Relevant changes and new features (excluding documentation improvements and bugfixes):
- #603 introduce
__version__
- #619 Allow missing values left unimputed - drop affected areas
- #641 Global modeling: accept DataFrame with IDs (deprecating dict of df)
- #658 introduce Future regressor positivity constraint
- #664 increase torch minimum required to 1.8.0
- #669 introduce uncertainty estimation via Quantile Regression
- #671 introduce Plotly support
- #673 add Network Visualization tutorial
- #691 introduce save and load
- #701 introduce
get_latest_forecast
- #714 support regularization for lagged regressors
- #800 increase last trend segment stability, setting
changepoints_range
to 0.8
Additionally, many bugfixes and improvements to the codebase and documentation were also introduced.
For details, please view the merged Pull Requests.