Files
drc-ners-nlp/train.py
T

40 lines
1.1 KiB
Python
Executable File

#!.venv/bin/python3
import argparse
import logging
import sys
import traceback
from core.config import setup_config
from research.model_trainer import ModelTrainer
def main():
parser = argparse.ArgumentParser(description="Train DRC Names Models")
parser.add_argument("--type", type=str, help="Specific model type to train")
parser.add_argument("--name", type=str, help="Model name")
parser.add_argument("--config", type=str, help="Path to configuration file")
parser.add_argument("--env", type=str, default="development", help="Environment name")
args = parser.parse_args()
try:
config = setup_config(config_path=args.config, env=args.env)
trainer = ModelTrainer(config)
# Train specific model
trainer.train_single_model(
model_name=args.name,
model_type=args.type,
features=["full_name"]
)
return 0
except Exception as e:
logging.error(f"Training failed: {e}")
traceback.print_exc()
return 1
if __name__ == "__main__":
exit_code = main()
sys.exit(exit_code)