Struct SimpleHMM 

pub struct SimpleHMM {
    pub num_states: usize,
    pub num_observations: usize,
    pub initial_distribution: Array1<f64>,
    pub transition_probabilities: Array2<f64>,
    pub emission_probabilities: Array2<f64>,
}

Simple HMM representation for parameter learning.

This is a standalone representation with explicit parameter matrices, designed for efficient parameter learning algorithms like Baum-Welch.

Fields

num_states: usize

Number of hidden states

num_observations: usize

Number of observable symbols

initial_distribution: Array1<f64>

Initial state distribution π: [num_states]

transition_probabilities: Array2<f64>

Transition probabilities A: [from_state, to_state]

emission_probabilities: Array2<f64>

Emission probabilities B: [state, observation]

Implementations

impl SimpleHMM

pub fn new(num_states: usize, num_observations: usize) -> Self

Create a new SimpleHMM with uniform initialization.

pub fn new_random(num_states: usize, num_observations: usize) -> Self

Create an HMM with random initialization.

Trait Implementations

impl Clone for SimpleHMM

fn clone(&self) -> SimpleHMM

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SimpleHMM

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

Formats the value using the given formatter.