Class ComprehensiveFairnessEvaluator<T>

Namespace

AiDotNet.Interpretability

Assembly

AiDotNet.dll

Comprehensive fairness evaluator that computes all major fairness metrics. Includes demographic parity, equal opportunity, equalized odds, predictive parity, disparate impact, and statistical parity difference.

public class ComprehensiveFairnessEvaluator<T> : FairnessEvaluatorBase<T>, IFairnessEvaluator<T>

Type Parameters

T

The numeric type for calculations.

Inheritance

object

FairnessEvaluatorBase<T>

ComprehensiveFairnessEvaluator<T>

Implements

IFairnessEvaluator<T>

Inherited Members

FairnessEvaluatorBase<T>._numOps

FairnessEvaluatorBase<T>._isHigherFairnessBetter

FairnessEvaluatorBase<T>.EvaluateFairness(IFullModel<T, Matrix<T>, Vector<T>>, Matrix<T>, int, Vector<T>)

FairnessEvaluatorBase<T>.IsHigherFairnessBetter

FairnessEvaluatorBase<T>.IsBetterFairnessScore(T, T)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

ComprehensiveFairnessEvaluator()

Initializes a new instance of the ComprehensiveFairnessEvaluator class.

public ComprehensiveFairnessEvaluator()

Methods

GetFairnessMetrics(IFullModel<T, Matrix<T>, Vector<T>>, Matrix<T>, int, Vector<T>?)

Computes comprehensive fairness metrics for the model.

protected override FairnessMetrics<T> GetFairnessMetrics(IFullModel<T, Matrix<T>, Vector<T>> model, Matrix<T> inputs, int sensitiveFeatureIndex, Vector<T>? actualLabels)

Parameters

model IFullModel<T, Matrix<T>, Vector<T>>

inputs Matrix<T>

sensitiveFeatureIndex int

actualLabels Vector<T>

Returns

FairnessMetrics<T>