35 lines
1.3 KiB
Plaintext
35 lines
1.3 KiB
Plaintext
Package: xgboost
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Type: Package
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Title: eXtreme Gradient Boosting
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Version: 0.4-0
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Date: 2015-05-11
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Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>, Michael Benesty <michael@benesty.fr>
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Maintainer: Tong He <hetong007@gmail.com>
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Description: eXtreme Gradient Boosting, which is an
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efficient and scalable implementation of gradient boosting framework.
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This package is an R wrapper of xgboost. The package includes efficient
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linear model solver and tree learning algorithms. The package can automatically
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do parallel computation with OpenMP, and it can be more than 10 times faster
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than existing gradient boosting packages such as gbm. It supports various
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objective functions, including regression, classification and ranking. The
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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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ggplot2 (>= 1.0.0),
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DiagrammeR (>= 0.6),
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Ckmeans.1d.dp (>= 3.3.1),
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vcd (>= 1.3)
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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 (>= 1.9.4),
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magrittr (>= 1.5),
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stringr (>= 0.6.2)
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