code: def test_targetvalidator_multilabel(input_data_targettest):
      assert (
          type_of_target(input_data_targettest)
          == "multilabel-indicator"
      )
      validator = TargetValidator(is_classification=True)
      # Test the X_test also!
      validator.fit(input_data_targettest, input_data_targettest)
      transformed_y = validator.transform(input_data_targettest)
      assert type_of_target(transformed_y) == "multilabel-indicator"
  
imports: import numpy
  import pandas
  import sklearn.datasets
  import sklearn.model_selection
  from pandas.api.types import is_bool_dtype, is_numeric_dtype
  from scipy import sparse
  from sklearn.utils.multiclass import type_of_target
  from autosklearn.data.target_validator import TargetValidator
  import pytest
label_desc: Use image node_id 6 for calling a global function with example usage: test_targetvalidator_multilabel(input_data_targettest) without return types