Node harvest is a simple interpretable tree-like estimator for high-dimensional regression and classification. A few nodes are selected from an initially large ensemble of nodes, each associated with a positive weight. New observations can fall into one or several nodes and predictions are the weighted average response across all these groups. The package offers visualization of the estimator. Predictions can return the nodes a new observation fell into, along with the mean response of training observations in each node, offering a simple explanation of the prediction.

Install the latest version of this package by entering the following in R:

`install.packages("nodeHarvest")`

Author | Nicolai Meinshausen |

Date of publication | 2015-06-12 23:29:00 |

Maintainer | Nicolai Meinshausen <meinshausen@stat.math.ethz.ch> |

License | GPL-3 |

Version | 0.7-3 |

http://stat.ethz.ch/~nicolai |

NAMESPACE

data

data/BostonHousing.rda

R

R/print.nodeHarvest.R
R/getw.R
R/getsamples.R
R/predict.nodeHarvest.R
R/nodeHarvest.R
R/makepostree.R
R/plot.nodeHarvest.R
R/getRULES.R
R/dectobin.R
R/getI.R
R/adjustmeans.R
R/makeRules.R
R/is.inf.R
R/drawtext.R
MD5

DESCRIPTION

man

man/BostonHousing.Rd
man/predict.nodeHarvest.Rd
man/nodeHarvest.Rd
man/plot.nodeHarvest.Rd
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.

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