Module acquisition 

Acquisition functions for Bayesian optimization.

Acquisition functions determine the next point to evaluate by balancing exploration (sampling where uncertainty is high) and exploitation (sampling where the predicted value is good).

Available Acquisition Functions

Function	Description
Expected Improvement (EI)	Most popular; trades off mean improvement vs uncertainty
Probability of Improvement (PI)	Probability of beating the current best
Upper Confidence Bound (UCB)	Optimistic estimate with controllable exploration
Knowledge Gradient (KG)	Value of information about the optimum
Thompson Sampling (TS)	Random sampling from the posterior
Batch q-EI	Batch Expected Improvement via fantasized observations
Batch q-UCB	Batch UCB via fantasized observations

Structs

BatchExpectedImprovement

Batch Expected Improvement (q-EI) using fantasized observations.

BatchUpperConfidenceBound

Batch Upper Confidence Bound (q-UCB) using fantasized observations.

ExpectedImprovement

Expected Improvement acquisition function.

KnowledgeGradient

Knowledge Gradient acquisition function.

ProbabilityOfImprovement

Probability of Improvement acquisition function.

ThompsonSampling

Thompson Sampling acquisition function.

UpperConfidenceBound

Upper Confidence Bound acquisition function (adapted for minimization).

Enums

AcquisitionType

Enumeration of acquisition function types for configuration.

Traits

AcquisitionFn

Trait for acquisition functions.