I am getting an exception of math3.exception.TooManyEvaluationsException from the spark ts (time series) library during a fitModel call on the ARIMA object; and I am looking for some guidance on why this may be. fitModel is called with (1, 0, 1, ts) and the ts vector is ( 28.0,1.0,1.0,27.0,59.0,145.0,93.0,121.0,134.0,112.0,146.0,143.0,182.0,105.0) I know that is not a lot of samples but it seems odd that I would get an exception when trying to run on such a small vector. The stack trace says it is coming out of this area of the sparkts module: com.cloudera.sparkts.models.ARIMA$.fitWithCSSCGD(ARIMA.scala:196) Is there something I should check for or another method I could use to produce a forecasted series? Thanks.
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