smac.acquisition.function.confidence_bound¶
Classes¶
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Computes the lower confidence bound for a given x over the best so far value as acquisition value. |
Interfaces¶
- class smac.acquisition.function.confidence_bound.LCB(beta=1.0)[source]¶
Bases:
AbstractAcquisitionFunction
Computes the lower confidence bound for a given x over the best so far value as acquisition value.
with
Returns -LCB(X) as the acquisition_function optimizer maximizes the acquisition value.
- Parameters:
beta (float, defaults to 1.0) – Controls the balance between exploration and exploitation of the acquisition function.
- _beta¶
Exploration-exploitation trade-off parameter.
- Type:
float
- _num_data¶
Number of data points seen so far.
- Type:
int
- property meta: dict[str, Any]¶
Returns the meta data of the created object.
- property name: str¶
Returns the full name of the acquisition function.