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The original shap package is currently not maintained. Hence, in its current implementation, shap is not compatible with numpy>=1.24.0,. For details see the following issue shap/shap#2911.
Workaround solution
Hence, XGBoostLSS currently relies on https://github.com/dsgibbons/shap.git. For this package to be properly installed, please avoid installing xgboostlss in a directory/path or conda environment that contains "xgboost/xgboostlss" or any other xgboost related name. Otherwise, the dsgibbons/shap won't turn off cuda building in dsgibbons/shap setup() call and xgboostlss won't install properly. See the following issue dsgibbons/shap#50.
The text was updated successfully, but these errors were encountered:
Description
The original shap package is currently not maintained. Hence, in its current implementation, shap is not compatible with numpy>=1.24.0,. For details see the following issue shap/shap#2911.
Workaround solution
Hence, XGBoostLSS currently relies on
https://github.com/dsgibbons/shap.git
. For this package to be properly installed, please avoid installing xgboostlss in a directory/path or conda environment that contains "xgboost/xgboostlss" or any other xgboost related name. Otherwise, thedsgibbons/shap
won't turn off cuda building indsgibbons/shap setup()
call and xgboostlss won't install properly. See the following issue dsgibbons/shap#50.The text was updated successfully, but these errors were encountered: