ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:1708.026] XDGMM: eXtreme Deconvolution Gaussian Mixture Modeling

XDGMM uses Gaussian mixtures to do density estimation of noisy, heterogenous, and incomplete data using extreme deconvolution (XD) algorithms which is compatible with the scikit-learn machine learning methods. It implements both the astroML and Bovy et al. (2011) algorithms, and extends the BaseEstimator class from scikit-learn so that cross-validation methods work. It allows the user to produce a conditioned model if values of some parameters are known.

Code site:
https://github.com/tholoien/XDGMM
Appears in:
https://ui.adsabs.harvard.edu/#abs/2017AJ....153..249H
Bibcode:
2017ascl.soft08026H

ascl:1708.026
Add this shield to your page
Copy the above HTML to add this shield to your code's website.
Views: 100