def train(self, *args, **kwargs): import comet_ml self.experiment = comet_ml.Experiment(log_code=False) self.experiment.set_code(" ".join(args)) self.experiment.set_filename("Ludwig CLI") self._log_html(" ".join(args)) config = comet_ml.get_config() self._save_config(config)
def train(self, *args, **kwargs): import comet_ml try: self.experiment = comet_ml.Experiment(log_code=False) except Exception: logging.error("comet_ml.Experiment() had errors. Perhaps you need to define COMET_API_KEY") return logging.info("comet.train() called......") cli = self._make_command_line(args) self.experiment.set_code(cli) self.experiment.set_filename("Ludwig CLI") self._log_html(cli) config = comet_ml.get_config() self._save_config(config)
def train_init(self, experiment_directory, experiment_name, model_name, resume, output_directory): if self.cometml_experiment: # Comet ML already initialized return import comet_ml try: self.cometml_experiment = comet_ml.Experiment(log_code=False, project_name=experiment_name) except Exception: self.cometml_experiment = None logger.exception( "comet_ml.Experiment() had errors. Perhaps you need to define COMET_API_KEY") return logger.info("comet.train_init() called......") self.cometml_experiment.set_name(model_name) self.cometml_experiment.set_filename("Ludwig API") config = comet_ml.get_config() self._save_config(config, directory=experiment_directory)
def train(self, *args, **kwargs): import comet_ml self.experiment = comet_ml.Experiment(log_code=False) config = comet_ml.get_config() self._save_config(config)