Struct RandomSampler 

pub struct RandomSampler { /* private fields */ }

The simplest possible Sampler: every parameter is drawn independently and uniformly (or log-uniformly / categorically) from its distribution, with no learning from prior trials. It is the right baseline to validate the whole Trial/TrialContext/Study plumbing against, and the reference every adaptive sampler is compared to.

Implementations

impl RandomSampler

pub fn new() -> Self

A random sampler seeded from OS entropy (non-deterministic across runs).

pub fn seeded(seed: u64) -> Self

A random sampler with a fixed seed — reproducible across runs, which is what tests and benchmarks want.

Trait Implementations

impl Default for RandomSampler

fn default() -> Self

Returns the “default value” for a type.

impl Sampler for RandomSampler

fn suggest( &mut self, _study_state: &StudyState, _trial: &Trial, _param_name: &str, distribution: &Distribution, ) -> Value