light-curve-feature is a part of light-curve family that
implements extraction of numerous light curve features used in astrophysics.
All features are available in Feature enum, and the recommended way to extract multiple features at
once is FeatureExtractor struct built from a Vec<Feature>. Data is represented by
TimeSeries struct built from time, magnitude (or flux) and weights arrays of the same length. Note
that multiple features interprets weight array as inversed squared observation errors.
```rust use lightcurvefeature::*;
// Let's find amplitude and reduced Chi-squared of the light curve
let fe = FeatureExtractor::<_, Feature<_>>::new(vec![Amplitude::default().into(), ReducedChi2::default().into()]);
// Define light curve
let time = [0.0, 1.0, 2.0, 3.0, 4.0];
let magn = [-1.0, 2.0, 1.0, 3.0, 4.5];
let weights = [5.0, 10.0, 2.0, 10.0, 5.0]; // inverse squared magnitude errors
let mut ts = TimeSeries::new(&time, &magn, &weights);
// Get results and print
let result = fe.eval(&mut ts)?;
let names = fe.get_names();
println!("{:?}", names.iter().zip(result.iter()).collect::
```
There are a couple of meta-features, which transform a light curve before feature extraction. For example Bins feature which accumulate data inside time-windows and evaluate features on this new light curve
```rust use lightcurvefeature::*; use ndarray::Array1;
// Define features, "raw" MaximumSlope and binned with zero offset and 1-day window let maxslope: Feature<_> = MaximumSlope::default().into(); let bins: Feature<_> = { let mut bins = Bins::new(1.0, 0.0); bins.addfeature(maxslope.clone()); bins.into() }; let fe = FeatureExtractor::<_, Feature<_>>::new(vec![maxslope, bins]); // Define light curve let time = [0.1, 0.2, 1.1, 2.1, 2.1]; let magn = [10.0, 10.1, 10.5, 11.0, 10.9]; // We don't need weight for MaximumSlope, this would assign unity weight let mut ts = TimeSeries::newwithoutweight(&time, &magn); // Get results and print let result = fe.eval(&mut ts)?; println!("{:?}", result);
```