23 lines
1.0 KiB
Plaintext
23 lines
1.0 KiB
Plaintext
Package: xgboost
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Type: Package
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Title: eXtreme Gradient Boosting
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Version: 0.3-0
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Date: 2014-08-23
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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 Gradient Boosting.
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It is an efficient and scalable implementation of gradient boosting framework.
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The package includes efficient linear model solver and tree learning algorithm.
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The package can automatically do parallel computation with OpenMP, and it can be
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more than 10 times faster than existing gradient boosting packages such as gbm.
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It supports various objective functions, including regression, classification and ranking.
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The package is made to be extensible, so that user are also allowed to define there 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 (>= 2.0.2)
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Imports:
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Matrix (>= 1.1-0),
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methods
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