Distributed gradient boosting based on the mboost package. The parboost package is designed to scale up component-wise functional gradient boosting in a distributed memory environment by splitting the observations into disjoint subsets, or alternatively using bootstrap samples (bagging). Each cluster node then fits a boosting model to its subset of the data. These boosting models are combined in an ensemble, either with equal weights, or by fitting a (penalized) regression model on the predictions of the individual models on the complete data.
Package details |
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Author | Ronert Obst <ronert.obst@gmail.com> |
Maintainer | Ronert Obst <ronert.obst@gmail.com> |
License | GPL-2 |
Version | 0.1.4 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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