Missing Value

Handle missing values effectively in your time series data for reliable exponential smoothing models.

Input time series can contain missing values. A NULL entry in the target column indicates a missing value. When the time column is of the type datetime, the accumulation procedure can also introduce missing values. The setting EXSM_SETMISSING can be used to specify how to handle missing values. The special value EXSM_MISS_AUTO indicates that, if the series contains missing values it is to be treated as an irregular time series.

Note:

Missing value handling setting must be compatible with model setting, otherwise an error is thrown.