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k-Factor Nearest Correlation Matrix Fit

Project description

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kfactor

k-Factor Nearest Correlation Matrix Fit

Installation

The kfactor git repo is available as PyPi package

pip install kfactor

Usage

Check the examples folder for notebooks.

Commands

  • Check syntax: flake8 --ignore=F401
  • Remove .pyc files: find . -type f -name "*.pyc" | xargs rm
  • Remove __pycache__ folders: find . -type d -name "__pycache__" | xargs rm -rf
  • Upload to PyPi with twine: python setup.py sdist && twine upload -r pypi dist/*

Support

Please open an issue for support.

Contributing

Please contribute using Github Flow. Create a branch, add commits, and open a pull request.

Project details


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Source Distribution

kfactor-0.1.1.tar.gz (3.9 kB view hashes)

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