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gnu: Add python-umap-learn.

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* gnu/packages/machine-learning.scm (python-umap-learn): New variable.
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Brett Gilio 2019-12-23 17:28:46 -06:00
parent bff3661726
commit 5e42d19781
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gnu/packages/machine-learning.scm
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@ -12,6 +12,7 @@
;;; Copyright © 2018 Björn Höfling <bjoern.hoefling@bjoernhoefling.de>
;;; Copyright © 2019 Nicolas Goaziou <mail@nicolasgoaziou.fr>
;;; Copyright © 2019 Guillaume Le Vaillant <glv@posteo.net>
;;; Copyright © 2019 Brett Gilio <brettg@gnu.org>
;;;
;;; This file is part of GNU Guix.
;;;
@ -2088,3 +2089,31 @@ (define-public gloo
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)))