diff options
author | Björn Höfling <bjoern.hoefling@bjoernhoefling.de> | 2018-11-27 07:41:12 +0100 |
---|---|---|
committer | Björn Höfling <bjoern.hoefling@bjoernhoefling.de> | 2018-11-27 09:42:33 +0100 |
commit | df4c8434d49dba3fd9b96b97b7019cf456c7e548 (patch) | |
tree | 3c5555d7630468a7fa4957f578cb69be76b11f44 /gnu/packages | |
parent | 56dc27d62f65d18a434b97c891171ff0872e4ba1 (diff) | |
download | guix-df4c8434d49dba3fd9b96b97b7019cf456c7e548.tar.gz |
gnu: randomjungle: Update homepage and sourc.
* gnu/packages/machine-learning.scm (randomjungle)[source]: Update URL. [homepage]: Update URL.
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/machine-learning.scm | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 09c525ff20..a7df9dce06 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -9,6 +9,7 @@ ;;; Copyright © 2018 Ben Woodcroft <donttrustben@gmail.com> ;;; Copyright © 2018 Fis Trivial <ybbs.daans@hotmail.com> ;;; Copyright © 2018 Julien Lepiller <julien@lepiller.eu> +;;; Copyright © 2018 Björn Höfling <bjoern.hoefling@bjoernhoefling.de> ;;; ;;; This file is part of GNU Guix. ;;; @@ -331,8 +332,8 @@ algorithm.") (origin (method url-fetch) (uri (string-append - "http://www.imbs-luebeck.de/imbs/sites/default/files/u59/" - "randomjungle-" version ".tar_.gz")) + "https://www.imbs.uni-luebeck.de/fileadmin/files/Software" + "/randomjungle/randomjungle-" version ".tar_.gz")) (sha256 (base32 "12c8rf30cla71swx2mf4ww9mfd8jbdw5lnxd7dxhyw1ygrvg6y4w")))) @@ -359,7 +360,7 @@ algorithm.") ;; Non-portable assembly instructions are used so building fails on ;; platforms other than x86_64 or i686. (supported-systems '("x86_64-linux" "i686-linux")) - (home-page "http://www.imbs-luebeck.de/imbs/de/node/227/") + (home-page "https://www.imbs.uni-luebeck.de/forschung/software/details.html#c224") (synopsis "Implementation of the Random Forests machine learning method") (description "Random Jungle is an implementation of Random Forests. It is supposed to |