Struct PageRankRun 

pub struct PageRankRun {
    pub scores: Vec<f64>,
    pub iterations: usize,
    pub diff_l1: f64,
    pub converged: bool,
}

Result of a PageRank run: scores plus convergence diagnostics.

The *_run variants (pagerank_run, pagerank_weighted_run, personalized_pagerank_run) return this struct; the shorter variants (pagerank, etc.) discard the diagnostics and return only scores.

Use the diagnostic fields when tuning max_iterations / tolerance or when bench-marking convergence across graphs of different sizes.

Fields

scores: Vec<f64>

PageRank score per node, indexed by node id. Sums to approximately 1.0 modulo floating-point and dangling-node redistribution.

iterations: usize

Number of power-iteration steps executed. Equal to config.max_iterations when converged == false.

diff_l1: f64

L1 norm of the score delta at the final iteration. Compare against config.tolerance to see how close we were to converging.

converged: bool

Whether the run converged (diff_l1 < config.tolerance) before hitting config.max_iterations.

Trait Implementations

impl Clone for PageRankRun

fn clone(&self) -> PageRankRun

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PageRankRun

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for PageRankRun

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for PageRankRun

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

where __S: Serializer,

Serialize this value into the given Serde serializer.