Light Gradient Boosting Machine

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Documentation for package ‘lightgbm’ version 3.3.5

• DESCRIPTION file.
• Code demos. Use demo() to run them.

Help Pages

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'
getinfo	Get information of an 'lgb.Dataset' object
getinfo.lgb.Dataset	Get information of an 'lgb.Dataset' object
get_field	Get one attribute of a 'lgb.Dataset'
get_field.lgb.Dataset	Get one attribute of a 'lgb.Dataset'
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.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.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.save	Save LightGBM model
lgb.train	Main training logic for LightGBM
lgb.unloader	Remove lightgbm and its objects from an environment
lightgbm	Train a LightGBM model
predict.lgb.Booster	Predict method for LightGBM model
readRDS.lgb.Booster	readRDS for 'lgb.Booster' models
saveRDS.lgb.Booster	saveRDS for 'lgb.Booster' models
setinfo	Set information of an 'lgb.Dataset' object
setinfo.lgb.Dataset	Set information of an 'lgb.Dataset' object
set_field	Set one attribute of a 'lgb.Dataset' object
set_field.lgb.Dataset	Set one attribute of a 'lgb.Dataset' object
slice	Slice a dataset
slice.lgb.Dataset	Slice a dataset