Class BasicFairnessEvaluator<T>

Namespace

AiDotNet.Interpretability

Assembly

AiDotNet.dll

Basic fairness evaluator that computes only fundamental fairness metrics. Includes demographic parity (statistical parity difference) and disparate impact. Does not require actual labels.

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

Type Parameters

T

The numeric type for calculations.

Inheritance

object

FairnessEvaluatorBase<T>

BasicFairnessEvaluator<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

BasicFairnessEvaluator()

Initializes a new instance of the BasicFairnessEvaluator class.

public BasicFairnessEvaluator()

Methods

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

Computes basic fairness metrics (demographic parity and disparate impact).

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>