smac.acquisition.function.integrated_acquisition_function¶
Classes¶
Compute the integrated acquisition function by marginalizing over model hyperparameters |
Interfaces¶
- class smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction(acquisition_function)[source]¶
Bases:
AbstractAcquisitionFunction
Compute the integrated acquisition function by marginalizing over model hyperparameters
See “Practical Bayesian Optimization of Machine Learning Algorithms” by Jasper Snoek et al. (https://papers.nips.cc/paper/4522-practical-bayesian-optimization-of-machine-learning-algorithms.pdf) for further details.
- Parameters:
acquisition_function (AbstractAcquisitionFunction) – Acquisition function to be integrated.
- _acquisition_function¶
Acquisition function to be integrated.
- _functions¶
Holds n (n = number of models) copies of the acquisition function.
- Type:
- _eta¶
Current incumbent function value.
- Type:
float
- property meta: dict[str, Any]¶
Returns the meta data of the created object.
- property name: str¶
Returns the full name of the acquisition function.