Events Aggregation Plugin

Feature Factory is our global initiative for automated feature engineering. It aims to reduce the countless hours data scientists spend building insightful features.

The first outcome of this initiative is the EventsAggregator plugin, which works with data where each row records a specific action, or event, and the timestamp of when it occurred. Web logs, version histories, medical and financial records, and machine maintenance logs are all examples of events data.

The plugin can generate more than 20 different types of aggregated features per aggregation group, such as the frequency of the events, recency of the events, the distribution of the features, etc., over several time windows and populations that you can define. The generated features can outperform raw features when training machine learning algorithms.