29 lines
1.1 KiB
Plaintext
29 lines
1.1 KiB
Plaintext
Package: xgboost
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Type: Package
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Title: eXtreme Gradient Boosting
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Version: 0.3-3
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Date: 2014-12-28
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Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>
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Maintainer: Tong He <hetong007@gmail.com>
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Description: This package is a R wrapper of xgboost, which is short for eXtreme
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Gradient Boosting. It is an efficient and scalable implementation of
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gradient boosting framework. The package includes efficient linear model
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solver and tree learning algorithms. The package can automatically do
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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/tqchen/xgboost
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BugReports: https://github.com/tqchen/xgboost/issues
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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),
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magrittr (>= 1.5),
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stringr,
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DiagrammeR
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