Examples

Index > SageMakerMetrics > Examples

Auto-generated documentation for SageMakerMetrics type annotations stubs module types-aiobotocore-sagemaker-metrics.

Client

Implicit type annotations

Can be used with types-aiobotocore[sagemaker-metrics] package installed.

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

Client method usage example

# SageMakerMetricsClient usage example

from aiobotocore.session import get_session


session = get_session()

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

1. client: SageMakerMetricsClient
2. result: BatchGetMetricsResponseTypeDef

Explicit type annotations

With types-aiobotocore-lite[sagemaker-metrics] or a standalone types_aiobotocore_sagemaker_metrics package, you have to explicitly specify client: SageMakerMetricsClient 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 method usage example

# SageMakerMetricsClient usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_sagemaker_metrics.client import SageMakerMetricsClient
from types_aiobotocore_sagemaker_metrics.type_defs import BatchGetMetricsResponseTypeDef
from types_aiobotocore_sagemaker_metrics.type_defs import BatchGetMetricsRequestTypeDef


session = get_session()

async with session.create_client("sagemaker-metrics") as client:
    client: SageMakerMetricsClient
    kwargs: BatchGetMetricsRequestTypeDef = {...}
    result: BatchGetMetricsResponseTypeDef = await client.batch_get_metrics(**kwargs)