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| author | Vinicius Monego <monego@posteo.net> | 2020-11-23 12:38:13 -0300 |
|---|---|---|
| committer | Leo Famulari <leo@famulari.name> | 2020-11-25 18:38:00 -0500 |
| commit | 8cd10a76b886cc92ef20562eeebba53f401e3b35 (patch) | |
| tree | 38dd0643e0ccd2ff1524433f8e9e979671219769 /gnu/packages/machine-learning.scm | |
| parent | 402ebffe195890c9826cfa7519034dd12a48ae6a (diff) | |
| download | guix-8cd10a76b886cc92ef20562eeebba53f401e3b35.tar.gz | |
gnu: Add python-pynndescent.
* gnu/packages/machine-learning.scm (python-pynndescent): New variable. Signed-off-by: Leo Famulari <leo@famulari.name>
Diffstat (limited to 'gnu/packages/machine-learning.scm')
| -rw-r--r-- | gnu/packages/machine-learning.scm | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 34b522c99b..2ad148b48e 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -65,6 +65,7 @@ #:use-module (gnu packages gstreamer) #:use-module (gnu packages image) #:use-module (gnu packages linux) + #:use-module (gnu packages llvm) #:use-module (gnu packages maths) #:use-module (gnu packages mpi) #:use-module (gnu packages ocaml) @@ -869,6 +870,32 @@ data analysis.") (base32 "08zbzi8yx5wdlxfx9jap61vg1malc9ajf576w7a0liv6jvvrxlpj"))))))) +(define-public python-pynndescent + (package + (name "python-pynndescent") + (version "0.4.8") + (source + (origin + (method url-fetch) + (uri (pypi-uri "pynndescent" version)) + (sha256 + (base32 "0li1fclif50v6xrq7wh3lif9vv5jpj7xhrb0z6g89wwjnp9b9833")))) + (build-system python-build-system) + (native-inputs + `(("python-nose" ,python-nose))) + (propagated-inputs + `(("python-joblib" ,python-joblib) + ("python-llvmlite" ,python-llvmlite) + ("python-numba" ,python-numba) + ("python-scikit-learn" ,python-scikit-learn) + ("python-scipy" ,python-scipy))) + (home-page "https://github.com/lmcinnes/pynndescent") + (synopsis "Nearest neighbor descent for approximate nearest neighbors") + (description + "PyNNDescent provides a Python implementation of Nearest Neighbor Descent +for k-neighbor-graph construction and approximate nearest neighbor search.") + (license license:bsd-2))) + (define-public python-scikit-rebate (package (name "python-scikit-rebate") |