SubgroupErrorAnalyzer

Analyzer to compute error metrics for subgroups.

Parameters

• X_test (pandas.core.frame.DataFrame)

  Processed features test set

• y_test (pandas.core.frame.DataFrame)

  Targets test set

• sensitive_attributes_dct (dict)

  A dictionary where keys are sensitive attributes names (including attributes intersections), and values are privilege values for these subgroups

• test_protected_groups (dict) – defaults to None

  A dictionary where keys are sensitive attributes, and values input dataset rows that are correspondent to these sensitive attributes.

• computation_mode (str) – defaults to None

  [Optional] A non-default mode for metrics computation. Should be included in the ComputationMode enum.

Methods

compute_subgroup_metrics

Compute metrics for each subgroup in self.test_protected_groups using _compute_metrics method.

Return a dictionary where keys are subgroup names, and values are subgroup metrics.

Parameters

• y_preds
• models_predictions (dict)
• save_results (bool)
• result_filename (str) – defaults to None
• save_dir_path (str) – defaults to None

save_metrics_to_file

Parameters

• result_filename (str)
• save_dir_path (str)