TPE (Tree-structured Parzen Estimator)

The Tree-structured Parzen Estimator (TPE) is a method used in optimizing complex systems, like tuning machine learning models. It works by building probabilistic models that estimate how good different configurations are. TPE then uses these models to suggest new configurations that are more likely to perform well, balancing exploring new options and refining known good ones. It employs a tree structure to handle various types of parameters efficiently. Ultimately, TPE helps find the best settings for a model or system more efficiently than testing every possibility manually.