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        "description": "[![Build Status](https://travis-ci.org/kmedian/kfactor.svg?branch=master)](https://travis-ci.org/kmedian/kfactor)\n[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/kmedian/kfactor/master?urlpath=lab)\n\n# kfactor\nk-Factor Nearest Correlation Matrix Fit\n\n\n## Installation\nThe `kfactor` [git repo](http://github.com/kmedian/kfactor) is available as [PyPi package](https://pypi.org/project/kfactor)\n\n```\npip install kfactor\n```\n\n\n## Usage\nCheck the [examples](https://github.com/kmedian/kfactor/blob/master/examples/kfactor%20example.ipynb) folder for notebooks.\n\n\n## Commands\n* Check syntax: `flake8 --ignore=F401`\n* Remove `.pyc` files: `find . -type f -name \"*.pyc\" | xargs rm`\n* Remove `__pycache__` folders: `find . -type d -name \"__pycache__\" | xargs rm -rf`\n* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`\n\n\n## Support\nPlease [open an issue](https://github.com/kmedian/kfactor/issues/new) for support.\n\n\n## Contributing\nPlease contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/kfactor/compare/).",
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