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/dports/science/py-dlib/dlib-19.22/dlib/test/
H A Dsvm_struct.cpp170 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()
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/dports/science/dlib-cpp/dlib-19.22/dlib/test/
H A Dsvm_struct.cpp170 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()
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/dports/science/py-dlib/dlib-19.22/dlib/svm/
H A Dcross_validate_multiclass_trainer.h36 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()
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H A Done_vs_one_trainer.h103 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
H A Done_vs_all_trainer.h101 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
H A Dsvm_multiclass_linear_trainer.h318 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()
H A Dsvm_multiclass_linear_trainer_abstract.h226 const std::vector<label_type>& all_labels
246 const std::vector<label_type>& all_labels,
/dports/science/dlib-cpp/dlib-19.22/dlib/svm/
H A Dcross_validate_multiclass_trainer.h36 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()
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H A Done_vs_one_trainer.h103 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
H A Done_vs_all_trainer.h101 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
H A Dsvm_multiclass_linear_trainer.h318 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()
/dports/print/R-cran-knitr/knitr/man/
H A Dall_labels.Rd3 \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")
/dports/math/py-arviz/arviz-0.11.4/arviz/plots/
H A Ddensityplot.py203 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,
/dports/sysutils/ansible2/ansible-2.9.27/lib/ansible/modules/cloud/ovirt/
H A Dovirt_affinity_label_info.py131 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
H A D_ovirt_affinity_label_facts.py131 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
/dports/sysutils/ansible/ansible-4.7.0/ansible_collections/ovirt/ovirt/plugins/modules/
H A Dovirt_affinity_label_info.py133 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
/dports/textproc/p5-Algorithm-CheckDigits/Algorithm-CheckDigits-v1.3.5/cgi-bin/
H A Dcheckdigits.cgi14 my %all_labels;
23 %all_labels = Algorithm::CheckDigits::method_descriptions(@all_algorithms);
42 -labels => \%all_labels),
/dports/math/faiss/faiss-1.7.1/faiss/
H A DIndexShards.cpp52 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()
/dports/comms/gnuradio/gnuradio-3.8.4.0/gr-qtgui/grc/
H A Dqtgui_chooser.block.yml119 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}
/dports/lang/spidermonkey78/firefox-78.9.0/taskcluster/taskgraph/test/
H A Dtest_optimize_strategies.py266 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
/dports/www/firefox-esr/firefox-91.8.0/taskcluster/taskgraph/test/
H A Dtest_optimize_strategies.py447 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
/dports/www/firefox/firefox-99.0/taskcluster/gecko_taskgraph/test/
H A Dtest_optimize_strategies.py448 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
/dports/mail/thunderbird/thunderbird-91.8.0/taskcluster/taskgraph/test/
H A Dtest_optimize_strategies.py447 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
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/unit_test/
H A Dh5py_console_extract.py349 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:]
/dports/math/cgal/CGAL-5.3/include/CGAL/
H A DPolygonal_schema.h559 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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