Hugging Face Trending Papers July 2, 2026

Autorelevance function and other feature relevance measures for univariate time series

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We propose a model agnostic methodology to measure lag relevance in machine learning forecasting models applied to univariate time series. Particularly, we are working in the context of time series using the frameworks of Ghost variables and Shapley values, together with additive importance measures, to introduce the auto-relevance and partial auto-relevance functions as the lag importance values.

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