Trait light_curve_feature::FeatureEvaluator

pub trait FeatureEvaluator<T> where
    T: Float, {
    fn eval<'a, 'b>(&self, ts: &mut TimeSeries<T>) -> Vec<T>;
    fn get_names(&self) -> Vec<&str>;
}

Required methods

fn eval<'a, 'b>(&self, ts: &mut TimeSeries<T>) -> Vec<T>

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

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Implementors

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

impl<T> FeatureEvaluator<T> for ReducedChi2 where
    T: Float, 

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

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

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

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

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

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

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

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

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