We missed that, sorry. At the moment, for forecasting the pipeline uses the mlforecast library (https://github.com/nixtla/mlforecast) that builds upon sklearn, xgboost and lightgbm. In addition, we are about to include state-of-the-art Deep Learning models from the nixtlats library (https://github.com/nixtla/nixtlats/).