A package that helps you deploy your
Our own implementation of new and classic time series models, providing an additional order of magnitude speedup during backtesting (while supporting online updates when deployed).
Time Series AutoML without lookahead bias, to get accurate simulated performance on past data that you can rely on.
Training models on multiple time series at the same time, with synchronized Adaptive Models.
Full support for Uncertainty Quantification, making it an internal part of Fold.
And many more…