Extreme Gradient Boosting

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Documentation for package ‘xgboost’ version 1.7.11.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.

Help Pages

a-compatibility-note-for-saveRDS-save	Do not use 'saveRDS' or 'save' for long-term archival of models. Instead, use 'xgb.save' or 'xgb.save.raw'.
agaricus.test	Test part from Mushroom Data Set
agaricus.train	Training part from Mushroom Data Set
callbacks	Callback closures for booster training.
cb.cv.predict	Callback closure for returning cross-validation based predictions.
cb.early.stop	Callback closure to activate the early stopping.
cb.evaluation.log	Callback closure for logging the evaluation history
cb.gblinear.history	Callback closure for collecting the model coefficients history of a gblinear booster during its training.
cb.print.evaluation	Callback closure for printing the result of evaluation
cb.reset.parameters	Callback closure for resetting the booster's parameters at each iteration.
cb.save.model	Callback closure for saving a model file.
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 information of an xgb.DMatrix object
getinfo.xgb.DMatrix	Get information of an xgb.DMatrix object
normalize	Scale feature value to have mean 0, standard deviation 1
predict.xgb.Booster	Predict method for eXtreme Gradient Boosting model
predict.xgb.Booster.handle	Predict method for eXtreme Gradient Boosting model
prepare.ggplot.shap.data	Combine and melt feature values and SHAP contributions for sample observations.
print.xgb.Booster	Print xgb.Booster
print.xgb.cv.synchronous	Print xgb.cv result
print.xgb.DMatrix	Print xgb.DMatrix
setinfo	Set information of an xgb.DMatrix object
setinfo.xgb.DMatrix	Set information of an xgb.DMatrix object
slice	Get a new DMatrix containing the specified rows of original xgb.DMatrix object
slice.xgb.DMatrix	Get a new DMatrix containing the specified rows of original xgb.DMatrix object
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.Booster.complete	Restore missing parts of an incomplete xgb.Booster object.
xgb.config	Accessors for model parameters as JSON string.
xgb.config<-	Accessors for model parameters as JSON string.
xgb.create.features	Create new features from a previously learned model
xgb.cv	Cross Validation
xgb.DMatrix	Construct xgb.DMatrix object
xgb.DMatrix.save	Save xgb.DMatrix object to binary file
xgb.dump	Dump an xgboost model in text format.
xgb.gblinear.history	Extract gblinear coefficients history.
xgb.get.config	Set and get global configuration
xgb.ggplot.deepness	Plot model trees deepness
xgb.ggplot.importance	Plot feature importance as a bar graph
xgb.ggplot.shap.summary	SHAP contribution dependency summary plot
xgb.importance	Importance of features in a model.
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 a boosted tree model text dump
xgb.parameters<-	Accessors for model parameters.
xgb.plot.deepness	Plot model trees deepness
xgb.plot.importance	Plot feature importance as a bar graph
xgb.plot.multi.trees	Project all trees on one tree and plot it
xgb.plot.shap	SHAP contribution dependency plots
xgb.plot.shap.summary	SHAP contribution dependency summary plot
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.raw to load the model back from raw vector
xgb.serialize	Serialize the booster instance into R's raw vector. The serialization method differs from 'xgb.save.raw' as the latter one saves only the model but not parameters. This serialization format is not stable across different xgboost versions.
xgb.set.config	Set and get global configuration
xgb.set.config, xgb.get.config	Set and get global configuration
xgb.train	eXtreme Gradient Boosting Training
xgb.unserialize	Load the instance back from 'xgb.serialize'
xgboost	eXtreme Gradient Boosting Training
xgboost-deprecated	Deprecation notices.
[.xgb.DMatrix	Get a new DMatrix containing the specified rows of original xgb.DMatrix object