GitHub - fabsig/GPBoost: Combining tree-boosting with Gaussian process and mixed effects models

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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

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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 ,