| 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,
dtrain,
100,
valids,
min_data = 1,
learning_rate = 1,
early_stopping_rounds = 10)
lgb.get.eval.result(model, "test", "l2")