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Alpha release of ayx-learn.

Project description

[![Code style: black](](

# ayx-learn

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

## Source code organization

` . ├── ├── 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. ├── ├── tests │   └── unit: pytest unit tests. └── tox.ini: Ini file for tox. `

## Code standards

ayx-learn follows the [Alteryx Python Code Standards](

## Testing

Unit tests are written using [pytest]( and are located in ./tests/unit.

[tox]( can be used for creating a virtualenv and automatically running the pytest unit tests.

## Documentation

ayx-learn follows the [Alteryx Python Documentation Standards](

See [README](docs/

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