Description Usage Arguments Value See Also
Build a nonlinear auto-regressive time-series forecasting with exogenous input
| 1 2 | build_narx(learner_func, p, P = 0, d = 0, D = 0, freq = 1,
  lambda = NULL, ...)
 | 
| learner_func | Non-linear learning function | 
| p | Auto-regressive order | 
| P | Seasonal auto-regressive order | 
| d | Model differencing order | 
| D | Seasonal differencing order | 
| freq | Time-series periodicity | 
| lambda | Box-Cox transform's lambda | 
| ... | Extra parameters passed to  | 
A NARX model object
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