Function do_test

dlib/test/sequence_labeler.cpp:283–382

    template <typename fe_type>
    void do_test()
    {
        called_rejct_labeling = false;

        matrix<double> transition_probabilities(num_label_states, num_label_states);
        transition_probabilities = 0.05, 0.90, 0.05,
        0.05, 0.05, 0.90,
        0.90, 0.05, 0.05;

        matrix<double> emission_probabilities(num_label_states,num_sample_states);
        emission_probabilities = 0.5, 0.5, 0.0,
        0.0, 0.5, 0.5,
        0.5, 0.0, 0.5;

        print_spinner();


        std::vector<funny_sequence> samples;
        std::vector<std::vector<unsigned long> > labels;
        make_dataset(transition_probabilities,emission_probabilities, 
                     samples, labels, 1000);

        dlog << LINFO << "samples.size(): "<< samples.size();

        // print out some of the randomly sampled sequences
        for (int i = 0; i < 10; ++i)
        {
            dlog << LINFO << "hidden states:   " << trans(mat(labels[i]));
            dlog << LINFO << "observed states: " << trans(mat(samples[i].item));
            dlog << LINFO << "******************************";
        }

        print_spinner();
        structural_sequence_labeling_trainer<fe_type> trainer;
        trainer.set_c(4);
        DLIB_TEST(trainer.get_c() == 4);
        trainer.set_num_threads(4);
        DLIB_TEST(trainer.get_num_threads() == 4);



        // Learn to do sequence labeling from the dataset
        sequence_labeler<fe_type> labeler = trainer.train(samples, labels);

        std::vector<unsigned long> predicted_labels = labeler(samples[0]);
        dlog << LINFO << "true hidden states:      "<< trans(mat(labels[0]));
        dlog << LINFO << "predicted hidden states: "<< trans(mat(predicted_labels));

        DLIB_TEST(mat(labels[0]) == mat(predicted_labels));


        print_spinner();


        // We can also do cross-validation 
        matrix<double> confusion_matrix;
        confusion_matrix = cross_validate_sequence_labeler(trainer, samples, labels, 4);
        dlog << LINFO << "cross-validation: ";