DARTS – Unifying time series forecasting
Time series are everywhere in science and business, and the ability to forecast them accurately and efficiently can provide decisive advantages. Darts is an open-source Python library that provides a wide variety of forecasting models and tools under a single and user-friendly API. It emphasizes reducing the experiment cycle duration and improving the ease of using, comparing, and combining different models, from ARIMA to deep learning models.
This talk will give a tour of Darts and some of its main features, such as quick creation and comparison of forecasting models, backtesting, and ML-based models applied to time series forecasting. We will review a few toy examples and see how to address them in a few lines of code.