41 lines
1.4 KiB
Ruby
41 lines
1.4 KiB
Ruby
class Libsvm < Formula
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homepage "https://www.csie.ntu.edu.tw/~cjlin/libsvm/"
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url "https://www.csie.ntu.edu.tw/~cjlin/libsvm/libsvm-3.20.tar.gz"
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sha256 "0f122480bef44dec4df6dae056f468c208e4e08c00771ec1b6dae2707fd945be"
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bottle do
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cellar :any
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sha1 "9a87d885fd4d943448c9107fe572ed0b5687bf5b" => :yosemite
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sha1 "8fcd71c75841c4def48a4f57312ab5aae4ee628e" => :mavericks
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sha1 "90e7456fa54524a2a12f563ae3e9bcab57d6ade7" => :mountain_lion
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end
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def install
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system "make", "CFLAGS=#{ENV.cflags}"
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system "make", "lib"
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bin.install "svm-scale", "svm-train", "svm-predict"
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lib.install "libsvm.so.2" => "libsvm.2.dylib"
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lib.install_symlink "libsvm.2.dylib" => "libsvm.dylib"
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system "install_name_tool", "-id", "#{lib}/libsvm.2.dylib", "#{lib}/libsvm.2.dylib"
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include.install "svm.h"
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end
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test do
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(testpath/"train_classification.txt").write <<-EOS.undent
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+1 201:1.2 3148:1.8 3983:1 4882:1
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-1 874:0.3 3652:1.1 3963:1 6179:1
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+1 1168:1.2 3318:1.2 3938:1.8 4481:1
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+1 350:1 3082:1.5 3965:1 6122:0.2
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-1 99:1 3057:1 3957:1 5838:0.3
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EOS
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(testpath/"train_regression.txt").write <<-EOS.undent
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0.23 201:1.2 3148:1.8 3983:1 4882:1
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0.33 874:0.3 3652:1.1 3963:1 6179:1
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-0.12 1168:1.2 3318:1.2 3938:1.8 4481:1
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EOS
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system "#{bin}/svm-train", "-s", "0", "train_classification.txt"
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system "#{bin}/svm-train", "-s", "3", "train_regression.txt"
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end
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end
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