Adding GP regression.
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cmake_minimum_required(VERSION 2.8)
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# the main driver for gp_regression
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add_executable(gp_regression
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EXCLUDE_FROM_ALL
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gp_regression.cc
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)
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# link dependencies of gp_regression
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target_link_libraries(gp_regression
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core
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${Boost_LIBRARIES}
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)
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@@ -0,0 +1,39 @@
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/** @file gp_regression.cc
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*
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* The main driver for the Gaussian process regression.
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*
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* @author Dongryeol Lee (dongryel@cc.gatech.edu)
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*/
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#include <iostream>
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#include <string>
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#include <armadillo>
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#include "gp_regression_dev.h"
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#include "core/tree/gen_metric_tree.h"
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int main(int argc, char *argv[]) {
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// Tree type: hard-coded for a metric tree.
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typedef core::table::Table <
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core::tree::GenMetricTree<core::table::DensePoint> > TableType;
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// Parse arguments for GPR.
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mlpack::gp_regression::GpRegressionArguments<TableType> gpr_arguments;
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mlpack::gp_regression::GpRegression<TableType>::ParseArguments(
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argc, argv, &gpr_arguments);
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// Instantiate a GPR object.
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mlpack::gp_regression::GpRegression<TableType> gpr_instance;
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gpr_instance.Init(gpr_arguments);
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// Compute the result.
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mlpack::gp_regression::GpRegressionResult gpr_result;
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gpr_instance.Compute(gpr_arguments, &gpr_result);
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// Output the GPR result to the file.
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std::cerr << "Writing the regression values to the file: " <<
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gpr_arguments.predictions_out_ << "\n";
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gpr_result.PrintDebug(gpr_arguments.predictions_out_);
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return 0;
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}
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