HPO

2000년 도입 · 논문 154편에서 사용

In machine learning, a hyperparameter is a parameter whose value is used to control learning process, and HPO is the problem of choosing a set of optimal hyperparameters for a learning algorithm.

출처: Algorithms for Hyper-Parameter Optimization

소개 논문: Algorithms for Hyper-Parameter Optimization