Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/gbm-developers/gbm3
Gradient boosted models
https://github.com/gbm-developers/gbm3
Last synced: about 2 months ago
JSON representation
Gradient boosted models
- Host: GitHub
- URL: https://github.com/gbm-developers/gbm3
- Owner: gbm-developers
- Created: 2015-03-16T14:19:44.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-04-27T15:30:39.000Z (5 months ago)
- Last Synced: 2024-05-19T23:37:11.527Z (4 months ago)
- Language: R
- Size: 4.72 MB
- Stars: 133
- Watchers: 34
- Forks: 117
- Open Issues: 31
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES
Awesome Lists containing this project
README
gbm3: generalized boosted models
----0------------------------Originally written by Greg Ridgeway between 1999-2003, added to by various
authors, extensively updated and polished by James Hickey in 2016, survival
models greatly improved by Terry Therneau in 2016, and currently
maintained by Greg Ridgeway.
Development is discussed --- somewhat --- at
https://groups.google.com/forum/#!forum/gbm-dev .This is the shiny new gbm3 package that is not backwards compatible with R code
calling the original gbm package, but is fast and parallel and developed.Non-production releases (bug fixes, mostly) will be released via the GitHub
release workflow. To install from GitHub, first install `remotes` from CRAN:```R
install.packages("remotes")
```Then install `gbm3` from GitHub:
```R
remotes::install_github("gbm-developers/gbm3")# or to ensure your got everything
remotes::install_github("gbm-developers/gbm3", build_vignettes = TRUE, force = TRUE)
```