# Type alias ForecastFormulaOptions
ForecastFormulaOptions:
object
Forecast formula options.
# Type declaration
# confidenceInterval
confidenceInterval?: number
Confidence interval showing the probabilistic upper and lower limits of the forecasted series according to the uncertainty level. The valid range is (0.8 <= X < 1).
# Default Value
0.8
# endDate
endDate?: Date | string
End date of the time series data that the forecasting model will be trained on. This parameter can be used to discard the end of the series. Specify a ISO 8601 date string or Date object.
# forecastHorizon
forecastHorizon?: number
Number of data points to be predicted. The accepted value range is between 1-1,000
# Default Value
3
# lowerBound
lowerBound?: number
Expected lower limit to improve the forecast accuracy when reaching the limit. Note that values in the confidence interval can exceed this limit.
# modelType
modelType?: "auto" | "autoArima" | "holtWinters" | "prophet"
Forecasting model type. The 'auto' option automatically fits the best combination of models.
# Default Value
"auto"
# roundToInt
roundToInt?: boolean
Boolean flag to round the predicted result to an integer if set to true. Otherwise, the predicted result is left as a float
# Default Value
false
# startDate
startDate?: Date | string
Start date of the time series data that the forecasting model will be trained on. This parameter can be used to discard the beginning of the series. Specify a ISO 8601 date string or Date object.
# upperBound
upperBound?: number
Expected upper limit to improve the forecast accuracy when reaching the limit. Note that values in the confidence interval can exceed this limit.