mypy-boto3-machinelearning 1.13.26.2

Type annotations for boto3.MachineLearning 1.13.26 service, generated by mypy-boto3-buider 2.0.4

mypy-boto3-machinelearning

• mypy-boto3-machinelearning
  • How to use
  • Automated type discovery

Type annotations for boto3.MachineLearning 1.13.26 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.0.4.

More information can be found on boto3-stubs page.

How to use

Make sure you have mypy installed and activated in your IDE.

Install boto3-stubs for MachineLearning service.

python -m pip install boto3-stubs[machinelearning]

Use boto3 with mypy_boto3_machinelearning in your project and enjoy type checking and auto-complete.

import boto3

from mypy_boto3_machinelearning import MachineLearningClient

# Now mypy can check if your code is valid.
client: MachineLearningClient = boto3.client("machinelearning")

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: MachineLearningClient = session.client("machinelearning")



# Waiters are also supported

import mypy_boto3_machinelearning.waiter as machinelearning_waiters

batch_prediction_available_waiter: machinelearning_waiters.BatchPredictionAvailableWaiter = client.get_waiter("batch_prediction_available")
data_source_available_waiter: machinelearning_waiters.DataSourceAvailableWaiter = client.get_waiter("data_source_available")
evaluation_available_waiter: machinelearning_waiters.EvaluationAvailableWaiter = client.get_waiter("evaluation_available")
ml_model_available_waiter: machinelearning_waiters.MLModelAvailableWaiter = client.get_waiter("ml_model_available")


# Annotated paginators are included as well

import mypy_boto3_machinelearning.paginator as machinelearning_paginators

describe_batch_predictions_paginator: machinelearning_paginators.DescribeBatchPredictionsPaginator = client.get_paginator("describe_batch_predictions")
describe_data_sources_paginator: machinelearning_paginators.DescribeDataSourcesPaginator = client.get_paginator("describe_data_sources")
describe_evaluations_paginator: machinelearning_paginators.DescribeEvaluationsPaginator = client.get_paginator("describe_evaluations")
describe_ml_models_paginator: machinelearning_paginators.DescribeMLModelsPaginator = client.get_paginator("describe_ml_models")

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_machinelearning and other installed services.

# Run this command after you add or remove service packages
python -m mypy_boto3

Generated type annotations provide overloads for boto3.client and boto3.resource, boto3.Session.client and boto3.Session.resource functions, so explicit type annotations are not needed.

• mypy supports function overloads as expected
• PyCharm also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed
• VSCode does not currently support function overloads, use explicit type annotations

import boto3

# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("machinelearning")

session_client = boto3.Session().client("machinelearning")