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.