cb.print.evaluation |
Callback closure for printing the result of evaluation |
agaricus.test |
Test part from Mushroom Data Set |
cb.early.stop |
Callback closure to activate the early stopping. |
xgb.ggplot.importance |
Plot feature importance as a bar graph |
callbacks |
Callback closures for booster training. |
slice |
Get a new DMatrix containing the specified rows of
original xgb.DMatrix object |
agaricus.train |
Training part from Mushroom Data Set |
cb.cv.predict |
Callback closure for returning cross-validation based predictions. |
print.xgb.Booster |
Print xgb.Booster |
cb.evaluation.log |
Callback closure for logging the evaluation history |
xgboost-deprecated |
Deprecation notices. |
xgb.create.features |
Create new features from a previously learned model |
xgb.attr |
Accessors for serializable attributes of a model. |
xgb.train |
eXtreme Gradient Boosting Training |
cb.gblinear.history |
Callback closure for collecting the model coefficients history of a gblinear booster
during its training. |
print.xgb.cv.synchronous |
Print xgb.cv result |
xgb.gblinear.history |
Extract gblinear coefficients history. |
dim.xgb.DMatrix |
Dimensions of xgb.DMatrix |
dimnames.xgb.DMatrix |
Handling of column names of xgb.DMatrix |
print.xgb.DMatrix |
Print xgb.DMatrix |
cb.save.model |
Callback closure for saving a model file. |
xgb.parameters<- |
Accessors for model parameters. |
xgb.ggplot.deepness |
Plot model trees deepness |
xgb.model.dt.tree |
Parse a boosted tree model text dump |
xgb.load |
Load xgboost model from binary file |
xgb.plot.multi.trees |
Project all trees on one tree and plot it |
predict.xgb.Booster |
Predict method for eXtreme Gradient Boosting model |
getinfo |
Get information of an xgb.DMatrix object |
cb.reset.parameters |
Callback closure for resetting the booster's parameters at each iteration. |
xgb.Booster.complete |
Restore missing parts of an incomplete xgb.Booster object. |
xgb.plot.tree |
Plot a boosted tree model |
xgb.cv |
Cross Validation |
xgb.importance |
Importance of features in a model. |
xgb.dump |
Dump an xgboost model in text format. |
xgb.save |
Save xgboost model to binary file |
xgb.plot.shap |
SHAP contribution dependency plots |
xgb.DMatrix.save |
Save xgb.DMatrix object to binary file |
xgb.DMatrix |
Construct xgb.DMatrix object |
setinfo |
Set information of an xgb.DMatrix object |
xgb.save.raw |
Save xgboost model to R's raw vector,
user can call xgb.load to load the model back from raw vector |
No Results! |