Struct Distribution 

pub struct Distribution { /* private fields */ }

Online statistics calculator using Welford’s algorithm.

Tracks mean, variance, and approximate percentiles without storing all samples. Memory: ~130 bytes

Implementations

impl Distribution

pub fn new() -> Self

Create a new empty distribution.

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

Add a sample using Welford’s online algorithm. O(1) time and space.

pub fn count(&self) -> u32

Get sample count.

pub fn mean(&self) -> f64

Get the mean.

pub fn stddev(&self) -> f64

Compute standard deviation.

pub fn variance(&self) -> f64

Compute variance.

pub fn z_score(&self, value: f64) -> f64

Calculate z-score for a value. Returns how many standard deviations from the mean.

pub fn percentiles(&self) -> (f64, f64, f64)

Get approximate percentiles (p50, p95, p99).

pub fn min(&self) -> f64

Get minimum value seen.

pub fn max(&self) -> f64

Get maximum value seen.

pub fn is_valid(&self) -> bool

Check if distribution has enough data for statistical analysis.

Trait Implementations

impl Clone for Distribution

fn clone(&self) -> Distribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Distribution

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

Formats the value using the given formatter.

impl Default for Distribution

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Distribution

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Distribution

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

where __S: Serializer,

Serialize this value into the given Serde serializer.