Releases
0.3.4
Latest
improvements to joblib parallelized models (not copying the full df)
additonal parameter checks
made "auto" cpu_count even more conservative
improved 'Score' generation. It should now be more equally weighted across metrics.
fixed potential bug for horizontal ensemble selection if perfect forecasts were delivered
Horizontal ensembles now chosen by combination of multiple metrics and metric_weighting (mae, rmse, spl, contour)
re-weighted fillna probabilities for random choice
addressed a few deprecation warnings
new plot_horizontal() function for AutoTS to quickly visual horizontal ensembles
Probabilistic and HDist ensembles are now deprecated (they can still be run by model_forecast but not by AutoTS class)
new introduce_na parameter which makes series more robust to the last values being NaN in final but never in any validation
Mosaic Ensembles! These can offer major improvements to MAE, but are also less stable than horizontal ensembles.
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