Metadata-Version: 2.1
Name: oilmm
Version: 0.1.0
Summary: Implementation of the Instantaneous Orthogonal Linear Mixing Model
Home-page: https://github.com/wesselb/oilmm
Author: Wessel Bruinsma
Author-email: wessel.p.bruinsma@gmail.com
License: MIT
Description: # [OILMM](http://github.com/wesselb/oilmm)
        
        [![CI](https://github.com/wesselb/oilmm/workflows/CI/badge.svg?branch=master)](https://github.com/wesselb/oilmm/actions?query=workflow%3ACI)
        [![Coverage Status](https://coveralls.io/repos/github/wesselb/oilmm/badge.svg?branch=master&service=github)](https://coveralls.io/github/wesselb/oilmm?branch=master)
        [![Latest Docs](https://img.shields.io/badge/docs-latest-blue.svg)](https://wesselb.github.io/oilmm)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        
        
        Implementation of the Orthogonal Instantaneous Linear Mixing Model
        
        ## Installation
        
        See [the instructions here](https://gist.github.com/wesselb/4b44bf87f3789425f96e26c4308d0adc).
        
        Then clone and enter the repo.
        
        ```bash
        git clone https://github.com/wesselb/oilmm
        cd oilmm
        ```
        
        Finally, make a virtual environment and install the requirements.
        
        ```bash
        virtualenv -p python3 venv
        source venv/bin/activate
        pip install -r requirements.txt -e .
        ```
        
        ## Reproduce Experiments
        
        Scripts to rerun individual experiments from the paper can be found in the
        `experiments` folder.
        
        A shell script is provided to rerun all experiments from the paper at once:
        
        ```bash
        sh run_experiments.sh
        ```
        
        The results can then be found in the generated `_experiments` folder.
        
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
