FEDOT.Industrial: an AutoML framework for industrial tasks (ENG SUBS)

The framework automates the development of predictive data-driven models for full-cycle technical systems using evolutionary optimization methods; supports the tasks of forecasting, classification and anomaly detection for one-dimensional and multi-dimensional time series, as well as spatio-temporal variables of various natures. Demonstration by: Ilya Revin, Composite AI Lab Researcher Made by Research Centre "Strong Artificial Intelligence in Industry", ITMO University, Saint Petersburg, Russia