48 lines
1.5 KiB
Ruby
48 lines
1.5 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/3.11.0.tar.gz"
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sha256 "c345b1495bc2ed421e2ef7d68357fd9683e59543c6b8136751fcaca7255effa9"
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license "MIT"
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livecheck do
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url :stable
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strategy :github_latest
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end
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bottle do
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sha256 cellar: :any_skip_relocation, arm64_big_sur: "595fc89f4b885f2a287c16d6d83defde0ae43c7adcb468c09d730d4f00f9c13f"
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sha256 cellar: :any_skip_relocation, big_sur: "1be29b1e89c907084a0182fb5f83307691d971b5efa0c1c9d58381cf655703c9"
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sha256 cellar: :any_skip_relocation, catalina: "acd40e92b2be8576c819da3c10fd49cbbfa06d98ab83ea1c9e9ff90f2151de85"
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sha256 cellar: :any_skip_relocation, mojave: "5a9a3bcd12b525f2cfa9be7c819a283a36a0ecbc78b96cc45fb10b3ea610e9b2"
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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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