Struct KMeansSampling 

pub struct KMeansSampling {
    pub n_iterations: usize,
    pub random_state: Option<u64>,
    /* private fields */
}

K-means based sampling strategy

Fields

n_iterations: usize

Number of iterations for k-means

random_state: Option<u64>

Random seed

Implementations

impl KMeansSampling

pub fn new(n_iterations: usize, random_state: Option<u64>) -> Self

Create a new k-means sampling strategy

Trait Implementations

impl Clone for KMeansSampling

fn clone(&self) -> KMeansSampling

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for KMeansSampling

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

Formats the value using the given formatter.

impl SamplingStrategy for KMeansSampling

fn sample( &self, data: &Array2<f64>, n_samples: usize, ) -> Result<Vec<usize>, SklearsError>

Sample indices from the dataset

fn name(&self) -> &str

Get the sampling strategy name

fn requires_fitting(&self) -> bool

Check if this strategy requires fitting

fn fit(&mut self, data: &Array2<f64>) -> Result<(), SklearsError>

Fit the sampling strategy (if needed)

fn weights(&self) -> Option<Array1<f64>>

Get sampling weights (if applicable)