From f1765b57b8b4909fa99fab0cafd281ab31f78c94 Mon Sep 17 00:00:00 2001
From: Ricardo Wurmus <ricardo.wurmus@mdc-berlin.de>
Date: Wed, 19 Jun 2019 14:26:45 +0200
Subject: gnu: Add python-keras.

* gnu/packages/machine-learning.scm (python-keras): New variable.
---
 gnu/packages/machine-learning.scm | 75 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 75 insertions(+)

(limited to 'gnu')

diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index aebbd1ac5d..2dc7dc81ef 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -54,6 +54,7 @@ (define-module (gnu packages machine-learning)
   #:use-module (gnu packages dejagnu)
   #:use-module (gnu packages gcc)
   #:use-module (gnu packages glib)
+  #:use-module (gnu packages graphviz)
   #:use-module (gnu packages gstreamer)
   #:use-module (gnu packages image)
   #:use-module (gnu packages linux)
@@ -68,6 +69,7 @@ (define-module (gnu packages machine-learning)
   #:use-module (gnu packages python-web)
   #:use-module (gnu packages python-xyz)
   #:use-module (gnu packages serialization)
+  #:use-module (gnu packages sphinx)
   #:use-module (gnu packages statistics)
   #:use-module (gnu packages sqlite)
   #:use-module (gnu packages swig)
@@ -1840,3 +1842,76 @@ (define-public python-keras-preprocessing
 module of the Keras deep learning library.  It provides utilities for working
 with image data, text data, and sequence data.")
     (license license:expat)))
+
+(define-public python-keras
+  (package
+    (name "python-keras")
+    (version "2.2.4")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (pypi-uri "Keras" version))
+       (sha256
+        (base32
+         "1j8bsqzh49vjdxy6l1k4iwax5vpjzniynyd041xjavdzvfii1dlh"))))
+    (build-system python-build-system)
+    (arguments
+     `(#:phases
+       (modify-phases %standard-phases
+         (add-after 'unpack 'remove-tests-for-unavailable-features
+           (lambda _
+             (delete-file "keras/backend/theano_backend.py")
+             (delete-file "keras/backend/cntk_backend.py")
+             (delete-file "tests/keras/backend/backend_test.py")
+
+             ;; FIXME: This doesn't work because Tensorflow is missing the
+             ;; coder ops library.
+             (delete-file "tests/keras/test_callbacks.py")
+             #t))
+         (replace 'check
+           (lambda _
+             ;; These tests attempt to download data files from the internet.
+             (delete-file "tests/integration_tests/test_datasets.py")
+             (delete-file "tests/integration_tests/imagenet_utils_test.py")
+
+             (setenv "PYTHONPATH"
+                     (string-append (getcwd) "/build/lib:"
+                                    (getenv "PYTHONPATH")))
+             (invoke "py.test" "-v"
+                     "-p" "no:cacheprovider"
+                     "--ignore" "keras/utils"))))))
+    (propagated-inputs
+     `(("python-h5py" ,python-h5py)
+       ("python-keras-applications" ,python-keras-applications)
+       ("python-keras-preprocessing" ,python-keras-preprocessing)
+       ("python-numpy" ,python-numpy)
+       ("python-pydot" ,python-pydot)
+       ("python-pyyaml" ,python-pyyaml)
+       ("python-scipy" ,python-scipy)
+       ("python-six" ,python-six)
+       ("tensorflow" ,tensorflow)
+       ("graphviz" ,graphviz)))
+    (native-inputs
+     `(("python-pandas" ,python-pandas)
+       ("python-pytest" ,python-pytest)
+       ("python-pytest-cov" ,python-pytest-cov)
+       ("python-pytest-pep8" ,python-pytest-pep8)
+       ("python-pytest-timeout" ,python-pytest-timeout)
+       ("python-pytest-xdist" ,python-pytest-xdist)
+       ("python-sphinx" ,python-sphinx)
+       ("python-requests" ,python-requests)))
+    (home-page "https://github.com/keras-team/keras")
+    (synopsis "High-level deep learning framework")
+    (description "Keras is a high-level neural networks API, written in Python
+and capable of running on top of TensorFlow.  It was developed with a focus on
+enabling fast experimentation.  Use Keras if you need a deep learning library
+that:
+
+@itemize
+@item Allows for easy and fast prototyping (through user friendliness,
+  modularity, and extensibility).
+@item Supports both convolutional networks and recurrent networks, as well as
+  combinations of the two.
+@item Runs seamlessly on CPU and GPU.
+@end itemize\n")
+    (license license:expat)))
-- 
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