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type-stubs / mypy-boto3-machinelearning
Install & Compatibility
Where this runs
tested against v1.43.0 · pip install
no network on importno background threads
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
muslpy 3.10–3.910 runs
installs and imports cleanly · install 0.0s · import 0.604s · 52MB
glibcpy 3.10–3.910 runs
installs and imports cleanly · install 3.8s · import 0.584s · 52MB
50MB installed
● package 50MB
Code
Verified usage
Verified import paths — ran on the pinned version, not inferred.
MachineLearningClient
✓ from mypy_boto3_machinelearning.client import MachineLearningClient
DescribeMLModelsPaginator
✓ from mypy_boto3_machinelearning.paginator import DescribeMLModelsPaginator
MLModelAvailableWaiter
✓ from mypy_boto3_machinelearning.waiter import MLModelAvailableWaiter
CreateMLModelInputRequestTypeDef
✓ from mypy_boto3_machinelearning.type_defs import CreateMLModelInputRequestTypeDef
This quickstart demonstrates how to initialize a type-hinted `boto3` Machine Learning client and use it to list ML models. It leverages `mypy-boto3-machinelearning` for static type checking and improved IDE support. Ensure `boto3` and AWS credentials are configured in your environment.
import boto3
import os
from mypy_boto3_machinelearning.client import MachineLearningClient
def get_ml_client(region: str) -> MachineLearningClient:
"""Initializes and returns a type-hinted MachineLearning client."""
client: MachineLearningClient = boto3.client("machinelearning", region_name=region)
return client
def list_all_ml_models() -> None:
"""Lists all ML models using the type-hinted client."""
region = os.environ.get('AWS_REGION', 'us-east-1')
try:
ml_client = get_ml_client(region)
print(f"Listing ML models in {region}...")
response = ml_client.describe_ml_models()
for model in response.get('Results', []):
print(f" Model ID: {model.get('MLModelId')}, Name: {model.get('MLModelName')}")
print("Successfully listed ML models.")
except Exception as e:
print(f"Error listing ML models: {e}")
if __name__ == "__main__":
# Ensure AWS credentials are configured (e.g., via environment variables or ~/.aws/credentials)
# Example: export AWS_REGION='us-east-1'
list_all_ml_models()
Debug
Known issues
breakingSupport for Python 3.8 has been removed in `mypy-boto3-builder` version 8.12.0 and later, affecting all generated packages including `mypy-boto3-machinelearning`. Projects now require Python >= 3.9.fixUpgrade your Python environment to 3.9 or newer.
affects: >=8.12.0 of mypy-boto3-builder (corresponds to mypy-boto3-machinelearning versions after this builder release)
breakingIn `mypy-boto3-builder` version 8.9.0, there were changes to `TypeDef` naming conventions. Specifically, `TypeDef`s for packed method arguments use shorter names, and conflicting `Extra` postfixes were moved to the end. This can break explicit imports of `TypeDef`s.fixReview and update your explicit `TypeDef` imports according to the new naming conventions, or rely on IDE auto-completion for discovery.
affects: >=8.9.0 of mypy-boto3-builder (corresponds to mypy-boto3-machinelearning versions after this builder release)
gotchaThe overarching `mypy-boto3` project has been superseded by `types-boto3` and `boto3-stubs` for general `boto3` type annotations. While service-specific packages like `mypy-boto3-machinelearning` continue to be released under their current name, be aware of the shift in the main project's branding if you are looking for generic `boto3` stubs.fixFor general `boto3` stubs, consider installing `types-boto3` or `boto3-stubs[service1,service2]` instead of the legacy `mypy-boto3` package. For service-specific stubs, continue using `mypy-boto3-<service>`.
affects: All versions
gotchaThe library migrated to PEP 561 compliance. This means type checkers should automatically discover the stubs. However, in some IDEs (e.g., VSCode), explicit type annotations for `boto3.client()` calls are still recommended to get full auto-complete and type hint benefits due to limitations in function overload support.fixAlways add explicit type annotations when initializing clients (e.g., `client: MachineLearningClient = boto3.client('machinelearning')`) for the best IDE experience, even if `mypy` works implicitly. affects: >=8.12.0 of mypy-boto3-builder (corresponds to mypy-boto3-machinelearning versions after this builder release)
Upgrade
Version history
1.43.0latest on PyPI · released Apr 29, 2026
Audit
Dependencies
boto3requiredProvides runtime functionality for AWS SDK calls, which this library type-hints.
mypyoptionalPrimary static type checker used with these annotations.
typing-extensionsoptionalRequired for certain type-hinting features, especially on Python versions prior to 3.9, though it is included as a calculated dependency by the builder.