43 lines
1.2 KiB
Ruby
43 lines
1.2 KiB
Ruby
class Rgf < Formula
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desc "Regularized Greedy Forest library"
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homepage "https://github.com/RGF-team/rgf"
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url "https://github.com/RGF-team/rgf/archive/3.9.0.tar.gz"
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sha256 "78ccd04dfcb610094393e8463e01e6933d9ff15ed08024e6088daf7ab0e94a97"
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license "MIT"
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bottle do
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cellar :any_skip_relocation
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sha256 "6de68732658233225c9b6bac4d685e9e11a51748f140e3213dee4bbda47f0a14" => :catalina
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sha256 "4ec45f0308dbbe42ddb35ada76473f5d9cead2fb118fa5d71a5ef3a8ce684435" => :mojave
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sha256 "8887ef17fd595310b43d6ef940a28608fced9c828f012a0d991929c8d44a0ab4" => :high_sierra
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end
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depends_on "cmake" => :build
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def install
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cd "RGF" do
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mkdir "build" do
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system "cmake", *std_cmake_args, ".."
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system "make"
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system "make", "install" # installs to bin/rgf
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end
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bin.install "bin/rgf"
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pkgshare.install "examples"
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end
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end
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test do
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cp_r (pkgshare/"examples/sample/."), testpath
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parameters = %w[
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algorithm=RGF
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train_x_fn=train.data.x
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train_y_fn=train.data.y
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test_x_fn=test.data.x
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reg_L2=1
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model_fn_prefix=rgf.model
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]
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output = shell_output("#{bin}/rgf train_predict #{parameters.join(",")}")
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assert_match "Generated 20 model file(s)", output
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end
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end
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