1 ;;; GNU Guix --- Functional package management for GNU
2 ;;; Copyright © 2015, 2016, 2017, 2018, 2019, 2020, 2021 Ricardo Wurmus <rekado@elephly.net>
3 ;;; Copyright © 2016, 2020, 2021 Efraim Flashner <efraim@flashner.co.il>
4 ;;; Copyright © 2016, 2017, 2020 Marius Bakke <mbakke@fastmail.com>
5 ;;; Copyright © 2016 Hartmut Goebel <h.goebel@crazy-compilers.com>
6 ;;; Copyright © 2018, 2019, 2020 Tobias Geerinckx-Rice <me@tobias.gr>
7 ;;; Copyright © 2018 Kei Kebreau <kkebreau@posteo.net>
8 ;;; Copyright © 2018 Mark Meyer <mark@ofosos.org>
9 ;;; Copyright © 2018 Ben Woodcroft <donttrustben@gmail.com>
10 ;;; Copyright © 2018 Fis Trivial <ybbs.daans@hotmail.com>
11 ;;; Copyright © 2018 Julien Lepiller <julien@lepiller.eu>
12 ;;; Copyright © 2018 Björn Höfling <bjoern.hoefling@bjoernhoefling.de>
13 ;;; Copyright © 2019 Nicolas Goaziou <mail@nicolasgoaziou.fr>
14 ;;; Copyright © 2019, 2020 Guillaume Le Vaillant <glv@posteo.net>
15 ;;; Copyright © 2019 Brett Gilio <brettg@gnu.org>
16 ;;; Copyright © 2020 Konrad Hinsen <konrad.hinsen@fastmail.net>
17 ;;; Copyright © 2020 Edouard Klein <edk@beaver-labs.com>
18 ;;; Copyright © 2020, 2021 Vinicius Monego <monego@posteo.net>
19 ;;; Copyright © 2020 Maxim Cournoyer <maxim.cournoyer@gmail.com>
21 ;;; This file is part of GNU Guix.
23 ;;; GNU Guix is free software; you can redistribute it and/or modify it
24 ;;; under the terms of the GNU General Public License as published by
25 ;;; the Free Software Foundation; either version 3 of the License, or (at
26 ;;; your option) any later version.
28 ;;; GNU Guix is distributed in the hope that it will be useful, but
29 ;;; WITHOUT ANY WARRANTY; without even the implied warranty of
30 ;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
31 ;;; GNU General Public License for more details.
33 ;;; You should have received a copy of the GNU General Public License
34 ;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
36 (define-module (gnu packages machine-learning)
37 #:use-module ((guix licenses) #:prefix license:)
38 #:use-module (guix packages)
39 #:use-module (guix utils)
40 #:use-module (guix download)
41 #:use-module (guix svn-download)
42 #:use-module (guix build-system cmake)
43 #:use-module (guix build-system gnu)
44 #:use-module (guix build-system ocaml)
45 #:use-module (guix build-system python)
46 #:use-module (guix build-system r)
47 #:use-module (guix git-download)
48 #:use-module (gnu packages)
49 #:use-module (gnu packages adns)
50 #:use-module (gnu packages algebra)
51 #:use-module (gnu packages audio)
52 #:use-module (gnu packages autotools)
53 #:use-module (gnu packages base)
54 #:use-module (gnu packages bash)
55 #:use-module (gnu packages boost)
56 #:use-module (gnu packages check)
57 #:use-module (gnu packages compression)
58 #:use-module (gnu packages cmake)
59 #:use-module (gnu packages cran)
60 #:use-module (gnu packages databases)
61 #:use-module (gnu packages dejagnu)
62 #:use-module (gnu packages gcc)
63 #:use-module (gnu packages glib)
64 #:use-module (gnu packages graphviz)
65 #:use-module (gnu packages gstreamer)
66 #:use-module (gnu packages image)
67 #:use-module (gnu packages linux)
68 #:use-module (gnu packages llvm)
69 #:use-module (gnu packages maths)
70 #:use-module (gnu packages mpi)
71 #:use-module (gnu packages ocaml)
72 #:use-module (gnu packages onc-rpc)
73 #:use-module (gnu packages perl)
74 #:use-module (gnu packages pkg-config)
75 #:use-module (gnu packages protobuf)
76 #:use-module (gnu packages python)
77 #:use-module (gnu packages python-build)
78 #:use-module (gnu packages python-check)
79 #:use-module (gnu packages python-science)
80 #:use-module (gnu packages python-web)
81 #:use-module (gnu packages python-xyz)
82 #:use-module (gnu packages rpc)
83 #:use-module (gnu packages serialization)
84 #:use-module (gnu packages sphinx)
85 #:use-module (gnu packages statistics)
86 #:use-module (gnu packages sqlite)
87 #:use-module (gnu packages swig)
88 #:use-module (gnu packages web)
89 #:use-module (gnu packages xml)
90 #:use-module (gnu packages xorg)
91 #:use-module (ice-9 match))
94 ;; The last release is >100 commits behind, so we package from git.
95 (let ((commit "d71d54788bee56ba4cf7522801270152da5209d7"))
98 (version (string-append "2.2.0-1." (string-take commit 8)))
102 (url "https://github.com/libfann/fann")
104 (file-name (string-append name "-" version "-checkout"))
107 "0ibwpfrjs6q2lijs8slxjgzb2llcl6rk3v2ski4r6215g5jjhg3x"))))
108 (build-system cmake-build-system)
111 (modify-phases %standard-phases
113 (lambda* (#:key outputs #:allow-other-keys)
114 (let* ((out (assoc-ref outputs "out")))
115 (with-directory-excursion (string-append (getcwd) "/tests")
116 (invoke "./fann_tests"))))))))
117 (home-page "http://leenissen.dk/fann/wp/")
118 (synopsis "Fast Artificial Neural Network")
120 "FANN is a neural network library, which implements multilayer
121 artificial neural networks in C with support for both fully connected and
122 sparsely connected networks.")
123 (license license:lgpl2.1))))
125 (define-public libsvm
132 (uri (string-append "https://www.csie.ntu.edu.tw/~cjlin/libsvm/"
133 name "-" version ".tar.gz"))
135 (base32 "0jpaq0rr92x38p4nk3gjan79ip67m6p80anb28z1d8601miysyi5"))))
136 (build-system gnu-build-system)
138 `(#:tests? #f ; no "check" target
139 #:phases (modify-phases %standard-phases
142 'install ; no ‘install’ target
143 (lambda* (#:key outputs #:allow-other-keys)
144 (let* ((out (assoc-ref outputs "out"))
145 (bin (string-append out "/bin/")))
147 (for-each (lambda (file)
148 (copy-file file (string-append bin file)))
153 (home-page "https://www.csie.ntu.edu.tw/~cjlin/libsvm/")
154 (synopsis "Library for Support Vector Machines")
156 "LIBSVM is a machine learning library for support vector
157 classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and
158 distribution estimation (one-class SVM). It supports multi-class
160 (license license:bsd-3)))
162 (define-public python-libsvm
163 (package (inherit libsvm)
164 (name "python-libsvm")
165 (build-system gnu-build-system)
167 `(#:tests? #f ; no "check" target
168 #:make-flags '("-C" "python")
170 (modify-phases %standard-phases
173 'install ; no ‘install’ target
174 (lambda* (#:key inputs outputs #:allow-other-keys)
175 (let ((site (string-append (assoc-ref outputs "out")
179 (assoc-ref inputs "python") 5) 3)
181 (substitute* "python/svm.py"
182 (("../libsvm.so.2") "libsvm.so.2"))
184 (for-each (lambda (file)
185 (copy-file file (string-append site (basename file))))
186 (find-files "python" "\\.py"))
187 (copy-file "libsvm.so.2"
188 (string-append site "libsvm.so.2")))
191 `(("python" ,python)))
192 (synopsis "Python bindings of libSVM")))
195 ;; The latest release candidate is several years and a couple of fixes have
196 ;; been published since. This is why we download the sources from the SVN
198 (let ((svn-revision 2341))
201 (version (string-append "0.9-rc3-0." (number->string svn-revision)))
205 (url "http://svn.code.sf.net/p/ghmm/code/trunk")
206 (revision svn-revision)))
207 (file-name (string-append name "-" version "-checkout"))
210 "0qbq1rqp94l530f043qzp8aw5lj7dng9wq0miffd7spd1ff638wq"))))
211 (build-system gnu-build-system)
213 `(#:imported-modules (,@%gnu-build-system-modules
214 (guix build python-build-system))
215 #:modules ((guix build python-build-system)
216 ,@%gnu-build-system-modules)
218 (modify-phases %standard-phases
219 (add-after 'unpack 'enter-dir
220 (lambda _ (chdir "ghmm") #t))
222 (add-after 'install 'check
223 (assoc-ref %standard-phases 'check))
224 (add-before 'check 'fix-PYTHONPATH
225 (lambda* (#:key inputs outputs #:allow-other-keys)
226 (let ((python-version (python-version
227 (assoc-ref inputs "python"))))
229 (string-append (getenv "PYTHONPATH")
230 ":" (assoc-ref outputs "out")
231 "/lib/python" python-version
234 (add-after 'enter-dir 'fix-runpath
235 (lambda* (#:key outputs #:allow-other-keys)
236 (substitute* "ghmmwrapper/setup.py"
237 (("^(.*)extra_compile_args = \\[" line indent)
238 (string-append indent
239 "extra_link_args = [\"-Wl,-rpath="
240 (assoc-ref outputs "out") "/lib\"],\n"
243 (assoc-ref outputs "out")
246 (add-after 'enter-dir 'disable-broken-tests
248 (substitute* "tests/Makefile.am"
249 ;; GHMM_SILENT_TESTS is assumed to be a command.
250 (("TESTS_ENVIRONMENT.*") "")
251 ;; Do not build broken tests.
255 (("label_higher_order_test.*$")
256 "label_higher_order_test\n"))
258 ;; These Python unittests are broken as there is no gato.
259 ;; See https://sourceforge.net/p/ghmm/support-requests/3/
260 (substitute* "ghmmwrapper/ghmmunittests.py"
261 (("^(.*)def (testNewXML|testMultipleTransitionClasses|testNewXML)"
263 (string-append indent
264 "@unittest.skip(\"Disabled by Guix\")\n"
268 `(("python" ,python-2) ; only Python 2 is supported
269 ("libxml2" ,libxml2)))
271 `(("pkg-config" ,pkg-config)
274 ("autoconf" ,autoconf)
275 ("automake" ,automake)
276 ("libtool" ,libtool)))
277 (home-page "http://ghmm.org")
278 (synopsis "Hidden Markov Model library")
280 "The General Hidden Markov Model library (GHMM) is a C library with
281 additional Python bindings implementing a wide range of types of @dfn{Hidden
282 Markov Models} (HMM) and algorithms: discrete, continuous emissions, basic
283 training, HMM clustering, HMM mixtures.")
284 (license license:lgpl2.0+))))
293 "http://micans.org/mcl/src/mcl-"
294 (string-replace-substring version "." "-")
298 "15xlax3z31lsn62vlg94hkm75nm40q4679amnfg13jm8m2bnhy5m"))))
299 (build-system gnu-build-system)
301 `(#:configure-flags (list "--enable-blast")))
304 (home-page "http://micans.org/mcl/")
305 (synopsis "Clustering algorithm for graphs")
307 "The MCL algorithm is short for the @dfn{Markov Cluster Algorithm}, a
308 fast and scalable unsupervised cluster algorithm for graphs (also known as
309 networks) based on simulation of (stochastic) flow in graphs.")
310 ;; In the LICENCE file and web page it says "The software is licensed
311 ;; under the GNU General Public License, version 3.", but in several of
312 ;; the source code files it suggests GPL3 or later.
313 ;; http://listserver.ebi.ac.uk/pipermail/mcl-users/2016/000376.html
314 (license license:gpl3)))
316 (define-public ocaml-mcl
319 (version "12-068oasis4")
324 (url "https://github.com/fhcrc/mcl")
326 (file-name (git-file-name name version))
329 "0009dc3h2jp3qg5val452wngpqnbfyhbcxylghq0mrjqxx0jdq5p"))))
330 (build-system ocaml-build-system)
333 (modify-phases %standard-phases
334 (add-before 'configure 'patch-paths
336 (substitute* "setup.ml"
338 (string-append "LDFLAGS=-fPIC\"; \"SHELL=" (which "sh")))
339 (("-std=c89") "-std=gnu99")
341 ;; This is a mutable string, which is no longer supported. Use
342 ;; a byte buffer instead.
343 (("String.make \\(String.length s\\)")
344 "Bytes.make (String.length s)")
346 ;; These two belong together.
347 (("OASISString.replace_chars")
348 "Bytes.to_string (OASISString.replace_chars")
351 (substitute* "myocamlbuild.ml"
352 (("std=c89") "std=gnu99"))
353 ;; Since we build with a more recent OCaml, we have to use C99 or
354 ;; later. This causes problems with the old C code.
355 (substitute* "src/impala/matrix.c"
356 (("restrict") "restrict_"))
359 `(("ocamlbuild" ,ocamlbuild)))
360 (home-page "https://github.com/fhcrc/mcl")
361 (synopsis "OCaml wrappers around MCL")
363 "This package provides OCaml bindings for the MCL graph clustering
365 (license license:gpl3)))
367 (define-public randomjungle
369 (name "randomjungle")
375 "https://www.imbs.uni-luebeck.de/fileadmin/files/Software"
376 "/randomjungle/randomjungle-" version ".tar_.gz"))
377 (patches (search-patches "randomjungle-disable-static-build.patch"))
380 "12c8rf30cla71swx2mf4ww9mfd8jbdw5lnxd7dxhyw1ygrvg6y4w"))))
381 (build-system gnu-build-system)
384 (list "--disable-static"
385 (string-append "--with-boost="
386 (assoc-ref %build-inputs "boost")))
388 (modify-phases %standard-phases
390 'configure 'set-CXXFLAGS
392 (setenv "CXXFLAGS" "-fpermissive ")
400 `(("gfortran" ,gfortran)
401 ("gfortran:lib" ,gfortran "lib")))
402 ;; Non-portable assembly instructions are used so building fails on
403 ;; platforms other than x86_64 or i686.
404 (supported-systems '("x86_64-linux" "i686-linux"))
405 (home-page "https://www.imbs.uni-luebeck.de/forschung/software/details.html#c224")
406 (synopsis "Implementation of the Random Forests machine learning method")
408 "Random Jungle is an implementation of Random Forests. It is supposed to
409 analyse high dimensional data. In genetics, it can be used for analysing big
410 Genome Wide Association (GWA) data. Random Forests is a powerful machine
411 learning method. Most interesting features are variable selection, missing
412 value imputation, classifier creation, generalization error estimation and
413 sample proximities between pairs of cases.")
414 (license license:gpl3+)))
416 (define-public openfst
422 (uri (string-append "http://www.openfst.org/twiki/pub/FST/"
423 "FstDownload/openfst-" version ".tar.gz"))
426 "1pmx1yhn2gknj0an0zwqmzgwjaycapi896244np50a8y3nrsw6ck"))))
427 (build-system gnu-build-system)
428 (home-page "http://www.openfst.org")
429 (synopsis "Library for weighted finite-state transducers")
430 (description "OpenFst is a library for constructing, combining,
431 optimizing, and searching weighted finite-state transducers (FSTs).")
432 (license license:asl2.0)))
434 (define-public shogun
442 "ftp://shogun-toolbox.org/shogun/releases/"
443 (version-major+minor version)
444 "/sources/shogun-" version ".tar.bz2"))
447 "1rn9skm3nw6hr7mr3lgp2gfqhi7ii0lyxck7qmqnf8avq349s5jp"))
448 (modules '((guix build utils)
452 ;; Remove non-free sources and files referencing them
453 (for-each delete-file
454 (find-files "src/shogun/classifier/svm/"
455 "SVMLight\\.(cpp|h)"))
456 (for-each delete-file
457 (find-files "examples/undocumented/libshogun/"
459 "(classifier_.*svmlight.*|"
460 "evaluation_cross_validation_locked_comparison).cpp")))
461 ;; Remove non-free functions.
462 (define (delete-ifdefs file)
463 (with-atomic-file-replacement file
465 (let loop ((line (read-line in 'concat))
467 (if (eof-object? line)
472 "#endif //USE_SVMLIGHT" line)))
474 "#ifdef USE_SVMLIGHT" line))))
475 (when (or (not skipping?)
476 (and skipping? (not skip-next?)))
478 (loop (read-line in 'concat) skip-next?)))))))
479 (for-each delete-ifdefs
481 (find-files "src/shogun/classifier/mkl"
482 "^MKLClassification\\.cpp")
483 (find-files "src/shogun/classifier/svm"
484 "^SVMLightOneClass\\.(cpp|h)")
485 (find-files "src/shogun/multiclass"
486 "^ScatterSVM\\.(cpp|h)")
487 (find-files "src/shogun/kernel/"
488 "^(Kernel|CombinedKernel|ProductKernel)\\.(cpp|h)")
489 (find-files "src/shogun/regression/svr"
490 "^(MKLRegression|SVRLight)\\.(cpp|h)")
491 (find-files "src/shogun/transfer/domain_adaptation"
492 "^DomainAdaptationSVM\\.(cpp|h)")))
494 (build-system cmake-build-system)
496 '(#:tests? #f ;no check target
498 (modify-phases %standard-phases
499 (add-after 'unpack 'delete-broken-symlinks
501 (for-each delete-file '("applications/arts/data"
502 "applications/asp/data"
503 "applications/easysvm/data"
504 "applications/msplicer/data"
505 "applications/ocr/data"
507 "examples/undocumented/data"))
509 (add-after 'unpack 'change-R-target-path
510 (lambda* (#:key outputs #:allow-other-keys)
511 (substitute* '("src/interfaces/r/CMakeLists.txt"
512 "examples/meta/r/CMakeLists.txt")
513 (("\\$\\{R_COMPONENT_LIB_PATH\\}")
514 (string-append (assoc-ref outputs "out")
517 (add-after 'unpack 'fix-octave-modules
518 (lambda* (#:key outputs #:allow-other-keys)
519 (substitute* "src/interfaces/octave/CMakeLists.txt"
520 (("^include_directories\\(\\$\\{OCTAVE_INCLUDE_DIRS\\}")
521 "include_directories(${OCTAVE_INCLUDE_DIRS} ${OCTAVE_INCLUDE_DIRS}/octave")
522 ;; change target directory
523 (("\\$\\{OCTAVE_OCT_LOCAL_API_FILE_DIR\\}")
524 (string-append (assoc-ref outputs "out")
525 "/share/octave/packages")))
526 (substitute* '("src/interfaces/octave/swig_typemaps.i"
527 "src/interfaces/octave/sg_print_functions.cpp")
528 ;; "octave/config.h" and "octave/oct-obj.h" deprecated in Octave.
529 (("octave/config\\.h") "octave/octave-config.h")
530 (("octave/oct-obj.h") "octave/ovl.h"))
532 (add-after 'unpack 'move-rxcpp
533 (lambda* (#:key inputs #:allow-other-keys)
534 (let ((rxcpp-dir "shogun/third-party/rxcpp"))
536 (install-file (assoc-ref inputs "rxcpp") rxcpp-dir)
538 (add-before 'build 'set-HOME
539 ;; $HOME needs to be set at some point during the build phase
540 (lambda _ (setenv "HOME" "/tmp") #t)))
542 (list "-DCMAKE_BUILD_WITH_INSTALL_RPATH=TRUE"
543 "-DUSE_SVMLIGHT=OFF" ;disable proprietary SVMLIGHT
544 "-DBUILD_META_EXAMPLES=OFF" ;requires unpackaged ctags
545 ;;"-DINTERFACE_JAVA=ON" ;requires unpackaged jblas
546 ;;"-DINTERFACE_RUBY=ON" ;requires unpackaged ruby-narray
547 ;;"-DINTERFACE_PERL=ON" ;"FindPerlLibs" does not exist
548 ;;"-DINTERFACE_LUA=ON" ;fails because lua doesn't build pkgconfig file
549 "-DINTERFACE_OCTAVE=ON"
550 "-DINTERFACE_PYTHON=ON"
551 "-DINTERFACE_R=ON")))
554 ("numpy" ,python-numpy)
555 ("r-minimal" ,r-minimal)
556 ("octave" ,octave-cli)
561 ("arpack" ,arpack-ng)
568 `(("pkg-config" ,pkg-config)
570 ;; Non-portable SSE instructions are used so building fails on platforms
571 ;; other than x86_64.
572 (supported-systems '("x86_64-linux"))
573 (home-page "https://shogun-toolbox.org/")
574 (synopsis "Machine learning toolbox")
576 "The Shogun Machine learning toolbox provides a wide range of unified and
577 efficient Machine Learning (ML) methods. The toolbox seamlessly
578 combines multiple data representations, algorithm classes, and general purpose
579 tools. This enables both rapid prototyping of data pipelines and extensibility
580 in terms of new algorithms.")
581 (license license:gpl3+)))
583 (define-public python-onnx
590 (uri (pypi-uri "onnx" version))
591 ;; ONNX will build googletest from a git checkout. Patch CMake
592 ;; to use googletest from Guix and enable tests by default.
593 (patches (search-patches "python-onnx-use-system-googletest.patch"))
595 (base32 "1ys5f4kqkabm4mgivsw80zz8xj1svanfbpszqbw9j15914hcarcx"))))
596 (build-system python-build-system)
599 ("googletest" ,googletest)
600 ("pybind11" ,pybind11)
601 ("python-coverage" ,python-coverage)
602 ("python-nbval" ,python-nbval)
603 ("python-pytest" ,python-pytest)
604 ("python-pytest-runner" ,python-pytest-runner)))
606 `(("protobuf" ,protobuf)))
608 `(("python-numpy" ,python-numpy)
609 ("python-protobuf" ,python-protobuf)
610 ("python-six" ,python-six)
611 ("python-tabulate" ,python-tabulate)
612 ("python-typing-extensions"
613 ,python-typing-extensions)))
614 (home-page "https://onnx.ai/")
615 (synopsis "Open Neural Network Exchange")
617 "Open Neural Network Exchange (ONNX) provides an open source format for
618 AI models, both deep learning and traditional ML. It defines an extensible
619 computation graph model, as well as definitions of built-in operators and
620 standard data types.")
621 (license license:expat)))
631 (url "https://github.com/ReactiveX/RxCpp")
632 (commit (string-append "v" version))))
634 (base32 "1rdpa3jlc181jd08nk437aar085h28i45s6nzrv65apb3xyyz0ij"))
635 (file-name (git-file-name name version))))
636 (build-system cmake-build-system)
639 (modify-phases %standard-phases
640 (add-after 'unpack 'remove-werror
642 (substitute* (find-files ".")
647 (invoke "ctest"))))))
649 `(("catch" ,catch-framework)))
650 (home-page "http://reactivex.io/")
651 (synopsis "Reactive Extensions for C++")
653 "The Reactive Extensions for C++ (RxCpp) is a library of algorithms for
654 values-distributed-in-time. ReactiveX is a library for composing asynchronous
655 and event-based programs by using observable sequences.
657 It extends the observer pattern to support sequences of data and/or events and
658 adds operators that allow you to compose sequences together declaratively while
659 abstracting away concerns about things like low-level threading,
660 synchronization, thread-safety, concurrent data structures, and non-blocking
662 (license license:asl2.0)))
664 (define-public gemmlowp-for-tensorflow
665 ;; The commit hash is taken from "tensorflow/workspace.bzl".
666 (let ((commit "38ebac7b059e84692f53e5938f97a9943c120d98")
670 (version (git-version "0" revision commit))
673 (uri (string-append "https://mirror.bazel.build/"
674 "github.com/google/gemmlowp/archive/"
676 (file-name (string-append "gemmlowp-" version ".zip"))
679 "0n56s2g8hrssm4w8qj1v58gfm56a04n9v992ixkmvk6zjiralzxq"))))
680 (build-system cmake-build-system)
683 (list ,@(match (%current-system)
684 ((or "x86_64-linux" "i686-linux")
685 '("-DCMAKE_CXX_FLAGS=-msse2"))
688 (modify-phases %standard-phases
689 ;; This directory contains the CMakeLists.txt.
690 (add-after 'unpack 'chdir
691 (lambda _ (chdir "contrib") #t))
692 ;; There is no install target
694 (lambda* (#:key outputs #:allow-other-keys)
695 (let* ((out (assoc-ref outputs "out"))
696 (lib (string-append out "/lib/"))
697 (inc (string-append out "/include/")))
698 (install-file "../build/libeight_bit_int_gemm.so" lib)
699 (for-each (lambda (dir)
700 (let ((target (string-append inc "/" dir)))
702 (for-each (lambda (h)
703 (install-file h target))
704 (find-files (string-append "../" dir)
706 '("meta" "profiling" "public" "fixedpoint"
707 "eight_bit_int_gemm" "internal"))
711 (home-page "https://github.com/google/gemmlowp")
712 (synopsis "Small self-contained low-precision GEMM library")
714 "This is a small self-contained low-precision @dfn{general matrix
715 multiplication} (GEMM) library. It is not a full linear algebra library.
716 Low-precision means that the input and output matrix entries are integers on
717 at most 8 bits. To avoid overflow, results are internally accumulated on more
718 than 8 bits, and at the end only some significant 8 bits are kept.")
719 (license license:asl2.0))))
728 "http://dlib.net/files/dlib-" version ".tar.bz2"))
731 "139jyi19qz37wwmmy48gil9d1kkh2r3w3bwdzabha6ayxmba96nz"))
732 (modules '((guix build utils)))
735 ;; Delete ~13MB of bundled dependencies.
736 (delete-file-recursively "dlib/external")
737 (delete-file-recursively "docs/dlib/external")
739 (build-system cmake-build-system)
741 `(#:configure-flags '("-DBUILD_SHARED_LIBS=ON")
743 (modify-phases %standard-phases
744 (add-after 'unpack 'disable-asserts
746 ;; config.h recommends explicitly enabling or disabling asserts
747 ;; when building as a shared library. By default neither is set.
748 (substitute* "dlib/config.h"
749 (("^//#define DLIB_DISABLE_ASSERTS") "#define DLIB_DISABLE_ASSERTS"))
751 (add-after 'disable-asserts 'disable-failing-tests
753 ;; One test times out on MIPS, so we need to disable it.
754 ;; Others are flaky on some platforms.
755 (let* ((system ,(or (%current-target-system)
757 (disabled-tests (cond
758 ((string-prefix? "mips64" system)
759 '("object_detector" ; timeout
761 ((string-prefix? "armhf" system)
762 '("learning_to_track"))
763 ((string-prefix? "i686" system)
768 (substitute* "dlib/test/makefile"
769 (((string-append "SRC \\+= " test "\\.cpp")) "")))
774 ;; No test target, so we build and run the unit tests here.
775 (let ((test-dir (string-append "../dlib-" ,version "/dlib/test")))
776 (with-directory-excursion test-dir
777 (invoke "make" "-j" (number->string (parallel-job-count)))
778 (invoke "./dtest" "--runall"))
781 `(("pkg-config" ,pkg-config)
787 ("libjpeg" ,libjpeg-turbo)
790 ("openblas" ,openblas)
793 "Toolkit for making machine learning and data analysis applications in C++")
795 "Dlib is a modern C++ toolkit containing machine learning algorithms and
796 tools. It is used in both industry and academia in a wide range of domains
797 including robotics, embedded devices, mobile phones, and large high performance
798 computing environments.")
799 (home-page "http://dlib.net")
800 (license license:boost1.0)))
802 (define-public python-scikit-learn
804 (name "python-scikit-learn")
810 (url "https://github.com/scikit-learn/scikit-learn")
812 (file-name (git-file-name name version))
815 "0dd854hi9h81pa3y6gwa6r4qjwrwq5fndi312h6dkqzfh7jbvgvd"))))
816 (build-system python-build-system)
819 (modify-phases %standard-phases
820 (add-after 'build 'build-ext
821 (lambda _ (invoke "python" "setup.py" "build_ext" "--inplace") #t))
824 ;; Restrict OpenBLAS threads to prevent segfaults while testing!
825 (setenv "OPENBLAS_NUM_THREADS" "1")
827 ;; Some tests require write access to $HOME.
828 (setenv "HOME" "/tmp")
830 (invoke "pytest" "sklearn" "-m" "not network")))
831 (add-before 'reset-gzip-timestamps 'make-files-writable
832 (lambda* (#:key outputs #:allow-other-keys)
833 ;; Make sure .gz files are writable so that the
834 ;; 'reset-gzip-timestamps' phase can do its work.
835 (let ((out (assoc-ref outputs "out")))
836 (for-each make-file-writable
837 (find-files out "\\.gz$"))
840 `(("openblas" ,openblas)))
842 `(("python-pytest" ,python-pytest)
843 ("python-pandas" ,python-pandas) ;for tests
844 ("python-cython" ,python-cython)))
846 `(("python-numpy" ,python-numpy)
847 ("python-threadpoolctl" ,python-threadpoolctl)
848 ("python-scipy" ,python-scipy)
849 ("python-joblib" ,python-joblib)))
850 (home-page "https://scikit-learn.org/")
851 (synopsis "Machine Learning in Python")
853 "Scikit-learn provides simple and efficient tools for data mining and
855 (properties `((python2-variant . ,(delay python2-scikit-learn))))
856 (license license:bsd-3)))
858 ;; scikit-learn 0.22 and later only supports Python 3, so we stick with
859 ;; an older version here.
860 (define-public python2-scikit-learn
861 (let ((base (package-with-python2 (strip-python2-variant python-scikit-learn))))
868 (url "https://github.com/scikit-learn/scikit-learn")
870 (file-name (git-file-name "python-scikit-learn" version))
873 "08zbzi8yx5wdlxfx9jap61vg1malc9ajf576w7a0liv6jvvrxlpj"))))
875 `(("openblas" ,openblas)))
877 `(("python2-pytest" ,python2-pytest)
878 ("python2-pandas" ,python2-pandas) ;for tests
879 ("python2-cython" ,python2-cython)))
881 `(("python2-numpy" ,python2-numpy)
882 ("python2-scipy" ,python2-scipy)
883 ("python2-joblib" ,python2-joblib))))))
885 (define-public python-threadpoolctl
887 (name "python-threadpoolctl")
892 (uri (pypi-uri "threadpoolctl" version))
895 "0szsxcm2fbxrn83iynn42bnvrdh7mfsmkhfn8pdn7swblfb7rifx"))))
896 (build-system python-build-system)
899 (modify-phases %standard-phases
901 (lambda* (#:key tests? inputs outputs #:allow-other-keys)
903 (add-installed-pythonpath inputs outputs)
907 `(("python-pytest" ,python-pytest)))
908 (home-page "https://github.com/joblib/threadpoolctl")
909 (synopsis "Python helpers for common threading libraries")
910 (description "Thread-pool Controls provides Python helpers to limit the
911 number of threads used in the threadpool-backed of common native libraries used
912 for scientific computing and data science (e.g. BLAS and OpenMP).")
913 (license license:bsd-3)))
915 (define-public python-pynndescent
917 (name "python-pynndescent")
922 (uri (pypi-uri "pynndescent" version))
924 (base32 "0w87c2v0li2rdbx6qfc2lb6y6bxpdy3jwfgzfs1kcr4d1chj5zfr"))))
925 (build-system python-build-system)
927 `(("python-nose" ,python-nose)))
929 `(("python-joblib" ,python-joblib)
930 ("python-llvmlite" ,python-llvmlite)
931 ("python-numba" ,python-numba)
932 ("python-scikit-learn" ,python-scikit-learn)
933 ("python-scipy" ,python-scipy)))
934 (home-page "https://github.com/lmcinnes/pynndescent")
935 (synopsis "Nearest neighbor descent for approximate nearest neighbors")
937 "PyNNDescent provides a Python implementation of Nearest Neighbor Descent
938 for k-neighbor-graph construction and approximate nearest neighbor search.")
939 (license license:bsd-2)))
941 (define-public python-opentsne
943 (name "python-opentsne")
947 ;; No tests in the PyPI tarball.
950 (url "https://github.com/pavlin-policar/openTSNE")
951 (commit (string-append "v" version))))
952 (file-name (string-append name "-" version "-checkout"))
954 (base32 "1hl42wmafydk4fxdx05l180k3canmqw8h9r20fsqq2aq440b09gh"))))
955 (build-system python-build-system)
958 (modify-phases %standard-phases
959 ;; Benchmarks require the 'macosko2015' data files.
960 (add-after 'unpack 'delete-benchmark
962 (delete-file-recursively "benchmarks")
964 ;; Numba needs a writable dir to cache functions.
965 (add-before 'check 'set-numba-cache-dir
967 (setenv "NUMBA_CACHE_DIR" "/tmp")
970 `(("python-cython" ,python-cython)))
974 `(("python-numpy" ,python-numpy)
975 ("python-pynndescent" ,python-pynndescent)
976 ("python-scikit-learn" ,python-scikit-learn)
977 ("python-scipy" ,python-scipy)))
978 (home-page "https://github.com/pavlin-policar/openTSNE")
979 (synopsis "Extensible, parallel implementations of t-SNE")
981 "This is a modular Python implementation of t-Distributed Stochastic
982 Neighbor Embedding (t-SNE), a popular dimensionality-reduction algorithm for
983 visualizing high-dimensional data sets.")
984 (license license:bsd-3)))
986 (define-public python-scikit-rebate
988 (name "python-scikit-rebate")
992 (uri (pypi-uri "skrebate" version))
995 "1h7qs9gjxpzqabzhb8rmpv3jpmi5iq41kqdibg48299h94iikiw7"))))
996 (build-system python-build-system)
997 ;; Pandas is only needed to run the tests.
999 `(("python-pandas" ,python-pandas)))
1001 `(("python-numpy" ,python-numpy)
1002 ("python-scipy" ,python-scipy)
1003 ("python-scikit-learn" ,python-scikit-learn)
1004 ("python-joblib" ,python-joblib)))
1005 (home-page "https://epistasislab.github.io/scikit-rebate/")
1006 (synopsis "Relief-based feature selection algorithms for Python")
1007 (description "Scikit-rebate is a scikit-learn-compatible Python
1008 implementation of ReBATE, a suite of Relief-based feature selection algorithms
1009 for Machine Learning. These algorithms excel at identifying features that are
1010 predictive of the outcome in supervised learning problems, and are especially
1011 good at identifying feature interactions that are normally overlooked by
1012 standard feature selection algorithms.")
1013 (license license:expat)))
1015 (define-public python-autograd
1016 (let* ((commit "442205dfefe407beffb33550846434baa90c4de7")
1018 (version (git-version "0.0.0" revision commit)))
1020 (name "python-autograd")
1021 (home-page "https://github.com/HIPS/autograd")
1029 "189sv2xb0mwnjawa9z7mrgdglc1miaq93pnck26r28fi1jdwg0z4"))
1030 (file-name (git-file-name name version))))
1032 (build-system python-build-system)
1034 `(("python-nose" ,python-nose)
1035 ("python-pytest" ,python-pytest)))
1037 `(("python-future" ,python-future)
1038 ("python-numpy" ,python-numpy)))
1040 `(#:phases (modify-phases %standard-phases
1043 (invoke "py.test" "-v"))))))
1044 (synopsis "Efficiently computes derivatives of NumPy code")
1045 (description "Autograd can automatically differentiate native Python and
1046 NumPy code. It can handle a large subset of Python's features, including loops,
1047 ifs, recursion and closures, and it can even take derivatives of derivatives
1048 of derivatives. It supports reverse-mode differentiation
1049 (a.k.a. backpropagation), which means it can efficiently take gradients of
1050 scalar-valued functions with respect to array-valued arguments, as well as
1051 forward-mode differentiation, and the two can be composed arbitrarily. The
1052 main intended application of Autograd is gradient-based optimization.")
1053 (license license:expat))))
1055 (define-public python2-autograd
1056 (package-with-python2 python-autograd))
1058 (define-public lightgbm
1065 (url "https://github.com/Microsoft/LightGBM")
1066 (commit (string-append "v" version))))
1069 "0jlvyn7k81dzrh9ij3zw576wbgiwmmr26rzpdxjn1dbpc3njpvzi"))
1070 (file-name (git-file-name name version))))
1072 `(("python-pytest" ,python-pytest)
1073 ("python-nose" ,python-nose)))
1075 `(("openmpi" ,openmpi)))
1077 `(("python-numpy" ,python-numpy)
1078 ("python-scipy" ,python-scipy)))
1083 (modify-phases %standard-phases
1086 (with-directory-excursion "../source"
1087 (invoke "pytest" "tests/c_api_test/test_.py")))))))
1088 (build-system cmake-build-system)
1089 (home-page "https://github.com/Microsoft/LightGBM")
1090 (synopsis "Gradient boosting framework based on decision tree algorithms")
1091 (description "LightGBM is a gradient boosting framework that uses tree
1092 based learning algorithms. It is designed to be distributed and efficient with
1093 the following advantages:
1096 @item Faster training speed and higher efficiency
1097 @item Lower memory usage
1098 @item Better accuracy
1099 @item Parallel and GPU learning supported (not enabled in this package)
1100 @item Capable of handling large-scale data
1102 (license license:expat)))
1104 (define-public vowpal-wabbit
1105 ;; Language bindings not included.
1107 (name "vowpal-wabbit")
1112 (url "https://github.com/JohnLangford/vowpal_wabbit")
1116 "04bwzk6ifgnz3fmzid8b7avxf9n5pnx9xcjm61nkjng1vv0bpj8x"))
1117 (file-name (git-file-name name version))))
1123 (list (string-append "--with-boost="
1124 (assoc-ref %build-inputs "boost")))
1126 (modify-phases %standard-phases
1127 (add-after 'unpack 'make-files-writable
1129 (for-each make-file-writable (find-files "." ".*")) #t))
1130 (add-after 'install 'install-more-headers
1131 (lambda* (#:key outputs #:allow-other-keys)
1134 (install-file file (string-append
1135 (assoc-ref outputs "out")
1136 "/include/vowpalwabbit")))
1137 (find-files "vowpalwabbit" "\\.h$"))
1139 (build-system gnu-build-system)
1140 (home-page "https://github.com/JohnLangford/vowpal_wabbit")
1141 (synopsis "Fast machine learning library for online learning")
1142 (description "Vowpal Wabbit is a machine learning system with techniques
1143 such as online, hashing, allreduce, reductions, learning2search, active, and
1144 interactive learning.")
1145 (license license:bsd-3)))
1147 (define-public python2-fastlmm
1149 (name "python2-fastlmm")
1154 (uri (pypi-uri "fastlmm" version ".zip"))
1157 "1q8c34rpmwkfy3r4d5172pzdkpfryj561897z9r3x22gq7813x1m"))))
1158 (build-system python-build-system)
1160 `(#:tests? #f ; some test files are missing
1161 #:python ,python-2)) ; only Python 2.7 is supported
1163 `(("python2-numpy" ,python2-numpy)
1164 ("python2-scipy" ,python2-scipy)
1165 ("python2-matplotlib" ,python2-matplotlib)
1166 ("python2-pandas" ,python2-pandas)
1167 ("python2-scikit-learn" ,python2-scikit-learn)
1168 ("python2-pysnptools" ,python2-pysnptools)))
1171 ("python2-cython" ,python2-cython)
1172 ("python2-mock" ,python2-mock)
1173 ("python2-nose" ,python2-nose)))
1174 (home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/")
1175 (synopsis "Perform genome-wide association studies on large data sets")
1177 "FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed
1178 Models, is a program for performing both single-SNP and SNP-set genome-wide
1179 association studies (GWAS) on extremely large data sets.")
1180 (license license:asl2.0)))
1182 ;; There have been no proper releases yet.
1183 (define-public kaldi
1184 (let ((commit "d4791c0f3fc1a09c042dac365e120899ee2ad21e")
1188 (version (git-version "0" revision commit))
1192 (url "https://github.com/kaldi-asr/kaldi")
1194 (file-name (git-file-name name version))
1197 "07k80my6f19mhrkwbzhjsnpf9871wmrwkl0ym468i830w67qyjrz"))))
1198 (build-system gnu-build-system)
1200 `(#:test-target "test"
1202 (modify-phases %standard-phases
1203 (add-after 'unpack 'chdir
1204 (lambda _ (chdir "src") #t))
1206 (lambda* (#:key build system inputs outputs #:allow-other-keys)
1207 (when (not (or (string-prefix? "x86_64" system)
1208 (string-prefix? "i686" system)))
1209 (substitute* "makefiles/linux_openblas.mk"
1210 (("-msse -msse2") "")))
1211 (substitute* "makefiles/default_rules.mk"
1212 (("/bin/bash") (which "bash")))
1213 (substitute* "Makefile"
1214 (("ext_depend: check_portaudio")
1216 (substitute* '("online/Makefile"
1217 "onlinebin/Makefile"
1218 "gst-plugin/Makefile")
1219 (("../../tools/portaudio/install")
1220 (assoc-ref inputs "portaudio")))
1222 ;; This `configure' script doesn't support variables passed as
1223 ;; arguments, nor does it support "prefix".
1224 (let ((out (assoc-ref outputs "out"))
1225 (openblas (assoc-ref inputs "openblas"))
1226 (openfst (assoc-ref inputs "openfst")))
1227 (substitute* "configure"
1228 (("check_for_slow_expf;") "")
1229 ;; This affects the RPATH and also serves as the installation
1231 (("KALDILIBDIR=`pwd`/lib")
1232 (string-append "KALDILIBDIR=" out "/lib")))
1233 (mkdir-p out) ; must exist
1234 (setenv "CONFIG_SHELL" (which "bash"))
1235 (setenv "OPENFST_VER" ,(package-version openfst))
1236 (invoke "./configure"
1239 (string-append "--openblas-root=" openblas)
1240 (string-append "--fst-root=" openfst)))))
1241 (add-after 'build 'build-ext-and-gstreamer-plugin
1243 (invoke "make" "-C" "online" "depend")
1244 (invoke "make" "-C" "online")
1245 (invoke "make" "-C" "onlinebin" "depend")
1246 (invoke "make" "-C" "onlinebin")
1247 (invoke "make" "-C" "gst-plugin" "depend")
1248 (invoke "make" "-C" "gst-plugin")
1250 ;; TODO: also install the executables.
1252 (lambda* (#:key outputs #:allow-other-keys)
1253 (let* ((out (assoc-ref outputs "out"))
1254 (inc (string-append out "/include"))
1255 (lib (string-append out "/lib")))
1257 ;; The build phase installed symlinks to the actual
1258 ;; libraries. Install the actual targets.
1259 (for-each (lambda (file)
1260 (let ((target (readlink file)))
1262 (install-file target lib)))
1263 (find-files lib "\\.so"))
1265 (for-each (lambda (file)
1266 (let ((target-dir (string-append inc "/" (dirname file))))
1267 (install-file file target-dir)))
1268 (find-files "." "\\.h"))
1269 (install-file "gst-plugin/libgstonlinegmmdecodefaster.so"
1270 (string-append lib "/gstreamer-1.0"))
1273 `(("alsa-lib" ,alsa-lib)
1274 ("gfortran" ,gfortran "lib")
1276 ("gstreamer" ,gstreamer)
1278 ("openblas" ,openblas)
1279 ("openfst" ,openfst)
1280 ("portaudio" ,portaudio)
1281 ("python" ,python)))
1283 `(("glib" ,glib "bin") ; glib-genmarshal
1286 ("pkg-config" ,pkg-config)
1288 (home-page "https://kaldi-asr.org/")
1289 (synopsis "Speech recognition toolkit")
1290 (description "Kaldi is an extensible toolkit for speech recognition
1292 (license license:asl2.0))))
1294 (define-public gst-kaldi-nnet2-online
1295 (let ((commit "cb227ef43b66a9835c14eb0ad39e08ee03c210ad")
1298 (name "gst-kaldi-nnet2-online")
1299 (version (git-version "0" revision commit))
1303 (url "https://github.com/alumae/gst-kaldi-nnet2-online")
1305 (file-name (git-file-name name version))
1308 "1i6ffwiavxx07ri0lxix6s8q0r31x7i4xxvhys5jxkixf5q34w8g"))))
1309 (build-system gnu-build-system)
1311 `(#:tests? #f ; there are none
1313 (list (string-append "SHELL="
1314 (assoc-ref %build-inputs "bash") "/bin/bash")
1315 (string-append "KALDI_ROOT="
1316 (assoc-ref %build-inputs "kaldi-src"))
1317 (string-append "KALDILIBDIR="
1318 (assoc-ref %build-inputs "kaldi") "/lib")
1319 "KALDI_FLAVOR=dynamic")
1321 (modify-phases %standard-phases
1322 (add-after 'unpack 'chdir
1323 (lambda _ (chdir "src") #t))
1325 (lambda* (#:key inputs #:allow-other-keys)
1326 (let ((glib (assoc-ref inputs "glib")))
1327 (setenv "CXXFLAGS" "-fPIC")
1328 (setenv "CPLUS_INCLUDE_PATH"
1329 (string-append glib "/include/glib-2.0:"
1330 glib "/lib/glib-2.0/include:"
1331 (assoc-ref inputs "gstreamer")
1332 "/include/gstreamer-1.0")))
1333 (substitute* "Makefile"
1334 (("include \\$\\(KALDI_ROOT\\)/src/kaldi.mk") "")
1335 (("\\$\\(error Cannot find") "#"))
1337 (add-before 'build 'build-depend
1338 (lambda* (#:key make-flags #:allow-other-keys)
1339 (apply invoke "make" "depend" make-flags)))
1341 (lambda* (#:key outputs #:allow-other-keys)
1342 (let* ((out (assoc-ref outputs "out"))
1343 (lib (string-append out "/lib/gstreamer-1.0")))
1344 (install-file "libgstkaldinnet2onlinedecoder.so" lib)
1348 ("gstreamer" ,gstreamer)
1349 ("jansson" ,jansson)
1350 ("openfst" ,openfst)
1354 ("glib:bin" ,glib "bin") ; glib-genmarshal
1355 ("kaldi-src" ,(package-source kaldi))
1356 ("pkg-config" ,pkg-config)))
1357 (home-page "https://kaldi-asr.org/")
1358 (synopsis "Gstreamer plugin for decoding speech")
1359 (description "This package provides a GStreamer plugin that wraps
1360 Kaldi's @code{SingleUtteranceNnet2Decoder}. It requires iVector-adapted DNN
1361 acoustic models. The iVectors are adapted to the current audio stream
1363 (license license:asl2.0))))
1365 (define-public kaldi-gstreamer-server
1366 ;; This is the tip of the py3 branch
1367 (let ((commit "f68cab490be7eb0da2af1475fbc16655f50a60cb")
1370 (name "kaldi-gstreamer-server")
1371 (version (git-version "0" revision commit))
1375 (url "https://github.com/alumae/kaldi-gstreamer-server")
1377 (file-name (git-file-name name version))
1380 "17lh1368vkg8ngrcbn2phvigzlmalrqg6djx2gg61qq1a0nj87dm"))))
1381 (build-system gnu-build-system)
1383 `(#:tests? #f ; there are no tests that can be run automatically
1384 #:modules ((guix build utils)
1385 (guix build gnu-build-system)
1388 (modify-phases %standard-phases
1391 (lambda* (#:key outputs #:allow-other-keys)
1392 ;; Disable hash randomization to ensure the generated .pycs
1393 ;; are reproducible.
1394 (setenv "PYTHONHASHSEED" "0")
1395 (with-directory-excursion "kaldigstserver"
1396 ;; See https://github.com/alumae/kaldi-gstreamer-server/issues/232
1397 (substitute* "master_server.py"
1398 (("\\.replace\\('\\\\.*") ")"))
1400 ;; This is a Python 2 file
1401 (delete-file "decoder_test.py")
1402 (delete-file "test-buffer.py")
1404 (for-each (lambda (file)
1408 "-f" ; force rebuild
1410 (find-files "." "\\.py$")))
1413 (lambda* (#:key inputs outputs #:allow-other-keys)
1414 (let* ((out (assoc-ref outputs "out"))
1415 (bin (string-append out "/bin"))
1416 (share (string-append out "/share/kaldi-gstreamer-server/")))
1417 ;; Install Python files
1418 (with-directory-excursion "kaldigstserver"
1419 (for-each (cut install-file <> share)
1420 (find-files "." ".*")))
1422 ;; Install sample configuration files
1423 (for-each (cut install-file <> share)
1424 (find-files "." "\\.yaml"))
1426 ;; Install executables
1428 (let* ((server (string-append bin "/kaldi-gst-server"))
1429 (client (string-append bin "/kaldi-gst-client"))
1430 (worker (string-append bin "/kaldi-gst-worker"))
1431 (PYTHONPATH (getenv "PYTHONPATH"))
1432 (GST_PLUGIN_PATH (string-append
1433 (assoc-ref inputs "gst-kaldi-nnet2-online")
1434 "/lib/gstreamer-1.0:${GST_PLUGIN_PATH}"))
1435 (wrap (lambda (wrapper what)
1436 (with-output-to-file wrapper
1440 export PYTHONPATH=~a
1441 export GST_PLUGIN_PATH=~a
1442 exec ~a ~a/~a \"$@\"~%"
1443 (which "bash") PYTHONPATH GST_PLUGIN_PATH
1444 (which "python") share what)))
1445 (chmod wrapper #o555))))
1447 (list server client worker)
1448 (list "master_server.py"
1453 `(("gst-kaldi-nnet2-online" ,gst-kaldi-nnet2-online)
1454 ("python" ,python-wrapper)
1455 ("python-pygobject" ,python-pygobject)
1456 ("python-pyyaml" ,python-pyyaml)
1457 ("python-tornado" ,python-tornado-6)))
1458 (home-page "https://github.com/alumae/kaldi-gstreamer-server")
1459 (synopsis "Real-time full-duplex speech recognition server")
1460 (description "This is a real-time full-duplex speech recognition server,
1461 based on the Kaldi toolkit and the GStreamer framework and implemented in
1463 (license license:bsd-2))))
1465 ;; Note that Tensorflow includes a "third_party" directory, which seems to not
1466 ;; only contain modified subsets of upstream library source code, but also
1467 ;; adapter headers provided by Google (such as the fft.h header, which is not
1468 ;; part of the upstream project code). The Tensorflow code includes headers
1469 ;; from the "third_party" directory. It does not look like we can replace
1470 ;; these headers with unmodified upstream files, so we keep them.
1471 (define-public tensorflow
1479 (url "https://github.com/tensorflow/tensorflow")
1480 (commit (string-append "v" version))))
1481 (file-name (string-append "tensorflow-" version "-checkout"))
1484 "0a9kwha395g3wgxfwln5j8vn9nkspmd75xldrlqdq540w996g8xa"))))
1485 (build-system cmake-build-system)
1487 `(#:tests? #f ; no "check" target
1488 #:build-type "Release"
1490 (let ((protobuf (assoc-ref %build-inputs "protobuf"))
1491 (protobuf:native (assoc-ref %build-inputs "protobuf:native"))
1492 (jsoncpp (assoc-ref %build-inputs "jsoncpp"))
1493 (snappy (assoc-ref %build-inputs "snappy"))
1494 (sqlite (assoc-ref %build-inputs "sqlite")))
1496 ;; Use protobuf from Guix
1497 (string-append "-Dprotobuf_STATIC_LIBRARIES="
1498 protobuf "/lib/libprotobuf.so")
1499 (string-append "-DPROTOBUF_PROTOC_EXECUTABLE="
1500 protobuf:native "/bin/protoc")
1502 ;; Use snappy from Guix
1503 (string-append "-Dsnappy_STATIC_LIBRARIES="
1504 snappy "/lib/libsnappy.so")
1505 ;; Yes, this is not actually the include directory but a prefix...
1506 (string-append "-Dsnappy_INCLUDE_DIR=" snappy)
1508 ;; Use jsoncpp from Guix
1509 (string-append "-Djsoncpp_STATIC_LIBRARIES="
1510 jsoncpp "/lib/libjsoncpp.so")
1511 ;; Yes, this is not actually the include directory but a prefix...
1512 (string-append "-Djsoncpp_INCLUDE_DIR=" jsoncpp)
1514 ;; Use sqlite from Guix
1515 (string-append "-Dsqlite_STATIC_LIBRARIES="
1516 sqlite "/lib/libsqlite.a")
1518 ;; Use system libraries wherever possible. Currently, this
1519 ;; only affects zlib.
1520 "-Dsystemlib_ALL=ON"
1521 "-Dtensorflow_ENABLE_POSITION_INDEPENDENT_CODE=ON"
1522 "-Dtensorflow_BUILD_SHARED_LIB=ON"
1523 "-Dtensorflow_OPTIMIZE_FOR_NATIVE_ARCH=OFF"
1524 "-Dtensorflow_ENABLE_SSL_SUPPORT=OFF"
1525 "-Dtensorflow_BUILD_CONTRIB_KERNELS=OFF"))
1528 #:modules ((ice-9 ftw)
1530 (guix build cmake-build-system)
1531 ((guix build python-build-system)
1532 #:select (python-version)))
1533 #:imported-modules (,@%cmake-build-system-modules
1534 (guix build python-build-system))
1536 (modify-phases %standard-phases
1537 (add-after 'unpack 'set-source-file-times-to-1980
1538 ;; At the end of the tf_python_build_pip_package target, a ZIP
1539 ;; archive should be generated via bdist_wheel, but it fails with
1540 ;; "ZIP does not support timestamps before 1980". Luckily,
1541 ;; SOURCE_DATE_EPOCH is respected, which we set to some time in
1543 (lambda _ (setenv "SOURCE_DATE_EPOCH" "315532800") #t))
1544 ;; See https://github.com/tensorflow/tensorflow/issues/20517#issuecomment-406373913
1545 (add-after 'unpack 'python3.7-compatibility
1547 (substitute* '("tensorflow/python/eager/pywrap_tfe_src.cc"
1548 "tensorflow/python/lib/core/ndarray_tensor.cc"
1549 "tensorflow/python/lib/core/py_func.cc")
1550 (("PyUnicode_AsUTF8") "(char *)PyUnicode_AsUTF8"))
1551 (substitute* "tensorflow/c/eager/c_api.h"
1552 (("unsigned char async")
1553 "unsigned char is_async"))
1555 ;; Remove dependency on tensorboard, a complicated but probably
1556 ;; optional package.
1557 (substitute* "tensorflow/tools/pip_package/setup.py"
1558 ((".*'tensorboard >.*") ""))
1560 ;; Fix the build with python-3.8, taken from rejected upstream patch:
1561 ;; https://github.com/tensorflow/tensorflow/issues/34197
1562 (substitute* (find-files "tensorflow/python" ".*\\.cc$")
1563 (("(nullptr,)(\\ +/. tp_print)" _ _ tp_print)
1564 (string-append "NULL, " tp_print)))
1566 (add-after 'python3.7-compatibility 'chdir
1567 (lambda _ (chdir "tensorflow/contrib/cmake") #t))
1568 (add-after 'chdir 'disable-downloads
1569 (lambda* (#:key inputs #:allow-other-keys)
1570 (substitute* (find-files "external" "\\.cmake$")
1571 (("GIT_REPOSITORY.*") "")
1574 "DOWNLOAD_COMMAND \"\"\nPREFIX "))
1576 ;; Use packages from Guix
1577 (let ((grpc (assoc-ref inputs "grpc")))
1578 (substitute* "CMakeLists.txt"
1580 (("include\\(sqlite\\)") "")
1581 (("\\$\\{sqlite_STATIC_LIBRARIES\\}")
1582 (string-append (assoc-ref inputs "sqlite")
1583 "/lib/libsqlite3.so"))
1584 (("sqlite_copy_headers_to_destination") "")
1587 (("include\\(png\\)") "")
1588 (("\\$\\{png_STATIC_LIBRARIES\\}")
1589 (string-append (assoc-ref inputs "libpng")
1590 "/lib/libpng16.so"))
1591 (("png_copy_headers_to_destination") "")
1594 (("include\\(jpeg\\)") "")
1595 (("\\$\\{jpeg_STATIC_LIBRARIES\\}")
1596 (string-append (assoc-ref inputs "libjpeg")
1598 (("jpeg_copy_headers_to_destination") "")
1601 (("include\\(gif\\)") "")
1602 (("\\$\\{gif_STATIC_LIBRARIES\\}")
1603 (string-append (assoc-ref inputs "giflib")
1605 (("gif_copy_headers_to_destination") "")
1608 (("include\\(lmdb\\)") "")
1609 (("\\$\\{lmdb_STATIC_LIBRARIES\\}")
1610 (string-append (assoc-ref inputs "lmdb")
1612 (("lmdb_copy_headers_to_destination") "")
1615 (("include\\(protobuf\\)") "")
1616 (("protobuf_copy_headers_to_destination") "")
1617 (("^ +protobuf") "")
1620 (("include\\(grpc\\)")
1621 "find_package(grpc REQUIRED NAMES gRPC)")
1622 (("list\\(APPEND tensorflow_EXTERNAL_DEPENDENCIES grpc\\)") "")
1625 (("include\\(eigen\\)")
1626 (string-append "find_package(eigen REQUIRED NAMES Eigen3)
1627 set(eigen_INCLUDE_DIRS ${CMAKE_CURRENT_BINARY_DIR}/external/eigen_archive "
1628 (assoc-ref inputs "eigen") "/include/eigen3)"))
1632 (("include\\(snappy\\)")
1633 "add_definitions(-DTF_USE_SNAPPY)")
1634 (("list\\(APPEND tensorflow_EXTERNAL_DEPENDENCIES snappy\\)") "")
1637 (("include\\(jsoncpp\\)") "")
1638 (("^ +jsoncpp") ""))
1640 (substitute* "tf_core_framework.cmake"
1642 (("\\$\\{GRPC_BUILD\\}/grpc_cpp_plugin")
1643 (which "grpc_cpp_plugin"))
1644 ;; Link with gRPC libraries
1645 (("add_library\\(tf_protos_cc.*" m)
1647 (format #f "\ntarget_link_libraries(tf_protos_cc PRIVATE \
1648 ~a/lib/libgrpc++_unsecure.a \
1649 ~a/lib/libgrpc_unsecure.a \
1650 ~a/lib/libaddress_sorting.a \
1655 (assoc-ref inputs "c-ares"))))))
1656 (substitute* "tf_tools.cmake"
1657 (("add_dependencies\\(\\$\\{proto_text.*") ""))
1658 ;; Remove dependency on bundled grpc
1659 (substitute* "tf_core_distributed_runtime.cmake"
1660 (("tf_core_cpu grpc") "tf_core_cpu"))
1662 ;; This directory is a dependency of many targets.
1663 (mkdir-p "protobuf")
1665 (add-after 'configure 'unpack-third-party-sources
1666 (lambda* (#:key inputs #:allow-other-keys)
1667 ;; This is needed to configure bundled packages properly.
1668 (setenv "CONFIG_SHELL" (which "bash"))
1671 (let* ((what (assoc-ref inputs (string-append name "-src")))
1672 (name* (string-map (lambda (c)
1675 (where (string-append "../build/" name* "/src/" name*)))
1677 ((string-suffix? ".zip" what)
1679 (with-directory-excursion where
1680 (invoke "unzip" what)))
1681 ((string-suffix? ".tar.gz" what)
1683 (invoke "tar" "xf" what
1684 "-C" where "--strip-components=1"))
1686 (let ((parent (dirname where)))
1688 (with-directory-excursion parent
1689 (when (file-exists? name*)
1690 (delete-file-recursively name*))
1691 (copy-recursively what name*)
1692 (map make-file-writable
1693 (find-files name* ".*"))))))))
1703 (rename-file "../build/cub/src/cub/cub-1.8.0/"
1704 "../build/cub/src/cub/cub/")
1706 (add-after 'unpack 'fix-python-build
1707 (lambda* (#:key inputs outputs #:allow-other-keys)
1708 (mkdir-p "protobuf-src")
1709 (invoke "tar" "xf" (assoc-ref inputs "protobuf:src")
1710 "-C" "protobuf-src" "--strip-components=1")
1711 (mkdir-p "eigen-src")
1712 (invoke "tar" "xf" (assoc-ref inputs "eigen:src")
1713 "-C" "eigen-src" "--strip-components=1")
1715 (substitute* "tensorflow/contrib/cmake/tf_python.cmake"
1716 ;; Ensure that all Python dependencies can be found at build time.
1717 (("PYTHONPATH=\\$\\{CMAKE_CURRENT_BINARY_DIR\\}/tf_python" m)
1718 (string-append m ":" (getenv "PYTHONPATH")))
1719 ;; Take protobuf source files from our source package.
1720 (("\\$\\{CMAKE_CURRENT_BINARY_DIR\\}/protobuf/src/protobuf/src/google")
1721 (string-append (getcwd) "/protobuf-src/src/google")))
1723 (substitute* '("tensorflow/contrib/cmake/tf_shared_lib.cmake"
1724 "tensorflow/contrib/cmake/tf_python.cmake")
1725 ;; Take Eigen source files from our source package.
1726 (("\\$\\{CMAKE_CURRENT_BINARY_DIR\\}/eigen/src/eigen/")
1727 (string-append (getcwd) "/eigen-src/"))
1728 ;; Take Eigen headers from our own package.
1729 (("\\$\\{CMAKE_CURRENT_BINARY_DIR\\}/external/eigen_archive")
1730 (string-append (assoc-ref inputs "eigen") "/include/eigen3")))
1732 ;; Correct the RUNPATH of ops libraries generated for Python.
1733 ;; TODO: this doesn't work :(
1734 ;; /gnu/store/...-tensorflow-1.9.0/lib/python3.7/site-packages/tensorflow/contrib/seq2seq/python/ops/lib_beam_search_ops.so:
1735 ;; warning: RUNPATH contains bogus entries: ("/tmp/guix-build-tensorflow-1.9.0.drv-0/source/tensorflow/contrib/build")
1736 ;; /gnu/store/...-tensorflow-1.9.0/lib/python3.7/site-packages/tensorflow/contrib/seq2seq/python/ops/lib_beam_search_ops.so:
1737 ;; error: depends on 'libpywrap_tensorflow_internal.so', which
1738 ;; cannot be found in RUNPATH ...
1739 (substitute* "tensorflow/contrib/cmake/tf_cc_ops.cmake"
1740 (("set_target_properties.*")
1741 (string-append "set_target_properties(${_AT_TARGET} PROPERTIES \
1742 COMPILE_FLAGS ${target_compile_flags} \
1743 INSTALL_RPATH_USE_LINK_PATH TRUE \
1744 INSTALL_RPATH " (assoc-ref outputs "out") "/lib)\n")))
1746 (add-after 'build 'build-pip-package
1747 (lambda* (#:key outputs #:allow-other-keys)
1749 (string-append "-Wl,-rpath="
1750 (assoc-ref outputs "out") "/lib"))
1751 (invoke "make" "tf_python_build_pip_package")
1753 (add-after 'build-pip-package 'install-python
1754 (lambda* (#:key inputs outputs #:allow-other-keys)
1755 (let ((out (assoc-ref outputs "out"))
1756 (wheel (car (find-files "../build/tf_python/dist/" "\\.whl$")))
1757 (python-version (python-version
1758 (assoc-ref inputs "python"))))
1759 (invoke "python" "-m" "pip" "install" wheel
1760 (string-append "--prefix=" out))
1762 ;; XXX: broken RUNPATH, see fix-python-build phase.
1765 out "/lib/python" python-version
1766 "/site-packages/tensorflow/contrib/"
1767 "seq2seq/python/ops/lib_beam_search_ops.so"))
1770 `(("pkg-config" ,pkg-config)
1771 ("protobuf:native" ,protobuf-3.6) ; protoc
1772 ("protobuf:src" ,(package-source protobuf-3.6))
1773 ("eigen:src" ,(package-source eigen-for-tensorflow))
1774 ;; install_pip_packages.sh wants setuptools 39.1.0 specifically.
1775 ("python-setuptools" ,python-setuptools-for-tensorflow)
1777 ;; The commit hashes and URLs for third-party source code are taken
1778 ;; from "tensorflow/workspace.bzl".
1780 ,(let ((commit "ee7aa02")
1785 (url "https://boringssl.googlesource.com/boringssl")
1787 (file-name (string-append "boringssl-0-" revision
1788 (string-take commit 7)
1792 "1jf693q0nw0adsic6cgmbdx6g7wr4rj4vxa8j1hpn792fqhd8wgw")))))
1794 ,(let ((version "1.8.0"))
1797 (uri (string-append "https://mirror.bazel.build/github.com/NVlabs/"
1798 "cub/archive/" version ".zip"))
1799 (file-name (string-append "cub-" version ".zip"))
1802 "1hsqikqridb90dkxkjr2918dcry6pfh46ccnwrzawl56aamhdykb")))))
1803 ("double-conversion-src"
1804 ,(let ((commit "5664746")
1809 (url "https://github.com/google/double-conversion")
1812 (git-file-name "double-conversion"
1813 (string-append "0-" revision "."
1814 (string-take commit 7))))
1817 "1h5lppqqxcvdg5jq42i5msgwx20ryij3apvmndflngrgdpc04gn1")))))
1819 ,(let ((commit "816a4ae622e964763ca0862d9dbd19324a1eaf45"))
1823 "https://mirror.bazel.build/github.com/google/farmhash/archive/"
1825 (file-name (string-append "farmhash-0-" (string-take commit 7)
1829 "185b2xdxl4d4cnsnv6abg8s22gxvx8673jq2yaq85bz4cdy58q35")))))
1830 ;; The license notice on the home page at
1831 ;; http://www.kurims.kyoto-u.ac.jp/~ooura/fft.html says:
1832 ;; Copyright Takuya OOURA, 1996-2001
1834 ;; You may use, copy, modify and distribute this code for any purpose
1835 ;; (include commercial use) and without fee. Please refer to this
1836 ;; package when you modify this code.
1838 ;; We take the identical tarball from the Bazel mirror, because the URL
1839 ;; at the home page is not versioned and might change.
1843 (uri "https://mirror.bazel.build/www.kurims.kyoto-u.ac.jp/~ooura/fft.tgz")
1844 (file-name "fft2d.tar.gz")
1847 "15jjkfvhqvl2c0753d2di8hz0pyzn598g74wqy79awdrf1y67fsj"))))
1849 ,(let ((commit "be5edafc2e1a455768e260ccd68ae7317b6690ee")
1854 (url "https://github.com/google/highwayhash")
1856 (file-name (string-append "highwayhash-0-" revision
1857 (string-take commit 7)
1861 "154jwf98cyy54hldr94pgjn85zynly3abpnc1avmb8a18lzwjyb6")))))
1863 ,(let ((version "0559ce013feac8db639ee1bf776aca0325d28777")
1867 (uri (string-append "https://mirror.bazel.build/"
1868 "github.com/google/nsync/archive/"
1870 (file-name (string-append "nsync-0." revision
1871 "-" (string-take version 7)
1875 "0qdkyqym34x739mmzv97ah5r7ph462v5xkxqxvidmcfqbi64b132")))))
1877 ,(let ((commit "e7efc48")
1882 (url "https://github.com/google/re2")
1884 (file-name (string-append "re2-0-" revision
1885 (string-take commit 7)
1889 "161g9841rjfsy5pn52fcis0s9hdr7rxvb06pad38j5rppfihvign")))))
1890 ("googletest" ,googletest)
1894 `(("python-absl-py" ,python-absl-py)
1895 ("python-astor" ,python-astor)
1896 ("python-gast" ,python-gast)
1897 ("python-grpcio" ,python-grpcio)
1898 ("python-numpy" ,python-numpy)
1899 ("python-protobuf" ,python-protobuf-3.6)
1900 ("python-six" ,python-six)
1901 ("python-termcolo" ,python-termcolor)
1902 ("python-wheel" ,python-wheel)))
1904 `(("c-ares" ,c-ares)
1905 ("eigen" ,eigen-for-tensorflow)
1906 ("gemmlowp" ,gemmlowp-for-tensorflow)
1908 ("libjpeg" ,libjpeg-turbo)
1911 ("grpc" ,grpc-1.16.1 "static")
1912 ("grpc:bin" ,grpc-1.16.1)
1913 ("jsoncpp" ,jsoncpp-for-tensorflow)
1916 ("protobuf" ,protobuf-3.6)
1917 ("python" ,python-wrapper)
1919 (home-page "https://tensorflow.org")
1920 (synopsis "Machine learning framework")
1922 "TensorFlow is a flexible platform for building and training machine
1923 learning models. It provides a library for high performance numerical
1924 computation and includes high level Python APIs, including both a sequential
1925 API for beginners that allows users to build models quickly by plugging
1926 together building blocks and a subclassing API with an imperative style for
1927 advanced research.")
1928 (license license:asl2.0)))
1930 (define-public python-iml
1937 (uri (pypi-uri "iml" version))
1940 "1k8szlpm19rcwcxdny9qdm3gmaqq8akb4xlvrzyz8c2d679aak6l"))))
1941 (build-system python-build-system)
1943 `(("ipython" ,python-ipython)
1944 ("numpy" ,python-numpy)
1945 ("pandas" ,python-pandas)
1946 ("scipy" ,python-scipy)))
1948 `(("nose" ,python-nose)))
1949 (home-page "https://github.com/interpretable-ml/iml")
1950 (synopsis "Interpretable Machine Learning (iML) package")
1951 (description "Interpretable ML (iML) is a set of data type objects,
1952 visualizations, and interfaces that can be used by any method designed to
1953 explain the predictions of machine learning models (or really the output of
1954 any function). It currently contains the interface and IO code from the Shap
1955 project, and it will potentially also do the same for the Lime project.")
1956 (license license:expat)))
1958 (define-public python-keras-applications
1960 (name "python-keras-applications")
1965 (uri (pypi-uri "Keras_Applications" version))
1968 "1rcz31ca4axa6kzhjx4lwqxbg4wvlljkj8qj9a7p9sfd5fhzjyam"))))
1969 (build-system python-build-system)
1970 ;; The tests require Keras, but this package is needed to build Keras.
1971 (arguments '(#:tests? #f))
1973 `(("python-h5py" ,python-h5py)
1974 ("python-numpy" ,python-numpy)))
1976 `(("python-pytest" ,python-pytest)
1977 ("python-pytest-cov" ,python-pytest-cov)
1978 ("python-pytest-pep8" ,python-pytest-pep8)
1979 ("python-pytest-xdist" ,python-pytest-xdist)))
1980 (home-page "https://github.com/keras-team/keras-applications")
1981 (synopsis "Reference implementations of popular deep learning models")
1983 "This package provides reference implementations of popular deep learning
1984 models for use with the Keras deep learning framework.")
1985 (license license:expat)))
1987 (define-public python-keras-preprocessing
1989 (name "python-keras-preprocessing")
1994 (uri (pypi-uri "Keras_Preprocessing" version))
1997 "1r98nm4k1svsqjyaqkfk23i31bl1kcfcyp7094yyj3c43phfp3as"))))
1998 (build-system python-build-system)
2000 `(("python-numpy" ,python-numpy)
2001 ("python-six" ,python-six)))
2003 `(("python-pandas" ,python-pandas)
2004 ("python-pillow" ,python-pillow)
2005 ("python-pytest" ,python-pytest)
2006 ("python-pytest-cov" ,python-pytest-cov)
2007 ("python-pytest-xdist" ,python-pytest-xdist)
2008 ("tensorflow" ,tensorflow)))
2009 (home-page "https://github.com/keras-team/keras-preprocessing/")
2010 (synopsis "Data preprocessing and augmentation for deep learning models")
2012 "Keras Preprocessing is the data preprocessing and data augmentation
2013 module of the Keras deep learning library. It provides utilities for working
2014 with image data, text data, and sequence data.")
2015 (license license:expat)))
2017 (define-public python-keras
2019 (name "python-keras")
2024 (uri (pypi-uri "Keras" version))
2025 (patches (search-patches "python-keras-integration-test.patch"))
2028 "1j8bsqzh49vjdxy6l1k4iwax5vpjzniynyd041xjavdzvfii1dlh"))))
2029 (build-system python-build-system)
2032 (modify-phases %standard-phases
2033 (add-after 'unpack 'remove-tests-for-unavailable-features
2035 (delete-file "keras/backend/theano_backend.py")
2036 (delete-file "keras/backend/cntk_backend.py")
2037 (delete-file "tests/keras/backend/backend_test.py")
2039 ;; FIXME: This doesn't work because Tensorflow is missing the
2040 ;; coder ops library.
2041 (delete-file "tests/keras/test_callbacks.py")
2045 ;; These tests attempt to download data files from the internet.
2046 (delete-file "tests/integration_tests/test_datasets.py")
2047 (delete-file "tests/integration_tests/imagenet_utils_test.py")
2048 ;; Backport https://github.com/keras-team/keras/pull/12479.
2049 (substitute* "tests/keras/engine/test_topology.py"
2050 (("np.ones\\(\\(3, 2\\)\\)")
2052 (invoke "python" "-m" "pytest"
2053 ;; The following test fail only in the build container;
2055 "-k" "not test_selu"))))))
2057 `(("python-h5py" ,python-h5py)
2058 ("python-keras-applications" ,python-keras-applications)
2059 ("python-keras-preprocessing" ,python-keras-preprocessing)
2060 ("python-numpy" ,python-numpy)
2061 ("python-pydot" ,python-pydot)
2062 ("python-pyyaml" ,python-pyyaml)
2063 ("python-scipy" ,python-scipy)
2064 ("python-six" ,python-six)
2065 ("tensorflow" ,tensorflow)
2066 ("graphviz" ,graphviz)))
2068 `(("python-pandas" ,python-pandas)
2069 ("python-pytest" ,python-pytest)
2070 ("python-pytest-cov" ,python-pytest-cov)
2071 ("python-pytest-pep8" ,python-pytest-pep8)
2072 ("python-pytest-timeout" ,python-pytest-timeout)
2073 ("python-pytest-xdist" ,python-pytest-xdist)
2074 ("python-sphinx" ,python-sphinx)
2075 ("python-requests" ,python-requests)))
2076 (home-page "https://github.com/keras-team/keras")
2077 (synopsis "High-level deep learning framework")
2078 (description "Keras is a high-level neural networks API, written in Python
2079 and capable of running on top of TensorFlow. It was developed with a focus on
2080 enabling fast experimentation. Use Keras if you need a deep learning library
2084 @item Allows for easy and fast prototyping (through user friendliness,
2085 modularity, and extensibility).
2086 @item Supports both convolutional networks and recurrent networks, as well as
2087 combinations of the two.
2088 @item Runs seamlessly on CPU and GPU.
2090 (license license:expat)))
2093 (let ((version "0.0.0") ; no proper version tag
2094 (commit "ca528e32fea9ca8f2b16053cff17160290fc84ce")
2098 (version (git-version version revision commit))
2103 (url "https://github.com/facebookincubator/gloo")
2105 (file-name (git-file-name name version))
2108 "1q9f80zy75f6njrzrqkmhc0g3qxs4gskr7ns2jdqanxa2ww7a99w"))))
2109 (build-system cmake-build-system)
2111 `(("googletest" ,googletest)))
2113 `(#:configure-flags '("-DBUILD_TEST=1")
2115 (modify-phases %standard-phases
2118 (invoke "make" "gloo_test")
2120 (synopsis "Collective communications library")
2122 "Gloo is a collective communications library. It comes with a
2123 number of collective algorithms useful for machine learning applications.
2124 These include a barrier, broadcast, and allreduce.")
2125 (home-page "https://github.com/facebookincubator/gloo")
2126 (license license:bsd-3))))
2128 (define-public python-umap-learn
2130 (name "python-umap-learn")
2135 (uri (pypi-uri "umap-learn" version))
2138 "02ada2yy6km6zgk2836kg1c97yrcpalvan34p8c57446finnpki1"))))
2139 (build-system python-build-system)
2141 `(("python-joblib" ,python-joblib)
2142 ("python-nose" ,python-nose)))
2144 `(("python-numba" ,python-numba)
2145 ("python-numpy" ,python-numpy)
2146 ("python-scikit-learn" ,python-scikit-learn)
2147 ("python-scipy" ,python-scipy)))
2148 (home-page "https://github.com/lmcinnes/umap")
2150 "Uniform Manifold Approximation and Projection")
2152 "Uniform Manifold Approximation and Projection is a dimension reduction
2153 technique that can be used for visualisation similarly to t-SNE, but also for
2154 general non-linear dimension reduction.")
2155 (license license:bsd-3)))