harrysouthworth/gbt: Gradient Boosted Trees
This package implements J. Friedman's gradient boosting machine. It provides a parallel implementation of gradient boosting with trees for regression problems (squared loss) and binary classification problems (binomial deviance). Includes built-in stratified cross-validation and relative importance (relative influence) of features.
Getting started
Browse package contents
Package details |
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| Author | Alexandre Michelis, Gavin Brown |
| Maintainer | Harry Southworth <harry.southworth@gmail.com> |
| License | GPL 3 |
| Version | 1.1 |
| URL | https://github.com/harrysouthworth/gbt |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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