| 112 | // ---------------------------------------------------------------------------------------- |
| 113 | |
| 114 | void run_prior_sparse_test() |
| 115 | { |
| 116 | print_spinner(); |
| 117 | typedef std::map<unsigned long,double> sample_type; |
| 118 | typedef sparse_linear_kernel<sample_type> kernel_type; |
| 119 | |
| 120 | svm_rank_trainer<kernel_type> trainer; |
| 121 | |
| 122 | ranking_pair<sample_type> data; |
| 123 | |
| 124 | sample_type samp; |
| 125 | samp[0] = 1; data.relevant.push_back(samp); samp.clear(); |
| 126 | samp[1] = 1; data.nonrelevant.push_back(samp); samp.clear(); |
| 127 | |
| 128 | trainer.set_c(10); |
| 129 | decision_function<kernel_type> df = trainer.train(data); |
| 130 | |
| 131 | trainer.set_prior(df); |
| 132 | |
| 133 | data.relevant.clear(); |
| 134 | data.nonrelevant.clear(); |
| 135 | samp[2] = 1; data.relevant.push_back(samp); samp.clear(); |
| 136 | samp[1] = 1; data.nonrelevant.push_back(samp); samp.clear(); |
| 137 | |
| 138 | df = trainer.train(data); |
| 139 | |
| 140 | matrix<double,0,1> w = sparse_to_dense(df.basis_vectors(0)); |
| 141 | dlog << LINFO << trans(w); |
| 142 | DLIB_TEST(w(0) > 0.1); |
| 143 | DLIB_TEST(w(1) < -0.1); |
| 144 | DLIB_TEST(w(2) > 0.1); |
| 145 | } |
| 146 | |
| 147 | // ---------------------------------------------------------------------------------------- |
| 148 |
no test coverage detected