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authorVinicius Monego <monego@posteo.net>2020-11-23 12:38:13 -0300
committerLeo Famulari <leo@famulari.name>2020-11-25 18:38:00 -0500
commit8cd10a76b886cc92ef20562eeebba53f401e3b35 (patch)
tree38dd0643e0ccd2ff1524433f8e9e979671219769 /gnu
parent402ebffe195890c9826cfa7519034dd12a48ae6a (diff)
downloadguix-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')
-rw-r--r--gnu/packages/machine-learning.scm27
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")