Struct EntropyFeaturesExtractor 

pub struct EntropyFeaturesExtractor { /* private fields */ }

Entropy-Based Feature Extractor

Extracts entropy-based features from data including Shannon entropy, Rényi entropy, sample entropy, and approximate entropy measures.

Parameters

• n_bins - Number of bins for histogram-based entropy
• include_conditional_entropy - Whether to include conditional entropy features
• window_size - Window size for sample entropy computation
• tolerance - Tolerance for approximate entropy

Examples

use sklears_feature_extraction::statistical_features::EntropyFeaturesExtractor;
use scirs2_core::ndarray::array;

let data = array![1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0];
let extractor = EntropyFeaturesExtractor::new()
    .n_bins(8)
    .window_size(2)
    .tolerance(0.1);

let features = extractor.extract_features(&data.view()).expect("valid data produces features");

Implementations

impl EntropyFeaturesExtractor

pub fn new() -> Self

Create a new EntropyFeaturesExtractor

pub fn n_bins(self, n_bins: usize) -> Self

Set the number of bins for histogram-based entropy

pub fn include_conditional_entropy( self, include_conditional_entropy: bool, ) -> Self

Set whether to include conditional entropy features

pub fn window_size(self, window_size: usize) -> Self

Set the window size for sample entropy

pub fn tolerance(self, tolerance: Float) -> Self

Set the tolerance for approximate entropy

pub fn extract_features( &self, data: &ArrayView1<'_, Float>, ) -> SklResult<Array1<Float>>

Extract entropy-based features from data

Trait Implementations

impl Clone for EntropyFeaturesExtractor

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EntropyFeaturesExtractor

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

Formats the value using the given formatter.

impl Default for EntropyFeaturesExtractor

fn default() -> Self

Returns the “default value” for a type.