Struct Convolve

pub struct Convolve {
    pub name: String,
    /* private fields */
}

Usage of this augmenter is to convolve time series data with a kernel

The kernel can be flat or Gaussian, and the size of the kernel are the parameters

The convolve operation is applied to each time series in the dataset, and smoothening is achieved by averaging the values in the kernel window over the time series data.

Fields

name: String

Implementations

impl Convolve

pub fn new(window: ConvolveWindow, size: usize) -> Self

Trait Implementations

impl Augmenter for Convolve

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

Augment one time series

fn augment_batch(&self, input: &mut Dataset, parallel: bool, per_sample: bool)

where Self: Sync,

Augment a whole batch

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.