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jay15summer avatar

jay15summer/Two-stage-TrAdaboost.R2

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46 stars·14 forks·Python·2 views

Two Stage TrAdaboost.R2

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…

Features

  • Gradient Boosting Research - Boosting for regression transfer learning.

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Frequently asked questions

What does jay15summer/two-stage-tradaboost.r2 do?

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…

What are the main features of jay15summer/two-stage-tradaboost.r2?

The main features of jay15summer/two-stage-tradaboost.r2 are: Gradient Boosting Research.

What are some open-source alternatives to jay15summer/two-stage-tradaboost.r2?

Open-source alternatives to jay15summer/two-stage-tradaboost.r2 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.