smac.acquisition.maximizer.local_search

Classes

LocalSearch(configspace[, ...])

Implementation of SMAC's local search.

Interfaces

class smac.acquisition.maximizer.local_search.LocalSearch(configspace, acquisition_function=None, challengers=5000, max_steps=None, n_steps_plateau_walk=10, vectorization_min_obtain=2, vectorization_max_obtain=64, seed=0)

Bases: AbstractAcquisitionMaximizer

Implementation of SMAC’s local search.

Parameters:

• configspace (ConfigurationSpace)

• acquisition_function (AbstractAcquisitionFunction)

• challengers (int, defaults to 5000) – Number of challengers.

• max_steps (int | None, defaults to None) – Maximum number of iterations that the local search will perform.

• n_steps_plateau_walk (int, defaults to 10) – Number of steps during a plateau walk before local search terminates.

• vectorization_min_obtain (int, defaults to 2) – Minimal number of neighbors to obtain at once for each local search for vectorized calls. Can be tuned to reduce the overhead of SMAC.

• vectorization_max_obtain (int, defaults to 64) – Maximal number of neighbors to obtain at once for each local search for vectorized calls. Can be tuned to reduce the overhead of SMAC.

• seed (int, defaults to 0)

property meta: dict[str, Any]

Return the meta-data of the created object.

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