I'm trying to evaluate the statistical forecast by using Apply Hold Periods.
But when I set them,
the almost of product's best-fit forecast is set to New Item Forecast.
How can I correctly evaluate the forecast?
When evaluating forecasts with holdout periods, ensure the software doesn't default to "New Item Forecast" for most products. This can skew results.
Disclaimer: This is for informational purposes only and may not be applicable to all forecasting software or scenarios. New Jersey DMV
Note: This response focuses on the core issue of the "New Item Forecast" default and its potential impact on evaluation accuracy.
Hi - I cannot seem to create a migration for Assignment 3 and it will not allow me to update the hierarchy and proceed further. It seems to think that a link has already been created, but I don't see anything. Any ideas?
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A quick reminder of the Bulk Copy functionality. Bulk Copy allows you copy large volumes of data from one slice of a model to another in a single, optimised operation, instead of using formulas or imports. Use case: copy a version (RF1) into a prior year version (PY RF1) using a versions list to allow for year-on-year…