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91 lines
3.2 KiB
91 lines
3.2 KiB
## |
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## liblinear.spec -- OpenPKG RPM Package Specification |
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## Copyright (c) 2000-2020 OpenPKG Project <http://openpkg.org/> |
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## |
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## Permission to use, copy, modify, and distribute this software for |
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## any purpose with or without fee is hereby granted, provided that |
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## the above copyright notice and this permission notice appear in all |
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## copies. |
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## |
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## THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED |
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## WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF |
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## MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. |
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## IN NO EVENT SHALL THE AUTHORS AND COPYRIGHT HOLDERS AND THEIR |
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## CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, |
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## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT |
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## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF |
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## USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND |
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## ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, |
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## OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT |
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## OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF |
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## SUCH DAMAGE. |
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## |
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# package version |
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%define V_opkg 2.30 |
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%define V_dist 230 |
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# package information |
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Name: liblinear |
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Summary: Support Vector Machine (SVM) Library |
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URL: https://www.csie.ntu.edu.tw/~cjlin/liblinear/ |
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Vendor: Chih-Chung Chang, Chih-Jen Lin |
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Packager: OpenPKG Project |
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Distribution: OpenPKG Community |
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Class: EVAL |
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Group: Algorithm |
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License: BSD |
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Version: %{V_opkg} |
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Release: 20190320 |
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# list of sources |
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Source0: https://github.com/cjlin1/liblinear/archive/v%{V_dist}.tar.gz |
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# build information |
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BuildPreReq: OpenPKG, openpkg >= 20160101, gcc, gcc::with_cxx = yes |
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PreReq: OpenPKG, openpkg >= 20160101 |
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%description |
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LIBLINEAR is a linear classifier for data with millions of instances |
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and features. It supports L2-regularized classifiers; L2-loss |
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linear SVM, L1-loss linear SVM, and logistic regression (LR); |
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L1-regularized classifiers; L2-loss linear SVM and logistic |
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regression (LR); L2-regularized support vector regression and |
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L2-loss linear SVR and L1-loss linear SVR. |
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%track |
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prog liblinear = { |
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version = %{V_dist} |
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url = https://github.com/cjlin1/liblinear/releases |
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regex = v(__VER__)\.tar\.gz |
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} |
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%prep |
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%setup -q -n liblinear-%{V_dist} |
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%build |
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%{l_make} %{l_mflags -O} \ |
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CXX="%{l_cxx}" \ |
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CFLAGS="%{l_cxxflags -O}" |
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ar cr liblinear.a linear.o tron.o |
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ranlib liblinear.a |
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%install |
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%{l_shtool} mkdir -f -p -m 755 \ |
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$RPM_BUILD_ROOT%{l_prefix}/bin \ |
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$RPM_BUILD_ROOT%{l_prefix}/include \ |
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$RPM_BUILD_ROOT%{l_prefix}/lib |
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%{l_shtool} install -c -s -m 755 \ |
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train $RPM_BUILD_ROOT%{l_prefix}/bin/linear-train |
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%{l_shtool} install -c -s -m 755 \ |
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predict $RPM_BUILD_ROOT%{l_prefix}/bin/linear-predict |
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%{l_shtool} install -c -m 644 \ |
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linear.h $RPM_BUILD_ROOT%{l_prefix}/include/ |
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%{l_shtool} install -c -m 644 \ |
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liblinear.a $RPM_BUILD_ROOT%{l_prefix}/lib/ |
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%{l_rpmtool} files -v -ofiles -r$RPM_BUILD_ROOT %{l_files_std} |
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%files -f files |
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%clean |
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