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)
