87 lines
1.7 KiB
Bash
87 lines
1.7 KiB
Bash
SUMMARY="Library for Support Vector Machines"
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DESCRIPTION="
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Libsvm is a simple, easy-to-use, and efficient software for SVM \
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classification and regression. It solves C-SVM classification, nu-SVM \
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classification, one-class-SVM, epsilon-SVM regression, and nu-SVM \
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regression. It also provides an automatic model selection tool for \
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C-SVM classification."
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HOMEPAGE="https://www.csie.ntu.edu.tw/~cjlin/libsvm/"
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COPYRIGHT="2000-2018 Chih-Chung Chang and Chih-Jen Lin"
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LICENSE="BSD (3-clause)"
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REVISION="1"
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SOURCE_URI="https://github.com/cjlin1/libsvm/archive/$portVersion.tar.gz"
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CHECKSUM_SHA256="7a466f90f327a98f8ed1cb217570547bcb00077933d1619f3cb9e73518f38196"
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SOURCE_FILENAME="libsvm-$portVersion.tar.gz"
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SOURCE_DIR="libsvm-323"
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ARCHITECTURES="all"
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PROVIDES="
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libsvm = $portVersion
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lib:libsvm
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"
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REQUIRES="
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haiku
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"
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PROVIDES_devel="
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libsvm_devel = $portVersion
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devel:libsvm
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"
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REQUIRES_devel="
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libsvm == $portVersion base
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"
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PROVIDES_tools="
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libsvm_tools = $portVersion
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cmd:svm_checkdata
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cmd:svm_easy
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cmd:svm_grid
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cmd:svm_predict
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cmd:svm_scale
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cmd:svm_subset
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cmd:svm_train
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"
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REQUIRES_tools="
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haiku
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cmd:python
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"
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BUILD_REQUIRES="
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haiku_devel
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"
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BUILD_PREREQUIRES="
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haiku
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cmd:g++
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cmd:gcc
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cmd:make
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cmd:sed
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"
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BUILD()
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{
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make lib $jobArgs
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make $jobArgs
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}
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INSTALL()
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{
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mkdir -p $binDir
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mkdir -p $libDir
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mkdir -p $includeDir
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cp svm-train $binDir/svm-train
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cp svm-predict $binDir/svm-predict
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cp svm-scale $binDir/svm-scale
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cp tools/checkdata.py $binDir/svm-checkdata
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cp tools/subset.py $binDir/svm-subset
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cp tools/easy.py $binDir/svm-easy
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cp tools/grid.py $binDir/svm-grid
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packageEntries tools $binDir
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cp libsvm.so.2 $libDir
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cp svm.h $includeDir
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prepareInstalledDevelLibs libsvm
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packageEntries devel $developDir
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}
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