Extreme Gradient Boosting


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Documentation for package ‘xgboost’ version 3.1.3.1

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