Association Functions | Recommendation Functions | Teradata Vantage - Association and Recommendations - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
9.02
9.01
2.0
1.3
Published
February 2022
Language
English (United States)
Last Update
2022-02-10
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B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
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.