gbts: Hyperparameter Search for Gradient Boosted Trees
Version 1.2.0

An implementation of hyperparameter optimization for Gradient Boosted Trees on binary classification and regression problems. The current version provides two optimization methods: Bayesian optimization and random search. Instead of giving the single best model, the final output is an ensemble of Gradient Boosted Trees constructed via the method of ensemble selection.

Browse man pages Browse package API and functions Browse package files

AuthorWaley W. J. Liang
Date of publication2017-02-27 08:41:32
MaintainerWaley W. J. Liang <wliang10@gmail.com>
LicenseGPL (>= 2) | file LICENSE
Version1.2.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gbts")

Man pages

boston_housing: Boston housing data
comperf: Compute model performance
gbts: Hyperparameter Search for Gradient Boosted Trees
german_credit: German credit data
predict.gbts: Predict method for ensemble of Gradient Boosted Trees

Functions

acc Source code
auc Source code
boston_housing Man page
comperf Man page Source code
dev Source code
find_best_perf Source code
gbt_fit Source code
gbt_predict Source code
gbts Man page Source code
gbts-package Man page
german_credit Man page
inv_logit Source code
isint Source code
ks Source code
lgmean Source code
logit Source code
mae Source code
mse Source code
predict.gbts Man page Source code
propose_lhs_param Source code
propose_random_param Source code
randomLHS Source code
roc Source code
rsq Source code
rtnorm Source code
trapz Source code

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test-utility-acc.R
tests/testthat/test-utility-comperf.R
tests/testthat/test-utility-auc.R
tests/testthat/test-utility-ks.R
tests/testthat/test-utility-mae.R
tests/testthat/test-utility-dev.R
tests/testthat/test-utility-roc.R
tests/testthat/test-utility-mse.R
tests/testthat/test-utility-rsq.R
NAMESPACE
NEWS.md
data
data/boston_housing.RData
data/german_credit.RData
R
R/gbts.R
R/data.R
R/utility.R
README.md
MD5
DESCRIPTION
man
man/german_credit.Rd
man/comperf.Rd
man/predict.gbts.Rd
man/gbts.Rd
man/boston_housing.Rd
LICENSE
gbts documentation built on May 19, 2017, 11:24 p.m.