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Aside of being able to get prediction intervals with upper and lower bounds, enable the ability to predict intervals so that x% of the distribution is covered.
Use case
In inventory management you are typically given a target Customer Service Level. In other words, more than the interval which covers the 80% of the distribution and cuts the left and right tails of the distribution, the interesting datum is the 80% quantile, which takes into account the left tail of the distribution.
I am not sure if this is already possible, but I couldn't find it in the documentation nor the tutorials.
The text was updated successfully, but these errors were encountered:
Description
Aside of being able to get prediction intervals with upper and lower bounds, enable the ability to predict intervals so that x% of the distribution is covered.
Use case
In inventory management you are typically given a target Customer Service Level. In other words, more than the interval which covers the 80% of the distribution and cuts the left and right tails of the distribution, the interesting datum is the 80% quantile, which takes into account the left tail of the distribution.
I am not sure if this is already possible, but I couldn't find it in the documentation nor the tutorials.
The text was updated successfully, but these errors were encountered: