sharlatan pushed a commit to branch master
in repository guix.
commit 16c71b7fe328a159f6e6d13b42ee23b448465905
Author: Antero Mejr <[email protected]>
AuthorDate: Tue Dec 3 18:56:45 2024 -0500
gnu: Add python-scikit-surprise.
* gnu/packages/python-science.scm (python-scikit-surprise): New variable.
Change-Id: I9b5e13f0c985f34bb0bd759e76ebd27221a340a4
Signed-off-by: Sharlatan Hellseher <[email protected]>
---
gnu/packages/python-science.scm | 48 +++++++++++++++++++++++++++++++++++++++++
1 file changed, 48 insertions(+)
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm
index ef6d529ffd..9ee8e1b854 100644
--- a/gnu/packages/python-science.scm
+++ b/gnu/packages/python-science.scm
@@ -600,6 +600,54 @@ implements several methods for sequential model-based
optimization.
@code{skopt} aims to be accessible and easy to use in many contexts.")
(license license:bsd-3)))
+(define-public python-scikit-surprise
+ (package
+ (name "python-scikit-surprise")
+ (version "1.1.4")
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/NicolasHug/Surprise";)
+ (commit (string-append "v" version))))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32 "15ckx2i41vs21sa3yqyj12zr0h4zrcdf3lrwcy2c1cq2bjq7mnvz"))))
+ (build-system pyproject-build-system)
+ (arguments
+ (list
+ #:phases
+ #~(modify-phases %standard-phases
+ (add-before 'check 'set-home
+ (lambda _
+ ;; Change from /homeless-shelter to /tmp for write
+ ;; permission.
+ (setenv "HOME" "/tmp"))))))
+ (native-inputs
+ (list python-cython-3
+ python-pandas
+ python-pytest
+ python-setuptools
+ python-wheel))
+ (propagated-inputs
+ (list python-joblib
+ python-numpy
+ python-scikit-learn))
+ (home-page "https://surpriselib.com/";)
+ (synopsis "Recommender system library for Scikit-learn")
+ (description
+ "This package provides a Python library for building and analyzing
+recommender systems that deal with explicit rating data. It was designed with
+the following purposes in mind:
+@itemize
+@item Provide tools to handle downloaded or user-provided datasets.
+@item Provide ready-to-use prediction algorithms and similarity measures.
+@item Provide a base for creating custom algorithims.
+@item Provide tools to evaluate, analyse and compare algorithm performance.
+@item Provide documentation with precise details regarding library algorithms.
+@end itemize")
+ (license license:bsd-3)))
+
(define-public python-scikit-survival
(let ((revision "1")
;; We need a later commit for support of a more recent sklearn and
