gbm-developers/gbm3: Generalized Boosted Regression Models
Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMART).
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | |
| License | GPL (>= 2) |
| Version | 3.0 |
| URL | https://github.com/gbm-developers/gbm3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
