class_docstr: A Gaussian process for Neural Networks. 
docstr: Description of the child GP. 
docstr_tok: ["Description","of","the","child","GP","."]
code: def _child_str(self):
      """Description of the child GP."""
      scales_str = self._get_scales_str()
      betas_str = "betas=" + get_list_of_floats_as_str(
          self.kernel.hyperparams["betas"]
      )
      return (
          self.kernel.dist_type + ":: " + scales_str + " " + betas_str
      )
  
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 5 for calling the NNGP obj's underlying member method code with example usage: obj._child_str() and returns: unknown