Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models

Jeroen van Hoof, Joaquin Vanschoren

Bayesian Optimization is a popular tool for tuning algorithms in automatic machine learning (AutoML) systems. Current state-of-the-art methods leverage Random Forests or Gaussian p…