Light Gradient Boosting Machine


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Documentation for package ‘lightgbm’ version 0.1

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agaricus.test Test part from Mushroom Data Set
agaricus.train Training part from Mushroom 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
lgb.cv Main CV logic for LightGBM
lgb.Dataset Contruct lgb.Dataset object
lgb.Dataset.construct Construct Dataset explicitly
lgb.Dataset.create.valid Contruct 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.load Load LightGBM model
lgb.save Save LightGBM model
lgb.train Main CV logic for LightGBM
lightgbm Main CV logic for LightGBM
predict.lgb.Booster Predict method for LightGBM model
setinfo Set information of an lgb.Dataset object
setinfo.lgb.Dataset Set information of an lgb.Dataset object
slice Slice a dataset
slice.lgb.Dataset Slice a dataset