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Dataset Analysis →
Tools for analyzing training data bias including demographic representation, feature correlation, and historical bias identification.
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Model Evaluation →
Fairness metrics including disparate impact analysis, equal opportunity difference, and demographic parity.
Dataset Analysis Example
from bias_scanner import DatasetAnalyzer
analyzer = DatasetAnalyzer(dataset)
report = analyzer.generate_bias_report()Model Evaluation Example
from bias_scanner import ModelEvaluator
evaluator = ModelEvaluator(model)
fairness_metrics = evaluator.compute_metrics()