Struct ImportanceSampler 

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

A struct for sampling using importance sampling.

Implementations

impl<'a, R, M, E> ImportanceSampler<'a, R, M, E>

where M: Labelled, E: Labelled,

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

Construct a new importance sampler.

Arguments

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

Returns

Return a new ImportanceSampler instance.

Trait Implementations

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

type Sample = (ArrayBase<OwnedRepr<u8>, Dim<[usize; 1]>>, f64)

The sample type.

type Samples = CatWtdTable

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 ImportanceSampler<'_, R, GaussBN, GaussEv>

type Sample = (ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>, f64)

The sample type.

type Samples = GaussWtdTable

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 ImportanceSampler<'_, R, CatCTBN, CatTrjEv>

type Sample = CatWtdTrj

The sample type.

type Samples = CatWtdTrjs

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, E: Debug> Debug for ImportanceSampler<'a, R, M, E>

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

Formats the value using the given formatter.

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

type Samples = CatWtdTable

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 ImportanceSampler<'_, R, GaussBN, GaussEv>

type Samples = GaussWtdTable

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 ImportanceSampler<'_, R, CatCTBN, CatTrjEv>

type Samples = CatWtdTrjs

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.