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This is a boosting based transfer learning algorithm for regression tasks (TwoStageTrAdaBoostR2) that is proposed by Pardoe et al. in paper "Boosting for Regression Transfer (ICML 2010)". The program TwoStageTrAdaBoostR2 contains two main classes that are written in scikit-learn style and the…
The main features of jay15summer/two-stage-tradaboost.r2 are: Gradient Boosting Research.
Projects with overlapping indexed features include: ajoo/nrgboost — This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025). amirsaffari/online-multiclass-lpboost — Online Multi-Class LPBoost. andymiller/vboost — code for Variational Boosting: Iteratively Refining Posterior Approximations. anitan0925/resfgb — Remark: The code is updated from the ICML version. The ICML version corresponds to a commit on May 25, 2018. arogozhnikov/infiniteboost — Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov,… aciditeam/acidano.
This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025).
Online Multi-Class LPBoost
code for Variational Boosting: Iteratively Refining Posterior Approximations
