gnu: Replace uses of 'libjpeg' with 'libjpeg-turbo'.

[jackhill/guix/guix.git] / gnu / packages / machine-learning.scm

diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index d7df30e..d92a74e 100644 (file)
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -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.
 ;;;
@@ -777,7 +778,7 @@ than 8 bits, and at the end only some significant 8 bits are kept.")
     (inputs
      `(("giflib" ,giflib)
        ("lapack" ,lapack)
-       ("libjpeg" ,libjpeg)
+       ("libjpeg" ,libjpeg-turbo)
        ("libpng" ,libpng)
        ("libx11" ,libx11)
        ("openblas" ,openblas)
@@ -1745,7 +1746,7 @@ INSTALL_RPATH " (assoc-ref outputs "out") "/lib)\n")))
        ("eigen" ,eigen-for-tensorflow)
        ("gemmlowp" ,gemmlowp-for-tensorflow)
        ("lmdb" ,lmdb)
-       ("libjpeg" ,libjpeg)
+       ("libjpeg" ,libjpeg-turbo)
        ("libpng" ,libpng)
        ("giflib" ,giflib)
        ("grpc" ,grpc)
@@ -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)))