parboost: Distributed Model-Based Boosting

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.

Author
Ronert Obst <ronert.obst@gmail.com>
Date of publication
2015-05-04 01:24:31
Maintainer
Ronert Obst <ronert.obst@gmail.com>
License
GPL-2
Version
0.1.4

View on CRAN

Man pages

coef.parboost
Print coefficients for base learners with a notion of...
cv_subsample
Cross-validation for mboost models
friedman2
Benchmark Problem Friedman 2
parboost
Distributed gradient boosting based on the 'mboost' package.
parboost_fit
Fit individual parboost component using mboost
postprocess
Postprocess parboost ensemble components
predict.parboost
Generate predictions from parboost object
print.parboost
Prints a short description of a parboost object.
print.summary.parboost
Prints a summary of a parboost object.
selected.parboost
Selected base learners
summary.parboost
Prints a summary of a parboost object.

Files in this package

parboost
parboost/inst
parboost/inst/CITATION
parboost/NAMESPACE
parboost/demo
parboost/demo/00Index
parboost/demo/friedman2.R
parboost/NEWS
parboost/data
parboost/data/friedman2.RData
parboost/R
parboost/R/parboost-package.R
parboost/R/crossvalidation.R
parboost/R/methods.R
parboost/R/parboost.R
parboost/R/postprocess.R
parboost/MD5
parboost/README
parboost/DESCRIPTION
parboost/man
parboost/man/summary.parboost.Rd
parboost/man/selected.parboost.Rd
parboost/man/coef.parboost.Rd
parboost/man/parboost_fit.Rd
parboost/man/parboost.Rd
parboost/man/predict.parboost.Rd
parboost/man/postprocess.Rd
parboost/man/print.summary.parboost.Rd
parboost/man/friedman2.Rd
parboost/man/print.parboost.Rd
parboost/man/cv_subsample.Rd