- predicted_shape = o$predictShape(today, memory, horizon, ...)
- predicted_delta = private$.pjump(private$.data,today,memory,horizon,private$.params,...)
+ predicted_shape = self$predictShape(today, memory, horizon, ...)
+ predicted_delta = private$.pjump(
+ private$.data, today, memory, horizon, private$.params, ...)