docstr: Determine fairness measures supported based on columns in data frame.
code: def get_fairness_measures_supported(self, input_df):
      """
      Determine fairness measures supported based on columns in data frame.
      """
      if "label_value" not in input_df.columns:
          self.fair_measures_supported = [
              "Statistical Parity",
              "Impact Parity",
          ]
      return self.fair_measures_supported
  
file_path: aequitas/src/aequitas/fairness.py
imports: import logging
  import numpy
  import pandas
label_desc: Use image node_id 2 for calling the Fairness obj's underlying member method code with example usage: obj.get_fairness_measures_supported(input_df) and returns: self