SageMakerMetrics module
Index > SageMakerMetrics
Auto-generated documentation for SageMakerMetrics type annotations stubs module mypy-boto3-sagemaker-metrics.
How to install
VSCode extension
Add AWS Boto3
extension to your VSCode and run AWS boto3: Quick Start command.
Click Modify and select boto3 common and SageMakerMetrics.
From PyPI with pip
Install boto3-stubs for SageMakerMetrics service.
# install with boto3 type annotations
python -m pip install 'boto3-stubs[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 'boto3-stubs-lite[sagemaker-metrics]'
# standalone installation
python -m pip install mypy-boto3-sagemaker-metricsHow to uninstall
python -m pip uninstall -y mypy-boto3-sagemaker-metricsUsage
Code samples can be found in Examples.
SageMakerMetricsClient
Type annotations and code completion for boto3.client("sagemaker-metrics") as SageMakerMetricsClient
boto3 documentation
# SageMakerMetricsClient usage example
from boto3.session import Session
from mypy_boto3_sagemaker_metrics.client import SageMakerMetricsClient
def get_client() -> SageMakerMetricsClient:
return Session().client("sagemaker-metrics")Literals
Type annotations for literals used in methods and schemas.
# PutMetricsErrorCodeType usage example
from mypy_boto3_sagemaker_metrics.literals import PutMetricsErrorCodeType
def get_value() -> PutMetricsErrorCodeType:
return "CONFLICT_ERROR"Typed dictionaries
Type annotations for typed dictionaries used in methods and schema.
# BatchPutMetricsErrorTypeDef usage example
from mypy_boto3_sagemaker_metrics.type_defs import BatchPutMetricsErrorTypeDef
def get_value() -> BatchPutMetricsErrorTypeDef:
return {
"Code": ...,
}