有人可以告诉我是否可以指定方法来平衡课程，同时使用H2O的自动ML功能来解决分类问题？
h2o.automl(x, y, training_frame, validation_frame = NULL,
leaderboard_frame = NULL, nfolds = 5, fold_column = NULL,
weights_column = NULL, max_runtime_secs = 3600, max_models = NULL,
stopping_metric = c("AUTO", "deviance", "logloss", "MSE", "RMSE", "MAE",
"RMSLE", "AUC", "lift_top_group", "misclassification",
"mean_per_class_error"), stopping_tolerance = NULL, stopping_rounds = 3,
seed = NULL, project_name = NULL)
现有文档似乎没有指定任何参数。谢谢。