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-rw-r--r--gnu/packages/machine-learning.scm56
1 files changed, 36 insertions, 20 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 7bad833b38..30f005a331 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -26,6 +26,7 @@
#:use-module (guix svn-download)
#:use-module (guix build-system cmake)
#:use-module (guix build-system gnu)
+ #:use-module (guix build-system ocaml)
#:use-module (guix build-system r)
#:use-module (gnu packages)
#:use-module (gnu packages autotools)
@@ -35,6 +36,7 @@
#:use-module (gnu packages gcc)
#:use-module (gnu packages image)
#:use-module (gnu packages maths)
+ #:use-module (gnu packages ocaml)
#:use-module (gnu packages perl)
#:use-module (gnu packages pkg-config)
#:use-module (gnu packages python)
@@ -239,6 +241,39 @@ networks) based on simulation of (stochastic) flow in graphs.")
;; http://listserver.ebi.ac.uk/pipermail/mcl-users/2016/000376.html
(license license:gpl3)))
+(define-public ocaml-mcl
+ (package
+ (name "ocaml-mcl")
+ (version "12-068oasis4")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (string-append
+ "https://github.com/fhcrc/mcl/archive/"
+ version ".tar.gz"))
+ (file-name (string-append name "-" version ".tar.gz"))
+ (sha256
+ (base32
+ "1l5jbhwjpsj38x8b9698hfpkv75h8hn3kj0gihjhn8ym2cwwv110"))))
+ (build-system ocaml-build-system)
+ (arguments
+ `(#:phases
+ (modify-phases %standard-phases
+ (add-before 'configure 'patch-paths
+ (lambda _
+ (substitute* "configure"
+ (("SHELL = /bin/sh") (string-append "SHELL = "(which "sh"))))
+ (substitute* "setup.ml"
+ (("LDFLAGS=-fPIC")
+ (string-append "LDFLAGS=-fPIC\"; \"SHELL=" (which "sh"))))
+ #t)))))
+ (home-page "https://github.com/fhcrc/mcl")
+ (synopsis "OCaml wrappers around MCL")
+ (description
+ "This package provides OCaml bindings for the MCL graph clustering
+algorithm.")
+ (license license:gpl3)))
+
(define-public randomjungle
(package
(name "randomjungle")
@@ -402,7 +437,7 @@ sample proximities between pairs of cases.")
(inputs
`(("python" ,python)
("numpy" ,python-numpy)
- ("r" ,r)
+ ("r-minimal" ,r-minimal)
("octave" ,octave)
("swig" ,swig)
("hdf5" ,hdf5)
@@ -460,25 +495,6 @@ adaptive sparsity and the Wong algorithm for adaptively sparse gaussian
geometric models.")
(license license:lgpl3+)))
-(define-public r-nnet
- (package
- (name "r-nnet")
- (version "7.3-12")
- (source
- (origin
- (method url-fetch)
- (uri (cran-uri "nnet" version))
- (sha256
- (base32
- "17amqnw9dpap2w8ivx53hxha2xrm0drwfnj32li0xk41hlz548r7"))))
- (build-system r-build-system)
- (home-page "http://www.stats.ox.ac.uk/pub/MASS4/")
- (synopsis "Feed-forward neural networks and multinomial log-linear models")
- (description
- "This package provides functions for feed-forward neural networks with a
-single hidden layer, and for multinomial log-linear models.")
- (license (list license:gpl2+ license:gpl3+))))
-
(define-public r-kernlab
(package
(name "r-kernlab")