PyPI 官网下载 | mypy-boto3-machinelearning-1.17.41.0.tar.gz

# mypy-boto3-machinelearning [](https://pypi.org/project/mypy-boto3-machinelearning) [](https://pypi.org/project/mypy-boto3-machinelearning) [](https://mypy-boto3-builder.readthedocs.io/)  Type annotations for [boto3.MachineLearning 1.17.41](https://boto3.amazonaws.com/v1/documentation/api/1.17.41/reference/services/machinelearning.html#MachineLearning) service compatible with [VSCode](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/), [Emacs](https://www.gnu.org/software/emacs/), [Sublime Text](https://www.sublimetext.com/), [mypy](https://github.com/python/mypy), [pyright](https://github.com/microsoft/pyright) and other tools. Generated by [mypy-boto3-buider 4.4.0](https://github.com/vemel/mypy_boto3_builder). More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page. See how it helps to find and fix potential bugs:  - [mypy-boto3-machinelearning](#mypy-boto3-machinelearning) - [How to install](#how-to-install) - [Usage](#usage) - [VSCode](#vscode) - [PyCharm](#pycharm) - [Other IDEs](#other-ides) - [mypy](#mypy) - [pyright](#pyright) - [Explicit type annotations](#explicit-type-annotations) - [Client annotations](#client-annotations) - [Paginators annotations](#paginators-annotations) - [Waiters annotations](#waiters-annotations) - [Service Resource annotations](#service-resource-annotations) - [Other resources annotations](#other-resources-annotations) - [Collections annotations](#collections-annotations) - [Typed dictionations](#typed-dictionations) ## How to install Install `boto3-stubs` for `MachineLearning` service. ```bash python -m pip install boto3-stubs[machinelearning] ``` ## Usage ### VSCode - Install [Python extension](https://marketplace.visualstudio.com/items?itemName=ms-python.python) - Install [Pylance extension](https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance) - Set `Pylance` as your Python Language Server - Install `boto-stubs[machinelearning]` in your environment: `python -m pip install 'boto3-stubs[machinelearning]'` Both type checking and auto-complete should work for `MachineLearning` service. No explicit type annotations required, write your `boto3` code as usual. ### PyCharm - Install `boto-stubs[machinelearning]` in your environment: `python -m pip install 'boto3-stubs[machinelearning]'` Both type checking and auto-complete should work for `MachineLearning` service. No explicit type annotations required, write your `boto3` code as usual. Auto-complete can be slow on big projects or if you have a lot of installed `boto3-stubs` submodules. ### Other IDEs Not tested, but as long as your IDE support `mypy` or `pyright`, everything should work. ### mypy - Install `mypy`: `python -m pip install mypy` - Install `boto-stubs[machinelearning]` in your environment: `python -m pip install 'boto3-stubs[machinelearning]'` - Run `mypy` as usual Type checking should work for `MachineLearning` service. No explicit type annotations required, write your `boto3` code as usual. ### pyright - Install `pyright`: `yarn global add pyright` - Install `boto-stubs[machinelearning]` in your environment: `python -m pip install 'boto3-stubs[machinelearning]'` - Optionally, you can install `boto3-stubs` to `typings` folder. Type checking should work for `MachineLearning` service. No explicit type annotations required, write your `boto3` code as usual. ## Explicit type annotations ### Client annotations `MachineLearningClient` provides annotations for `boto3.client("machinelearning")`. ```python import boto3 from mypy_boto3_machinelearning import MachineLearningClient client: MachineLearningClient = boto3.client("machinelearning") # now client usage is checked by mypy and IDE should provide code auto-complete # works for session as well session = boto3.session.Session(region="us-west-1") session_client: MachineLearningClient = session.client("machinelearning") ``` ### Paginators annotations `mypy_boto3_machinelearning.paginator` module contains type annotations for all paginators. ```python from mypy_boto3_machinelearning import MachineLearningClient from mypy_boto3_machinelearning.paginator import ( DescribeBatchPredictionsPaginator, DescribeDataSourcesPaginator, DescribeEvaluationsPaginator, DescribeMLModelsPaginator, ) client: MachineLearningClient = boto3.client("machinelearning") # Explicit type annotations are optional here # Type should be correctly discovered by mypy and IDEs # VSCode requires explicit type annotations describe_batch_predictions_paginator: DescribeBatchPredictionsPaginator = client.get_paginator("describe_batch_predictions") describe_data_sources_paginator: DescribeDataSourcesPaginator = client.get_paginator("describe_data_sources") describe_evaluations_paginator: DescribeEvaluationsPaginator = client.get_paginator("describe_evaluations") describe_ml_models_paginator: DescribeMLModelsPaginator = client.get_paginator("describe_ml_models") ``` ### Waiters annotations `mypy_boto3_machinelearning.waiter` module contains type annotations for all waiters. ```python from mypy_boto3_machinelearning import MachineLearningClient from mypy_boto3_machinelearning.waiter import ( BatchPredictionAvailableWaiter, DataSourceAvailableWaiter, EvaluationAvailableWaiter, MLModelAvailableWaiter, ) client: MachineLearningClient = boto3.client("machinelearning") # Explicit type annotations are optional here # Type should be correctly discovered by mypy and IDEs # VSCode requires explicit type annotations batch_prediction_available_waiter: BatchPredictionAvailableWaiter = client.get_waiter("batch_prediction_available") data_source_available_waiter: DataSourceAvailableWaiter = client.get_waiter("data_source_available") evaluation_available_waiter: EvaluationAvailableWaiter = client.get_waiter("evaluation_available") ml_model_available_waiter: MLModelAvailableWaiter = client.get_waiter("ml_model_available") ``` ### Typed dictionations `mypy_boto3_machinelearning.type_defs` module contains structures and shapes assembled to typed dictionaries for additional type checking. ```python from mypy_boto3_machinelearning.type_defs import ( BatchPredictionTypeDef, DataSourceTypeDef, EvaluationTypeDef, MLModelTypeDef, PerformanceMetricsTypeDef, PredictionTypeDef, RDSDatabaseCredentialsTypeDef, RDSDatabaseTypeDef, RDSMetadataTypeDef, RealtimeEndpointInfoTypeDef, RedshiftDatabaseCredentialsTypeDef, RedshiftDatabaseTypeDef, RedshiftMetadataTypeDef, ResponseMetadata, TagTypeDef, AddTagsOutputTypeDef, CreateBatchPredictionOutputTypeDef, CreateDataSourceFromRDSOutputTypeDef, CreateDataSourceFromRedshiftOutputTypeDef, CreateDataSourceFromS3OutputTypeDef, CreateEvaluationOutputTypeDef, CreateMLModelOutputTypeDef, CreateRealtimeEndpointOutputTypeDef, DeleteBatchPredictionOutputTypeDef, DeleteDataSourceOutputTypeDef, DeleteEvaluationOutputTypeDef, DeleteMLModelOutputTypeDef, DeleteRealtimeEndpointOutputTypeDef, DeleteTagsOutputTypeDef, DescribeBatchPredictionsOutputTypeDef, DescribeDataSourcesOutputTypeDef, DescribeEvaluationsOutputTypeDef, DescribeMLModelsOutputTypeDef, DescribeTagsOutputTypeDef, GetBatchPredictionOutputTypeDef, GetDataSourceOutputTypeDef, GetEvaluationOutputTypeDef, GetMLModelOutputTypeDef, PaginatorConfigTypeDef, PredictOutputTyp