xgb.DMatrix: Construct xgb.DMatrix object.: Create new features from a previously learned model.xgbConfig: Set and get global configuration.xgb.config: Accessors for model parameters as JSON string.: Restore missing parts of an incomplete xgb.Booster object.xgb.attr: Accessors for serializable attributes of a model.: Get a new DMatrix containing the specified rows of original.setinfo: Set information of an xgb.DMatrix object.: Combine and melt feature values and SHAP contributions for.: Predict method for eXtreme Gradient Boosting model.normalize: Scale feature value to have mean 0, standard deviation 1.getinfo: Get information of an xgb.DMatrix object.: Handling of column names of 'xgb.DMatrix'.cb.save.model: Callback closure for saving a model file.cb.reset.parameters: Callback closure for resetting the booster's parameters at.cb.print.evaluation: Callback closure for printing the result of evaluation.cb.gblinear.history: Callback closure for collecting the model coefficients.cb.evaluation.log: Callback closure for logging the evaluation history.cb.early.stop: Callback closure to activate the early stopping.cb.cv.predict: Callback closure for returning cross-validation based.callbacks: Callback closures for booster training.ain: Training part from Mushroom Data Set.agaricus.test: Test part from Mushroom Data Set.a-compatibility-note-for-saveRDS-save: Do not use 'saveRDS' or 'save' for long-term archival of.

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