Skip to content

Hyperparameter Search for Gradient Boosted Trees

0packages depend
6.1Kdownloads / year
11.0%test coverage
11/13flavors OK

Overview

About

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.

Changes in 1.2.0
  • Implemented ensemble selection to construct an ensemble of models in the

output of gbts().

  • Revised the API of gbts() to simplify the specification of minimum and maximum

values of hyperparameters.

  • Improved the display of optimization progress.
  • Terminated support for the R package "xgboost".

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Waley W. J. Liang <wliang10@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Waley", "W.", "J."),
                    family = "Liang",
                    role = c("aut", "cre"),
                    email = "wliang10@gmail.com")
as necessary.

CRAN check page ↗

Slowest check: 1.0 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2.0
READMEYes · 96 wordsVignettesNoNEWSYes · 100% structured · mentions 1.2.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
5includes a package overview page
Examples that run
50%1 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
84%
Return-value docs
100%
Help pages citing references
20%

Downloads

6.1K
CRAN downloads in the past year
Rank #7,535 · ~17/day · ~512/mo
Daily download trend is not available in this view yet.
41230 days
1.2K90 days
6.1K1 year
Compare downloads with other packages →
Also on66 r2u4 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing gbts adds 11 packages (3 with compiled code, 4.4 MB of source tarballs). Heaviest: earth 1.5 MB, plotmo 1.2 MB, gbm 577 KB.

Depends (1)
R >= 3.3.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0.0 (2016)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.2.0Latest
    record
    2017-02-27 · current release · diff ↗
  • 1.0.1
    record
    2016-10-17 · diff ↗
  • 1.0.0
    record
    2016-10-08
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-10-08
Total releases
3 / 10 yrs
License
GPL (>= 2) | file LICENSE OSI
Minimum R
≥ 3.3.0
Bundled data
32 KB / 2 files
Download size
53 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gbts")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gbts version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy