code: def test_kernel_shap_standalone(
      dtype, n_features, n_background, model
  ):
      X_train, X_test, y_train, y_test = create_synthetic_dataset(
          n_samples=n_background + 3,
          n_features=n_features,
          test_size=3,
          noise=0.1,
          dtype=dtype,
      )
  
      mod = model(n_components=3).fit(X_train, y_train)
      explainer, shap_values = get_shap_values(
          model=mod.transform,
          background_dataset=X_train,
          explained_dataset=X_test,
          explainer=KernelExplainer,
      )
  
      exp_v = explainer.expected_value
  
      # we have 3 lists of shap values, each corresponding to a component since
      # transform gives back arrays of shape (nrows x ncomponents)
      # we test that for each test row, for each component, the
      # sum of the shap values is the same as the difference between the
      # expected value for that component minus the value of the transform of
      # the row.
      for sv_idx in range(3):
          # pca and tsvd transform give results back nested
          fx = mod.transform(X_test[sv_idx].reshape(1, n_features))[0]
  
          for comp_idx in range(3):
              assert (
                  np.sum(shap_values[comp_idx][sv_idx])
                  - abs(fx[comp_idx] - exp_v[comp_idx])
              ) <= 1e-5
  
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 4 for calling a global function with example usage: test_kernel_shap_standalone(dtype, n_features, n_background, model) without return types