CleanRoomsML module

Index > CleanRoomsML

Auto-generated documentation for CleanRoomsML type annotations stubs module mypy-boto3-cleanroomsml.

How to install

Generate locally (recommended)

You can generate type annotations for boto3 package locally with mypy_boto3_builder. Use uv for build isolation.

1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.35.79' mypy_boto3_builder
2. Select boto3 (legacy boto3-stubs) AWS SDK.
3. Add CleanRoomsML service.
4. Use provided commands to install generated packages.

VSCode extension

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and CleanRoomsML.

From PyPI with pip

Install boto3-stubs for CleanRoomsML service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[cleanroomsml]'

# 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[cleanroomsml]'

# standalone installation
python -m pip install mypy-boto3-cleanroomsml

How to uninstall

python -m pip uninstall -y mypy-boto3-cleanroomsml

Usage

Code samples can be found in Examples.

CleanRoomsMLClient

Type annotations and code completion for boto3.client("cleanroomsml") as CleanRoomsMLClient