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BETC: Bi-directional encoders for text classification
"Betsy"
Usage
# First time setup
make init
# Start services and run training
make train
# Monitor training
make services-logs
# Clean up after training
make services-stop
Command Interface
# Show all available commands
make help# Development commands
make init # Initialize environment
make format # Format code
make lint # Run linting
make type-check # Run type checking
make test# Run tests
make coverage # Generate coverage report# Service management
make services-start # Start MLflow and TensorBoard
make services-stop # Stop services
make services-restart # Restart services
make services-status # Check service status
make services-logs # View service logs# Cleaning
make clean # Clean Python cache
make docker-clean # Clean Docker resources
make all-clean # Clean everything