Random SearchΒΆ
This solver is implemented in optunity.solvers.RandomSearch. It as available in optunity.make_solver() as ‘random search’.
This strategy consists of testing a predefined number of randomly sampled hyperparameter tuples. Sampling is done uniform at random within specified box constraints.
This solver implements the search strategy described in [RAND].
| [RAND] | Bergstra, James, and Yoshua Bengio. Random search for hyper-parameter optimization. The Journal of Machine Learning Research 13.1 (2012): 281-305 |
