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.