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' |
dimnames<-.lgb.Dataset |
Handling of column names of 'lgb.Dataset' |
getLGBMThreads |
Get default number of threads used by LightGBM |
getLGBMthreads |
Get default number of threads used by LightGBM |
get_field |
Get one attribute of a 'lgb.Dataset' |
get_field.lgb.Dataset |
Get one attribute of a '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.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.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 |
setLGBMthreads |
Set maximum number of threads used by LightGBM |
set_field |
Set one attribute of a 'lgb.Dataset' object |
set_field.lgb.Dataset |
Set one attribute of a 'lgb.Dataset' object |
summary.lgb.Booster |
Summary method for LightGBM model |