train_y <- as.integer(dataset[, get("diabetes")]) - 1L
desc = "test nested cv, bayesian, binary - lightgbm",
lightgbm_optimizer$performance_metric_args <- list(positive = "1")

"test nested cv, bayesian, binary - lightgbm"

test nested cv, bayesian, binary - lightgbm

train_y <- as.integer(dataset[, get("Class")]) - 1L
desc = "test nested cv, bayesian, multiclass - lightgbm",
lightgbm_optimizer$predict_args <- list(reshape = TRUE)

"test nested cv, bayesian, multiclass - lightgbm"

test nested cv, bayesian, multiclass - lightgbm

desc = "test nested cv, bayesian, regression - lightgbm",
desc = "test nested cv, grid - lightgbm",

"test nested cv, bayesian, regression - lightgbm"

test nested cv, bayesian, regression - lightgbm