| Argument | Category | Description |
|---|---|---|
| ValueColumn | Optional | Specifies the name of the time_series column that contains the data points in the time series. The default value_column is "value". |
| TimeInterval | Optional | Specifies 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. The default value is 10. This argument must specify the same value as the SupervisedShapeletTrainer TimeInterval argument specified when it generated the shapelets table.
|
| Accumulate | Optional | Specifies the names of the time_series columns to copy to the output table. By default, only the id and predicted_category columns are copied to the output table. Columns specified by this argument appear after the other output table columns. |