Struct ApproximateTensorStatistics 

pub struct ApproximateTensorStatistics {
    pub mean: f64,
    pub standard_deviation: f64,
    pub histogram: Vec<HistogramBucket>,
}

Numerically stable statistics calculated from bounded logical samples.

Fields

mean: f64

Arithmetic mean computed by Welford’s online method.

standard_deviation: f64

Population standard deviation computed by Welford’s online method.

histogram: Vec<HistogramBucket>

Histogram over the values used for the mean and standard deviation.

Trait Implementations

impl Clone for ApproximateTensorStatistics

fn clone(&self) -> ApproximateTensorStatistics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ApproximateTensorStatistics

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ApproximateTensorStatistics

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ApproximateTensorStatistics

fn eq(&self, other: &ApproximateTensorStatistics) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for ApproximateTensorStatistics

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ApproximateTensorStatistics