SageMakerMetrics module#
Index > SageMakerMetrics
Auto-generated documentation for SageMakerMetrics type annotations stubs module types-aiobotocore-sagemaker-metrics.
How to install#
From PyPI with pip#
Install types-aiobotocore
for SageMakerMetrics
service.
# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[sagemaker-metrics]'
# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aiobotocore-lite[sagemaker-metrics]'
# standalone installation
python -m pip install types-aiobotocore-sagemaker-metrics
How to uninstall#
python -m pip uninstall -y types-aiobotocore-sagemaker-metrics
Usage#
Code samples can be found in Examples.
SageMakerMetricsClient#
Type annotations and code completion for session.create_client("sagemaker-metrics")
as SageMakerMetricsClient
boto3 documentation
# SageMakerMetricsClient usage example
from aiobotocore.session import get_session
from types_aiobotocore_sagemaker_metrics.client import SageMakerMetricsClient
session = get_session()
async with session.create_client("sagemaker-metrics") as client:
client: SageMakerMetricsClient
Literals#
Type annotations for literals used in methods and schema.
# PutMetricsErrorCodeType usage example
from types_aiobotocore_sagemaker_metrics.literals import PutMetricsErrorCodeType
def get_value() -> PutMetricsErrorCodeType:
return "CONFLICT_ERROR"
Type definitions#
Type annotations for type definitions used in methods and schema.