1.1 - 8.10 - Association and Recommendations - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Teradata Vantage
Release Number
October 2019
Content Type
Programming Reference
Publication ID
English (United States)
Function Description
BasketGenerator (ML Engine) Creates baskets (sets) of items that occur together in data records (typically transaction records or web page logs).
CFilter (ML Engine) General-purpose collaborative filter. Helps discover which items or events are frequently paired with other items or events.
FPGrowth (ML Engine) Uses an FP-growth algorithm to create association rules from patterns in a data set and then determines their interestingness.
Fellegi-Sunter Functions (ML Engine) FellegiSunter estimates the parameters of the Fellegi-Sunter model, using either supervised or unsupervised learning. FellegiSunterPredict predicts whether a pair of objects are duplicates.
Recommender Functions (ML Engine) Predict the ratings or preferences that users assign to books, songs, movies, and other products.