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nvkost avatar nvkost commented on August 17, 2024

Hi. This can be done by transforming variable before fitting the model.

Perhaps you want to predict a non-negative variable like the price or quantity. Let the variable be y. Then you need to define new variable lny = ln(y), fit the model on lny, make a prediction lny_pred and apply inverse transformation exp(lny_pred). Or you can use sqrt instead of ln and x ** 2 instead of exp.

But be careful because such transformations tend to bias the estimates of expectation and confidence intervals. If you need to get unbiased estimates, then you need to either calculate a correction for the resulting forecast or conduct a Monte Carlo.

References:

from pmdarima.

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