Examples

Index > SageMakerMetrics > Examples

Auto-generated documentation for SageMakerMetrics type annotations stubs module mypy-boto3-sagemaker-metrics.

Client

Implicit type annotations

Can be used with boto3-stubs[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 boto3.session import Session


session = Session()

client = session.client("sagemaker-metrics")  # (1)
result = client.batch_get_metrics()  # (2)

1. client: SageMakerMetricsClient
2. result: BatchGetMetricsResponseTypeDef

Explicit type annotations

With boto3-stubs-lite[sagemaker-metrics] or a standalone mypy_boto3_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 boto3.session import Session

from mypy_boto3_sagemaker_metrics.client import SageMakerMetricsClient
from mypy_boto3_sagemaker_metrics.type_defs import BatchGetMetricsResponseTypeDef
from mypy_boto3_sagemaker_metrics.type_defs import BatchGetMetricsRequestTypeDef


session = Session()

client: SageMakerMetricsClient = session.client("sagemaker-metrics")

kwargs: BatchGetMetricsRequestTypeDef = {...}
result: BatchGetMetricsResponseTypeDef = client.batch_get_metrics(**kwargs)