Load LightGBM model

Load LightGBM model from saved model file or string 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)

Arguments

filename	path of model file
model_str	a str containing the model

Value

lgb.Booster

Examples

library(lightgbm)
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")
valids <- list(test = dtest)
model <- lgb.train(params,
                   dtrain,
                   100,
                   valids,
                   min_data = 1,
                   learning_rate = 1,
                   early_stopping_rounds = 10)
#> [1]:	test's l2:6.44165e-17 
#> [2]:	test's l2:6.44165e-17 
#> [3]:	test's l2:6.44165e-17 
#> [4]:	test's l2:6.44165e-17 
#> [5]:	test's l2:6.44165e-17 
#> [6]:	test's l2:6.44165e-17 
#> [7]:	test's l2:6.44165e-17 
#> [8]:	test's l2:6.44165e-17 
#> [9]:	test's l2:6.44165e-17 
#> [10]:	test's l2:6.44165e-17 
#> [11]:	test's l2:6.44165e-17 
lgb.save(model, "model.txt")
load_booster <- lgb.load(filename = "model.txt")
model_string <- model$save_model_to_string(NULL) # saves best iteration
load_booster_from_str <- lgb.load(model_str = model_string)