- improve sample efficiency (#28)
- simplify installation (#26)
- support pre-fitted estimators (#19)
- fix imports when darts is not available (#16)
- add Darts forecaster (#14)
- only convert dtype when target dtype is not integer (#12)
- improve dtype handling in CoherentLinearQuantileRegressor (#10)
- xfail sklearn's check_regressors_int (#9)
- round quantiles when target is integer (#7)
- improve coherence with intercept clipping (#5)
- round when target is integer (#6)
- make dependency on numpy and scipy explicit (#4)
- add Conformal Coherent Quantile Regression (#3)