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GPBoost is a software library for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. The GPBoost library is predominantly written in C++, and there exist both a ....

Weidong Ma , Yan Liu , Taifeng Wang , Wei Chen , Sigrist Fabio , Thomas Finley , Qi Meng , Combining Tree Boosting , Gaussian Process , Mixed Effects , Gaussian Model , Highly Efficient Gradient Boosting Decision , Neural Information Processing Systems , Apache License , யான் லியூ , வெய் சென் , தாமஸ் பின்லே , கலப்பு விளைவுகள் , நரம்பியல் தகவல் ப்ரோஸெஸிஂக் அமைப்புகள் , அப்பாச்சி உரிமம் ,