xgboost v0.3-3
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eXtreme Gradient Boosting
Xgboost is short for eXtreme Gradient Boosting, which is an
efficient and scalable implementation of gradient boosting framework.
This package is an R wrapper of xgboost. The package includes efficient
linear model solver and tree learning algorithms. The package can automatically
do parallel computation with OpenMP, and it can be more than 10 times faster
than existing gradient boosting packages such as gbm. It supports various
objective functions, including regression, classification and ranking. The
package is made to be extensible, so that users are also allowed to define
their own objectives easily.
Functions in xgboost
| Name | Description | |
| getinfo | Get information of an xgb.DMatrix object | |
| xgb.save.raw | Save xgboost model to R's raw vector, user can call xgb.load to load the model back from raw vector | |
| agaricus.train | Training part from Mushroom Data Set | |
| xgb.dump | Save xgboost model to text file | |
| slice | Get a new DMatrix containing the specified rows of orginal xgb.DMatrix object | |
| xgb.plot.importance | Plot feature importance bar graph | |
| xgb.cv | Cross Validation | |
| predict,xgb.Booster.handle-method | Predict method for eXtreme Gradient Boosting model handle | |
| xgb.train | eXtreme Gradient Boosting Training | |
| xgb.plot.tree | Plot a boosted tree model | |
| xgb.load | Load xgboost model from binary file | |
| xgb.model.dt.tree | Convert tree model dump to data.table | |
| predict,xgb.Booster-method | Predict method for eXtreme Gradient Boosting model | |
| setinfo | Set information of an xgb.DMatrix object | |
| agaricus.test | Test part from Mushroom Data Set | |
| xgb.DMatrix | Contruct xgb.DMatrix object | |
| xgboost | eXtreme Gradient Boosting (Tree) library | |
| xgb.save | Save xgboost model to binary file | |
| xgb.DMatrix.save | Save xgb.DMatrix object to binary file | |
| xgb.importance | Show importance of features in a model | |
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Details
| Type | Package |
| Date | 2014-12-28 |
| License | Apache License (== 2.0) | file LICENSE |
| URL | https://github.com/tqchen/xgboost |
| BugReports | https://github.com/tqchen/xgboost/issues |
| VignetteBuilder | knitr |
| Packaged | 2015-03-03 08:26:35 UTC; hetong |
| NeedsCompilation | yes |
| Repository | CRAN |
| Date/Publication | 2015-03-03 11:05:46 |
| depends | base (>= 2.10) , R (>= 2.10) |
| imports | Ckmeans , Ckmeans.1d.dp (>= 3.3.1) , data , data.table (>= 1.9.4) , DiagrammeR (>= 0.4) , ggplot2 (>= 1.0.0) , magrittr (>= 1.5) , Matrix (>= 1.1-0) , methods , stringr (>= 0.6.2) , vcd (>= 1.3) |
| suggests | knitr |
| Contributors | Tianqi Chen, Tong He, Michael Benesty |
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