SageMakerRuntime

Table of Contents

• SageMakerRuntime
  • Client
  • Paginators

Client

class SageMakerRuntime.Client

A low-level client representing Amazon SageMaker Runtime:

client = session.create_client('sagemaker-runtime')

These are the available methods:

• can_paginate()
• generate_presigned_url()
• get_paginator()
• get_waiter()
• invoke_endpoint()

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters

operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").

Returns

True if the operation can be paginated, False otherwise.

generate_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters

• ClientMethod (string) -- The client method to presign for
• Params (dict) -- The parameters normally passed to ClientMethod.
• ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
• HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.

Returns

The presigned url

get_paginator(operation_name)

Create a paginator for an operation.

Parameters

operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").

Raises OperationNotPageableError

Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.

Return type

L{botocore.paginate.Paginator}

Returns

A paginator object.

get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters

waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.

Returns

The specified waiter object.

Return type

botocore.waiter.Waiter

invoke_endpoint(**kwargs)

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 .

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.

Cals to InvokeEndpoint are authenticated by using AWS Signature Version 4. For information, see Authenticating Requests (AWS Signature Version 4) in the Amazon S3 API Reference .

Note

Endpoints are scoped to an individual account, and are not public. The URL does not contain the account ID, but Amazon SageMaker determines the account ID from the authentication token that is supplied by the caller.

See also: AWS API Documentation

Request Syntax

response = client.invoke_endpoint(
    EndpointName='string',
    Body=b'bytes'|file,
    ContentType='string',
    Accept='string',
    CustomAttributes='string'
)

Parameters

• EndpointName (string) --

  [REQUIRED]

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

• Body (bytes or seekable file-like object) --

  [REQUIRED]

  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) -- The MIME type of the input data in the request body.
• Accept (string) -- The desired MIME type of the inference in the response.
• CustomAttributes (string) --

Return type

dict

Returns

Response Syntax

{
    'Body': StreamingBody(),
    'ContentType': 'string',
    'InvokedProductionVariant': 'string',
    'CustomAttributes': 'string'
}

Response Structure

• (dict) --

  • Body (StreamingBody) --

    Includes the inference provided by the model.

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

  • ContentType (string) --

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

  • InvokedProductionVariant (string) --

    Identifies the production variant that was invoked.

  • CustomAttributes (string) --

Paginators

The available paginators are: