Automated ML Model Benchmarking Library
AutoMLBench simplifies model selection and speeds up applied machine-learning experimentation.
- Supports model comparison, feature engineering, performance visualization, and experiment tracking.
- Integrates XGBoost, LightGBM, CatBoost, and Scikit-Learn.
- Benchmarks classification, regression, and clustering workflows.