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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-metrics

How to uninstall#

python -m pip uninstall -y mypy-boto3-sagemaker-metrics


Code samples can be found in Examples.


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")


Type annotations for literals used in methods and schema.

# PutMetricsErrorCodeType usage example

from mypy_boto3_sagemaker_metrics.literals import PutMetricsErrorCodeType

def get_value() -> PutMetricsErrorCodeType:
    return "CONFLICT_ERROR"

Type definitions#

Type annotations for type definitions used in methods and schema.