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Utilities for scikit-learn.

Project description

PyPI-Status PyPI-Versions Build-Status Codecov LICENCE

Folksy experiment management for Machine Learning.

# TBD

1 Installation

pip install folk

2 Basic Use

folk is divided into several sub-modules by functionality:

3 Contributing

Package author and current maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.

3.1 Installing for development

Clone:

git clone git@github.com:shaypal5/folk.git

Install in development mode:

cd folk
pip install -e .

3.2 Running the tests

To run the tests use:

pip install pytest pytest-cov coverage
cd folk
pytest

3.3 Adding documentation

The project is documented using the numpy docstring conventions, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings. When documenting code you add to this project, follow these conventions.

4 Credits

Created by Shay Palachy (shay.palachy@gmail.com).

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