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Create a notebook that showcases the EqualizedOddsImprovement metric #777

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Create a notebook that showcases the EqualizedOddsImprovement metric #777

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482328d
Add EqualizedOddsImprovement
fealho Jun 17, 2025
7a70825
Fix validation methods
fealho Jun 23, 2025
9de8f92
Feedback
fealho Jun 25, 2025
79cd99e
Add notebook
fealho Jun 25, 2025
06b2469
Clean up notebook
fealho Jun 25, 2025
ea30f03
Flip female rows
fealho Jun 25, 2025
13b2aca
Flip males
fealho Jun 26, 2025
be25793
Merge branch 'main' into issue-776-notebook
fealho Jun 27, 2025
14c9eaf
Rewrite notebook
fealho Jun 30, 2025
ea62f0a
Remove validation changes, add data bias
fealho Jul 1, 2025
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820 changes: 820 additions & 0 deletions resources/equalized_odds_improvement_tutorial.ipynb
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10 changes: 5 additions & 5 deletions sdmetrics/single_table/equalized_odds.py
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Original file line number Diff line number Diff line change
Expand Up @@ -272,6 +272,11 @@ def _validate_parameters(
required_columns = [prediction_column_name, sensitive_column_name]
_validate_required_columns(dataframes_dict, required_columns)

# Use base class validation for real_training_data and synthetic_data
real_training_data, synthetic_data, metadata = cls._validate_inputs(
real_training_data, synthetic_data, metadata
)

# Validate data and metadata consistency for prediction column
_validate_data_and_metadata(
real_training_data,
Expand All @@ -286,11 +291,6 @@ def _validate_parameters(
column_value_pairs = [(sensitive_column_name, sensitive_column_value)]
_validate_column_values_exist(dataframes_dict, column_value_pairs)

# Use base class validation for real_training_data and synthetic_data
real_training_data, synthetic_data, metadata = cls._validate_inputs(
real_training_data, synthetic_data, metadata
)

# Validate the validation data separately (not part of standard _validate_inputs)
real_validation_data = real_validation_data.copy()

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