Struct light_curve_feature::WeightedMean

pub struct WeightedMean {}

Weighted mean magnitude

$$ \bar{m} \equiv \frac{\sum_i m_i / \delta_i^2}{\sum_i 1 / \delta_i^2}. $$ See Mean for non-weighted mean.

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

Implementations

impl WeightedMean

pub fn new() -> Self

Trait Implementations

impl Default for WeightedMean

fn default() -> WeightedMean

Returns the "default value" for a type.

impl<T> FeatureEvaluator<T> for WeightedMean 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()