Recent Releases of https://github.com/business-science/modeltime.ensemble
https://github.com/business-science/modeltime.ensemble - modeltime.ensemble 0.4.2
Compatibility with modeltime 0.7.0.
- Calibration: Added "id" feature to enable accuracy and confidence intervals by time series ID.
Improvements (included in modeltime.ensemble 0.4.1)
- Improvements for parallel processing during refitting (available in
modeltime0.6.0). - Requires
modeltime0.6.0 andparsnip0.1.6 to align with xgboost upgrades.
- R
Published by mdancho84 over 4 years ago
https://github.com/business-science/modeltime.ensemble - Modeltime Ensemble 0.4.0
Recursive Ensembles
recursive()- Therecursive()function is extended to recursive ensembles for both single time series and multiple time series models (panel data).- "Forecasting with Recursive Ensembles" - A new forecasting vignette for using
recurive()with ensembles.
Fixes
modeltime_forecast()now returnsNAwhen missing values are present in the sub-model predictions.
- R
Published by mdancho84 almost 5 years ago