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BIC

scirs2_stats::bayesian_network::structure_learning

Struct BIC

pub struct BIC;

Expand description

Bayesian Information Criterion for discrete Bayesian Networks.

BIC = log-likelihood - (k/2) * log(n) where k = number of free parameters and n = sample size.

Implementations§

impl BIC

pub fn score(data: &[Vec<f64>], dag: &DAG, cards: &[usize]) -> f64

Compute the BIC score of a DAG given data and cardinalities.

pub fn mle_cpd( data: &[Vec<f64>], node: usize, parents: &[usize], cards: &[usize], ) -> Result<TabularCPD, StatsError>

Build a TabularCPD by MLE from data for a node given its parents.

Auto Trait Implementations§

impl Freeze for BIC

impl RefUnwindSafe for BIC

impl Send for BIC

impl Sync for BIC

impl Unpin for BIC

impl UnsafeUnpin for BIC

impl UnwindSafe for BIC

Blanket Implementations§

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