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 = params , data = dtrain , nrounds = 10L , valids = valids , min_data = 1L , learning_rate = 1.0 , early_stopping_rounds = 5L )
#> [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
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)