1.0 - 8.00 - ShapeletSupervisedClassifier Arguments - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Teradata Vantage
Release Number
Release Date
May 2019
Content Type
Programming Reference
Publication ID
English (United States)
[Optional] Specify the name of the time_series 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 argument must specify the same value as the ShapeletSupervised TimeInterval argument specified when it created the shapelets table.
Default: 10
[Optional] Specify the names of the time_series columns to copy to the output table. Columns specified by this argument appear after the other output table columns.
Default: id and predicted_category