API for gpboost
Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

Global functions
.DATASET_PARAMETERS Source code
.EVAL_ERR_KEY Source code
.EVAL_KEY Source code
.LGB_CONVERT_DEFAULT_FOR_LOGICAL_NA Source code
.LGB_CONVERT_DEFAULT_FOR_NON_LOGICAL_NA Source code
.METRICS_HIGHER_BETTER Source code
.NO_METRIC_STRINGS Source code
.PARAMETER_ALIASES Source code
.get_column_classes Source code
.warn_for_unconverted_columns Source code
GPBoost_data Man page
GPModel Man page Source code
GPModel_shared_params Man page
X Man page
X_test Man page
`dimnames<-.gpb.Dataset` Source code
add.cb Source code
agaricus.test Man page
agaricus.train Man page
bank Man page
callback.names Source code
categorize.callbacks Source code
cb.early.stop Source code
cb.print.evaluation Source code
cb.record.evaluation Source code
cb.reset.parameters Source code
coords Man page
coords_test Man page
dim.gpb.Dataset Man page Source code
dimnames.gpb.Dataset Man page Source code
dimnames<-.gpb.Dataset Man page
fit Man page Source code
fit.GPModel Man page Source code
fitGPModel Man page Source code
format_eval_string Source code
generate.cv.folds Source code
get.grid.size Source code
get.param.combination Source code
get_nested_categories Man page Source code
getinfo Man page Source code
getinfo.gpb.Dataset Man page Source code
gpb.Dataset Man page Source code
gpb.Dataset.construct Man page Source code
gpb.Dataset.create.valid Man page Source code
gpb.Dataset.save Man page Source code
gpb.Dataset.set.categorical Man page Source code
gpb.Dataset.set.reference Man page Source code
gpb.c_str Source code
gpb.check.eval Source code
gpb.check.obj Source code
gpb.check.r6.class Source code
gpb.check.wrapper_param Source code
gpb.check_interaction_constraints Source code
gpb.convert_with_rules Man page Source code
gpb.cv Man page Source code
gpb.dump Man page Source code
gpb.get.eval.result Man page Source code
gpb.grid.search.tune.parameters Man page Source code
gpb.importance Man page Source code
gpb.interprete Man page Source code
gpb.is.Booster Source code
gpb.is.Dataset Source code
gpb.is.null.handle Source code
gpb.load Man page Source code
gpb.merge.cv.result Source code
gpb.model.dt.tree Man page Source code
gpb.params2str Source code
gpb.plot.importance Man page Source code
gpb.plot.interpretation Man page Source code
gpb.plot.part.dep.interact Man page Source code
gpb.plot.partial.dependence Man page Source code
gpb.save Man page Source code
gpb.stratified.folds Source code
gpb.train Man page Source code
gpb_shared_params Man page
gpboost Man page Source code
group_data Man page
group_data_test Man page
loadGPModel Man page Source code
merge_eval_string Source code
multiple.tree.plot.interpretation Source code
neg_log_likelihood Man page Source code
neg_log_likelihood.GPModel Man page Source code
predict.GPModel Man page Source code
predict.gpb.Booster Man page Source code
predict_training_data_random_effects Man page Source code
predict_training_data_random_effects.GPModel Man page Source code
readRDS.gpb.Booster Man page Source code
saveGPModel Man page Source code
saveRDS.gpb.Booster Man page Source code
set_optim_params Man page Source code
set_optim_params.GPModel Man page Source code
set_prediction_data Man page Source code
set_prediction_data.GPModel Man page Source code
setinfo Man page Source code
setinfo.gpb.Dataset Man page Source code
single.tree.interprete Source code
single.tree.parse Source code
slice Man page Source code
slice.gpb.Dataset Man page Source code
summary.GPModel Man page Source code
y Man page
gpboost documentation built on Oct. 24, 2023, 9:09 a.m.