Struct light_curve_feature::Kurtosis

pub struct Kurtosis {}

Kurtosis of magnitude $G_2$

$$ G_2 \equiv \frac{N\,(N + 1)}{(N - 1)(N - 2)(N - 3)} \frac{\sum_i(m_i - \langle m \rangle)^4}{\sigma_m^2} - 3\frac{(N + 1)^2}{(N - 2)(N - 3)}, $$ where $N$ is the number of observations, $\langle m \rangle$ is the mean magnitude, $\sigma_m = \sqrt{\sum_i (m_i - \langle m \rangle)^2 / (N-1)}$ is the magnitude standard deviation.

• Depends on: magnitude
• Minimum number of observations: 4
• Number of features: 1

Wikipedia

Implementations

impl Kurtosis

pub fn new() -> Self

Trait Implementations

impl Default for Kurtosis

fn default() -> Kurtosis

Returns the "default value" for a type.

impl<T> FeatureEvaluator<T> for Kurtosis where
    T: Float, 

fn eval(&self, ts: &mut TimeSeries<T>) -> Vec<T>

Should return the non-empty vector of feature values. The length and feature order should correspond to get_names() output

fn get_names(&self) -> Vec<&str>

Should return the non-empty vector of feature names. The length and feature order should correspond to eval() output

fn size_hint(&self) -> usize

Should return the size of vectors returned by eval() and get_names()