Training Table Generation
lag_timesteps
lag_timesteps: <integer>
(Optional)
Description
For forecasting problems, leverage the auto-regressive labels as inputs. This parameter controls the number of previous values should be considered as auto-regressive labels.
- The unit of the forecasting step is the same as the unit in the aggregation (default
days
).
Supported Task Types
- Forecasting
Example
For the following query, a value of lag_timesteps=3
will consider the last 3 weeks’ data points where each of the 3 values are aggregated on 7-day intervals.
Experimental Feature