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authorGuillaume Le Vaillant <glv@posteo.net>2020-06-07 10:40:48 +0200
committerGuillaume Le Vaillant <glv@posteo.net>2020-06-07 10:46:58 +0200
commit5dc04da4dfa5330cd634f7a6dddc3fcdfe102f8a (patch)
treeef1494bbc9cd4c5275ca20e52eec9e80f632d048 /gnu/packages/machine-learning.scm
parent388a89750ec60a320dd7b6a0b0f174cbed4f50c6 (diff)
gnu: sbcl-cl-random-forest: Remove obsolete fix.
* gnu/packages/machine-learning.scm (sbcl-cl-random-forest)[arguments]: Remove 'add-sb-cltl2-dependency' phase.
Diffstat (limited to 'gnu/packages/machine-learning.scm')
-rw-r--r--gnu/packages/machine-learning.scm15
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