Lightwood

Features
- [ENH] PyOD analysis block (983)
- [ENH] Infer offset in SkTime mixers (989)

Fixes
- [Fix] minor idx error in fh setting (991)
- [Fix] stacked ensemble agg_dim (992)

* * *

[Benchmarks](http://benchmarks.mindsdb.com:9107/compare/best/a7b02e6cfc54b7fb1844e3b69efbd3695eb6b58f)

Changelog

Features

- Conformal forecasting 862
- Improved JsonAI templating for analysis blocks 960
- Some feature importance changes 961

Fixes
- Default NHITS space params 956
- Add data limits to PFI block 963

Changelog

Features
- [ENH] New defaults for sktime mixer, new AutoETS and AutoARIMA mixers (946)
- [ENH] Enforce bounded_ts_accuracy as default (950)

Fixes
- fix quick start guide 943 (thanks to ameliatheamazin!)
- [FIX] kwarg setting for LightGBM GPU (944)
- [FIX] Hotfix: use defaults in new groups (952)

Other
- [FIX] New bias description (947)
- [ENH] Message for missing values (948)

Features
- [ENH] Add `tn_conf` for categorical targets (936)

Bug fixes
- Better `sp` detection (935)
- Various small fixes (940)

Others
- Change supported Python versions to 3.7 and 3.8 (930)
- Use `prophet 1.1` with wheels (911, thanks abitrolly !)
- `order_by` is now a single column 938

[Benchmarks](http://benchmarks.mindsdb.com:9107/compare/best/75fa8cf369a159ade97dc50a912e443d6ad63bb1)

Features
* Experimental `N-HITS` forecasting mixer (886)
* Differencing blocks for time series tasks (903)
* Linear tree for `LightGBMArray` mixer (902)
* STL decomposition blocks for time series tasks (907)

Fixes
* Restored `statsforecast` as default backend for `ARIMA` models (904)

Other
N/A

Changelog

Features
* 894

Fixes
* 889
* 895
* 896
* 897

Other
* 789

Benchmarks:
* [8b07e93](http://benchmarks.mindsdb.com:9107/compare/best/8b07e936cc0dccf4a96dab3d19fbe9e1545eced8)
* [b92c8fd](http://benchmarks.mindsdb.com:9107/compare/best/b92c8fd4191456ba5e6e9f9306f4d39be73a270c)