Project details for r-cran-evtree

Logo r-cran-evtree 0.1-4

by r-cran-robot - November 25, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ]

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Evolutionary Learning of Globally Optimal Trees: Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over the parameter space of trees is to use global optimization methods like evolutionary algorithms. The evtree package implements an evolutionary algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while the partykit package is leveraged to represent the resulting trees in R, providing unified infrastructure for summaries, visualizations, and predictions.

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Fetched by r-cran-robot on 2014-05-01 00:00:05.459097

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Tags: R-Cran
Archive: download here

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Fetched by r-cran-robot on 2014-05-01 00:00:05.459097

December 1, 2013, 00:00:04

Fetched by r-cran-robot on 2013-11-01 00:00:04.651985

July 1, 2013, 00:00:05

Fetched by r-cran-robot on 2013-06-01 00:00:06.431029

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Fetched by r-cran-robot on 2012-04-01 00:00:05.044729

February 1, 2012, 00:00:05


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