/dports/science/py-dlib/dlib-19.22/dlib/test/ |
H A D | svm_struct.cpp | 170 const std::vector<label_type>& all_labels in train() 179 const std::vector<label_type>& all_labels, in train() argument 196 … std::vector<label_type> labels1(all_labels.begin(), all_labels.begin()+all_labels.size()/2); in train() 197 … std::vector<label_type> labels2(all_labels.begin()+all_labels.size()/2, all_labels.end()); in train() 223 df.labels = select_all_distinct_labels(all_labels); in train() 264 const std::vector<label_type>& all_labels in train() 273 const std::vector<label_type>& all_labels, in train() argument 345 const std::vector<label_type>& all_labels in train() 354 const std::vector<label_type>& all_labels, in train() argument 426 const std::vector<label_type>& all_labels in train() [all …]
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/dports/science/dlib-cpp/dlib-19.22/dlib/test/ |
H A D | svm_struct.cpp | 170 const std::vector<label_type>& all_labels in train() 179 const std::vector<label_type>& all_labels, in train() argument 196 … std::vector<label_type> labels1(all_labels.begin(), all_labels.begin()+all_labels.size()/2); in train() 197 … std::vector<label_type> labels2(all_labels.begin()+all_labels.size()/2, all_labels.end()); in train() 223 df.labels = select_all_distinct_labels(all_labels); in train() 264 const std::vector<label_type>& all_labels in train() 273 const std::vector<label_type>& all_labels, in train() argument 345 const std::vector<label_type>& all_labels in train() 354 const std::vector<label_type>& all_labels, in train() argument 426 const std::vector<label_type>& all_labels in train() [all …]
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/dports/science/py-dlib/dlib-19.22/dlib/svm/ |
H A D | cross_validate_multiclass_trainer.h | 36 const std::vector<label_type> all_labels = dec_funct.get_labels(); in test_multiclass_decision_function() local 40 for (unsigned long i = 0; i < all_labels.size(); ++i) in test_multiclass_decision_function() 41 label_to_int[all_labels[i]] = i; in test_multiclass_decision_function() 44 res.set_size(all_labels.size(), all_labels.size()); in test_multiclass_decision_function() 99 const std::vector<label_type> all_labels = select_all_distinct_labels(y); in cross_validate_multiclass_trainer() local 133 for (unsigned long i = 0; i < all_labels.size(); ++i) in cross_validate_multiclass_trainer() 134 next_test_idx[all_labels[i]] = 0; in cross_validate_multiclass_trainer() 146 for (unsigned long j = 0; j < all_labels.size(); ++j) in cross_validate_multiclass_trainer() 148 label = all_labels[j]; in cross_validate_multiclass_trainer() 168 for (unsigned long j = 0; j < all_labels.size(); ++j) in cross_validate_multiclass_trainer() [all …]
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H A D | one_vs_one_trainer.h | 103 const std::vector<label_type>& all_labels in train() argument 107 DLIB_ASSERT(is_learning_problem(all_samples,all_labels), in train() 111 << "\n\t all_labels.size(): " << all_labels.size() in train() 114 const std::vector<label_type> distinct_labels = select_all_distinct_labels(all_labels); in train() 140 … parallel_for_helper helper(all_samples,all_labels,default_trainer,trainers,verbose,pairs); in train() 165 all_labels(all_labels_), in parallel_for_helper() 184 if (all_labels[k] == p.first) in operator() 189 else if (all_labels[k] == p.second) in operator() 229 const std::vector<label_type>& all_labels; member
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H A D | one_vs_all_trainer.h | 101 const std::vector<label_type>& all_labels in train() argument 105 DLIB_ASSERT(is_learning_problem(all_samples,all_labels), in train() 109 << "\n\t all_labels.size(): " << all_labels.size() in train() 112 const std::vector<label_type> distinct_labels = select_all_distinct_labels(all_labels); in train() 130 …parallel_for_helper helper(all_samples,all_labels,default_trainer,trainers,verbose,distinct_labels… in train() 154 all_labels(all_labels_), in parallel_for_helper() 172 if (all_labels[k] == l) in operator() 212 const std::vector<label_type>& all_labels; member
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H A D | svm_multiclass_linear_trainer.h | 318 const std::vector<label_type>& all_labels in train() argument 322 return train(all_samples, all_labels, svm_objective); in train() 327 const std::vector<label_type>& all_labels, in train() argument 332 DLIB_ASSERT(is_learning_problem(all_samples,all_labels), in train() 336 << "\n\t all_labels.size(): " << all_labels.size() in train() 340 df.labels = select_all_distinct_labels(all_labels); in train() 365 …multiclass_svm_problem<w_type, sample_type, label_type> problem(all_samples, all_labels, df.labels… in train()
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H A D | svm_multiclass_linear_trainer_abstract.h | 226 const std::vector<label_type>& all_labels 246 const std::vector<label_type>& all_labels,
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/dports/science/dlib-cpp/dlib-19.22/dlib/svm/ |
H A D | cross_validate_multiclass_trainer.h | 36 const std::vector<label_type> all_labels = dec_funct.get_labels(); in test_multiclass_decision_function() local 40 for (unsigned long i = 0; i < all_labels.size(); ++i) in test_multiclass_decision_function() 41 label_to_int[all_labels[i]] = i; in test_multiclass_decision_function() 44 res.set_size(all_labels.size(), all_labels.size()); in test_multiclass_decision_function() 99 const std::vector<label_type> all_labels = select_all_distinct_labels(y); in cross_validate_multiclass_trainer() local 133 for (unsigned long i = 0; i < all_labels.size(); ++i) in cross_validate_multiclass_trainer() 134 next_test_idx[all_labels[i]] = 0; in cross_validate_multiclass_trainer() 146 for (unsigned long j = 0; j < all_labels.size(); ++j) in cross_validate_multiclass_trainer() 148 label = all_labels[j]; in cross_validate_multiclass_trainer() 168 for (unsigned long j = 0; j < all_labels.size(); ++j) in cross_validate_multiclass_trainer() [all …]
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H A D | one_vs_one_trainer.h | 103 const std::vector<label_type>& all_labels in train() argument 107 DLIB_ASSERT(is_learning_problem(all_samples,all_labels), in train() 111 << "\n\t all_labels.size(): " << all_labels.size() in train() 114 const std::vector<label_type> distinct_labels = select_all_distinct_labels(all_labels); in train() 140 … parallel_for_helper helper(all_samples,all_labels,default_trainer,trainers,verbose,pairs); in train() 165 all_labels(all_labels_), in parallel_for_helper() 184 if (all_labels[k] == p.first) in operator() 189 else if (all_labels[k] == p.second) in operator() 229 const std::vector<label_type>& all_labels; member
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H A D | one_vs_all_trainer.h | 101 const std::vector<label_type>& all_labels in train() argument 105 DLIB_ASSERT(is_learning_problem(all_samples,all_labels), in train() 109 << "\n\t all_labels.size(): " << all_labels.size() in train() 112 const std::vector<label_type> distinct_labels = select_all_distinct_labels(all_labels); in train() 130 …parallel_for_helper helper(all_samples,all_labels,default_trainer,trainers,verbose,distinct_labels… in train() 154 all_labels(all_labels_), in parallel_for_helper() 172 if (all_labels[k] == l) in operator() 212 const std::vector<label_type>& all_labels; member
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H A D | svm_multiclass_linear_trainer.h | 318 const std::vector<label_type>& all_labels in train() argument 322 return train(all_samples, all_labels, svm_objective); in train() 327 const std::vector<label_type>& all_labels, in train() argument 332 DLIB_ASSERT(is_learning_problem(all_samples,all_labels), in train() 336 << "\n\t all_labels.size(): " << all_labels.size() in train() 340 df.labels = select_all_distinct_labels(all_labels); in train() 365 …multiclass_svm_problem<w_type, sample_type, label_type> problem(all_samples, all_labels, df.labels… in train()
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/dports/print/R-cran-knitr/knitr/man/ |
H A D | all_labels.Rd | 3 \name{all_labels} 4 \alias{all_labels} 8 all_labels(...) 18 \code{all_labels(purl == TRUE)} will \emph{not} return the labels of all 26 The function \code{all_labels()} returns all chunk labels as a character 29 \code{all_labels(engine == 'Rcpp')}. 44 all_labels() 45 all_labels(engine == "Rcpp") 46 all_labels(echo == FALSE && results != "hide") 48 all_labels(echo == FALSE, results != "hide")
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/dports/math/py-arviz/arviz-0.11.4/arviz/plots/ |
H A D | densityplot.py | 203 all_labels = [] 209 if label not in all_labels: 210 all_labels.append(label) 211 length_plotters = len(all_labels) 221 all_labels = all_labels[:max_plots] 226 if labeller.make_label_vert(var_name, selection, isel) in all_labels 241 all_labels=all_labels,
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/dports/sysutils/ansible2/ansible-2.9.27/lib/ansible/modules/cloud/ovirt/ |
H A D | ovirt_affinity_label_info.py | 131 all_labels = affinity_labels_service.list() 134 l for l in all_labels 143 for label in all_labels 153 for label in all_labels 159 labels = all_labels
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H A D | _ovirt_affinity_label_facts.py | 131 all_labels = affinity_labels_service.list() 134 l for l in all_labels 143 for label in all_labels 153 for label in all_labels 159 labels = all_labels
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/dports/sysutils/ansible/ansible-4.7.0/ansible_collections/ovirt/ovirt/plugins/modules/ |
H A D | ovirt_affinity_label_info.py | 133 all_labels = affinity_labels_service.list() 136 l for l in all_labels 145 for label in all_labels 155 for label in all_labels 161 labels = all_labels
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/dports/textproc/p5-Algorithm-CheckDigits/Algorithm-CheckDigits-v1.3.5/cgi-bin/ |
H A D | checkdigits.cgi | 14 my %all_labels; 23 %all_labels = Algorithm::CheckDigits::method_descriptions(@all_algorithms); 42 -labels => \%all_labels),
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/dports/math/faiss/faiss-1.7.1/faiss/ |
H A D | IndexShards.cpp | 52 const std::vector<idx_t>& all_labels, in merge_tables() argument 72 const idx_t* I_in = all_labels.data() + i * k; in merge_tables() 297 std::vector<idx_t> all_labels(nshard * k * n); in search() local 299 auto fn = [n, k, x, &all_distances, &all_labels]( in search() 310 all_labels.data() + no * k * n); in search() 339 all_labels, in search() 349 all_labels, in search()
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/dports/comms/gnuradio/gnuradio-3.8.4.0/gr-qtgui/grc/ |
H A D | qtgui_chooser.block.yml | 119 all_labels = [ label0(), label1(), label2(), label3(), label4() ][:int(num_opts)] 122 all_labels = labels() 127 if not isinstance(all_labels, list): 128 all_labels = [all_labels] 131 if len(all_labels) == 0: 135 for i, label_ in enumerate(all_labels): 137 all_labels[i] = str(all_options[i]) 143 self._${id}_labels = ${all_labels}
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/dports/lang/spidermonkey78/firefox-78.9.0/taskcluster/taskgraph/test/ |
H A D | test_optimize_strategies.py | 266 all_labels = {t.label for t in default_tasks} 272 assert scheduled == all_labels 283 assert scheduled == all_labels 289 assert scheduled == all_labels 294 assert scheduled == all_labels
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/dports/www/firefox-esr/firefox-91.8.0/taskcluster/taskgraph/test/ |
H A D | test_optimize_strategies.py | 447 all_labels = {t.label for t in default_tasks} 460 assert scheduled == all_labels 464 all_labels = {t.label for t in default_tasks} 478 assert scheduled == all_labels 482 all_labels = {t.label for t in default_tasks} 490 assert scheduled == all_labels 502 assert scheduled == all_labels
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/dports/www/firefox/firefox-99.0/taskcluster/gecko_taskgraph/test/ |
H A D | test_optimize_strategies.py | 448 all_labels = {t.label for t in default_tasks} 461 assert scheduled == all_labels 465 all_labels = {t.label for t in default_tasks} 479 assert scheduled == all_labels 483 all_labels = {t.label for t in default_tasks} 491 assert scheduled == all_labels 503 assert scheduled == all_labels
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/dports/mail/thunderbird/thunderbird-91.8.0/taskcluster/taskgraph/test/ |
H A D | test_optimize_strategies.py | 447 all_labels = {t.label for t in default_tasks} 460 assert scheduled == all_labels 464 all_labels = {t.label for t in default_tasks} 478 assert scheduled == all_labels 482 all_labels = {t.label for t in default_tasks} 490 assert scheduled == all_labels 502 assert scheduled == all_labels
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/unit_test/ |
H A D | h5py_console_extract.py | 349 all_labels = label_line.split()[1:] 354 for label in all_labels: 359 for label in all_labels[num_starts:]: 364 num_funcs = len(all_labels) - num_best - num_starts 365 func_labels = all_labels[num_best + num_starts:] 406 all_labels = label_line.split()[1:] 412 for label in all_labels: 417 num_best = len(all_labels) - num_weights*2 418 for label in all_labels[num_weights:-num_weights]: 421 func_labels = all_labels[-num_weights:]
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/dports/math/cgal/CGAL-5.3/include/CGAL/ |
H A D | Polygonal_schema.h | 559 std::vector<std::string> all_labels(nb_labels*2); 562 all_labels[2*i]=std::to_string(static_cast<int>(i)+1); 563 all_labels[(2*i)+1]=std::to_string(-(static_cast<int>(i)+1)); 566 std::shuffle(all_labels.begin(), all_labels.end(), 569 std::size_t endlabel=all_labels.size(); 571 { endlabel-=(all_labels.size()/10); } // We remove 10% of labels. 580 { ps.add_edges_to_facet(all_labels[i]); }
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