Median Methods

Contains implementations of median thresholded randomized Kaczmarz and l1 minimization

Installation

To install Median Methods, run this command in your terminal:

    $ pip install -U median-methods

This is the preferred method to install Median Methods, as it will always install the most recent stable release.

If you don't have pip installed, these installation instructions can guide you through the process.

>>> from median_methods import Example
>>> a = Example()
>>> a.get_value()
10

If you use our work in an academic setting, please cite our paper:

See CONTRIBUTING.md for information related to developing the code.

master is for the most up-to-date development, very rarely should you directly commit to this branch. Your day-to-day work should exist on branches separate from master. It is recommended to commit to development branches and make pull requests to master.4. It is recommended to use "Squash and Merge" commits when committing PR's. It makes each set of changes to master atomic and as a side effect naturally encourages small well defined PR's.

Create an initial release to test.PyPI and PyPI.
- Follow This PyPA tutorial, starting from the "Generating distribution archives" section.
Create a blank github repository (without a README or .gitignore) and push the code to it.
Delete these setup instructions from README.md when you are finished with them.