parent
c12a73ca26
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98a4da8a13
gnu/packages
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@ -6075,6 +6075,37 @@ table made by the command @code{show256Colors()}. You can also set the colors
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to any arbitrary string. In this case, it is up to you to set valid values.")
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to any arbitrary string. In this case, it is up to you to set valid values.")
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(license license:gpl3+)))
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(license license:gpl3+)))
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(define-public r-nnlm
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(let ((commit "4574bca9456fe2285b668b4c22a908cffbad10a0")
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(revision "1"))
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(package
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(name "r-nnlm")
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(version (git-version "0.4.4" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/linxihui/NNLM")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32 "1qzvav4ch0j1k7jcqzk9cvl8dx79fapmvdzmzzyl8smscybhfgba"))))
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(properties `((upstream-name . "NNLM")))
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(build-system r-build-system)
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(propagated-inputs (list r-rcpp r-rcpparmadillo r-rcppprogress))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/linxihui/NNLM")
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(synopsis "Fast and versatile non-negative matrix factorization")
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(description
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"This is a package for @dfn{Non-Negative Linear Models} (NNLM). It
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implements fast sequential coordinate descent algorithms for non-negative
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linear regression and @dfn{non-negative matrix factorization} (NMF). It
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supports mean square error and Kullback-Leibler divergence loss. Many other
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features are also implemented, including missing value imputation, domain
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knowledge integration, designable W and H matrices and multiple forms of
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regularizations.")
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(license license:bsd-2))))
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(define-public python-rpy2
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(define-public python-rpy2
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(package
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(package
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(name "python-rpy2")
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(name "python-rpy2")
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