Struct ForwardSampler 

pub struct ForwardSampler<'a, R, M> { /* private fields */ }

A forward sampler.

Implementations

impl<'a, R, M> ForwardSampler<'a, R, M>

pub const fn new(rng: &'a mut R, model: &'a M) -> Self

Construct a new forward sampler.

Arguments

• rng - A random number generator.
• model - A reference to the model to sample from.

Returns

Return a new ForwardSampler instance.

Trait Implementations

impl<R: Rng> BNSampler<CatBN> for ForwardSampler<'_, R, CatBN>

type Sample = <CatBN as BN>::Sample

The sample type.

type Samples = <CatBN as BN>::Samples

The samples type.

fn sample(&self) -> Self::Sample

Sample a single instance from a Bayesian network.

fn sample_n(&self, n: usize) -> Self::Samples

Sample from a Bayesian network.

impl<R: Rng> BNSampler<GaussBN> for ForwardSampler<'_, R, GaussBN>

type Sample = <GaussBN as BN>::Sample

The sample type.

type Samples = <GaussBN as BN>::Samples

The samples type.

fn sample(&self) -> Self::Sample

Sample a single instance from a Bayesian network.

fn sample_n(&self, n: usize) -> Self::Samples

Sample from a Bayesian network.

impl<R: Rng> CTBNSampler<CatCTBN> for ForwardSampler<'_, R, CatCTBN>

type Sample = <CatCTBN as CTBN>::Trajectory

The sample type.

type Samples = <CatCTBN as CTBN>::Trajectories

The samples type.

fn sample_by_length(&self, max_length: usize) -> Self::Sample

Sample a single trajectory with a given length from a CTBN.

fn sample_by_time(&self, max_time: f64) -> Self::Sample

Sample a single trajectory with a given time from a CTBN.

fn sample_by_length_or_time( &self, max_length: usize, max_time: f64, ) -> Self::Sample

Sample a single trajectory with a given length or time from a CTBN.

fn sample_n_by_length(&self, max_length: usize, n: usize) -> Self::Samples

Sample multiple trajectories with a given length from a CTBN.

fn sample_n_by_time(&self, max_time: f64, n: usize) -> Self::Samples

Sample multiple trajectories with a given time from a CTBN.

fn sample_n_by_length_or_time( &self, max_length: usize, max_time: f64, n: usize, ) -> Self::Samples

Sample multiple trajectories with a given length or time from a CTBN.

impl<'a, R: Debug, M: Debug> Debug for ForwardSampler<'a, R, M>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<R: Rng + SeedableRng> ParBNSampler<CatBN> for ForwardSampler<'_, R, CatBN>

type Samples = <CatBN as BN>::Samples

The samples type.

fn par_sample_n(&self, n: usize) -> Self::Samples

Sample from a Bayesian network in parallel.

impl<R: Rng + SeedableRng> ParBNSampler<GaussBN> for ForwardSampler<'_, R, GaussBN>

type Samples = <GaussBN as BN>::Samples

The samples type.

fn par_sample_n(&self, n: usize) -> Self::Samples

Sample from a Bayesian network in parallel.

impl<R: Rng + SeedableRng> ParCTBNSampler<CatCTBN> for ForwardSampler<'_, R, CatCTBN>

type Samples = <CatCTBN as CTBN>::Trajectories

The samples type.

fn par_sample_n_by_length(&self, max_length: usize, n: usize) -> Self::Samples

Sample multiple trajectories with a given length from a CTBN in parallel.

fn par_sample_n_by_time(&self, max_time: f64, n: usize) -> Self::Samples

Sample multiple trajectories with a given time from a CTBN in parallel.

fn par_sample_n_by_length_or_time( &self, max_length: usize, max_time: f64, n: usize, ) -> Self::Samples

Sample multiple trajectories with a given length or time from a CTBN in parallel.