class_docstr: A Gaussian process for Neural Networks. 
docstr: Compute the kernel matrix from distances if they are provided. 
docstr_tok: ["Compute","the","kernel","matrix","from","distances","if","they","are","provided","."]
code: def _get_training_kernel_matrix(self):
      """Compute the kernel matrix from distances if they are provided."""
      if self.list_of_dists is not None:
          return self.kernel.evaluate_from_dists(self.list_of_dists)
      else:
          return self.kernel(self.X, self.X)
  
imports: import numpy
  from .None import otmann
  from ..gp import gp_core
  from ..utils.ancillary_utils import get_list_of_floats_as_str
  from ..utils.reporters import get_reporter
  from ..utils.option_handler import get_option_specs, load_options
label_desc: Use image node_id 4 for calling the NNGP obj's underlying member method code with example usage: obj._get_training_kernel_matrix() and returns: self, self