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MachineLearning module#

Index > MachineLearning

Auto-generated documentation for MachineLearning type annotations stubs module types-aiobotocore-machinelearning.

How to install#

You can generate type annotations for aiobotocore package locally with mypy-boto3-builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'aiobotocore==2.23.0' mypy-boto3-builder
  2. Select aiobotocore AWS SDK.
  3. Add MachineLearning service.
  4. Use provided commands to install generated packages.

From PyPI with pip#

Install types-aiobotocore for MachineLearning service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[machinelearning]'

# 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[machinelearning]'

# standalone installation
python -m pip install types-aiobotocore-machinelearning

How to uninstall#

python -m pip uninstall -y types-aiobotocore-machinelearning

Usage#

Code samples can be found in Examples.

MachineLearningClient#

Type annotations and code completion for session.create_client("machinelearning") as MachineLearningClient boto3 documentation

# MachineLearningClient usage example

from aiobotocore.session import get_session

from types_aiobotocore_machinelearning.client import MachineLearningClient


session = get_session()
async with session.create_client("machinelearning") as client:
    client: MachineLearningClient

Paginators#

Type annotations and code completion for paginators from session.create_client("machinelearning").get_paginator("...").

# DescribeBatchPredictionsPaginator usage example

from types_aiobotocore_machinelearning.paginator import DescribeBatchPredictionsPaginator

def get_describe_batch_predictions_paginator() -> DescribeBatchPredictionsPaginator:
    return client.get_paginator("describe_batch_predictions"))

Waiters#

Type annotations and code completion for waiters from session.create_client("machinelearning").get_waiter("...").

# BatchPredictionAvailableWaiter usage example

from types_aiobotocore_machinelearning.waiter import BatchPredictionAvailableWaiter

def get_batch_prediction_available_waiter() -> BatchPredictionAvailableWaiter:
    return Session().client("machinelearning").get_waiter("batch_prediction_available")

Literals#

Type annotations for literals used in methods and schema.

# AlgorithmType usage example

from types_aiobotocore_machinelearning.literals import AlgorithmType

def get_value() -> AlgorithmType:
    return "sgd"

Type definitions#

Type annotations for type definitions used in methods and schema.