On-demand activity feature generation for machine learning models

Technologies for generating user activity features for machine learning models on demand. The system receives a request for a user activity feature and a timestamp from a machine learning model, determines a data access mechanism, time window and feature computation algorithm, retrieves event and attribute data from a real-time data store, computes the feature and returns it to the model.