aframosp / AnniesLasso

The Cannon 2: Compressed sensing edition

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

The Cannon 2: Compressed sensing edition

If we take The Cannon to large numbers of labels (say chemical abundances), the model complexity grows very fast. At the same time, we know that most chemicals affect very few wavelengths in the spectrum; that is, we know that the problem is sparse. Here we use standard methods to discover and enforce sparsity.

Authors

  • Andrew R. Casey (Cambridge)
  • David W. Hogg (NYU) (MPIA) (SCDA)
  • Melissa Ness (MPIA)

License

Copyright 2015, 2016 the authors. The code in this repository is released under the open-source MIT License. See the file LICENSE for more details.

Installation

Build Status Coverage Status Scrutinizer License

pip install https://github.com/andycasey/AnniesLasso/archive/master.zip

Note that the code is actively being developed in the develop branch, which represents the most up-to-date version. When the develop branch is stable and has complete test coverage, it will be merged into master and tagged as the first version release.

About

The Cannon 2: Compressed sensing edition

License:MIT License


Languages

Language:TeX 64.4%Language:Python 35.4%Language:Makefile 0.3%