- Supports dynamic search space definition at runtime without requiring predefined grids.
- Integrates with multiple popular machine learning libraries including PyTorch, TensorFlow, and XGBoost.
- Enables easy parallelization to scale optimization across multiple workers.
- Provides visualization tools and a real-time dashboard for monitoring optimization progress.