<a id="mypy-boto3-machinelearning"></a>
# mypy-boto3-machinelearning
[](https://pypi.org/project/mypy-boto3-machinelearning)
[](https://pypi.org/project/mypy-boto3-machinelearning)
[](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/)
[](https://pepy.tech/project/mypy-boto3-machinelearning)
Type annotations for
[boto3.MachineLearning 1.33.0](https://boto3.amazonaws.com/v1/documentation/api/latest/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-builder 7.20.3](https://github.com/youtype/mypy_boto3_builder).
More information can be found on
[boto3-stubs](https://pypi.org/project/boto3-stubs/) page and in
[mypy-boto3-machinelearning docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/).
See how it helps to find and fix potential bugs:
- [mypy-boto3-machinelearning](#mypy-boto3-machinelearning)
- [How to install](#how-to-install)
- [VSCode extension](#vscode-extension)
- [From PyPI with pip](#from-pypi-with-pip)
- [How to uninstall](#how-to-uninstall)
- [Usage](#usage)
- [VSCode](#vscode)
- [PyCharm](#pycharm)
- [Emacs](#emacs)
- [Sublime Text](#sublime-text)
- [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)
- [Literals](#literals)
- [Type definitions](#type-definitions)
- [How it works](#how-it-works)
- [What's new](#what's-new)
- [Implemented features](#implemented-features)
- [Latest changes](#latest-changes)
- [Versioning](#versioning)
- [Thank you](#thank-you)
- [Documentation](#documentation)
- [Support and contributing](#support-and-contributing)
<a id="how-to-install"></a>
## How to install
<a id="vscode-extension"></a>
### VSCode extension
Add
[AWS Boto3](https://marketplace.visualstudio.com/items?itemName=Boto3typed.boto3-ide)
extension to your VSCode and run `AWS boto3: Quick Start` command.
Click `Modify` and select `boto3 common` and `MachineLearning`.
<a id="from-pypi-with-pip"></a>
### From PyPI with pip
Install `boto3-stubs` for `MachineLearning` service.
```bash
# install with boto3 type annotations
python -m pip install 'boto3-stubs[machinelearning]'
# 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[machinelearning]'
# standalone installation
python -m pip install mypy-boto3-machinelearning
```
<a id="how-to-uninstall"></a>
## How to uninstall
```bash
python -m pip uninstall -y mypy-boto3-machinelearning
```
<a id="usage"></a>
## Usage
<a id="vscode"></a>
### 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 `boto3-stubs[machinelearning]` in your environment:
```bash
python -m pip install 'boto3-stubs[machinelearning]'
```
Both type checking and code completion should now work. No explicit type
annotations required, write your `boto3` code as usual.
<a id="pycharm"></a>
### PyCharm
Install `boto3-stubs-lite[machinelearning]` in your environment:
```bash
python -m pip install 'boto3-stubs-lite[machinelearning]'`
```
Both type checking and code completion should now work. Explicit type
annotations **are required**.
Use `boto3-stubs` package instead for implicit type discovery.
<a id="emacs"></a>
### Emacs
- Install `boto3-stubs` with services you use in your environment:
```bash
python -m pip install 'boto3-stubs[machinelearning]'
```
- Install [use-package](https://github.com/jwiegley/use-package),
[lsp](https://github.com/emacs-lsp/lsp-mode/),
[company](https://github.com/company-mode/company-mode) and
[flycheck](https://github.com/flycheck/flycheck) packages
- Install [lsp-pyright](https://github.com/emacs-lsp/lsp-pyright) package
```elisp
(use-package lsp-pyright
:ensure t
:hook (python-mode . (lambda ()
(require 'lsp-pyright)
(lsp))) ; or lsp-deferred
:init (when (executable-find "python3")
(setq lsp-pyright-python-executable-cmd "python3"))
)
```
- Make sure emacs uses the environment where you have installed `boto3-stubs`
Type checking should now work. No explicit type annotations required, write
your `boto3` code as usual.
<a id="sublime-text"></a>
### Sublime Text
- Install `boto3-stubs[machinelearning]` with services you use in your
environment:
```bash
python -m pip install 'boto3-stubs[machinelearning]'
```
- Install [LSP-pyright](https://github.com/sublimelsp/LSP-pyright) package
Type checking should now work. No explicit type annotations required, write
your `boto3` code as usual.
<a id="other-ides"></a>
### Other IDEs
Not tested, but as long as your IDE supports `mypy` or `pyright`, everything
should work.
<a id="mypy"></a>
### mypy
- Install `mypy`: `python -m pip install mypy`
- Install `boto3-stubs[machinelearning]` in your environment:
```bash
python -m pip install 'boto3-stubs[machinelearning]'`
```
Type checking should now work. No explicit type annotations required, write
your `boto3` code as usual.
<a id="pyright"></a>
### pyright
- Install `pyright`: `npm i -g pyright`
- Install `boto3-stubs[machinelearning]` in your environment:
```bash
python -m pip install 'boto3-stubs[machinelearning]'
```
Optionally, you can install `boto3-stubs` to `typings` folder.
Type checking should now work. No explicit type annotations required, write
your `boto3` code as usual.
<a id="explicit-type-annotations"></a>
## Explicit type annotations
<a id="client-annotations"></a>
### Client annotations
`MachineLearningClient` provides annotations for
`boto3.client("machinelearning")`.
```python
from boto3.session import Session
from mypy_boto3_machinelearning import MachineLearningClient
client: MachineLearningClient = Session().client("machinelearning")
# now client usage is checked by mypy and IDE should provide code completion
```
<a id="paginators-annotations"></a>
### Paginators annotations
`mypy_boto3_machinelearning.paginator` module contains type annotations for all
paginators.
```python
from boto3.session import Session
from mypy_boto3_machinelearning import MachineLearningClient
from mypy_boto3_machinelearning.paginator import (
DescribeBatchPredictionsPaginator,
DescribeDataSourcesPaginator,
DescribeEvaluationsPaginator,
DescribeMLModelsPaginator,
)
client: MachineLearningClient = Session().client("machinelearning")
# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
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")
```
<a id="waiters-annotations"></a>
### Waiters annotations
`mypy_boto3_machinelearning.waiter` module contains type annotations for all
waiters.
```python
from boto3.session import Session
from mypy_boto3_machinelearning import MachineLearningClient
from mypy_boto3_machinelearning.waiter import (
BatchPredictionAvailableWaiter,
DataSourceAvailableWaiter,
EvaluationAvailableWaiter,
MLModelAvailableWaiter,
)
client: MachineLearningClient = Session().client("machinelearning")
# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
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")
```
<a id="literals"></a>
### Literals
`mypy_boto3_machinelearning.literals` module contains literals extracted from
shapes that can be used in user code for type checking.
Full list of `MachineLearning` Literals can be found in
[docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/literals/).
```python
from mypy_boto3_machinelearning.literals import AlgorithmType
def check_value(value: AlgorithmType) -> bool: ...
```
<a id="type-definitions"></a>
### Type definitions
`mypy_boto3_machinelearning.type_defs` module contains structures and shapes
assembled to typed dictionaries and unions for additional type checking.
Full list of `MachineLearning` TypeDefs can be found in
[docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/type_defs/).
```python
from mypy_boto3_machinelearning.type_defs import TagTypeDef
def get_value() -> TagTypeDef:
return {...}
```
<a id="how-it-works"></a>
## How it works
Fully automated
[mypy-boto3-builder](https://github.com/youtype/mypy_boto3_builder) carefully
generates type annotations for each service, patiently waiting for `boto3`
updates. It delivers drop-in type annotations for you and makes sure that:
- All available `boto3` services are covered.
- Each public class and method of every `boto3` service gets valid type
annotations extracted from `botocore` schemas.
- Type annotations include up-to-date documentation.
- Link to documentation is provided for every method.
- Code is processed by [black](https://github.com/psf/black) and
[isort](https://github.com/PyCQA/isort) for readability.
<a id="what's-new"></a>
## What's new
<a id="implemented-features"></a>
### Implemented features
- Fully type annotated `boto3`, `botocore`, `aiobotocore` and `aioboto3`
libraries
- `mypy`, `pyright`, `VSCode`, `PyCharm`, `Sublime Text` and `Emacs`
compatibility
- `Client`, `ServiceResource`, `Resource`, `Waiter` `Paginator` type
annotations for each service
- Generated `TypeDefs` for each service
- Generated `Literals` for each service
- Auto discovery of types for `boto3.client` and `boto3.resource` calls
- Auto discovery of types for `session.client` and `session.resource` calls
- Auto discovery of types for `client.get_waiter` and `client.get_paginator`
calls
- Auto discovery of types for `ServiceResource` and `Resource` collections
- Auto discovery of types for `aiobotocore.Session.create_client` calls
<a id="latest-changes"></a>
### Latest changes
Builder changelog can be found in
[Releases](https://github.com/youtype/mypy_boto3_builder/releases).
<a id="versioning"></a>
## Versioning
`mypy-boto3-machinelearning` version is the same as related `boto3` version and
follows [PEP 440](https://www.python.org/dev/peps/pep-0440/) format.
<a id="thank-you"></a>
## Thank you
- [Allie Fitter](https://github.com/alliefitter) for
[boto3-type-annotations](https://pypi.org/project/boto3-type-annotations/),
this package is based on top of his work
- [black](https://github.com/psf/black) developers for an awesome formatting
tool
- [Timothy Edmund Crosley](https://github.com/timothycrosley) for
[isort](https://github.com/PyCQA/isort) and how flexible it is
- [mypy](https://github.com/python/mypy) developers for doing all dirty work
for us
- [pyright](https://github.com/microsoft/pyright) team for the new era of typed
Python
<a id="documentation"></a>
## Documentation
All services type annotations can be found in
[boto3 docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/)
<a id="support-and-contributing"></a>
## Support and contributing
This package is auto-generated. Please reports any bugs or request new features
in [mypy-boto3-builder](https://github.com/youtype/mypy_boto3_builder/issues/)
repository.
Raw data
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"name": "mypy-boto3-machinelearning",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "boto3 machinelearning type-annotations botocore mypy typeshed autocomplete",
"author": "Vlad Emelianov",
"author_email": "vlad.emelianov.nz@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/3a/c7/c05cf353749b38e37f988fbbb390b0d55cdd5046982646a58c87c27a83cf/mypy-boto3-machinelearning-1.33.0.tar.gz",
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"description": "<a id=\"mypy-boto3-machinelearning\"></a>\n\n# mypy-boto3-machinelearning\n\n[](https://pypi.org/project/mypy-boto3-machinelearning)\n[](https://pypi.org/project/mypy-boto3-machinelearning)\n[](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/)\n[](https://pepy.tech/project/mypy-boto3-machinelearning)\n\n\n\nType annotations for\n[boto3.MachineLearning 1.33.0](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/machinelearning.html#MachineLearning)\nservice compatible with [VSCode](https://code.visualstudio.com/),\n[PyCharm](https://www.jetbrains.com/pycharm/),\n[Emacs](https://www.gnu.org/software/emacs/),\n[Sublime Text](https://www.sublimetext.com/),\n[mypy](https://github.com/python/mypy),\n[pyright](https://github.com/microsoft/pyright) and other tools.\n\nGenerated by\n[mypy-boto3-builder 7.20.3](https://github.com/youtype/mypy_boto3_builder).\n\nMore information can be found on\n[boto3-stubs](https://pypi.org/project/boto3-stubs/) page and in\n[mypy-boto3-machinelearning docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/).\n\nSee how it helps to find and fix potential bugs:\n\n\n\n- [mypy-boto3-machinelearning](#mypy-boto3-machinelearning)\n - [How to install](#how-to-install)\n - [VSCode extension](#vscode-extension)\n - [From PyPI with pip](#from-pypi-with-pip)\n - [How to uninstall](#how-to-uninstall)\n - [Usage](#usage)\n - [VSCode](#vscode)\n - [PyCharm](#pycharm)\n - [Emacs](#emacs)\n - [Sublime Text](#sublime-text)\n - [Other IDEs](#other-ides)\n - [mypy](#mypy)\n - [pyright](#pyright)\n - [Explicit type annotations](#explicit-type-annotations)\n - [Client annotations](#client-annotations)\n - [Paginators annotations](#paginators-annotations)\n - [Waiters annotations](#waiters-annotations)\n - [Literals](#literals)\n - [Type definitions](#type-definitions)\n - [How it works](#how-it-works)\n - [What's new](#what's-new)\n - [Implemented features](#implemented-features)\n - [Latest changes](#latest-changes)\n - [Versioning](#versioning)\n - [Thank you](#thank-you)\n - [Documentation](#documentation)\n - [Support and contributing](#support-and-contributing)\n\n<a id=\"how-to-install\"></a>\n\n## How to install\n\n<a id=\"vscode-extension\"></a>\n\n### VSCode extension\n\nAdd\n[AWS Boto3](https://marketplace.visualstudio.com/items?itemName=Boto3typed.boto3-ide)\nextension to your VSCode and run `AWS boto3: Quick Start` command.\n\nClick `Modify` and select `boto3 common` and `MachineLearning`.\n\n<a id=\"from-pypi-with-pip\"></a>\n\n### From PyPI with pip\n\nInstall `boto3-stubs` for `MachineLearning` service.\n\n```bash\n# install with boto3 type annotations\npython -m pip install 'boto3-stubs[machinelearning]'\n\n\n# Lite version does not provide session.client/resource overloads\n# it is more RAM-friendly, but requires explicit type annotations\npython -m pip install 'boto3-stubs-lite[machinelearning]'\n\n\n# standalone installation\npython -m pip install mypy-boto3-machinelearning\n```\n\n<a id=\"how-to-uninstall\"></a>\n\n## How to uninstall\n\n```bash\npython -m pip uninstall -y mypy-boto3-machinelearning\n```\n\n<a id=\"usage\"></a>\n\n## Usage\n\n<a id=\"vscode\"></a>\n\n### VSCode\n\n- Install\n [Python extension](https://marketplace.visualstudio.com/items?itemName=ms-python.python)\n- Install\n [Pylance extension](https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance)\n- Set `Pylance` as your Python Language Server\n- Install `boto3-stubs[machinelearning]` in your environment:\n\n```bash\npython -m pip install 'boto3-stubs[machinelearning]'\n```\n\nBoth type checking and code completion should now work. No explicit type\nannotations required, write your `boto3` code as usual.\n\n<a id=\"pycharm\"></a>\n\n### PyCharm\n\nInstall `boto3-stubs-lite[machinelearning]` in your environment:\n\n```bash\npython -m pip install 'boto3-stubs-lite[machinelearning]'`\n```\n\nBoth type checking and code completion should now work. Explicit type\nannotations **are required**.\n\nUse `boto3-stubs` package instead for implicit type discovery.\n\n<a id=\"emacs\"></a>\n\n### Emacs\n\n- Install `boto3-stubs` with services you use in your environment:\n\n```bash\npython -m pip install 'boto3-stubs[machinelearning]'\n```\n\n- Install [use-package](https://github.com/jwiegley/use-package),\n [lsp](https://github.com/emacs-lsp/lsp-mode/),\n [company](https://github.com/company-mode/company-mode) and\n [flycheck](https://github.com/flycheck/flycheck) packages\n- Install [lsp-pyright](https://github.com/emacs-lsp/lsp-pyright) package\n\n```elisp\n(use-package lsp-pyright\n :ensure t\n :hook (python-mode . (lambda ()\n (require 'lsp-pyright)\n (lsp))) ; or lsp-deferred\n :init (when (executable-find \"python3\")\n (setq lsp-pyright-python-executable-cmd \"python3\"))\n )\n```\n\n- Make sure emacs uses the environment where you have installed `boto3-stubs`\n\nType checking should now work. No explicit type annotations required, write\nyour `boto3` code as usual.\n\n<a id=\"sublime-text\"></a>\n\n### Sublime Text\n\n- Install `boto3-stubs[machinelearning]` with services you use in your\n environment:\n\n```bash\npython -m pip install 'boto3-stubs[machinelearning]'\n```\n\n- Install [LSP-pyright](https://github.com/sublimelsp/LSP-pyright) package\n\nType checking should now work. No explicit type annotations required, write\nyour `boto3` code as usual.\n\n<a id=\"other-ides\"></a>\n\n### Other IDEs\n\nNot tested, but as long as your IDE supports `mypy` or `pyright`, everything\nshould work.\n\n<a id=\"mypy\"></a>\n\n### mypy\n\n- Install `mypy`: `python -m pip install mypy`\n- Install `boto3-stubs[machinelearning]` in your environment:\n\n```bash\npython -m pip install 'boto3-stubs[machinelearning]'`\n```\n\nType checking should now work. No explicit type annotations required, write\nyour `boto3` code as usual.\n\n<a id=\"pyright\"></a>\n\n### pyright\n\n- Install `pyright`: `npm i -g pyright`\n- Install `boto3-stubs[machinelearning]` in your environment:\n\n```bash\npython -m pip install 'boto3-stubs[machinelearning]'\n```\n\nOptionally, you can install `boto3-stubs` to `typings` folder.\n\nType checking should now work. No explicit type annotations required, write\nyour `boto3` code as usual.\n\n<a id=\"explicit-type-annotations\"></a>\n\n## Explicit type annotations\n\n<a id=\"client-annotations\"></a>\n\n### Client annotations\n\n`MachineLearningClient` provides annotations for\n`boto3.client(\"machinelearning\")`.\n\n```python\nfrom boto3.session import Session\n\nfrom mypy_boto3_machinelearning import MachineLearningClient\n\nclient: MachineLearningClient = Session().client(\"machinelearning\")\n\n# now client usage is checked by mypy and IDE should provide code completion\n```\n\n<a id=\"paginators-annotations\"></a>\n\n### Paginators annotations\n\n`mypy_boto3_machinelearning.paginator` module contains type annotations for all\npaginators.\n\n```python\nfrom boto3.session import Session\n\nfrom mypy_boto3_machinelearning import MachineLearningClient\nfrom mypy_boto3_machinelearning.paginator import (\n DescribeBatchPredictionsPaginator,\n DescribeDataSourcesPaginator,\n DescribeEvaluationsPaginator,\n DescribeMLModelsPaginator,\n)\n\nclient: MachineLearningClient = Session().client(\"machinelearning\")\n\n# Explicit type annotations are optional here\n# Types should be correctly discovered by mypy and IDEs\ndescribe_batch_predictions_paginator: DescribeBatchPredictionsPaginator = client.get_paginator(\n \"describe_batch_predictions\"\n)\ndescribe_data_sources_paginator: DescribeDataSourcesPaginator = client.get_paginator(\n \"describe_data_sources\"\n)\ndescribe_evaluations_paginator: DescribeEvaluationsPaginator = client.get_paginator(\n \"describe_evaluations\"\n)\ndescribe_ml_models_paginator: DescribeMLModelsPaginator = client.get_paginator(\"describe_ml_models\")\n```\n\n<a id=\"waiters-annotations\"></a>\n\n### Waiters annotations\n\n`mypy_boto3_machinelearning.waiter` module contains type annotations for all\nwaiters.\n\n```python\nfrom boto3.session import Session\n\nfrom mypy_boto3_machinelearning import MachineLearningClient\nfrom mypy_boto3_machinelearning.waiter import (\n BatchPredictionAvailableWaiter,\n DataSourceAvailableWaiter,\n EvaluationAvailableWaiter,\n MLModelAvailableWaiter,\n)\n\nclient: MachineLearningClient = Session().client(\"machinelearning\")\n\n# Explicit type annotations are optional here\n# Types should be correctly discovered by mypy and IDEs\nbatch_prediction_available_waiter: BatchPredictionAvailableWaiter = client.get_waiter(\n \"batch_prediction_available\"\n)\ndata_source_available_waiter: DataSourceAvailableWaiter = client.get_waiter(\"data_source_available\")\nevaluation_available_waiter: EvaluationAvailableWaiter = client.get_waiter(\"evaluation_available\")\nml_model_available_waiter: MLModelAvailableWaiter = client.get_waiter(\"ml_model_available\")\n```\n\n<a id=\"literals\"></a>\n\n### Literals\n\n`mypy_boto3_machinelearning.literals` module contains literals extracted from\nshapes that can be used in user code for type checking.\n\nFull list of `MachineLearning` Literals can be found in\n[docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/literals/).\n\n```python\nfrom mypy_boto3_machinelearning.literals import AlgorithmType\n\n\ndef check_value(value: AlgorithmType) -> bool: ...\n```\n\n<a id=\"type-definitions\"></a>\n\n### Type definitions\n\n`mypy_boto3_machinelearning.type_defs` module contains structures and shapes\nassembled to typed dictionaries and unions for additional type checking.\n\nFull list of `MachineLearning` TypeDefs can be found in\n[docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/type_defs/).\n\n```python\nfrom mypy_boto3_machinelearning.type_defs import TagTypeDef\n\n\ndef get_value() -> TagTypeDef:\n return {...}\n```\n\n<a id=\"how-it-works\"></a>\n\n## How it works\n\nFully automated\n[mypy-boto3-builder](https://github.com/youtype/mypy_boto3_builder) carefully\ngenerates type annotations for each service, patiently waiting for `boto3`\nupdates. It delivers drop-in type annotations for you and makes sure that:\n\n- All available `boto3` services are covered.\n- Each public class and method of every `boto3` service gets valid type\n annotations extracted from `botocore` schemas.\n- Type annotations include up-to-date documentation.\n- Link to documentation is provided for every method.\n- Code is processed by [black](https://github.com/psf/black) and\n [isort](https://github.com/PyCQA/isort) for readability.\n\n<a id=\"what's-new\"></a>\n\n## What's new\n\n<a id=\"implemented-features\"></a>\n\n### Implemented features\n\n- Fully type annotated `boto3`, `botocore`, `aiobotocore` and `aioboto3`\n libraries\n- `mypy`, `pyright`, `VSCode`, `PyCharm`, `Sublime Text` and `Emacs`\n compatibility\n- `Client`, `ServiceResource`, `Resource`, `Waiter` `Paginator` type\n annotations for each service\n- Generated `TypeDefs` for each service\n- Generated `Literals` for each service\n- Auto discovery of types for `boto3.client` and `boto3.resource` calls\n- Auto discovery of types for `session.client` and `session.resource` calls\n- Auto discovery of types for `client.get_waiter` and `client.get_paginator`\n calls\n- Auto discovery of types for `ServiceResource` and `Resource` collections\n- Auto discovery of types for `aiobotocore.Session.create_client` calls\n\n<a id=\"latest-changes\"></a>\n\n### Latest changes\n\nBuilder changelog can be found in\n[Releases](https://github.com/youtype/mypy_boto3_builder/releases).\n\n<a id=\"versioning\"></a>\n\n## Versioning\n\n`mypy-boto3-machinelearning` version is the same as related `boto3` version and\nfollows [PEP 440](https://www.python.org/dev/peps/pep-0440/) format.\n\n<a id=\"thank-you\"></a>\n\n## Thank you\n\n- [Allie Fitter](https://github.com/alliefitter) for\n [boto3-type-annotations](https://pypi.org/project/boto3-type-annotations/),\n this package is based on top of his work\n- [black](https://github.com/psf/black) developers for an awesome formatting\n tool\n- [Timothy Edmund Crosley](https://github.com/timothycrosley) for\n [isort](https://github.com/PyCQA/isort) and how flexible it is\n- [mypy](https://github.com/python/mypy) developers for doing all dirty work\n for us\n- [pyright](https://github.com/microsoft/pyright) team for the new era of typed\n Python\n\n<a id=\"documentation\"></a>\n\n## Documentation\n\nAll services type annotations can be found in\n[boto3 docs](https://youtype.github.io/boto3_stubs_docs/mypy_boto3_machinelearning/)\n\n<a id=\"support-and-contributing\"></a>\n\n## Support and contributing\n\nThis package is auto-generated. Please reports any bugs or request new features\nin [mypy-boto3-builder](https://github.com/youtype/mypy_boto3_builder/issues/)\nrepository.\n",
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