Module light_curve_feature::features
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Feature sctructs implements crate::FeatureEvaluator trait
Re-exports§
pub use periodogram::PeriodogramPeaks as _PeriodogramPeaks;
Structs§
- Half amplitude of magnitude
- Unbiased Anderson–Darling normality test statistic
- Bazin function fit
- Fraction of observations beyond $n,\sigma_m$ from the mean magnitude $\langle m \rangle$
- Sampled time series meta-feature
- Cusum — a range of cumulative sums
- Time-series duration
- Von Neummann $\eta$
- $\eta^e$ — modification of Eta for unevenly time series
- Measure of the variability amplitude
- Inter-percentile range
- Excess kurtosis of magnitude
- Slope, its error and reduced $\chi^2$ of the light curve in the linear fit
- The slope, its error and noise level of the light curve in the linear fit
- Linexp function fit
- Magnitude percentage ratio
- Maximum slope between two sub-sequential observations
- Maximum time interval between consequent observations
- Mean magnitude
- Standard deviation to mean ratio
- Median magnitude
- Median of the absolute value of the difference between magnitude and its median
- Fraction of observations inside $\mathrm{Median}(m) \pm q \times (\max(m) - \min(m)) / 2$ interval
- Minimum time interval between consequent observations
- Number of observations
- Otsu threshholding algorithm
- Maximum deviation of magnitude from its median
- Ratio of $p$th inter-percentile range to the median
- Peaks of Lomb–Scargle periodogram and periodogram as a meta-feature
- Reduced $\chi^2$ of magnitude measurements
- Robust median statistic
- Skewness of magnitude $G_1$
- Standard deviation of magnitude $\sigma_m$
- Stetson $K$ coefficient described light curve shape
- Mean time
- Standard deviation of time moments
- Feature extractor transforming output of other feature extractors
- Villar function fit
- Weighted mean magnitude
Enums§
- Logarithm of priors for VillarFit parameters