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branch master updated: gnu: Add python-scikit-rebate.
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guix-commits |
Subject: |
branch master updated: gnu: Add python-scikit-rebate. |
Date: |
Mon, 27 Apr 2020 07:55:07 -0400 |
This is an automated email from the git hooks/post-receive script.
roelj pushed a commit to branch master
in repository guix.
The following commit(s) were added to refs/heads/master by this push:
new 639ae3f gnu: Add python-scikit-rebate.
639ae3f is described below
commit 639ae3f20bea5ccd7f4a4df7a828569639220e79
Author: Roel Janssen <address@hidden>
AuthorDate: Mon Apr 27 13:54:43 2020 +0200
gnu: Add python-scikit-rebate.
* gnu/packages/machine-learning.scm (python-scikit-rebate): New variable.
---
gnu/packages/machine-learning.scm | 29 +++++++++++++++++++++++++++++
1 file changed, 29 insertions(+)
diff --git a/gnu/packages/machine-learning.scm
b/gnu/packages/machine-learning.scm
index 9a88b53..223d03e 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -867,6 +867,35 @@ data analysis.")
(base32
"08zbzi8yx5wdlxfx9jap61vg1malc9ajf576w7a0liv6jvvrxlpj")))))))
+(define-public python-scikit-rebate
+ (package
+ (name "python-scikit-rebate")
+ (version "0.6")
+ (source (origin
+ (method url-fetch)
+ (uri (pypi-uri "skrebate" version))
+ (sha256
+ (base32
+ "1h7qs9gjxpzqabzhb8rmpv3jpmi5iq41kqdibg48299h94iikiw7"))))
+ (build-system python-build-system)
+ ;; Pandas is only needed to run the tests.
+ (native-inputs
+ `(("python-pandas" ,python-pandas)))
+ (propagated-inputs
+ `(("python-numpy" ,python-numpy)
+ ("python-scipy" ,python-scipy)
+ ("python-scikit-learn" ,python-scikit-learn)
+ ("python-joblib" ,python-joblib)))
+ (home-page "https://epistasislab.github.io/scikit-rebate/")
+ (synopsis "Relief-based feature selection algorithms for Python")
+ (description "Scikit-rebate is a scikit-learn-compatible Python
+implementation of ReBATE, a suite of Relief-based feature selection algorithms
+for Machine Learning. These algorithms excel at identifying features that are
+predictive of the outcome in supervised learning problems, and are especially
+good at identifying feature interactions that are normally overlooked by
+standard feature selection algorithms.")
+ (license license:expat)))
+
(define-public python-autograd
(let* ((commit "442205dfefe407beffb33550846434baa90c4de7")
(revision "0")
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