[ 原始碼： r-cran-gbm ]
套件：r-cran-gbm（2.2.2-1）
GNU R package providing Generalized Boosted Regression Models
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).
其他與 r-cran-gbm 有關的套件
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- dep: libc6 (>= 2.29)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgcc-s1 (>= 3.5)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 13.1)
- GNU Standard C++ Library v3
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-cran-lattice
- GNU R package for 'Trellis' graphics
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- dep: r-cran-survival
- GNU R package for survival analysis
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- rec: r-cran-covr
- test coverage for GNU R packages
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- rec: r-cran-gridextra
- GNU R package with extensions for the grid package
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- rec: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- rec: r-cran-runit
- GNU R package providing unit testing framework
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- rec: r-cran-tinytest
- Lightweight and Feature Complete Unit Testing Framework
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- rec: r-cran-viridis
- GNU R package for color maps from matplotlib