0.1.2
Pre-release
Pre-release
- fixed bug in choosing best model
- breaking change of MedValueNaive, moved into new AvgValueNaive
- increased speed by only saving detailed model results when ensembling
- improved handling of data with large numbers of NaN, prints warning now if NaN in any test set
- experimental option to save model results during run, allowing progress recovery if crashes
- added max_per_model_class option to prevent one model from predominating after many iterations
- added weekly sample data (from EIA)
- added GluonTS models
- added TSFreshRegressor (albeit in a very slow version)