Hyperopt Bayesian Optimization
Hyperopt is a Python library for hyperparameter optimization using Bayesian methods. Parzen estimators and simulated annealing search strategies minimize expensive objective functions. MongoDB backend enables distributed optimization across multiple workers. Integration with scikit-learn and TensorFlow supports ML pipelines. Research teams and practitioners use Hyperopt to find optimal model configurations efficiently.