code: def load_parameters_from_yaml(self, yamlfile, update_sources=False):
          
          d = utils.load_yaml(yamlfile)
          for src, src_pars in d.items():
              for par_name, par_dict in src_pars.items():
                  if par_name in ['SpectrumType']:
                      continue
                  par_value = par_dict.get('value', None)
                  par_error = par_dict.get('error', None)
                  par_scale = par_dict.get('scale', None)
                  par_min = par_dict.get('min', None)
                  par_max = par_dict.get('max', None)
                  par_free = par_dict.get('free', None)
                  if par_min is not None and par_max is not None:
                      par_bounds = [par_min, par_max]
                  else:
                      par_bounds = None
                  try:
                      self.set_parameter(src, par_name, par_value, true_value=False,
                                         scale=par_scale, bounds=par_bounds, error=par_error,
                                         update_source=update_sources)
                  except RuntimeError as msg:
                      self.logger.warn(msg)
                      self.logger.warn("Did not set parameter %s:%s"%(src,par_name))                    
                      continue
                  except Exception as msg:
                      self.logger.warn(msg)
                      continue
                  if par_free is not None:
                      self.free_parameter(src, par_name, par_free)
          self._sync_params_state()
docs: Load model parameters from yaml
  
          Parameters
          ----------
          yamlfile : str
              Name of the input yaml file.