is a required field EndpointName *string `location:"uri" locationName:"EndpointName" type:"string" required:"true"` // contains filtered or unexported fields }
Please also see https://docs.aws.amazon.com/goto/WebAPI/runtime.sagemaker-2017-05-13/InvokeEndpointInput
func (InvokeEndpointInput) GoString ¶
func (s InvokeEndpointInput) GoString() string
GoString returns the string representation
func (InvokeEndpointInput) MarshalFields ¶ added in v0.3.0
func (s InvokeEndpointInput) MarshalFields(e protocol.FieldEncoder) error
MarshalFields encodes the AWS API shape using the passed in protocol encoder.
func (InvokeEndpointInput) String ¶
func (s InvokeEndpointInput) String() string
String returns the string representation
func (*InvokeEndpointInput) Validate ¶
func (s *InvokeEndpointInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type InvokeEndpointOutput ¶
type InvokeEndpointOutput struct { // Includes the inference provided by the model. // // Body is a required field Body []byte `type:"blob" required:"true"` // The MIME type of the inference returned in the response body. ContentType *string `location:"header" locationName:"Content-Type" type:"string"` // Identifies the production variant that was invoked. InvokedProductionVariant *string `location:"header" locationName:"x-Amzn-Invoked-Production-Variant" type:"string"` // contains filtered or unexported fields }
Please also see https://docs.aws.amazon.com/goto/WebAPI/runtime.sagemaker-2017-05-13/InvokeEndpointOutput
func (InvokeEndpointOutput) GoString ¶
func (s InvokeEndpointOutput) GoString() string
GoString returns the string representation
func (InvokeEndpointOutput) MarshalFields ¶ added in v0.3.0
func (s InvokeEndpointOutput) MarshalFields(e protocol.FieldEncoder) error
MarshalFields encodes the AWS API shape using the passed in protocol encoder.
func (InvokeEndpointOutput) SDKResponseMetadata ¶
func (s InvokeEndpointOutput) SDKResponseMetadata() aws.Response
SDKResponseMetdata return sthe response metadata for the API.
func (InvokeEndpointOutput) String ¶
func (s InvokeEndpointOutput) String() string
String returns the string representation
type InvokeEndpointRequest ¶
type InvokeEndpointRequest struct { *aws.Request Input *InvokeEndpointInput Copy func(*InvokeEndpointInput) InvokeEndpointRequest }
InvokeEndpointRequest is a API request type for the InvokeEndpoint API operation.
func (InvokeEndpointRequest) Send ¶
func (r InvokeEndpointRequest) Send() (*InvokeEndpointOutput, error)
Send marshals and sends the InvokeEndpoint API request.
type SageMakerRuntime ¶
SageMakerRuntime provides the API operation methods for making requests to Amazon SageMaker Runtime. See this package's package overview docs for details on the service.
SageMakerRuntime methods are safe to use concurrently. It is not safe to modify mutate any of the struct's properties though.
func New ¶
func New(config aws.Config) *SageMakerRuntime
New creates a new instance of the SageMakerRuntime client with a config.
Example:
// Create a SageMakerRuntime client from just a config. svc := sagemakerruntime.New(myConfig)
func (*SageMakerRuntime) InvokeEndpointRequest ¶
func (c *SageMakerRuntime) InvokeEndpointRequest(input *InvokeEndpointInput) InvokeEndpointRequest
InvokeEndpointRequest returns a request value for making API operation for Amazon SageMaker Runtime.
After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.
For an overview of Amazon SageMaker, see How It Works (http://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html)
Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.
// Example sending a request using the InvokeEndpointRequest method. req := client.InvokeEndpointRequest(params) resp, err := req.Send() if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/runtime.sagemaker-2017-05-13/InvokeEndpoint
Directories ¶
Path | Synopsis |
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Package sagemakerruntimeiface provides an interface to enable mocking the Amazon SageMaker Runtime service client for testing your code.
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Package sagemakerruntimeiface provides an interface to enable mocking the Amazon SageMaker Runtime service client for testing your code. |