Relevant new features:
- #961 GPU (and other accelerator) support
- #888 Plot multiple sets of parameters due to Glocal model as mean and 10/90 percentiles.
- #779 New panel in
plot_forecastdepicting uncertainty - #884 Plot select panels in plot_parameters and plot_components
API and modeling changes:
- #837 Migrate backend to PyTorch Lightning
- #929 remove support for dictionaries as inputs. Please use a single DataFrame with an ID column for each time series
- #984 deprecation warning: upcoming change of plotting backend to plotly (matplotlib support will be dropped in future)
- #927 remove addition of residuals to forecast dataframe and subsequent plotting
Important fixes and enhancements:
- #978 Fix None dtypes to NAN
- #968 Sort changepoints
- #919 backwards compatibility for
plot_latest_forecast - #981 Add type annotations for
NeuralProphetclass - #853 new argument for setting custom quantile in
plot_parameters - #808 Do not plot weekend seasonality for business day data frequency
Additionally, many smaller bugfixes and improvements to the codebase were also introduced.
For details, please view the merged Pull Requests.