I have a model that was generated using ML .Net Model Builder. I am using the ForecastBySsa engine. I cannot manually recreate the same results. I can use the same settings for the fitting (as provided in the auto-generated console app), but the model predictions from my code using the same data produces different results. Is the Model Builder adding/adjusting optional parameters for the fitting? How can I discover the parameters used so I can rebuild the model without using Model Builder? This is true for even the simplest data set (see below).
for example here's my data:
Time Data
1/1/2019 4:45 0.000135722
1/1/2019 5:00 0.001085629
1/1/2019 5:15 0.000406669
1/1/2019 5:30 -0.000677507
1/1/2019 5:45 0.00040678
1/1/2019 6:00 0.00067769
1/1/2019 6:15 -0.000270893
1/1/2019 6:30 -0.000812898
1/1/2019 6:45 0.000542373
1/1/2019 7:00 0.002032796
Prediction from Model Builder: 0.0007719097
Prediction from retrained model (using the same data and windowSize, seriesLength, horizon) 0.00051951635
