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)