Utilities for scikit-learn.
Project description
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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