PlanIQ default forecast methods
I was having a conversation with a Partner Success Manager and had a question that we deliberated for a bit without a satisfactory solution. I realize Anaplan PlanIQ would charge basis the number of time series being forecasted. This basically means if I run forecasts with Prophet, Deep AR+, and CNN each, i would pay for 3 different iterations of whatever time series I am forecasting.
However, if i run the Auto MLs, they would skim and compare different forecasting methods - including Deep AR+ and the variants, to give me the best forecast possible. Now on the surface, and I do understand this is a reductive approach, running an autoML will already encompass the other different algorithms, so isn't it economical to run AutoMLs only (although I understand it might take longer to process)?
A better way to understand this for people with less exposure to stat is to answer the questions:
1. Are the AutoMLs a superset of the other algorithms present
2. I understand the difference in the metric that decides best fit - MASE in Anaplan AutoML and quantiles in Amazon Auto ML - but how much would this differ if I run a Prophet vs AutoML?