Struct BayesianNode 

pub struct BayesianNode {
    pub node_type: NodeType,
    pub states: Vec<String>,
    pub prior: Vec<f64>,
    pub parents: Vec<String>,
    pub cpt: HashMap<String, Vec<f64>>,
    pub mean: f64,
    pub std: f64,
}

A node in the Bayesian network

Fields

node_type: NodeType

Node type

states: Vec<String>

Possible states (for discrete nodes)

prior: Vec<f64>

Prior probabilities (for root nodes)

parents: Vec<String>

Parent node names

cpt: HashMap<String, Vec<f64>>

Conditional probability table (CPT) Keys are parent state combinations, values are probabilities for this node’s states

mean: f64

For continuous nodes: mean

std: f64

For continuous nodes: standard deviation

Implementations

impl BayesianNode

pub fn discrete(states: Vec<&str>) -> Self

Create a new discrete node with states

pub fn continuous(mean: f64, std: f64) -> Self

Create a new continuous node

pub fn with_prior(self, prior: Vec<f64>) -> Self

Set prior probabilities (for root nodes)

pub fn with_parents(self, parents: Vec<&str>) -> Self

Set parent nodes

pub fn with_cpt_entry(self, parent_state: &str, probs: Vec<f64>) -> Self

Add CPT entry

pub fn validate(&self, name: &str) -> Result<(), String>

Validate the node

Errors

Returns an error if the node configuration is invalid (e.g., missing states, incorrect prior/CPT dimensions, or probabilities not summing to 1).

pub const fn is_root(&self) -> bool

Check if this is a root node

pub fn get_probability( &self, state_idx: usize, parent_state: Option<&str>, ) -> f64

Get probability for a state given parent state

Trait Implementations

impl Clone for BayesianNode

fn clone(&self) -> BayesianNode

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BayesianNode

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for BayesianNode

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for BayesianNode

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.