boax.core.optimizers.sequential

boax.core.optimizers.sequential(initializer, solver, q)

Sequential optimizer.

Example

>>> optimizer = sequential(initializer, solver)
>>> next_candidates = optimizer(key, fun, bounds, q, num_samples, num_restarts)

Parameters:

• initializer (Initializer) – The initializer function.

• solver (Solver) – The solver function.

Return type:

Optimizer

Returns:

The sequential Optimizer.