Struct goko::plugins::gaussians::DiagGaussian

pub struct DiagGaussian {
    pub moment1: Vec<f32>,
    pub moment2: Vec<f32>,
    pub count: usize,
}

Node component, coded in such a way that it can be efficiently, recursively computed.

Fields

moment1: Vec<f32>

First Moment

moment2: Vec<f32>

Second Moment

count: usize

Cover count, divide the first moment by this to get the mean.

Implementations

impl DiagGaussian

pub fn new(dim: usize) -> DiagGaussian

Creates a new empty diagonal gaussian

pub fn dim(&self) -> usize

Dimension for this

pub fn add_point<T: PointRef>(&mut self, point: &T)

adds a point to the Diagonal Gaussian

pub fn remove_point<T: PointRef>(&mut self, point: &T)

removes a point from the Diagonal Gaussian

pub fn merge(&mut self, other: &DiagGaussian)

Merges two diagonal gaussians together

pub fn mean(&self) -> Vec<f32>

Mean: moment1/count

pub fn var(&self) -> Vec<f32>

Variance: moment2/count - (moment1/count)^2

pub fn count(&self) -> usize

The count used in the above equations

Trait Implementations

impl Clone for DiagGaussian

fn clone(&self) -> DiagGaussian

Returns a copy of the value.

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

Performs copy-assignment from source.

impl ContinousDistribution for DiagGaussian

fn ln_pdf<T: PointRef>(&self, point: &T) -> Option<f64>

Pass none if you want to test for a singleton, returns 0 if

fn sample<R: Rng>(&self, rng: &mut R) -> Vec<f32>

Samples a point from this distribution

fn kl_divergence(&self, other: &DiagGaussian) -> Option<f64>

Computes the KL divergence of two bucket probs. KL(self || other) Returns None if the support of the self is not a subset of the support of the other, or the calculation is undefined.

impl Debug for DiagGaussian

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

Formats the value using the given formatter.

impl Default for DiagGaussian

fn default() -> DiagGaussian

Returns the "default value" for a type.

impl<D: PointCloud> NodePlugin<D> for DiagGaussian