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| author | Marius Bakke <marius@gnu.org> | 2020-06-08 19:05:56 +0200 |
|---|---|---|
| committer | Marius Bakke <marius@gnu.org> | 2020-06-08 19:05:56 +0200 |
| commit | dd2d3ed2d30b5d705f9ed8695ab3171c29469f76 (patch) | |
| tree | 22e909cfe9de99fab471621a907b9f87045bb3bd /gnu/packages/machine-learning.scm | |
| parent | 24b61fb8ea8a9e8c5320d1db1447f9b62ad04b3d (diff) | |
| parent | 1fd2c00efbe701a81d86c254d5f4f285e63c1cde (diff) | |
| download | guix-dd2d3ed2d30b5d705f9ed8695ab3171c29469f76.tar guix-dd2d3ed2d30b5d705f9ed8695ab3171c29469f76.tar.gz | |
Merge branch 'master' into staging
Diffstat (limited to 'gnu/packages/machine-learning.scm')
| -rw-r--r-- | gnu/packages/machine-learning.scm | 15 |
1 files changed, 2 insertions, 13 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index e26768267b..4be165f390 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -11,7 +11,7 @@ ;;; Copyright © 2018 Julien Lepiller <julien@lepiller.eu> ;;; Copyright © 2018 Björn Höfling <bjoern.hoefling@bjoernhoefling.de> ;;; Copyright © 2019 Nicolas Goaziou <mail@nicolasgoaziou.fr> -;;; Copyright © 2019 Guillaume Le Vaillant <glv@posteo.net> +;;; Copyright © 2019, 2020 Guillaume Le Vaillant <glv@posteo.net> ;;; Copyright © 2019 Brett Gilio <brettg@gnu.org> ;;; Copyright © 2020 Konrad Hinsen <konrad.hinsen@fastmail.net> ;;; Copyright © 2020 Edouard Klein <edk@beaver-labs.com> @@ -2067,18 +2067,7 @@ online linear classification written in Common Lisp.") ("cl-online-learning" ,sbcl-cl-online-learning) ("lparallel" ,sbcl-lparallel))) (arguments - `(;; The tests download data from the Internet - #:tests? #f - #:phases - (modify-phases %standard-phases - (add-after 'unpack 'add-sb-cltl2-dependency - (lambda _ - ;; sb-cltl2 is required by lparallel when using sbcl, but it is - ;; not loaded automatically. - (substitute* "cl-random-forest.asd" - (("\\(in-package :cl-user\\)") - "(in-package :cl-user) #+sbcl (require :sb-cltl2)")) - #t))))) + `(#:tests? #f)) ; The tests download data from the Internet (synopsis "Random Forest and Global Refinement for Common Lisp") (description "CL-random-forest is an implementation of Random Forest for multiclass |