lgb.load | R Documentation |
Load LightGBM takes in either a file path or model string. If both are provided, Load will default to loading from file
lgb.load(filename = NULL, model_str = NULL)
filename |
path of model file |
model_str |
a str containing the model |
lgb.Booster
data(agaricus.train, package = "lightgbm") train <- agaricus.train dtrain <- lgb.Dataset(train$data, label = train$label) data(agaricus.test, package = "lightgbm") test <- agaricus.test dtest <- lgb.Dataset.create.valid(dtrain, test$data, label = test$label) params <- list( objective = "regression" , metric = "l2" , min_data = 1L , learning_rate = 1.0 ) valids <- list(test = dtest) model <- lgb.train( params = params , data = dtrain , nrounds = 5L , valids = valids , early_stopping_rounds = 3L ) model_file <- tempfile(fileext = ".txt") lgb.save(model, model_file) load_booster <- lgb.load(filename = model_file) model_string <- model$save_model_to_string(NULL) # saves best iteration load_booster_from_str <- lgb.load(model_str = model_string)
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