Struct Posterior

pub struct Posterior { /* private fields */ }

Posterior probabilities for each support points

Implementations

impl Posterior

pub fn calculate(psi: &Psi, w: &Col<f64>) -> Result<Self>

Calculate the posterior probabilities for each support point given the weights

The shape is the same as Psi, and thus subjects are the rows and support points are the columns. /// # Errors Returns an error if the number of rows in psi does not match the number of weights in w.

Arguments

• psi - The Psi object containing the matrix of support points.
• w - The weights for each support point.

Returns

A Result containing the Posterior probabilities if successful, or an error if the dimensions do not match.

pub fn matrix(&self) -> &Mat<f64>

Get a reference to the underlying matrix

pub fn to_csv<W: Write>(&self, writer: W) -> Result<()>

Write the posterior probabilities to a CSV file Each row represents a subject, each column represents a support point

pub fn from_csv<R: Read>(reader: R) -> Result<Self>

Read posterior probabilities from a CSV file Each row represents a subject, each column represents a support point

Trait Implementations

impl Clone for Posterior

fn clone(&self) -> Posterior

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Posterior

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Posterior

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl From<Mat<Own<f64>>> for Posterior

Convert a matrix to a Posterior

fn from(mat: Mat<f64>) -> Self

Converts to this type from the input type.

impl Serialize for Posterior

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.