agaricus.test           Test part from Mushroom Data Set
agaricus.train          Training part from Mushroom Data Set
getinfo                 Get information of an xgb.DMatrix object
nrow,xgb.DMatrix-method
                        Number of xgb.DMatrix rows
predict,xgb.Booster-method
                        Predict method for eXtreme Gradient Boosting
                        model
predict,xgb.Booster.handle-method
                        Predict method for eXtreme Gradient Boosting
                        model handle
setinfo                 Set information of an xgb.DMatrix object
slice                   Get a new DMatrix containing the specified rows
                        of orginal xgb.DMatrix object
xgb.DMatrix             Contruct xgb.DMatrix object
xgb.DMatrix.save        Save xgb.DMatrix object to binary file
xgb.cv                  Cross Validation
xgb.dump                Save xgboost model to text file
xgb.importance          Show importance of features in a model
xgb.load                Load xgboost model from binary file
xgb.model.dt.tree       Convert tree model dump to data.table
xgb.plot.importance     Plot feature importance bar graph
xgb.plot.tree           Plot a boosted tree model
xgb.save                Save xgboost model to binary file
xgb.save.raw            Save xgboost model to R's raw vector, user can
                        call xgb.load to load the model back from raw
                        vector
xgb.train               eXtreme Gradient Boosting Training
xgboost                 eXtreme Gradient Boosting (Tree) library
