39 lines
1.4 KiB
Plaintext
39 lines
1.4 KiB
Plaintext
Package: xgboost
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Type: Package
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Title: Extreme Gradient Boosting
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Version: 0.4-3
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Date: 2015-08-01
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Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>,
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Michael Benesty <michael@benesty.fr>, Vadim Khotilovich <khotilovich@gmail.com>
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Maintainer: Tong He <hetong007@gmail.com>
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Description: Extreme Gradient Boosting, which is an efficient implementation
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of gradient boosting framework. This package is its R interface. The package
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includes efficient linear model solver and tree learning algorithms. The package
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can automatically do parallel computation on a single machine which could be
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more than 10 times faster than existing gradient boosting packages. It supports
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various objective functions, including regression, classification and ranking.
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The package is made to be extensible, so that users are also allowed to define
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their own objectives easily.
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License: Apache License (== 2.0) | file LICENSE
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URL: https://github.com/dmlc/xgboost
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BugReports: https://github.com/dmlc/xgboost/issues
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VignetteBuilder: knitr
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Suggests:
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knitr,
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rmarkdown,
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ggplot2 (>= 1.0.1),
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DiagrammeR (>= 0.8.1),
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Ckmeans.1d.dp (>= 3.3.1),
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vcd (>= 1.3),
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testthat,
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igraph (>= 1.0.1)
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Depends:
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R (>= 2.10)
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Imports:
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Matrix (>= 1.1-0),
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methods,
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data.table (>= 1.9.6),
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magrittr (>= 1.5),
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stringr (>= 0.6.2)
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RoxygenNote: 5.0.1
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