[][src]Struct goko::plugins::discrete::dirichlet::Dirichlet

pub struct Dirichlet { /* fields omitted */ }

Simple probability density function for where things go by count

Implementations

impl Dirichlet[src]

pub fn new() -> Dirichlet[src]

New all 0 Dirichlet distribution. The child counts are uninitialized

pub fn weight(&mut self, weight: f64)[src]

Multiplies all parameters by this weight

pub fn total(&self) -> f64[src]

The total of the parameters. This is a proxy for the total count, and the "concentration" of the distribution

pub fn prob_vector(&self) -> Option<(Vec<(NodeAddress, f64)>, f64)>[src]

Gives the probability vector for this

pub fn ln_prob_vector(&self) -> Option<(Vec<(NodeAddress, f64)>, f64)>[src]

Gives the probability vector for this

pub fn add_observation(&mut self, loc: Option<NodeAddress>)[src]

Adds a single observation to the Dirichlet distribution. Mutates the distribution in place to the posterior given the new evidence.

pub fn add_evidence(&mut self, other: &Categorical)[src]

Adds a a group of observations to the Dirichlet distribution. Mutates the distribution in place to the posterior given the new evidence.

pub fn posterior_kl_divergence(&self, other: &Categorical) -> Option<f64>[src]

Computes KL(prior || posterior), where the prior is the distribution and the posterior is based on the evidence provided.

pub fn ln_pdf(&self, loc: Option<&NodeAddress>) -> Option<f64>[src]

Computes the log of the expected PDF of the Dirichlet distribution

pub fn sample<R: Rng>(&self, rng: &mut R) -> Option<NodeAddress>[src]

Samples from the expected PDF of the Dirichlet distribution

pub fn kl_divergence(&self, other: &Dirichlet) -> Option<f64>[src]

from http://bariskurt.com/kullback-leibler-divergence-between-two-dirichlet-and-beta-distributions/ We assume that the Dirichlet distribution passed into this one is conditioned on this one! It assumes they have the same keys!

Trait Implementations

impl Clone for Dirichlet[src]

impl Debug for Dirichlet[src]

impl Default for Dirichlet[src]

impl<D: PointCloud> NodePlugin<D> for Dirichlet[src]

Auto Trait Implementations

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
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    T: ?Sized
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impl<T> From<T> for T[src]

impl<T> FromCast<T> for T

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type Init = T

The type for initializers.

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Should always be Self

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type Owned = T

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