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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
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