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)))
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")