GPBoost_data            Example data for the GPBoost package
GPModel                 Create a 'GPModel' object
GPModel_shared_params   Shared parameter docs
X                       Example data for the GPBoost package
X_test                  Example data for the GPBoost package
agaricus.test           Test part from Mushroom Data Set
agaricus.train          Training part from Mushroom Data Set
bank                    Bank Marketing Data Set
coords                  Example data for the GPBoost package
coords_test             Example data for the GPBoost package
dim.gpb.Dataset         Dimensions of an 'gpb.Dataset'
dimnames.gpb.Dataset    Handling of column names of 'gpb.Dataset'
fit                     Generic 'fit' method for a 'GPModel'
fit.GPModel             Fits a 'GPModel'
fitGPModel              Fits a 'GPModel'
getinfo                 Get information of an 'gpb.Dataset' object
gpb.Dataset             Construct 'gpb.Dataset' object
gpb.Dataset.construct   Construct Dataset explicitly
gpb.Dataset.create.valid
                        Construct validation data
gpb.Dataset.save        Save 'gpb.Dataset' to a binary file
gpb.Dataset.set.categorical
                        Set categorical feature of 'gpb.Dataset'
gpb.Dataset.set.reference
                        Set reference of 'gpb.Dataset'
gpb.convert_with_rules
                        Data preparator for GPBoost datasets with rules
                        (integer)
gpb.cv                  CV function for number of boosting iterations
gpb.dump                Dump GPBoost model to json
gpb.get.eval.result     Get record evaluation result from booster
gpb.grid.search.tune.parameters
                        Function for choosing tuning parameters
gpb.importance          Compute feature importance in a model
gpb.interprete          Compute feature contribution of prediction
gpb.load                Load GPBoost model
gpb.model.dt.tree       Parse a GPBoost model json dump
gpb.plot.importance     Plot feature importance as a bar graph
gpb.plot.interpretation
                        Plot feature contribution as a bar graph
gpb.plot.partial.dependence
                        Plot partial dependence plots
gpb.save                Save GPBoost model
gpb.train               Main training logic for GBPoost
gpboost                 Train a GPBoost model
group_data              Example data for the GPBoost package
group_data_test         Example data for the GPBoost package
loadGPModel             Load a 'GPModel' from a file
predict.GPModel         Make predictions for a 'GPModel'
predict.gpb.Booster     Predict method for GPBoost model
readRDS.gpb.Booster     readRDS for 'gpb.Booster' models
saveGPModel             Save a 'GPModel'
saveRDS.gpb.Booster     saveRDS for 'gpb.Booster' models
set_prediction_data     Generic 'set_prediction_data' method for a
                        'GPModel'
set_prediction_data.GPModel
                        Set prediction data for a 'GPModel'
setinfo                 Set information of an 'gpb.Dataset' object
slice                   Slice a dataset
summary.GPModel         Summary for a 'GPModel'
y                       Example data for the GPBoost package
