autoarima train_test

Splits dataset into train and test sets. Perform auto arima on the training set to find p, d and q parameters. Use p, d and q parameters to forecast test set using 1 step expanding window forecast.

Input ports

1. Type: Table
   Port 1
   Time series data

Output ports

1. Type: Table
   Forecasted values
   Forecast values vs test set
2. Type: Table
   Score
   Performance scored by numeric scorer
3. Type: Table
   p, d, q parameters
   p, d and q parameters