code: def test_kernel_transform(make_data):
      data, expected = make_data()
      t = ClinicalKernelTransform()
  
      t.fit(data)
      df_test = pd.DataFrame(t.X_fit_, columns=data.columns)
      mat = t.transform(df_test)
  
      assert_array_almost_equal(expected, mat, 4)
  
imports: import numpy
  from numpy.testing import assert_array_almost_equal
  import pandas
  import pytest
  from sklearn.base import clone
  from sklearn.metrics.pairwise import pairwise_kernels
  from sksurv.kernels import ClinicalKernelTransform, clinical_kernel
label_desc: Use image node_id 8 for calling the TestClinicalKernel obj's underlying member method code with example usage: obj.test_kernel_transform(make_data) without return types