1.1 - 8.10 - ShapeletSupervisedClassifier Syntax Elements - 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)
[Optional] Specify the name of the InputTable column that contains the data points in the time series.
Default: "value"
[Optional] Specify the number of data points in a time series to skip between consecutive time series windows when calculating the distance of a shapelet from a time series.
Because a shapelet is typically much smaller than a complete time series, the function calculates the distance of a shapelet from a time series by sliding the shapelet across time series windows of shapelet length, calculating the distance between the shapelet and each window, and then selecting the smallest distance.
The num_data_points is the number of data points to skip when sliding from one time series window to the next. The num_data_points must be an INTEGER in the range [1, 1000000]. The value 1 gives optimal results at the cost of higher execution time.
This syntax element must specify the same value as the ShapeletSupervised TimeInterval syntax element specified when it created the shapelets table.
Default: 10
[Optional] Specify the names of the InputTable columns to copy to the output table. Columns specified by this syntax element appear after the other output table columns.
Default: id and predicted_category