diff options
| -rw-r--r-- | gnu/packages/cran.scm | 22 | ||||
| -rw-r--r-- | gnu/packages/machine-learning.scm | 22 |
2 files changed, 22 insertions, 22 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index ba86457808..de2337e11a 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -12754,3 +12754,25 @@ networks, module identification and functions for relating both variables and modules to sample traits. It also includes a number of utility functions for data manipulation and visualization.") (license license:gpl2+))) + +(define-public r-kernlab + (package + (name "r-kernlab") + (version "0.9-27") + (source + (origin + (method url-fetch) + (uri (cran-uri "kernlab" version)) + (sha256 + (base32 + "1m0xqf6gyvwayz7w3c83y32ayvnlz0jicj8ijk808zq9sh7dbbgn")))) + (build-system r-build-system) + (home-page "https://cran.r-project.org/web/packages/kernlab") + (synopsis "Kernel-based machine learning tools") + (description + "This package provides kernel-based machine learning methods for +classification, regression, clustering, novelty detection, quantile regression +and dimensionality reduction. Among other methods @code{kernlab} includes +Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes +and a QP solver.") + (license license:gpl2))) diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 28bb44a3ca..62b3507b67 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -626,28 +626,6 @@ adaptive sparsity and the Wong algorithm for adaptively sparse gaussian geometric models.") (license license:lgpl3+))) -(define-public r-kernlab - (package - (name "r-kernlab") - (version "0.9-27") - (source - (origin - (method url-fetch) - (uri (cran-uri "kernlab" version)) - (sha256 - (base32 - "1m0xqf6gyvwayz7w3c83y32ayvnlz0jicj8ijk808zq9sh7dbbgn")))) - (build-system r-build-system) - (home-page "https://cran.r-project.org/web/packages/kernlab") - (synopsis "Kernel-based machine learning tools") - (description - "This package provides kernel-based machine learning methods for -classification, regression, clustering, novelty detection, quantile regression -and dimensionality reduction. Among other methods @code{kernlab} includes -Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes -and a QP solver.") - (license license:gpl2))) - (define-public dlib (package (name "dlib") |