# Extreme Gradient Boosting

## Documentation for package ‘xgboost’ version 3.2.0.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

a-compatibility-note-for-saveRDS-save | Model Serialization and Compatibility
agaricus.test | Test part from Mushroom Data Set
agaricus.train | Training part from Mushroom Data Set
coef.xgb.Booster | Extract coefficients from linear booster
dim.xgb.DMatrix | Dimensions of xgb.DMatrix
dimnames.xgb.DMatrix | Handling of column names of 'xgb.DMatrix'
dimnames<-.xgb.DMatrix | Handling of column names of 'xgb.DMatrix'
getinfo | Get or set information of xgb.DMatrix and xgb.Booster objects
getinfo.xgb.Booster | Get or set information of xgb.DMatrix and xgb.Booster objects
getinfo.xgb.DMatrix | Get or set information of xgb.DMatrix and xgb.Booster objects
length.xgb.Booster | Get number of boosting in a fitted booster
predict.xgb.Booster | Predict method for XGBoost model
predict.xgboost | Compute predictions from XGBoost model on new data
print.xgb.Booster | Print xgb.Booster
print.xgb.cv.synchronous | Print xgb.cv result
print.xgb.DMatrix | Print xgb.DMatrix
print.xgboost | Print info from XGBoost model
setinfo | Get or set information of xgb.DMatrix and xgb.Booster objects
setinfo.xgb.Booster | Get or set information of xgb.DMatrix and xgb.Booster objects
setinfo.xgb.DMatrix | Get or set information of xgb.DMatrix and xgb.Booster objects
variable.names.xgb.Booster | Get Features Names from Booster
xgb.attr | Accessors for serializable attributes of a model
xgb.attr<- | Accessors for serializable attributes of a model
xgb.attributes | Accessors for serializable attributes of a model
xgb.attributes<- | Accessors for serializable attributes of a model
xgb.Callback | XGBoost Callback Constructor
xgb.cb.cv.predict | Callback for returning cross-validation based predictions
xgb.cb.early.stop | Callback to activate early stopping
xgb.cb.evaluation.log | Callback for logging the evaluation history
xgb.cb.gblinear.history | Callback for collecting coefficients history of a gblinear booster
xgb.cb.print.evaluation | Callback for printing the result of evaluation
xgb.cb.reset.parameters | Callback for resetting booster parameters at each iteration
xgb.cb.save.model | Callback for saving a model file
xgb.config | Accessors for model parameters as JSON string
xgb.config<- | Accessors for model parameters as JSON string
xgb.copy.Booster | Deep-copies a Booster Object
xgb.create.features | Create new features from a previously learned model
xgb.cv | Cross Validation
xgb.DataBatch | Structure for Data Batches
xgb.DataIter | XGBoost Data Iterator
xgb.DMatrix | Construct xgb.DMatrix object
xgb.DMatrix.hasinfo | Check whether DMatrix object has a field
xgb.DMatrix.save | Save xgb.DMatrix object to binary file
xgb.dump | Dump an XGBoost model in text format.
xgb.ExtMemDMatrix | DMatrix from External Data
xgb.gblinear.history | Extract gblinear coefficients history
xgb.get.config | Set and get global configuration
xgb.get.DMatrix.data | Get DMatrix Data
xgb.get.DMatrix.num.non.missing | Get Number of Non-Missing Entries in DMatrix
xgb.get.DMatrix.qcut | Get Quantile Cuts from DMatrix
xgb.get.num.boosted.rounds | Get number of boosting in a fitted booster
xgb.ggplot.deepness | Plot model tree depth
xgb.ggplot.importance | Plot feature importance
xgb.ggplot.shap.summary | SHAP summary plot
xgb.importance | Feature importance
xgb.is.same.Booster | Check if two boosters share the same C object
xgb.load | Load XGBoost model from binary file
xgb.load.raw | Load serialised XGBoost model from R's raw vector
xgb.model.dt.tree | Parse model text dump
xgb.model.parameters<- | Accessors for model parameters
xgb.params | XGBoost Parameters
xgb.plot.deepness | Plot model tree depth
xgb.plot.importance | Plot feature importance
xgb.plot.multi.trees | Project all trees on one tree
xgb.plot.shap | SHAP dependence plots
xgb.plot.shap.summary | SHAP summary plot
xgb.plot.tree | Plot boosted trees
xgb.QuantileDMatrix | Construct xgb.DMatrix object
xgb.QuantileDMatrix.from_iterator | QuantileDMatrix from External Data
xgb.save | Save XGBoost model to binary file
xgb.save.raw | Save XGBoost model to R's raw vector
xgb.set.config | Set and get global configuration
xgb.set.config, xgb.get.config | Set and get global configuration
xgb.slice.Booster | Slice Booster by Rounds
xgb.slice.DMatrix | Slice DMatrix
xgb.train | Fit XGBoost Model
xgboost | Fit XGBoost Model
xgboost-options | XGBoost Options
[.xgb.Booster | Slice Booster by Rounds
[.xgb.DMatrix | Slice DMatrix