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gbm - MaRDI portal

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gbm (Q20009)

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Generalized Boosted Regression Models
Language Label Description Also known as
English
gbm
Generalized Boosted Regression Models

    Statements

    instance of
    R package
    0 references
    software version identifier
    2.1.8.1
    publication date
    11 August 2022
    0 references
    0.6
    publication date
    21 February 2003
    0 references
    0.7-1
    publication date
    11 March 2003
    0 references
    0.7-2
    publication date
    14 March 2003
    0 references
    0.7
    publication date
    10 March 2003
    0 references
    1.0
    publication date
    15 July 2003
    0 references
    1.1-1
    publication date
    7 December 2003
    0 references
    1.1-2
    publication date
    10 April 2004
    0 references
    1.2
    publication date
    25 June 2004
    0 references
    1.3-3
    publication date
    4 November 2004
    0 references
    1.3-5
    publication date
    9 November 2004
    0 references
    1.4-2
    publication date
    31 March 2005
    0 references
    1.5-1
    publication date
    2 June 2005
    0 references
    1.5-3
    publication date
    7 October 2005
    0 references
    1.5-5
    publication date
    21 January 2006
    0 references
    1.5-7
    publication date
    18 April 2006
    0 references
    1.5
    publication date
    9 May 2005
    0 references
    1.6-1
    publication date
    14 June 2007
    0 references
    1.6-2
    publication date
    23 June 2007
    0 references
    1.6-3.1
    publication date
    7 May 2010
    0 references
    1.6-3.2
    publication date
    9 December 2012
    0 references
    1.6-3
    publication date
    4 August 2007
    0 references
    2.0-5
    publication date
    8 December 2012
    0 references
    2.0-8
    publication date
    18 January 2013
    0 references
    2.1.1
    publication date
    11 March 2015
    0 references
    2.1.2
    publication date
    21 March 2017
    0 references
    2.1.3
    publication date
    21 March 2017
    0 references
    2.1.4
    publication date
    16 September 2018
    0 references
    2.1.5
    publication date
    14 January 2019
    0 references
    2.1.8
    publication date
    15 July 2020
    0 references
    2.1
    publication date
    10 May 2013
    0 references
    2.1.9
    publication date
    10 January 2024
    0 references
    programmed in
    R
    0 references
    last update
    10 January 2024
    0 references
    description
    An implementation of 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). Originally developed by Greg Ridgeway. Newer version available at github.com/gbm-developers/gbm3.
    0 references
    author
    Greg Ridgeway
    0 references
    Gbm Developers
    0 references
    imports
    lattice
    0 references
    parallel
    0 references
    survival
    0 references

    Identifiers

    swMATH work ID
    7994
    0 references
    CRAN project
    gbm
    0 references
     
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