;;; 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.
;;;
(inputs
`(("giflib" ,giflib)
("lapack" ,lapack)
- ("libjpeg" ,libjpeg)
+ ("libjpeg" ,libjpeg-turbo)
("libpng" ,libpng)
("libx11" ,libx11)
("openblas" ,openblas)
("eigen" ,eigen-for-tensorflow)
("gemmlowp" ,gemmlowp-for-tensorflow)
("lmdb" ,lmdb)
- ("libjpeg" ,libjpeg)
+ ("libjpeg" ,libjpeg-turbo)
("libpng" ,libpng)
("giflib" ,giflib)
("grpc" ,grpc)
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)))