agaricus.test           Test part from Mushroom Data Set
agaricus.train          Training part from Mushroom Data Set
bank                    Bank Marketing Data Set
dim.lgb.Dataset         Dimensions of an 'lgb.Dataset'
dimnames.lgb.Dataset    Handling of column names of 'lgb.Dataset'
getLGBMThreads          Get default number of threads used by LightGBM
get_field               Get one attribute of a 'lgb.Dataset'
lgb.Dataset             Construct 'lgb.Dataset' object
lgb.Dataset.construct   Construct Dataset explicitly
lgb.Dataset.create.valid
                        Construct validation data
lgb.Dataset.save        Save 'lgb.Dataset' to a binary file
lgb.Dataset.set.categorical
                        Set categorical feature of 'lgb.Dataset'
lgb.Dataset.set.reference
                        Set reference of 'lgb.Dataset'
lgb.configure_fast_predict
                        Configure Fast Single-Row Predictions
lgb.convert_with_rules
                        Data preparator for LightGBM datasets with
                        rules (integer)
lgb.cv                  Main CV logic for LightGBM
lgb.drop_serialized     Drop serialized raw bytes in a LightGBM model
                        object
lgb.dump                Dump LightGBM model to json
lgb.get.eval.result     Get record evaluation result from booster
lgb.importance          Compute feature importance in a model
lgb.interprete          Compute feature contribution of prediction
lgb.load                Load LightGBM model
lgb.make_serializable   Make a LightGBM object serializable by keeping
                        raw bytes
lgb.model.dt.tree       Parse a LightGBM model json dump
lgb.plot.importance     Plot feature importance as a bar graph
lgb.plot.interpretation
                        Plot feature contribution as a bar graph
lgb.restore_handle      Restore the C++ component of a de-serialized
                        LightGBM model
lgb.save                Save LightGBM model
lgb.slice.Dataset       Slice a dataset
lgb.train               Main training logic for LightGBM
lightgbm                Train a LightGBM model
predict.lgb.Booster     Predict method for LightGBM model
print.lgb.Booster       Print method for LightGBM model
setLGBMThreads          Set maximum number of threads used by LightGBM
set_field               Set one attribute of a 'lgb.Dataset' object
summary.lgb.Booster     Summary method for LightGBM model
