timbr-package: Unified interface to R's decistion tree models (short line)

In Zelazny7/timbr: What the package does (short line)

Description

timbr provides a unified interface to R's many decision tree models. Functions written to operate on this interface can be used interchangeably regardless of the underlying decision tree algorithm. A function extracting the nodes of a random forest can be used on a gradient boosted model without writing code customized to either model.

Details

Package:	timbr
Type:	Package
Version:	0.5
Date:	2015-02-04
License:	Proprietary

~~ An overview of how to use the package, including the most important functions ~~ TODO

Author(s)

Eric E. Graves

Maintainer: Eric E. Graves <[e-mail]>

Examples

library(randomForest)
rf <- randomForest(mtcars[-1], mtcars[1])
ly <- lumbarYard(rf)
predict(ly, mtcars[-1])

Zelazny7/timbr documentation built on May 10, 2019, 1:57 a.m.