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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.