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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-03-21 17:19:04 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-03-21 17:19:04 +0000 |
commit | 310edf444908b09ea6d00c03baceb7925f3bb7a2 (patch) | |
tree | 7064577c7fa7a851e2e930beb606ea8237b0bbd2 /ml/dlib/dlib/test/probabilistic.cpp | |
parent | Releasing debian version 1.44.3-2. (diff) | |
download | netdata-310edf444908b09ea6d00c03baceb7925f3bb7a2.tar.xz netdata-310edf444908b09ea6d00c03baceb7925f3bb7a2.zip |
Merging upstream version 1.45.0.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'ml/dlib/dlib/test/probabilistic.cpp')
-rw-r--r-- | ml/dlib/dlib/test/probabilistic.cpp | 123 |
1 files changed, 0 insertions, 123 deletions
diff --git a/ml/dlib/dlib/test/probabilistic.cpp b/ml/dlib/dlib/test/probabilistic.cpp deleted file mode 100644 index e8a24829a..000000000 --- a/ml/dlib/dlib/test/probabilistic.cpp +++ /dev/null @@ -1,123 +0,0 @@ -// Copyright (C) 2011 Davis E. King (davis@dlib.net) -// License: Boost Software License See LICENSE.txt for the full license. - - -#include <dlib/matrix.h> -#include <sstream> -#include <string> -#include <cstdlib> -#include <ctime> -#include <vector> -#include "../stl_checked.h" -#include "../array.h" -#include "../rand.h" -#include "checkerboard.h" -#include <dlib/statistics.h> - -#include "tester.h" -#include <dlib/svm_threaded.h> - - -namespace -{ - - using namespace test; - using namespace dlib; - using namespace std; - - logger dlog("test.probabilistic"); - -// ---------------------------------------------------------------------------------------- - - class test_probabilistic : public tester - { - public: - test_probabilistic ( - ) : - tester ("test_probabilistic", - "Runs tests on the probabilistic trainer adapter.") - {} - - void perform_test ( - ) - { - print_spinner(); - - - typedef double scalar_type; - typedef matrix<scalar_type,2,1> sample_type; - - std::vector<sample_type> x; - std::vector<matrix<double,0,1> > x_linearized; - std::vector<scalar_type> y; - - get_checkerboard_problem(x,y, 1000, 2); - - random_subset_selector<sample_type> rx; - random_subset_selector<scalar_type> ry; - rx.set_max_size(x.size()); - ry.set_max_size(x.size()); - - dlog << LINFO << "pos labels: "<< sum(mat(y) == +1); - dlog << LINFO << "neg labels: "<< sum(mat(y) == -1); - - for (unsigned long i = 0; i < x.size(); ++i) - { - rx.add(x[i]); - ry.add(y[i]); - } - - const scalar_type gamma = 2.0; - - typedef radial_basis_kernel<sample_type> kernel_type; - - krr_trainer<kernel_type> krr_trainer; - krr_trainer.use_classification_loss_for_loo_cv(); - krr_trainer.set_kernel(kernel_type(gamma)); - krr_trainer.set_basis(randomly_subsample(x, 100)); - probabilistic_decision_function<kernel_type> df; - - dlog << LINFO << "cross validation: " << cross_validate_trainer(krr_trainer, rx,ry, 4); - print_spinner(); - - running_stats<scalar_type> rs_pos, rs_neg; - - print_spinner(); - df = probabilistic(krr_trainer,3).train(x, y); - for (unsigned long i = 0; i < x.size(); ++i) - { - if (y[i] > 0) - rs_pos.add(df(x[i])); - else - rs_neg.add(df(x[i])); - } - dlog << LINFO << "rs_pos.mean(): "<< rs_pos.mean(); - dlog << LINFO << "rs_neg.mean(): "<< rs_neg.mean(); - DLIB_TEST_MSG(rs_pos.mean() > 0.95, rs_pos.mean()); - DLIB_TEST_MSG(rs_neg.mean() < 0.05, rs_neg.mean()); - rs_pos.clear(); - rs_neg.clear(); - - - print_spinner(); - df = probabilistic(krr_trainer,3).train(rx, ry); - for (unsigned long i = 0; i < x.size(); ++i) - { - if (y[i] > 0) - rs_pos.add(df(x[i])); - else - rs_neg.add(df(x[i])); - } - dlog << LINFO << "rs_pos.mean(): "<< rs_pos.mean(); - dlog << LINFO << "rs_neg.mean(): "<< rs_neg.mean(); - DLIB_TEST_MSG(rs_pos.mean() > 0.95, rs_pos.mean()); - DLIB_TEST_MSG(rs_neg.mean() < 0.05, rs_neg.mean()); - rs_pos.clear(); - rs_neg.clear(); - - } - } a; - -} - - |