nodeHarvest v0.7-3


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Node Harvest for Regression and Classification

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.

Functions in nodeHarvest

Name Description
plot.nodeHarvest plot method for Node Harvest objects
nodeHarvest Node Harvest
predict.nodeHarvest predict method for Node Harvest objects
BostonHousing BostonHousing
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Type Package
Date 2015-06-10
License GPL-3
Packaged 2015-06-10 18:34:10 UTC; meinsn
NeedsCompilation no
Repository CRAN
Date/Publication 2015-06-12 23:29:00

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