gbt-package: Gradient Boosted Trees

In harrysouthworth/gbt: Gradient Boosted Trees

Description

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.

Details

Package:	gbt
Type:	Package
Version:	1.0
Date:	2012-08-28
License:	Something between AstraZeneca and The University of Manchester

Author(s)

Alexandre Michelis <[e-mail]>

References

J.H. Friedman, T. Hastie, R. Tibshirani (2009). “The Elements of Statistical Learning: Data Mining, Inference, and Prediction”.

harrysouthworth/gbt documentation built on May 17, 2019, 3:03 p.m.