- Python Machine Learning Cookbook(Second Edition)
- Giuseppe Ciaburro Prateek Joshi
- 49字
- 2021-06-24 15:41:02
See also
- The official documentation of the sklearn.model_selection.GridSearchCV() function: https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV
- Hyperparameter optimization (from Wikipedia): https://en.wikipedia.org/wiki/Hyperparameter_optimization
- Spearmint Bayesian optimization (from GitHub): https://github.com/HIPS/Spearmint
- The SMAC3 official documentation: https://automl.github.io/SMAC3/stable/
- A Tutorial on Bayesian Optimization for Machine Learning (from the School of Engineering and Applied Sciences, Harvard University): https://www.iro.umontreal.ca/~bengioy/cifar/NCAP2014-summerschool/slides/Ryan_adams_140814_bayesopt_ncap.pdf