Beta 0.4.1

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.