code: def _ratio_scores(parameters_value, clusteringmodel_gmm_good, clusteringmodel_gmm_bad):
      '''
      The ratio is smaller the better
      '''
      ratio = clusteringmodel_gmm_good.score([parameters_value]) / clusteringmodel_gmm_bad.score([parameters_value])
      sigma = 0
      return ratio, sigmf _ratio_scores(parameters_value, clusteringmodel_gmm_good, clusteringmodel_gmm_bad):
      '''
      The ratio is smaller the better
      '''
      ratio = clusteringmodel_gmm_good.score([parameters_value]) / clusteringmodel_gmm_bad.score([parameters_value])
      sigma = 0
      return ratio, sigma
docs: The ratio is smaller the better