Struct GaussWtdTable 

pub struct GaussWtdTable { /* private fields */ }

A multivariate Gaussian weighted dataset.

Implementations

impl GaussWtdTable

pub fn new(dataset: GaussTable, weights: Array1<f64>) -> Self

Creates a new Gaussian weighted dataset.

Arguments

• dataset - The Gaussian dataset.
• weights - The weights of the samples.

Panics

• Panics if the number of weights is not equal to the number of samples.
• Panics if any weight is not in the range [0, 1].

Returns

A new Gaussian weighted dataset instance.

pub const fn weights(&self) -> &Array1<f64>

Returns the weights of the samples in the Gaussian distribution.

Returns

A reference to the array of weights.

Trait Implementations

impl Clone for GaussWtdTable

fn clone(&self) -> GaussWtdTable

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Dataset for GaussWtdTable

type Values = GaussTable

The type of the values.

fn values(&self) -> &Self::Values

The values of the dataset.

fn sample_size(&self) -> f64

The sample size.

impl Debug for GaussWtdTable

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

Formats the value using the given formatter.

impl Labelled for GaussWtdTable

fn labels(&self) -> &Labels

Returns the labels of the variables.

fn label_to_index(&self, x: &str) -> usize

Return the variable index for a given label.

fn index_to_label(&self, x: usize) -> &str

Return the label for a given variable index.

fn index_to(&self, x: usize, other: &Labels) -> usize

Maps an index from this model to another model with the same label.

fn indices_to(&self, x: &Set<usize>, other: &Labels) -> Set<usize>

Maps a set of indices from this model to another model with the same labels.

fn index_from(&self, x: usize, other: &Labels) -> usize

Maps an index from another model to this model with the same label.

fn indices_from(&self, x: &Set<usize>, other: &Labels) -> Set<usize>

Maps a set of indices from another model to this model with the same labels.