code: def kernel_tstudent(
      fm_train_real=traindat, fm_test_real=testdat, degree=2.0
  ):
      import shogun as sg
  
      feats_train = sg.create_features(fm_train_real)
      feats_test = sg.create_features(fm_test_real)
  
      distance = sg.create_distance("EuclideanDistance")
  
      kernel = sg.create_kernel(
          "TStudentKernel", degree=degree, distance=distance
      )
      kernel.init(feats_train, feats_train)
      km_train = kernel.get_kernel_matrix()
  
      kernel.init(feats_train, feats_test)
      km_test = kernel.get_kernel_matrix()
      return km_train, km_test, kernel
  
label_desc: Use image node_id 1 for calling a global function with example usage: kernel_tstudent(fm_train_real, fm_test_real, degree) and returns: km_train,  km_test,  kernel