(address . guix-patches@gnu.org)
* gnu/packages/machine-learning.scm (weka): New public variable.
---
gnu/packages/machine-learning.scm | 40 +++++++++++++++++++++++++++++++
1 file changed, 40 insertions(+)
Toggle diff (66 lines)
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 029422677a..98412894b0 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -40,6 +40,7 @@
#:use-module (guix download)
#:use-module (guix svn-download)
#:use-module (guix build-system cmake)
+ #:use-module (guix build-system copy)
#:use-module (guix build-system gnu)
#:use-module (guix build-system ocaml)
#:use-module (guix build-system python)
@@ -65,6 +66,7 @@
#:use-module (gnu packages graphviz)
#:use-module (gnu packages gstreamer)
#:use-module (gnu packages image)
+ #:use-module (gnu packages java)
#:use-module (gnu packages libffi)
#:use-module (gnu packages linux)
#:use-module (gnu packages llvm)
@@ -2934,3 +2936,41 @@ Note: currently this package does not provide GPU support.")
"Hmmlearn is a set of algorithms for unsupervised learning and inference
of Hidden Markov Models.")
(license license:bsd-3)))
+
+(define-public weka
+ (package
+ (name "weka")
+ (version "3.9.5")
+ (source (origin
+ (method url-fetch)
+ (uri "mirror://sourceforge/weka/weka-3-9/3.9.5/weka-3-9-5.zip")
+ (sha256
+ (base32
+ "0scnqk4zysdp9hv7w2rgz3pwkqirszj8pfv94drkhlnyc9cz9kf6"))))
+ (build-system copy-build-system)
+ (native-inputs `(("unzip" ,unzip)))
+ (inputs `(("jre" ,icedtea)))
+ (arguments '(#:install-plan '(("." "share/weka/"))
+ #:phases
+ (modify-phases %standard-phases
+ (add-after 'install 'make-wrapper
+ (lambda* (#:key inputs outputs #:allow-other-keys)
+ (let* ((out (assoc-ref outputs "out"))
+ (wrapper (string-append out "/bin/weka")))
+ (mkdir-p (string-append out "/bin"))
+ (with-output-to-file wrapper
+ (lambda _
+ (display
+ (string-append
+ "#!/bin/sh\n\n"
+ (assoc-ref inputs "jre") "/bin/java -jar "
+ out "/share/weka/weka.jar \"$@\"\n"))))
+ (chmod wrapper #o555))
+ #t)))))
+ (synopsis "Machine learning algorithms for data mining tasks")
+ (description
+ "Weka is a collection of machine learning algorithms in Java.
+It contains tools for data preparation, classification, regression,
+clustering, association rules mining, and visualization.")
+ (home-page "https://www.cs.waikato.ac.nz/ml/weka/")
+ (license license:gpl3+)))
base-commit: ce83883f3d8bf6e6d25091acd018a8236a5754e1
--
2.25.1