Struct Scaling

pub struct Scaling {
    pub name: String,
    pub min_factor: f64,
    pub max_factor: f64,
    /* private fields */
}

Augmenter that scales a time series with a random scalar within the range specified by min_factor (inclusive) and max_factor (inclusive)

Fields

name: String

min_factor: f64

max_factor: f64

Implementations

impl Scaling

pub fn new(min: f64, max: f64) -> Self

Trait Implementations

impl Augmenter for Scaling

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

where Self: Sync,

Augment a whole batch

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.