Struct WaveletFeatures 

pub struct WaveletFeatures { /* private fields */ }

Wavelet feature extractor for time series

Extracts features using wavelet decomposition. Useful for multi-resolution analysis of time series.

Implementations

impl WaveletFeatures

pub fn new(wavelet: &str, level: usize) -> Self

Create a new WaveletFeatures extractor

Arguments

• wavelet - Wavelet type (e.g., “db1” for Haar wavelet)
• level - Decomposition level

pub fn with_include_approx(self, include: bool) -> Self

Set whether to include approximation coefficients

pub fn transform<S>(&self, x: &ArrayBase<S, Ix2>) -> Result<Vec<Array1<f64>>>

where S: Data, S::Elem: Float + NumCast,

Transform time series data to wavelet features

Arguments

• x - Time series data, shape (n_samples, n_timesteps)

Returns

• Wavelet features

Trait Implementations

impl Clone for WaveletFeatures

fn clone(&self) -> WaveletFeatures

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for WaveletFeatures

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

Formats the value using the given formatter.