16.20 - Teradata Analytic Functions for Release 16.20 Update 1 - Teradata Vantage NewSQL Engine

Teradata Vantageā„¢ NewSQL Engine Release Summary

prodname
Teradata Database
Teradata Vantage NewSQL Engine
vrm_release
16.20
created_date
March 2019
category
Release Notes
featnum
B035-1098-162K

Teradata analytic functions analyze ordered data. Ordered data is time series data, such as clickstreams, financial transactions, and online user interactions. The following Teradata analytic functions are new for Teradata Database 16.20 Feature Update 1:

Function Name Description
Attribution Calculates attributions with a wide range of distribution models. Often used in web-page analysis.
DecisionTreePredict Uses the model generated by the ML Engine DecisionTree function to analyze the input data and make predictions.
GLMPredict Uses the model generated by the ML Engine GLM function to analyze the input data and make predictions.
NaiveBayesPredict Uses the model generated by the ML Engine Naive Bayes Classifier function to analyze the input data and make predictions.
NaiveBayesTextClassifierPredict Uses the model generated by the ML Engine NaiveBayesTextClassifierTrainer function to analyze the input data and make predictions.
NPath Performs regular pattern matching over a sequence of rows from one or more inputs.
RandomForestPredict Uses the model generated by the ML Engine RandomForest function to analyze the input data and make predictions.
Sessionize Maps each click in a clickstream to a unique session identifier.
SVMSparsePredict Uses the model generated by the ML Engine SVMSparse function to analyze the input data and make predictions.

Additional Information

For more information about Teradata analytic functions, see Teradata Vantageā„¢ - NewSQL Engine Analytic Functions, B035-1206.