Struct HiddenMarkovModel 

pub struct HiddenMarkovModel {
    pub n_states: usize,
    pub n_symbols: usize,
    pub initial: Vec<f64>,
    pub transition: Vec<Vec<f64>>,
    pub emission: Vec<Vec<f64>>,
}

A discrete hidden Markov model.

Fields

n_states: usize

n_symbols: usize

initial: Vec<f64>

transition: Vec<Vec<f64>>

emission: Vec<Vec<f64>>

Implementations

impl HiddenMarkovModel

pub fn uniform(n_states: usize, n_symbols: usize) -> Self

Create an HMM with uniform distributions.

pub fn viterbi(&self, observations: &[usize]) -> Vec<usize>

Run the Viterbi algorithm on a symbol sequence.

Returns the most probable state path.

pub fn forward_probability(&self, observations: &[usize]) -> f64

Forward algorithm: compute P(observations | model).

Trait Implementations

impl Clone for HiddenMarkovModel

fn clone(&self) -> HiddenMarkovModel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for HiddenMarkovModel

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

Formats the value using the given formatter.