Metadata-Version: 2.1
Name: illmat
Version: 0.1.1
Summary: Generate a DxD ill-conditioned correlation matrix with random coefficients
Home-page: http://github.com/kmedian/illmat
Author: Ulf Hamster
Author-email: 554c46@gmail.com
License: MIT
Description: [![Build Status](https://travis-ci.org/kmedian/illmat.svg?branch=master)](https://travis-ci.org/kmedian/illmat)
        [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/kmedian/illmat/master?urlpath=lab)
        
        # illmat
        Generate a `<D x D>` ill-conditioned correlation matrix with random coefficients
        
        
        
        ## Installation
        The `illmat` [git repo](http://github.com/kmedian/illmat) is available as [PyPi package](https://pypi.org/project/illmat)
        
        ```
        pip install illmat
        ```
        
        
        ## Usage
        Check the [example](https://github.com/kmedian/illmat/blob/master/examples/ill-conditioned%20correlation%20matrix.ipynb) 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](https://github.com/kmedian/illmat/issues/new) for support.
        
        
        ## Contributing
        Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/illmat/compare/).
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
