AbstractSampler

class AbstractSampler

Bases: Module

Abstract base class for all exploration engines, mirroring the Optimistix AbstractIterativeSolver paradigm.

abstractmethod init(eval_fn, d, key, options)

Initialize the sampler state and perform the first evaluations.

Parameters:

• eval_fn (Callable[[Array], Array])

• d (int)

• key (Array)

• options (dict[str, Any])

Return type:

SamplerState

abstractmethod step(eval_fn, d, state, key, options)

Perform one iteration of the sampling algorithm.

Parameters:

• eval_fn (Callable[[Array], Array])

• d (int)

• state (SamplerState)

• key (Array)

• options (dict[str, Any])

Return type:

SamplerState

abstractmethod terminate(state, target_N)

Determine whether the sampling loop should stop.

Parameters:

• state (SamplerState)

• target_N (int)

Return type:

bool