class_docstr: Class for computing metrics based on a single
  :obj:`~aif360.datasets.BinaryLabelDataset`.
class_docstr_tok: ["Class","for","computing","metrics","based","on","a","single",":","obj",":","`","~aif360.datasets.BinaryLabelDataset","`","."]
docstr: Alias of :meth:`statistical_parity_difference`.
docstr_tok: ["Alias","of",":","meth",":","`","statistical_parity_difference","`","."]
code: def mean_difference(self):
      """Alias of :meth:`statistical_parity_difference`."""
      return self.statistical_parity_difference()
  
imports: import numpy
  from sklearn.neighbors import NearestNeighbors
  from aif360.algorithms.inprocessing.gerryfair.auditor import Auditor
  from aif360.datasets import BinaryLabelDataset
  from aif360.datasets.multiclass_label_dataset import MulticlassLabelDataset
  from aif360.metrics import DatasetMetric, utils
  from aif360.algorithms.inprocessing.gerryfair.clean import *
label_desc: Use image node_id 10 for calling the BinaryLabelDatasetMetric obj's underlying member method code with example usage: obj.mean_difference() and returns: self