diff options
| author | Sharlatan Hellseher <sharlatanus@gmail.com> | 2025-07-03 17:14:40 +0100 |
|---|---|---|
| committer | Sharlatan Hellseher <sharlatanus@gmail.com> | 2025-07-31 22:13:40 +0100 |
| commit | 120edb6b36cc65cefe0260211a910c769db7780a (patch) | |
| tree | 6d4440849d4d7f1e701538f7d1bf4e4c535651a2 | |
| parent | e8b698242571edc603446dd9aaf443293f5bfa3b (diff) | |
gnu: Add python-nautilus-sampler.
* gnu/packages/statistics.scm (python-nautilus-sampler): New variable.
Change-Id: Ic2881d9d26b02d7dd8ea03523a6a20195dd94727
| -rw-r--r-- | gnu/packages/statistics.scm | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm index 2e03750869..bcbd0f30f7 100644 --- a/gnu/packages/statistics.scm +++ b/gnu/packages/statistics.scm @@ -916,6 +916,51 @@ point (up to 50% contamination) and have a number of nice applications in machine learning, computer vision, and high-dimensional statistics.") (license license:asl2.0))) +(define-public python-nautilus-sampler + (package + (name "python-nautilus-sampler") + (version "1.0.5") + (source + (origin + (method url-fetch) + (uri (pypi-uri "nautilus_sampler" version)) + (sha256 + (base32 "1b73rxg7b5fzpw4ss4py98xdxddkl1dh2dszp2pxv3y179iyniqj")))) + (build-system pyproject-build-system) + (arguments + (list + #:test-flags + #~(list "--durations=0" + ;; One Dask test hangs. + "-k" "not test_pool[dask]") + #:phases + #~(modify-phases %standard-phases + (add-before 'check 'pre-check + (lambda _ (setenv "OMP_NUM_THREADS" "1")))))) + (native-inputs + (list python-dask + python-distributed + python-flit-core + python-h5py + python-pytest + python-pytest-xdist)) + (propagated-inputs + (list python-numpy + python-scikit-learn + python-scipy + python-threadpoolctl)) + (home-page "https://github.com/johannesulf/nautilus") + (synopsis "Neural Network-Boosted Importance Sampling for Bayesian Statistics") + (description + "Nautilus is an pure-Python package for Bayesian posterior and evidence +estimation. It utilizes importance sampling and efficient space exploration +using neural networks. Compared to traditional @acronym{MCMC, Markov chain +Monte Carlo} and Nested Sampling codes, it often needs fewer likelihood calls +and produces much larger posterior samples. Additionally, nautilus is highly +accurate and produces Bayesian evidence estimates with percent precision. It +is widely used in many areas of astrophysical research.") + (license license:expat))) + (define-public python-nestle (package (name "python-nestle") |