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gnu: Add r-nnlm.

* gnu/packages/statistics.scm (r-nnlm): New variable.
master
Ricardo Wurmus 2022-02-08 23:54:59 +01:00
parent c12a73ca26
commit 98a4da8a13
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1 changed files with 31 additions and 0 deletions
gnu/packages

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@ -6075,6 +6075,37 @@ table made by the command @code{show256Colors()}. You can also set the colors
to any arbitrary string. In this case, it is up to you to set valid values.") to any arbitrary string. In this case, it is up to you to set valid values.")
(license license:gpl3+))) (license license:gpl3+)))
(define-public r-nnlm
(let ((commit "4574bca9456fe2285b668b4c22a908cffbad10a0")
(revision "1"))
(package
(name "r-nnlm")
(version (git-version "0.4.4" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/linxihui/NNLM")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "1qzvav4ch0j1k7jcqzk9cvl8dx79fapmvdzmzzyl8smscybhfgba"))))
(properties `((upstream-name . "NNLM")))
(build-system r-build-system)
(propagated-inputs (list r-rcpp r-rcpparmadillo r-rcppprogress))
(native-inputs (list r-knitr))
(home-page "https://github.com/linxihui/NNLM")
(synopsis "Fast and versatile non-negative matrix factorization")
(description
"This is a package for @dfn{Non-Negative Linear Models} (NNLM). It
implements fast sequential coordinate descent algorithms for non-negative
linear regression and @dfn{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.")
(license license:bsd-2))))
(define-public python-rpy2 (define-public python-rpy2
(package (package
(name "python-rpy2") (name "python-rpy2")