| lgb.load {lightgbm} | R Documentation |
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)
filename |
path of model file |
model_str |
a str containing the model |
lgb.Booster
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)
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)