lgb.dump | R Documentation |
Dump LightGBM model to json
lgb.dump(booster, num_iteration = NULL, start_iteration = 1L)
booster |
Object of class |
num_iteration |
Number of iterations to be dumped. NULL or <= 0 means use best iteration |
start_iteration |
Index (1-based) of the first boosting round to dump.
For example, passing New in version 4.4.0 |
json format of model
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"
, min_data = 1L
, learning_rate = 1.0
, num_threads = 2L
)
valids <- list(test = dtest)
model <- lgb.train(
params = params
, data = dtrain
, nrounds = 10L
, valids = valids
, early_stopping_rounds = 5L
)
json_model <- lgb.dump(model)
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