If the horizon for a data collection is changed, is it needed to:
A forecast horizon is the length of time for which forecasts are generated. While there isn't a specific concept of a "forecast horizon" within data collection itself, changes to the amount of historical data, related data, or attribute data can impact the forecast horizon of a model.
For example, if you are using the Anaplan Prophet algorithm with 12 months of historical data, your forecast horizon might be 6 months. If you increase your historical data to 24 months, your forecast horizon is 12 months.
In such a case, you would need to first "rerun data assembly" and then retrain the forecast model.
Hi, I have a worksheet for end users to enter new hires into, for which the list item which persist across versions. I am having an issue where the end user can delete a list item using the grid functionality because the Current Version value is blank, but I want to prevent them deleting them (as data will be lost from…
Hey everyone, I wanted to share the Anaplan Python SDK with you. It's a Python Library that wraps all Anaplan APIs and makes it easier to interact with Anaplan programmatically. It is mostly designed with Data Integration Scenarios in mind, but it does support all APIs including ALM, SCIM, Audit, and Cloud Works. Please…
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