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Alpha release of ayx-learn.

Project description

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

# ayx-learn

A foundation of [scikit-learn](https://scikit-learn.org/stable/) compatible data science tools, such as Transformers, that both Alteryx Assisted Modeling and Code Fee ML Tools are built on.

## Source code organization

` . ├── README.md ├── ayx_learn: Source code for the ayx_learn package. │   ├── classifiers: Classifiers source code. │   ├── regressors: Regressors source code. │   ├── transformers: Transformer source code. │   └── utils: Utility functions, such as validation. ├── docs: Sphinx documentation. ├── requirements-dev.txt: Requirements for development env. ├── requirements.txt: Requirements for building and running in a production env. ├── setup.py ├── tests │   └── unit: pytest unit tests. └── tox.ini: Ini file for tox. `

## Code standards

ayx-learn follows the [Alteryx Python Code Standards](https://alteryx.quip.com/qR3kAG4OA32X/Python-Code-Standards)

## Testing

Unit tests are written using [pytest](https://docs.pytest.org/) and are located in ./tests/unit.

[tox](https://tox.readthedocs.io/) can be used for creating a virtualenv and automatically running the pytest unit tests.

## Documentation

ayx-learn follows the [Alteryx Python Documentation Standards](https://alteryx.quip.com/bFgiAZThHaJv/Python-Documentation-Standards).

See [README](docs/README.md).

Project details


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