gbm: Generalized Boosted Regression Models

An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart).

AuthorGreg Ridgeway <gregridgeway@gmail.com> with contributions from others
Date of publication2015-03-11 09:02:32
MaintainerHarry Southworth <harry.southworth@gmail.com>
LicenseGPL (>= 2) | file LICENSE
Version2.1.1
http://code.google.com/p/gradientboostedmodels/

View on CRAN

Files in this package

gbm
gbm/inst
gbm/inst/doc
gbm/inst/doc/oobperf2.eps
gbm/inst/doc/index.html
gbm/inst/doc/oobperf2.pdf
gbm/inst/doc/srcltx.sty
gbm/inst/doc/shrinkageplot.R
gbm/inst/doc/gbm.tex
gbm/inst/doc/gbm.Sweave
gbm/inst/doc/shrinkage-v-iterations.eps
gbm/inst/doc/gbm.pdf
gbm/inst/doc/shrinkage-v-iterations.pdf
gbm/src
gbm/src/locationm.h
gbm/src/locationm.cpp
gbm/src/gbm_engine.h
gbm/src/laplace.h
gbm/src/tree.cpp
gbm/src/gbm_engine.cpp
gbm/src/gaussian.h
gbm/src/pairwise.h
gbm/src/adaboost.h
gbm/src/pairwise.cpp
gbm/src/distribution.cpp
gbm/src/node_continuous.cpp
gbm/src/node.h
gbm/src/node_nonterminal.h
gbm/src/node_factory.cpp
gbm/src/node_search.cpp
gbm/src/node.cpp
gbm/src/bernoulli.cpp
gbm/src/quantile.cpp
gbm/src/huberized.h
gbm/src/node_search.h
gbm/src/bac
gbm/src/bac/gaussian.cpp
gbm/src/tree.h
gbm/src/poisson.cpp
gbm/src/multinomial.h
gbm/src/adaboost.cpp
gbm/src/node_categorical.h
gbm/src/node_factory.h
gbm/src/gbm.cpp
gbm/src/node_continuous.h
gbm/src/coxph.cpp
gbm/src/dataset.h
gbm/src/dataset.cpp
gbm/src/node_categorical.cpp
gbm/src/coxph.h
gbm/src/laplace.cpp
gbm/src/node_terminal.h
gbm/src/node_nonterminal.cpp
gbm/src/node_terminal.cpp
gbm/src/gbmentry.cpp
gbm/src/tdist.h
gbm/src/poisson.h
gbm/src/gbm.h
gbm/src/bernoulli.h
gbm/src/gaussian.cpp
gbm/src/huberized.cpp
gbm/src/multinomial.cpp
gbm/src/quantile.h
gbm/src/distribution.h
gbm/src/tdist.cpp
gbm/src/matrix.h
gbm/src/buildinfo.h
gbm/NAMESPACE
gbm/demo
gbm/demo/bernoulli.R
gbm/demo/gaussian.R
gbm/demo/pairwise.R
gbm/demo/robustReg.R
gbm/demo/multinomial.R
gbm/demo/printExamples.R
gbm/demo/OOB-reps.R
gbm/demo/00Index
gbm/demo/coxph.R
gbm/R
gbm/R/gbmDoFold.R gbm/R/gbmCluster.R gbm/R/gbm.perf.R gbm/R/interact.gbm.R gbm/R/getStratify.R gbm/R/shrink.gbm.R gbm/R/calibrate.plot.R gbm/R/getCVgroup.R gbm/R/gbm.loss.R gbm/R/pretty.gbm.tree.R gbm/R/test.gbm.R gbm/R/print.gbm.R gbm/R/plot.gbm.R gbm/R/predict.gbm.R gbm/R/gbm.R gbm/R/permutation.test.gbm.R gbm/R/gbm.fit.R gbm/R/checks.R gbm/R/basehaz.gbm.R gbm/R/reconstructGBMdata.R gbm/R/relative.influence.R gbm/R/gbm.more.R gbm/R/shrink.gbm.pred.R gbm/R/ir.measures.R gbm/R/gbmCrossVal.R gbm/R/guessDist.R
gbm/MD5
gbm/DESCRIPTION
gbm/man
gbm/man/summary.gbm.Rd gbm/man/predict.gbm.Rd gbm/man/shrink.gbm.pred.Rd gbm/man/shrink.gbm.Rd gbm/man/plot.gbm.Rd gbm/man/print.gbm.Rd gbm/man/gbm.object.Rd gbm/man/validate.Rd gbm/man/gbmCrossVal.Rd gbm/man/pretty.gbm.tree.Rd gbm/man/relative.influence.Rd gbm/man/gbm.perf.Rd gbm/man/calibrate.plot.Rd gbm/man/quantile.rug.Rd gbm/man/reconstructGBMdata.Rd gbm/man/gbm.roc.area.Rd gbm/man/interact.gbm.Rd gbm/man/gbm.Rd gbm/man/gbm-internal.Rd gbm/man/basehaz.gbm.Rd gbm/man/gbm-package.Rd
gbm/.Rinstignore
gbm/LICENSE
gbm/CHANGES

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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