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)#> [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 #> [11]: test's l2:6.44165e-17lgb.get.eval.result(model, "test", "l2")#> [1] 6.441652e-17 6.441652e-17 6.441652e-17 6.441652e-17 6.441652e-17 #> [6] 6.441652e-17 6.441652e-17 6.441652e-17 6.441652e-17 6.441652e-17 #> [11] 6.441652e-17