class_docstr: A Gaussian process for Neural Networks. 
docstr: Returns a description of the alphas. 
docstr_tok: ["Returns","a","description","of","the","alphas","."]
code: def _get_scales_str(self):
      """Returns a description of the alphas."""
      if "alphas" in self.kernel.hyperparams.keys():
          return "alphas=" + get_list_of_floats_as_str(
              self.kernel.hyperparams["alphas"]
          )
      else:
          return "scale=" + str(
              round(self.kernel.hyperparams["scale"], 4)
          )
  
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 6 for calling the NNGP obj's underlying member method code with example usage: obj._get_scales_str() and returns: unknown, unknown