pub struct PriorHandler<'r, R: RngCore> {
pub rng: &'r mut R,
pub trace: Trace,
}Expand description
Handler for prior sampling - generates fresh random values from distributions.
This is the foundational interpreter that implements standard “forward sampling” from probabilistic models. It draws fresh values from distributions and accumulates log-probabilities in the trace.
Example:
let model = sample(addr!("x"), Normal::new(0.0, 1.0).unwrap())
.bind(|x| observe(addr!("y"), Normal::new(x, 0.5).unwrap(), 1.2)
.map(move |_| x));
let mut rng = StdRng::seed_from_u64(42);
let (result, trace) = runtime::handler::run(
PriorHandler { rng: &mut rng, trace: Trace::default() },
model
);
assert!(result.is_finite());
assert!(trace.log_likelihood.is_finite());Fields§
§rng: &'r mut RRandom number generator for sampling.
trace: TraceTrace to accumulate execution history.
Trait Implementations§
Source§impl<'r, R: RngCore> Handler for PriorHandler<'r, R>
impl<'r, R: RngCore> Handler for PriorHandler<'r, R>
Source§fn on_sample_f64(&mut self, addr: &Address, dist: &dyn Distribution<f64>) -> f64
fn on_sample_f64(&mut self, addr: &Address, dist: &dyn Distribution<f64>) -> f64
Handle an f64 sampling operation (continuous distributions).
Source§fn on_sample_bool(
&mut self,
addr: &Address,
dist: &dyn Distribution<bool>,
) -> bool
fn on_sample_bool( &mut self, addr: &Address, dist: &dyn Distribution<bool>, ) -> bool
Handle a bool sampling operation (Bernoulli).
Source§fn on_sample_u64(&mut self, addr: &Address, dist: &dyn Distribution<u64>) -> u64
fn on_sample_u64(&mut self, addr: &Address, dist: &dyn Distribution<u64>) -> u64
Handle a u64 sampling operation (Poisson, Binomial).
Source§fn on_sample_usize(
&mut self,
addr: &Address,
dist: &dyn Distribution<usize>,
) -> usize
fn on_sample_usize( &mut self, addr: &Address, dist: &dyn Distribution<usize>, ) -> usize
Handle a usize sampling operation (Categorical).
Source§fn on_observe_f64(
&mut self,
_: &Address,
dist: &dyn Distribution<f64>,
value: f64,
)
fn on_observe_f64( &mut self, _: &Address, dist: &dyn Distribution<f64>, value: f64, )
Handle an f64 observation operation.
Source§fn on_observe_bool(
&mut self,
_: &Address,
dist: &dyn Distribution<bool>,
value: bool,
)
fn on_observe_bool( &mut self, _: &Address, dist: &dyn Distribution<bool>, value: bool, )
Handle a bool observation operation.
Source§fn on_observe_u64(
&mut self,
_: &Address,
dist: &dyn Distribution<u64>,
value: u64,
)
fn on_observe_u64( &mut self, _: &Address, dist: &dyn Distribution<u64>, value: u64, )
Handle a u64 observation operation.
Source§fn on_observe_usize(
&mut self,
_: &Address,
dist: &dyn Distribution<usize>,
value: usize,
)
fn on_observe_usize( &mut self, _: &Address, dist: &dyn Distribution<usize>, value: usize, )
Handle a usize observation operation.
Auto Trait Implementations§
impl<'r, R> Freeze for PriorHandler<'r, R>
impl<'r, R> RefUnwindSafe for PriorHandler<'r, R>where
R: RefUnwindSafe,
impl<'r, R> Send for PriorHandler<'r, R>where
R: Send,
impl<'r, R> Sync for PriorHandler<'r, R>where
R: Sync,
impl<'r, R> Unpin for PriorHandler<'r, R>
impl<'r, R> !UnwindSafe for PriorHandler<'r, R>
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more