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I trained an XGBoost regressor, and I'm looking for a way to interpret new instances that the model will receive in production. There's a nice solution for classification models (Lime), but it doesn't offer explanations to regression problems.

Does anyone know of an existing "explainer" for regressions?

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Lime introduced support for regression problems in their latest version. A notebook with examples is available here.

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