code: def test_typeerror_input():
      X, y = make_regression(
          n_samples=100, n_features=10, random_state=10
      )
      clf = Lasso()
      clf.fit(X, y)
      exp = KernelExplainer(model=clf.predict, data=X, nsamples=10)
      try:
          _ = exp.shap_values(X)
          assert True
      except TypeError:
          assert False
  
imports: from sklearn.model_selection import train_test_split
  from cuml.testing.utils import create_synthetic_dataset, ClassEnumerator, get_shap_values
  from cuml.datasets import make_regression
  from cuml.internals.import_utils import has_shap
  from cuml.internals.import_utils import has_scipy
  from cuml import KernelExplainer
  from cuml import Lasso
  import sklearn.neighbors
  import pytest
  import math
  from cuml.internals.safe_imports import cpu_only_import
  import cuml
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 14 for calling a global function with example usage: test_typeerror_input() without return types