Hyperparameter Search for Gradient Boosted Trees
Overview
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.
- 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
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.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- 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
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.2.0Latest
- 1.0.12016-10-17 · diff ↗
- 1.0.02016-10-08
- RR 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
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