KernelExplainer是SHAP库中的一个类,用于为任何模型提供SHAP值解释。它并不特定于任何模型类型,而是一种模型无关的解释方法。 在SHAP的官方文档中,KernelExplainer类的属性并不包括shap_interaction_values。 检查'shap_interaction_values'是否为'kernelexplainer'的合法属性: 根据官方文档和社区讨论,KernelExplainer对象默...
SHAP Interaction values with Automated Predictive (APL) marc_daniau Product and Topic Expert 2023 Jun 23 3:42 PM 2 Kudos 982 SAP Managed Tags: Machine Learning, Python, SAP HANA We already covered SHAP-explained models for classification and regression scenarios in a previous APL ...
Hi, I was giving the DeepExplainer a try for estimating the shap interaction value, but received the following error message: AttributeError: 'DeepExplainer' object has no attribute 'shap_interaction_values' Are there plans to include th...
Financial institutions, investors, mining companies and related firms need an effective accurate forecasting model to examine gold price fluctuations in order to make correct decisions.This paper proposes an innovative approach to accurately forecast gold price movements and to interpret predictions. First,...
Hi @slundberg , I was looking at the code and was wondering why Sabaas values are not supported for LightGBM and Catboost models. On the surface of it, it looks as though removing the assertions could see the algorithm use the C extensio...