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As every time we use Exogenous features we need something to explain a posteriori why a feature brings more value than an other one to the final prediction.
Feature importance or SHAP are some tools that we have in MLForecasts
I would love to have somehing similar in Statsforecast, specially for models that accepts exogenous features (like mfles for example)
Use case
I want to add several lags of a feature. I don't know which one brought more value to my final prediction
The text was updated successfully, but these errors were encountered:
GGA-PERSO
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add feature importance for statsforecast models that accepts exogenous features
add feature importance for statsforecast models that accept exogenous features
Jul 2, 2024
Description
As every time we use Exogenous features we need something to explain a posteriori why a feature brings more value than an other one to the final prediction.
Feature importance or SHAP are some tools that we have in MLForecasts
I would love to have somehing similar in Statsforecast, specially for models that accepts exogenous features (like mfles for example)
Use case
I want to add several lags of a feature. I don't know which one brought more value to my final prediction
The text was updated successfully, but these errors were encountered: