Module: tfp.experimental.bayesopt.acquisition
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Acquisition Functions.
Classes
class AcquisitionFunction
: Base class for acquisition functions.
class GaussianProcessExpectedImprovement
: Gaussian Process expected improvement acquisition function.
class GaussianProcessMaxValueEntropySearch
: Max-value entropy search acquisition function.
class GaussianProcessProbabilityOfImprovement
: Gaussian Process probability of improvement acquisition function.
class GaussianProcessUpperConfidenceBound
: Analytical Gaussian Process upper confidence bound acquisition function.
class MCMCReducer
: Acquisition function for reducing over batch dimensions.
class ParallelExpectedImprovement
: Parallel expected improvement acquisition function.
class ParallelProbabilityOfImprovement
: Parallel probability of improvement acquisition function.
class ParallelUpperConfidenceBound
: Parallel upper confidence bound acquisition function.
class StudentTProcessExpectedImprovement
: Student-T Process expected improvement acquisition function.
class WeightedPowerScalarization
: Weighted power scalarization acquisition function.
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Last updated 2023-11-21 UTC.
[null,null,["Last updated 2023-11-21 UTC."],[],[],null,["# Module: tfp.experimental.bayesopt.acquisition\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/experimental/bayesopt/acquisition/__init__.py) |\n\nAcquisition Functions.\n\nClasses\n-------\n\n[`class AcquisitionFunction`](../../../tfp/experimental/bayesopt/acquisition/AcquisitionFunction): Base class for acquisition functions.\n\n[`class GaussianProcessExpectedImprovement`](../../../tfp/experimental/bayesopt/acquisition/GaussianProcessExpectedImprovement): Gaussian Process expected improvement acquisition function.\n\n[`class GaussianProcessMaxValueEntropySearch`](../../../tfp/experimental/bayesopt/acquisition/GaussianProcessMaxValueEntropySearch): Max-value entropy search acquisition function.\n\n[`class GaussianProcessProbabilityOfImprovement`](../../../tfp/experimental/bayesopt/acquisition/GaussianProcessProbabilityOfImprovement): Gaussian Process probability of improvement acquisition function.\n\n[`class GaussianProcessUpperConfidenceBound`](../../../tfp/experimental/bayesopt/acquisition/GaussianProcessUpperConfidenceBound): Analytical Gaussian Process upper confidence bound acquisition function.\n\n[`class MCMCReducer`](../../../tfp/experimental/bayesopt/acquisition/MCMCReducer): Acquisition function for reducing over batch dimensions.\n\n[`class ParallelExpectedImprovement`](../../../tfp/experimental/bayesopt/acquisition/ParallelExpectedImprovement): Parallel expected improvement acquisition function.\n\n[`class ParallelProbabilityOfImprovement`](../../../tfp/experimental/bayesopt/acquisition/ParallelProbabilityOfImprovement): Parallel probability of improvement acquisition function.\n\n[`class ParallelUpperConfidenceBound`](../../../tfp/experimental/bayesopt/acquisition/ParallelUpperConfidenceBound): Parallel upper confidence bound acquisition function.\n\n[`class StudentTProcessExpectedImprovement`](../../../tfp/experimental/bayesopt/acquisition/StudentTProcessExpectedImprovement): Student-T Process expected improvement acquisition function.\n\n[`class WeightedPowerScalarization`](../../../tfp/experimental/bayesopt/acquisition/WeightedPowerScalarization): Weighted power scalarization acquisition function."]]