Module features

Source
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Feature sctructs implements crate::FeatureEvaluator trait

Structs§

Amplitude
Half amplitude of magnitude
AndersonDarlingNormal
Unbiased Anderson–Darling normality test statistic
BazinFit
Bazin function fit
BeyondNStd
Fraction of observations beyond $n,\sigma_m$ from the mean magnitude $\langle m \rangle$
Bins
Sampled time series meta-feature
Cusum
Cusum — a range of cumulative sums
Duration
Time-series duration
Eta
Von Neummann $\eta$
EtaE
$\eta^e$ — modification of Eta for unevenly time series
ExcessVariance
Measure of the variability amplitude
InterPercentileRange
Inter-percentile range
Kurtosis
Excess kurtosis of magnitude
LinearFit
Slope, its error and reduced $\chi^2$ of the light curve in the linear fit
LinearTrend
The slope, its error and noise level of the light curve in the linear fit
LinexpFit
Linexp function fit
MagnitudePercentageRatio
Magnitude percentage ratio
MaximumSlope
Maximum slope between two sub-sequential observations
MaximumTimeInterval
Maximum time interval between consequent observations
Mean
Mean magnitude
MeanVariance
Standard deviation to mean ratio
Median
Median magnitude
MedianAbsoluteDeviation
Median of the absolute value of the difference between magnitude and its median
MedianBufferRangePercentage
Fraction of observations inside $\mathrm{Median}(m) \pm q \times (\max(m) - \min(m)) / 2$ interval
MinimumTimeInterval
Minimum time interval between consequent observations
ObservationCount
Number of observations
OtsuSplit
Otsu threshholding algorithm
PercentAmplitude
Maximum deviation of magnitude from its median
PercentDifferenceMagnitudePercentile
Ratio of $p$th inter-percentile range to the median
Periodogram
Peaks of Lomb–Scargle periodogram and periodogram as a meta-feature
ReducedChi2
Reduced $\chi^2$ of magnitude measurements
Roms
Robust median statistic
Skew
Skewness of magnitude $G_1$
StandardDeviation
Standard deviation of magnitude $\sigma_m$
StetsonK
Stetson $K$ coefficient described light curve shape
TimeMean
Mean time
TimeStandardDeviation
Standard deviation of time moments
Transformed
Feature extractor transforming output of other feature extractors
VillarFit
Villar function fit
WeightedMean
Weighted mean magnitude

Enums§

BazinInitsBounds
BazinLnPrior
LinexpInitsBounds
LinexpLnPrior
VillarInitsBounds
VillarLnPrior
Logarithm of priors for VillarFit parameters