Struct FrequencyMask

pub struct FrequencyMask {
    pub name: String,
    pub mask_width: usize,
    pub is_time_domain: bool,
    /* private fields */
}

This augmenter applies a frequency-domain mask to each time series, zeroing out a contiguous block of frequency bins.

• If is_time_domain is true, the input is first transformed to the frequency domain using FFT, the mask is applied, and then the result is transformed back to the time domain using IFFT. The width of the mask is controlled by mask_width, and the masked region is chosen randomly for each sample.

Fields

name: String

mask_width: usize

is_time_domain: bool

Implementations

impl FrequencyMask

pub fn new(mask_width: usize, is_time_domain: bool) -> Self

Trait Implementations

impl Augmenter for FrequencyMask

fn augment_batch(&self, data: &mut Dataset, _parallel: bool, per_sample: bool)

Augment a whole batch

fn augment_one(&self, x: &[f64]) -> Vec<f64>

Augment one time series

fn get_probability(&self) -> f64

Get the probability that this augmenter will augment a series in a batch

fn set_probability(&mut self, probability: f64)

By setting a probability with this function the augmenter will only augment a series in a batch with the specified probability

fn get_name(&self) -> String

fn supports_per_sample(&self) -> bool

Indicate whether this augmenter supports per-sample chaining. By default, return true. Augmenters that need a batch level view should override this to return false.