Struct light_curve_feature::MedianBufferRangePercentage

pub struct MedianBufferRangePercentage<T> where
    T: Float,  { /* fields omitted */ }

Fraction of observations inside $\mathrm{Median}(m) \pm q \times \mathrm{Median}(m)$ interval

$$ \mathrm{median~buffer~range}~q~\mathrm{percentage} \equiv \frac{\sum_i I_{|m - \mathrm{Median}(m)| < q\,\mathrm{Median}(m)}(m_i)}{N}, $$ where $I$ is the indicator function, and $N$ is the number of observations.

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

D’Isanto et al. 2016 DOI:10.1093/mnras/stw157

Implementations

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

pub fn new(quantile: T) -> Self

pub fn set_name(&mut self, name: String)

Trait Implementations

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

fn clone(&self) -> MedianBufferRangePercentage<T>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

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

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

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

fn default() -> Self

Returns the "default value" for a type.

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

fn eval(&self, ts: &mut TimeSeries<'_, T>) -> Result<Vec<T>, EvaluatorError>

Should return the vector of feature values

fn get_info(&self) -> &EvaluatorInfo

Get feature evaluator meta-information

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

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

fn eval_or_fill(&self, ts: &mut TimeSeries<'_, T>, fill_value: T) -> Vec<T>

fn size_hint(&self) -> usize

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

fn min_ts_length(&self) -> usize

Should return minimum time series length to successfully find feature value

fn is_t_required(&self) -> bool

fn is_m_required(&self) -> bool

fn is_w_required(&self) -> bool

fn is_sorting_required(&self) -> bool

fn check_ts_length(
    &self,
    ts: &TimeSeries<'_, T>
) -> Result<usize, EvaluatorError>