方便好用的(Python)贝叶斯优化库Spearmint

n6bg 9年前

方便好用的(Python)贝叶斯优化库Spearmint。

Spearmint is a software package to perform Bayesian optimization. The Software is designed to automatically run experiments (thus the code name spearmint) in a manner that iteratively adjusts a number of parameters so as to minimize some objective in as few runs as possible.

IMPORTANT: Spearmint is under an Academic and Non-Commercial Research Use License. Before using spearmint please be aware of the license. If you do not qualify to use spearmint you can ask to obtain a license as detailed in the license or you can use the older open source code version (which is somewhat outdated) at https://github.com/JasperSnoek/spearmint.

Relevant Publications

Spearmint implements a combination of the algorithms detailed in the following publications:

Practical Bayesian Optimization of Machine Learning Algorithms    Jasper Snoek, Hugo Larochelle and Ryan Prescott Adams    Advances in Neural Information Processing Systems, 2012      Multi-Task Bayesian Optimization    Kevin Swersky, Jasper Snoek and Ryan Prescott Adams    Advances in Neural Information Processing Systems, 2013      Input Warping for Bayesian Optimization of Non-stationary Functions    Jasper Snoek, Kevin Swersky, Richard Zemel and Ryan Prescott Adams    International Conference on Machine Learning, 2014      Bayesian Optimization and Semiparametric Models with Applications to Assistive Technology    Jasper Snoek, PhD Thesis, University of Toronto, 2013      Bayesian Optimization with Unknown Constraints  Michael Gelbart, Jasper Snoek and Ryan Prescott Adams  Uncertainty in Artificial Intelligence, 2014

项目主页:http://www.open-open.com/lib/view/home/1430379288302