Hi Team,
We have used the “sparkts-0.4.0.jar” for forecasting the time-series data. Unfortunately, we are not getting correct forecasted values.
When we apply the forecasting the next 50 values on “B column data” after creating the autofit model of ARIMA on same column, as a result we get the constant value for next 50 values.
We are creating the autofit model here using spark-scala code.
Please suggest us, it seems an issue.
Thanks,
Prashant
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