r-cran-gbm binary package in Ubuntu Kinetic amd64
This package implements 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).
Publishing history
| Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
|---|---|---|---|---|---|---|---|---|---|
| 2022-08-22 21:38:43 UTC | Published | Ubuntu Kinetic amd64 | release | universe | gnu-r | Optional | 2.1.8.1-1 | ||
|
|||||||||
| Deleted | Ubuntu Kinetic amd64 | proposed | universe | gnu-r | Optional | 2.1.8.1-1 | |||
|
|||||||||
| 2022-08-22 21:39:10 UTC | Superseded | Ubuntu Kinetic amd64 | release | universe | gnu-r | Optional | 2.1.8-1 | ||
|
|||||||||
