• XGBoost

  • Referenced in 139 articles [sw21035]
  • XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible ... implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting...
  • mboost

  • Referenced in 69 articles [sw07331]
  • package mboost: Model-Based Boosting. Functional gradient descent algorithm (boosting) for optimizing general risk functions...
  • gbm

  • Referenced in 59 articles [sw07994]
  • Generalized Boosted Regression Models. This package implements extensions to Freund and Schapire ... AdaBoost algorithm and Friedman’s gradient boosting machine. Includes regression methods for least squares, absolute...
  • LightGBM

  • Referenced in 24 articles [sw27912]
  • LightGBM: A highly efficient gradient boosting decision tree. A fast, distributed, high performance gradient boosting...
  • xgboost

  • Referenced in 20 articles [sw15875]
  • package xgboost. Extreme Gradient Boosting, which is an efficient implementation of gradient boosting framework. This ... than 10 times faster than existing gradient boosting packages. It supports various objective functions, including...
  • ada

  • Referenced in 17 articles [sw09505]
  • Package for Stochastic Boosting. Boosting is an iterative algorithm that combines simple classification rules with ... highly accurate classification rule. Stochastic gradient boosting provides an enhancement which incorporates a random mechanism ... together with a version of stochastic gradient boosting. In addition, useful plots for data analytic...
  • FDboost

  • Referenced in 14 articles [sw15823]
  • package FDboost: Boosting Functional Regression Models. Regression models for functional data, i.e., scalar-on-function ... fitted by a component-wise gradient boosting algorithm...
  • CatBoost

  • Referenced in 7 articles [sw31560]
  • CatBoost: gradient boosting with categorical features support. In this paper we present CatBoost ... open-sourced gradient boosting library that successfully handles categorical features and outperforms existing publicly available ... implementations of gradient boosting in terms of quality on a set of popular publicly available ... which are significantly faster than other gradient boosting libraries on ensembles of similar sizes...
  • erboost

  • Referenced in 10 articles [sw26258]
  • erboost: Nonparametric Multiple Expectile Regression via ER-Boost. Expectile regression is a nice tool ... package implements a regression tree based gradient boosting estimator for nonparametric multiple expectile regression...
  • h2o

  • Referenced in 9 articles [sw17104]
  • algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep...
  • ATPboost

  • Referenced in 4 articles [sw28626]
  • fast state-of-the-art XGBoost gradient boosting algorithm. Learning in the binary setting however...
  • HIBITS

  • Referenced in 4 articles [sw30626]
  • mixed model, models for ordinal data, gradient boosting, decision tree and random forest. Using...
  • GBMCI

  • Referenced in 2 articles [sw11476]
  • gradient boosting algorithm for survival analysis via direct optimization of concordance index. Survival analysis focuses ... ensemble model is trained using a gradient boosting method to optimize a smoothed approximation ... software package called GBMCI ( gradient boosting machine for concordance index) and benchmarked the performance...
  • FastBDT

  • Referenced in 2 articles [sw19837]
  • cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification. Stochastic gradient-boosted...
  • PyGPGO

  • Referenced in 2 articles [sw41576]
  • Processes, Student-t Processes, Random Forests, Gradient Boosting Machines. Type II Maximum-Likelihood of covariance...
  • NucPosPred

  • Referenced in 2 articles [sw24770]
  • with consideration of two classification algorithms (gradient-boosting decision tree and support vector machine...
  • SoilGrids250m

  • Referenced in 2 articles [sw27798]
  • machine learning methods—random forest and gradient boosting and/or multinomial logistic regression—as implemented...
  • PSPSO

  • Referenced in 1 article [sw39417]
  • Multi-Layer Perceptron (MLP), Extreme Gradient Boosting (XGBoost) and Gradient Boosting Decision Trees (GBDT). PSPSO...
  • gbev

  • Referenced in 1 article [sw16487]
  • package gbev: Gradient boosted regression trees with errors-in-variables. This package performs non-parametric ... error. The models are estimated using gradient boosted regression trees. Regression is performed using squared...
  • SurvBoost

  • Referenced in 1 article [sw23772]
  • Stratified Proportional Hazards Model via Gradient Boosting. High-dimensional variable selection in the proportional hazards ... SurvBoost, is developed to implement the gradient boosting algorithm for fitting the SPH model with...