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-aiobotocore[sagemaker-runtime] package installed.

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

# SageMakerRuntimeClient usage example

from aiobotocore.session import get_session


session = get_session()

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

1. client: SageMakerRuntimeClient
2. result: InvokeEndpointOutputTypeDef

Explicit type annotations

With types-aiobotocore-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.

# SageMakerRuntimeClient usage example with type annotations

from aiobotocore.session import get_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 = get_session()

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