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/dports/science/pybrain/pybrain-0.3.3/pybrain/tools/
H A Dneuralnets.py77 NetworkWriter.writeToFile(self.Trainer.module, fname)
96 self.Trainer = trainer(FNN, dataset=self.DS, **trnargs)
103 assert isinstance(self.Trainer, Trainer)
119 self.Trainer.trainEpochs(inc)
135 bestweights = self.Trainer.module.params.copy()
155 self.Trainer.module.params[:] = bestweights.copy()
202 self.Trainer = trainer(FNN, dataset=self.DS, **trnargs)
217 self.Trainer = trainer(RNN, dataset=self.DS, **trnargs)
223 assert isinstance(self.Trainer, Trainer)
239 self.Trainer.trainEpochs(inc)
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/dports/japanese/zinnia/zinnia-0.06/swig/
H A Dzinnia.i17 %feature("notabstract") zinnia::Trainer;
21 %extend zinnia::Trainer { Trainer(void); }
37 void delete_zinnia_Trainer (zinnia::Trainer *t) { in delete_zinnia_Trainer()
42 zinnia::Trainer* new_zinnia_Trainer () { in new_zinnia_Trainer()
43 return zinnia::Trainer::create(); in new_zinnia_Trainer()
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python/unittest/
H A Dtest_gluon_trainer.py40 trainer0 = gluon.Trainer([x], 'sgd')
47 trainer1 = gluon.Trainer([x], 'sgd')
53 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 1.0, 'momentum': 0.5})
80 invalid_trainer = gluon.Trainer([x], 'sgd', kvstore=kv, update_on_kvstore=True)
87 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 1.0, 'momentum': 0.5})
122 trainer2 = gluon.Trainer([x], 'sgd', {'learning_rate': 1.0, 'momentum': 0.5},
142 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 0.1})
161 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 0.1})
196 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 1})
259 trainer = gluon.Trainer(params, 'sgd', {'learning_rate': 0.1},
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H A Dtest_gluon_estimator.py63 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
93 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
141 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
200 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
239 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
333 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
388 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
406 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
428 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
449 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
/dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python/unittest/
H A Dtest_gluon_trainer.py40 trainer0 = gluon.Trainer([x], 'sgd')
47 trainer1 = gluon.Trainer([x], 'sgd')
53 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 1.0, 'momentum': 0.5})
80 invalid_trainer = gluon.Trainer([x], 'sgd', kvstore=kv, update_on_kvstore=True)
87 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 1.0, 'momentum': 0.5})
122 trainer2 = gluon.Trainer([x], 'sgd', {'learning_rate': 1.0, 'momentum': 0.5},
142 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 0.1})
161 trainer = gluon.Trainer([x], 'sgd', {'learning_rate': 0.1})
196 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 1})
259 trainer = gluon.Trainer(params, 'sgd', {'learning_rate': 0.1},
[all …]
H A Dtest_gluon_estimator.py63 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
93 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
141 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
200 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
239 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
333 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
388 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
406 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
428 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
449 trainer = gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.001})
/dports/biology/py-biopython/biopython-1.79/Tests/
H A Dtest_HMMCasino.py29 from Bio.HMM import Trainer
91 known_training_seq = Trainer.TrainingSequence(self.rolls, self.states)
93 trainer = Trainer.KnownStateTrainer(standard_mm)
106 training_seq = Trainer.TrainingSequence(self.rolls, ())
120 trainer = Trainer.BaumWelchTrainer(baum_welch_mm)
H A Dtest_HMMGeneral.py24 from Bio.HMM import Trainer
38 training_seq = Trainer.TrainingSequence(emission_seq, state_seq)
45 training_seq = Trainer.TrainingSequence(emission_seq, state_seq)
53 Trainer.TrainingSequence(emission_seq, state_seq)
369 training_seq = Trainer.TrainingSequence(emission_seq, state_seq)
384 self.test_trainer = Trainer.AbstractTrainer(hmm)
/dports/emulators/nestopia/nestopia-1.51.1/source/core/board/
H A DNstBoardFfe.hpp86 struct Trainer struct in Nes::Core::Boards::Ffe
88 explicit Trainer(const Ram&);
101 const Trainer trainer;
H A DNstBoardFfe.cpp40 Ffe::Trainer::Trainer(const Ram& ram) in Trainer() function in Nes::Core::Boards::Ffe::Trainer
76 if (trainer.available && board.GetWram() >= 0x1000 + Trainer::SIZE) in SubReset()
77 std::memcpy( wrk.Source().Mem(0x1000), trainer.data, Trainer::SIZE ); in SubReset()
/dports/math/py-optuna/optuna-2.10.0/optuna/integration/
H A Dpytorch_lightning.py8 from pytorch_lightning import Trainer
14 Trainer = object # type: ignore # NOQA variable
43 def on_validation_end(self, trainer: Trainer, pl_module: LightningModule) -> None: argument
/dports/games/libretro-nestopia/nestopia-2b0315c/source/core/board/
H A DNstBoardFfe.hpp86 struct Trainer struct in Nes::Core::Boards::Ffe
88 explicit Trainer(const Ram&);
101 const Trainer trainer;
H A DNstBoardFfe.cpp40 Ffe::Trainer::Trainer(const Ram& ram) in Trainer() function in Nes::Core::Boards::Ffe::Trainer
76 if (trainer.available && board.GetWram() >= 0x1000 + Trainer::SIZE) in SubReset()
77 std::memcpy( wrk.Source().Mem(0x1000), trainer.data, Trainer::SIZE ); in SubReset()
/dports/japanese/zinnia/zinnia-0.06/
H A Dlibzinnia.cpp38 zinnia::Trainer *ptr;
199 trainer->ptr = zinnia::Trainer::create(); in zinnia_trainer_new()
229 return zinnia::Trainer::convert(txt_model, binary_model, in zinnia_trainer_convert_model()
236 return zinnia::Trainer::makeHeader(txt_model, header_file, in zinnia_trainer_make_header()
340 zinnia::scoped_ptr<zinnia::Trainer> trainer(zinnia::Trainer::create()); in zinnia_learn()
394 CHECK_DIE(zinnia::Trainer::makeHeader(text_file.c_str(), model_file.c_str(), in zinnia_convert()
400 CHECK_DIE(zinnia::Trainer::convert(text_file.c_str(), model_file.c_str(), c)); in zinnia_convert()
H A Dtrainer.cpp88 class TrainerImpl: public Trainer {
173 bool Trainer::makeHeader(const char *text_filename, in makeHeader()
271 bool Trainer::convert(const char *text_filename, in convert()
333 Trainer *createTrainer() { in createTrainer()
337 Trainer *Trainer::create() { in create()
/dports/www/chromium-legacy/chromium-88.0.4324.182/chrome/browser/chromeos/power/auto_screen_brightness/
H A Dmodeller_impl.h79 std::unique_ptr<Trainer> trainer);
109 std::unique_ptr<Trainer> trainer,
140 std::unique_ptr<Trainer> trainer,
233 std::unique_ptr<Trainer, base::OnTaskRunnerDeleter> trainer_;
H A Dtrainer.h27 class Trainer {
29 virtual ~Trainer() = default;
/dports/devel/py-naiveBayesClassifier/naiveBayesClassifier-0.1.3/naiveBayesClassifier/
H A Dtrainer.py3 class Trainer(object): class
7 super(Trainer, self).__init__()
/dports/misc/mxnet/incubator-mxnet-1.9.0/scala-package/examples/src/main/scala/org/apache/mxnetexamples/imclassification/util/
H A DTrainer.scala25 object Trainer { object
26 private val logger = LoggerFactory.getLogger(classOf[Trainer])
134 class Trainer class
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/scala-package/examples/src/main/scala/org/apache/mxnetexamples/imclassification/util/
H A DTrainer.scala25 object Trainer { object
26 private val logger = LoggerFactory.getLogger(classOf[Trainer])
134 class Trainer class
/dports/games/scourge-data/scourge_data/maps/
H A Dlibrary1.cfg11 name="Korga the Trainer"
12 display_name=_( "Korga the Trainer" )
/dports/archivers/zip-ada/zip-ada/trained/
H A Dtrainer.adb47 procedure Trainer is subprogram
91 end Trainer; argument
/dports/misc/mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/t/
H A Dtest_gluon_trainer.t35 my $trainer0 = gluon->Trainer([$x], 'sgd');
42 dies_ok(sub { gluon->Trainer([$x], 'sgd') });
56 my $trainer = gluon->Trainer([$x], 'sgd', {'learning_rate'=> 1.0, 'momentum'=> 0.5});
112 my $trainer2 = gluon->Trainer([$x], 'sgd', {learning_rate => 1.0, momentum => 0.5},
136 my $trainer = gluon->Trainer([$x], 'sgd', {learning_rate => 0.1});
184 my $trainer = gluon->Trainer($net->collect_params(), 'sgd', {learning_rate => 1});
222 my $trainer = gluon->Trainer($params, 'sgd', {learning_rate => 0.1}, kvstore=>$kv);
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/t/
H A Dtest_gluon_trainer.t35 my $trainer0 = gluon->Trainer([$x], 'sgd');
42 dies_ok(sub { gluon->Trainer([$x], 'sgd') });
56 my $trainer = gluon->Trainer([$x], 'sgd', {'learning_rate'=> 1.0, 'momentum'=> 0.5});
112 my $trainer2 = gluon->Trainer([$x], 'sgd', {learning_rate => 1.0, momentum => 0.5},
136 my $trainer = gluon->Trainer([$x], 'sgd', {learning_rate => 0.1});
184 my $trainer = gluon->Trainer($net->collect_params(), 'sgd', {learning_rate => 1});
222 my $trainer = gluon->Trainer($params, 'sgd', {learning_rate => 0.1}, kvstore=>$kv);
/dports/misc/py-gluoncv/gluon-cv-0.9.0/scripts/depth/
H A Dtrain.py13 from trainer import Trainer
33 trainer = Trainer(opts, logger)

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