How to use enable_external_logging method in autotest

Best Python code snippet using autotest_python Github


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...208 @property209 def joint_model_amount(self) -> int:210 return self._get_argument('joint_model_amount')211 @property212 def enable_external_logging(self) -> bool:213 return self._get_argument('enable_external_logging')214 @property215 def skip_validation(self) -> bool:216 return self._get_argument('skip_validation')217 @property218 def run_experiments(self) -> bool:219 return self._get_argument('run_experiments')220 @property221 def experiment_types(self) -> List[ExperimentType]:222 return self._get_argument('experiment_types')223 @property224 def reset_training_on_early_stop(self) -> bool:225 return self._get_argument('reset_training_on_early_stop')226 @property...

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1from enums.language import Language2from enums.metric_type import MetricType3default_values = {4 'epochs': 500,5 'eval_freq': 50,6 'batch_size': 8,7 'max_training_minutes': 24 * 60,8 'device' : 'cpu',9 'seed': 42,10 'evaluate': False,11 'patience': 30,12 'consider_equal_results_as_worse': False,13 'language': Language.English,14 'shuffle': True,15 'learning_rate': 1e-5,16 'weight_decay': 1e-8,17 'momentum': 0,18 'checkpoint_name': None,19 'resume_training': False,20 'resume_checkpoint_name': None,21 'skip_best_metrics_on_resume': False,22 'data_folder': 'data',23 'experiments_folder': 'experiments',24 'cache_folder': '.cache',25 'output_folder': 'results',26 'checkpoint_folder': None,27 'metric_types': MetricType.JaccardSimilarity,28 'joint_model': False,29 'joint_model_amount': 2,30 'enable_external_logging': False,31 'train_dataset_limit_size': None,32 'validation_dataset_limit_size': None,33 'skip_validation': True,34 'run_experiments': False,35 'experiment_types': None,36 'reset_training_on_early_stop': False,37 'resets_limit': 1,38 'training_reset_epoch_limit': 1,39 'save_checkpoint_on_crash': False,40 'save_checkpoint_on_finish': False,41 'log_folder': '.logs',42 'enable_verbose_logging': False,43 'pretrained_weights': 'bert-base-cased',44 'include_pretrained_model': False,45 'pretrained_model_size': 768,46 'pretrained_max_length': None,47 'learn_new_embeddings': False,48 'fasttext_model': None,49 'include_fasttext_model': False,50 'fasttext_model_size': 300,51 'pretrained_model': None,52 'fine_tune_pretrained': False,53 'fine_tune_after_convergence': False,54 'fine_tune_learning_rate': None,55 'minimal_occurrence_limit': 5,56 'initialize_randomly': False,57 'datasets': ['icdar-2017', 'icdar-2019'],...

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