Struct RunningStats 

pub struct RunningStats { /* private fields */ }

Running statistics accumulator (Welford’s online algorithm)

Computes mean, variance, and standard deviation in a single pass with numerically stable updates. Memory: O(1)

Implementations

impl RunningStats

pub fn new() -> Self

Create a new running statistics accumulator

pub fn push(&mut self, value: f64)

Add a single value to the accumulator

pub fn count(&self) -> usize

Get the count of values

pub fn mean(&self) -> Option<f64>

Get the mean value

pub fn variance(&self) -> Option<f64>

Get the sample variance

pub fn std_dev(&self) -> Option<f64>

Get the sample standard deviation

pub fn min(&self) -> Option<f64>

Get the minimum value

pub fn max(&self) -> Option<f64>

Get the maximum value

Trait Implementations

impl Clone for RunningStats

fn clone(&self) -> RunningStats

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RunningStats

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

Formats the value using the given formatter.

impl Default for RunningStats

fn default() -> RunningStats

Returns the “default value” for a type.

impl Mergeable for RunningStats

Implementation of Mergeable for parallel statistics computation

Uses Chan’s parallel variance algorithm to correctly merge running statistics from multiple threads.

Reference: https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm

fn merge(&mut self, other: Self)

Merge another stats object into this one

fn merge_all(stats: Vec<Self>) -> Option<Self>

Merge multiple stats objects into one (convenience method)