R Packages that start with:
A . B . C . D . E . F . G . H . I . J . K . L . M . N . O . P . Q . R . S . T . U . V . W . X . Y . Z .
Functions
- agaricus.test()
- agaricus.train()
- bank()
- coords()
- coords_test()
- dim()
- dimnames.gpb.Dataset()
- fit.GPModel()
- fit()
- fitGPModel()
- getinfo()
- get_nested_categories()
- gpb.convert_with_rules()
- gpb.cv()
- gpb.Dataset.construct()
- gpb.Dataset.create.valid()
- gpb.Dataset()
- gpb.Dataset.save()
- gpb.Dataset.set.categorical()
- gpb.Dataset.set.reference()
- gpb.dump()
- gpb.get.eval.result()
- gpb.grid.search.tune.parameters()
- gpb.importance()
- gpb.interprete()
- gpb.load()
- gpb.model.dt.tree()
- gpb.plot.importance()
- gpb.plot.interpretation()
- gpb.plot.part.dep.interact()
- gpb.plot.partial.dependence()
- gpb.save()
- gpb.train()
- gpboost()
- GPBoost_data()
- gpb_shared_params()
- GPModel()
- GPModel_shared_params()
- group_data()
- group_data_test()
- loadGPModel()
- neg_log_likelihood.GPModel()
- neg_log_likelihood()
- predict.gpb.Booster()
- predict.GPModel()
- predict_training_data_random_effects.GPModel()
- predict_training_data_random_effects()
- readRDS.gpb.Booster()
- saveGPModel()
- saveRDS.gpb.Booster()
- setinfo()
- set_optim_params.GPModel()
- set_optim_params()
- set_prediction_data.GPModel()
- set_prediction_data()
- slice()
- summary.GPModel()
- X()
- X_test()
- y()
R Codes
- aliases.R
- callback.R
- gpb.Booster.R
- gpb.convert_with_rules.R
- gpb.cv.R
- gpb.Dataset.R
- gpb.importance.R
- gpb.interprete.R
- gpb.model.dt.tree.R
- gpb.plot.importance.R
- gpb.plot.interpretation.R
- gpb.plot.partial.dependence.R
- gpb.Predictor.R
- gpb.train.R
- gpboost.R
- GPModel.R
- metrics.R
- readRDS.gpb.Booster.R
- saveRDS.gpb.Booster.R
- utils.R
Selected R package: gpboost
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