Man pages for xgboost
Extreme Gradient Boosting
| 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 |
| dimnames.xgb.DMatrix | Handling of column names of 'xgb.DMatrix' |
| dim.xgb.DMatrix | Dimensions of xgb.DMatrix |
| getinfo | Get or set information of xgb.DMatrix and xgb.Booster objects |
| 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 | Print xgb.cv result |
| print.xgb.DMatrix | Print xgb.DMatrix |
| print.xgboost | Print info from XGBoost model |
| variable.names.xgb.Booster | Get Features Names from Booster |
| xgb.attr | 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... |
| 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 |
| xgbConfig | Set and get global configuration |
| 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.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.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 |
| xgboost | Fit XGBoost Model |
| xgboost-options | XGBoost Options |
| 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.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.slice.Booster | Slice Booster by Rounds |
| xgb.slice.DMatrix | Slice DMatrix |
| xgb.train | Fit XGBoost Model |
