| lgb.get.eval.result {lightgbm} | R Documentation |
Get record evaluation result from booster
lgb.get.eval.result( booster, data_name, eval_name, iters = NULL, is_err = FALSE )
booster |
Object of class |
data_name |
name of dataset |
eval_name |
name of evaluation |
iters |
iterations, NULL will return all |
is_err |
TRUE will return evaluation error instead |
vector of evaluation result
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 ) lgb.get.eval.result(model, "test", "l2")