GNU bug report logs - #78517
[PATCH 00/31] Astro update 2025/05.

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Message #14 received at 78517 <at> debbugs.gnu.org (full text, mbox):

From: Sharlatan Hellseher <sharlatanus <at> gmail.com>
To: 78517 <at> debbugs.gnu.org
Cc: Sharlatan Hellseher <sharlatanus <at> gmail.com>
Subject: [PATCH 03/31] gnu: Add python-zeus-mcmc.
Date: Tue, 20 May 2025 23:24:25 +0100

* gnu/packages/statistics.scm (python-zeus-mcmc): New variable.

Change-Id: Ibe7723ba4bbb301ef828744576508f0b0400f73f
---
 gnu/packages/statistics.scm | 41 +++++++++++++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)

diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm
index 4b4d5664dc..34b209f872 100644
--- a/gnu/packages/statistics.scm
+++ b/gnu/packages/statistics.scm
@@ -1328,6 +1328,47 @@ (define-public python-resample
 @end itemize")
     (license license:bsd-3)))
 
+(define-public python-zeus-mcmc
+  (package
+    (name "python-zeus-mcmc")
+    (version "2.5.4")
+    (source
+     (origin
+       (method git-fetch)        ; no tests in PyPI
+       (uri (git-reference
+             (url "https://github.com/minaskar/zeus")
+             (commit version)))
+       (file-name (git-file-name name version))
+       (sha256
+        (base32 "0sci442fx2bkkj8169hwnx6psl7m2r8y1cicn1xjxxgqaby5j8pi"))))
+    (build-system pyproject-build-system)
+    (native-inputs
+     (list python-pytest
+           python-setuptools
+           python-wheel))
+    (propagated-inputs
+     (list python-matplotlib
+           python-numpy
+           python-scikit-learn
+           python-scipy
+           python-seaborn
+           python-setuptools
+           python-tqdm))
+    (home-page "https://github.com/minaskar/zeus")
+    (synopsis "Deep learning energy measurement and optimization framework")
+    (description
+     "This package provides an implementation of the Ensemble Slice Sampling method.
+Features:
+@itemize
+@item fast & Robust Bayesian Inference
+@item efficient Markov Chain Monte Carlo (MCMC)
+@item black-box inference, no hand-tuning
+@item excellent performance in terms of autocorrelation time and convergence rate
+@item scale to multiple CPUs without any extra effort
+@item automated Convergence diagnostics
+@end itemize")
+    (license license:asl2.0)))
+
 (define-public r-rversions
   (package
     (name "r-rversions")
-- 
2.49.0

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