code: def test_knn_multiclass(fit_helper):
      fit_args = dict(
          hyperparameters={KNNModel: {}},
      )
      dataset_name = "covertype_small"
      fit_helper.fit_and_validate_dataset(
          dataset_name=dataset_name, fit_args=fit_args
      )
  
imports: from autogluon.tabular.models.knn.knn_model import KNNModel
label_desc: Use image node_id 2 for calling a global function with example usage: test_knn_multiclass(fit_helper) without return types