TD_SIMPLEEXP

The Simple Exponential Smoothing (aka, Single Exponential Smoothing) approach employs a forecasting model that uses only the “level” modeling component to accomplish the forecasting of the original series.

Input ports

1. Type: DB Session
   Teradata Connection
   Connection to a Teradata Database Instance
2. Type: Table
   Input
   Passed in a logical univariate series, this function will forecast “h” periods (“h” steps) into the future, meaning “h” periods beyond the last observed sample point for the passed in series. This function outputs up to three result sets. The primary result set contains the historical data points, the forecasted data points, and the prediction level data points. This result set can be retrieved by issuing a SELECT against the analytical result table. The optional secondary result set contains a collection of goodness-of-fit metrics, roughly equivalent to those returned by the independent TD_FIT_METRICS function. The optional tertiary result set contains the residual series, associated with the forecasting operation.

Output ports

1. Type: Table
   output of TD_SIMPLEEXP
   output of TD_SIMPLEEXP