File shogun.spec of Package shogun

#
# spec file for package shogun
#
# Copyright (c) 2012 SUSE LINUX Products GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

# Please submit bugfixes or comments via http://bugs.opensuse.org/

Name:           shogun
Version:        2.0.0
Release:        0
License:        GPL-3.0+
Summary:        A large scale machine learning toolbox.
Url:            http://www.shogun-toolbox.org/page/home/
Group:          Development/Libraries/c_c++
Source:         ftp://shogun-toolbox.org/shogun/releases/2.0/sources/%{name}-%{version}.tar.bz2
BuildRequires:  R-base-devel
BuildRequires:  ant-antlr
BuildRequires:  arpack-ng
BuildRequires:  arpack-ng-devel
BuildRequires:  blas-devel
BuildRequires:  cblas-devel
BuildRequires:  doxygen
BuildRequires:  gcc-c++
BuildRequires:  gcc-java
BuildRequires:  glpk-devel
BuildRequires:  hdf5-devel >= 1.8.0
BuildRequires:  lapack-devel
BuildRequires:  lapacke-devel
BuildRequires:  java-devel
BuildRequires:  libbz2-devel
BuildRequires:  libeigen3-devel
BuildRequires:  libjson-devel
BuildRequires:  libscalapack2-openmpi-devel-static
BuildRequires:  libxml2-devel >= 2.7.0
BuildRequires:  lpsolve-devel
BuildRequires:  lua-devel
BuildRequires:  lua-libs
BuildRequires:  lzo-devel
BuildRequires:  mono-devel
BuildRequires:  nlopt-devel
BuildRequires:  octave-devel
BuildRequires:  parpack-openmpi
BuildRequires:  parpack-openmpi-devel
BuildRequires:  python-devel
BuildRequires:  python-numpy-devel
BuildRequires:  python-scipy-weave
BuildRequires:  python-scikit-learn
BuildRequires:  readline-devel
BuildRequires:  ruby-devel
BuildRequires:  superlu-devel
BuildRequires:  swig
BuildRequires:  xz-devel
BuildRoot:      %{_tmppath}/%{name}-%{version}-build

%description
The machine learning toolbox's focus is on large scale kernel methods
and especially on Support Vector Machines (SVM) [1]. It provides a 
generic SVM object interfacing to several different SVM 
implementations, among them the state of the art OCAS [21], 
Liblinear [20], LibSVM [2], SVMLight, [3] SVMLin [4] and GPDT [5]. 

Each of the SVMs can be combined with a variety of kernels. The 
toolbox not only provides efficient implementations of the most 
common kernels, like the Linear, Polynomial, Gaussian and Sigmoid 
Kernel but also comes with a number of recent string kernels as e.g. 
the Locality Improved [6], Fischer [7], TOP [8], Spectrum [9], 
Weighted Degree Kernel (with shifts) [10] [11] [12]. For the latter 
the efficient LINADD [12] optimizations are implemented. 

%prep
%setup -q -n %{name}-%{version}

%build
cd src
./configure --disable-svm-light
make

%install
cd src
%makeinstall

%files
%defattr(-,root,root,-)
%doc README



%changelog