88/285: gnu: Add python-umap-learn.

[guix-commits]

kkebreau pushed a commit to branch wip-gnome3.34
in repository guix.

commit f4c7b82dc416ea2794c90f8ca5ee0fcfb0334057
Author: Brett Gilio <address@hidden>
Date:   Mon Dec 23 17:28:46 2019 -0600

    gnu: Add python-umap-learn.
    
    * gnu/packages/machine-learning.scm (python-umap-learn): 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 d7df30e..719401d 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -12,6 +12,7 @@
 ;;; Copyright © 2018 Björn Höfling <address@hidden>
 ;;; Copyright © 2019 Nicolas Goaziou <address@hidden>
 ;;; Copyright © 2019 Guillaume Le Vaillant <address@hidden>
+;;; Copyright © 2019 Brett Gilio <address@hidden>
 ;;;
 ;;; This file is part of GNU Guix.
 ;;;
@@ -2088,3 +2089,31 @@ number of collective algorithms useful for machine 
learning applications.
 These include a barrier, broadcast, and allreduce.")
       (home-page "https://github.com/facebookincubator/gloo";)
       (license license:bsd-3))))
+
+(define-public python-umap-learn
+  (package
+    (name "python-umap-learn")
+    (version "0.3.10")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (pypi-uri "umap-learn" version))
+       (sha256
+        (base32
+         "02ada2yy6km6zgk2836kg1c97yrcpalvan34p8c57446finnpki1"))))
+    (build-system python-build-system)
+    (native-inputs
+     `(("python-nose" ,python-nose)))
+    (propagated-inputs
+     `(("python-numba" ,python-numba)
+       ("python-numpy" ,python-numpy)
+       ("python-scikit-learn" ,python-scikit-learn)
+       ("python-scipy" ,python-scipy)))
+    (home-page "https://github.com/lmcinnes/umap";)
+    (synopsis
+     "Uniform Manifold Approximation and Projection")
+    (description
+     "Uniform Manifold Approximation and Projection is a dimension reduction
+technique that can be used for visualisation similarly to t-SNE, but also for
+general non-linear dimension reduction.")
+    (license license:bsd-3)))