This is a package for Non-Negative Linear Models (NNLM). It implements fast sequential coordinate descent algorithms for non-negative linear regression and non-negative matrix factorization (NMF). It supports mean square error and Kullback-Leibler divergence loss. Many other features are also implemented, including missing value imputation, domain knowledge integration, designable W and H matrices and multiple forms of regularizations.
|Author||Xihui Lin [aut, cre], Paul C Boutros [aut]|
|Date of publication||2016-01-03 22:50:42|
|Maintainer||Xihui Lin <email@example.com>|
|License||BSD_2_clause + file LICENSE|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.