Examples

Index > SageMakerRuntime > Examples

Auto-generated documentation for SageMakerRuntime type annotations stubs module types-aiobotocore-sagemaker-runtime.

Client

Implicit type annotations

Can be used with types-aioboto3[sagemaker-runtime] package installed.

Write your SageMakerRuntime code as usual, type checking and code completion should work out of the box.

Client

Client usage example

from aioboto3.session import Session


session = Session()

async with session.client("sagemaker-runtime") as client:  # (1)
    result = await client.invoke_endpoint()  # (2)

1. client: SageMakerRuntimeClient
2. result: InvokeEndpointOutputTypeDef

Explicit type annotations

With types-aioboto3-lite[sagemaker-runtime] or a standalone types_aiobotocore_sagemaker_runtime package, you have to explicitly specify client: SageMakerRuntimeClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

Client

Client usage example

from aioboto3.session import Session

from types_aiobotocore_sagemaker_runtime.client import SageMakerRuntimeClient
from types_aiobotocore_sagemaker_runtime.type_defs import InvokeEndpointOutputTypeDef
from types_aiobotocore_sagemaker_runtime.type_defs import InvokeEndpointInputRequestTypeDef


session = Session()

client: SageMakerRuntimeClient
async with session.client("sagemaker-runtime") as client:  # (1)
    kwargs: InvokeEndpointInputRequestTypeDef = {...}  # (2)
    result: InvokeEndpointOutputTypeDef = await client.invoke_endpoint(**kwargs)  # (3)

1. client: SageMakerRuntimeClient
2. kwargs: InvokeEndpointInputRequestTypeDef
3. result: InvokeEndpointOutputTypeDef