bask.acquisition
.MaxValueSearch¶
- class bask.acquisition.MaxValueSearch[source]¶
Select points based on their mutual information with the optimum value.
- Parameters:
- n_min_samplesint, default=1000
Number of samples for the optimum distribution
References
- [1] Wang, Z. & Jegelka, S.. (2017). Max-value Entropy Search for Efficient
Bayesian Optimization. Proceedings of the 34th International Conference on Machine Learning, in PMLR 70:3627-3635
Methods
__call__
(mu, std, *args[, n_min_samples])Call self as a function.
- __init__(*args, **kwargs)¶