Interpolator - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.00
1.0
Published
May 2019
Language
English (United States)
Last Update
2019-11-22
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B700-4003
lifecycle
previous
Product Category
Teradata Vantage™

The Interpolator function calculates missing values in a time series, using either interpolation or aggregation. Interpolation estimates missing values between known values. Aggregation combines known values to produce an aggregate value.

The time intervals between calculated values can either be the same length (specified by the TimeInterval argument) or have specific start and end times (specified by time_table). The choice of TimeInterval or time_table affects the behavior of interpolation, but not aggregation.