Class FairnessMetrics<T>

Namespace

AiDotNet.Interpretability

Assembly

AiDotNet.dll

Represents fairness metrics for model evaluation.

public class FairnessMetrics<T>

Type Parameters

T

The numeric type for calculations.

Inheritance

object

FairnessMetrics<T>

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

FairnessMetrics(T, T, T, T, T, T)

Initializes a new instance of the FairnessMetrics class with all metric values.

public FairnessMetrics(T demographicParity, T equalOpportunity, T equalizedOdds, T predictiveParity, T disparateImpact, T statisticalParityDifference)

Parameters

demographicParity T

The demographic parity metric value.

equalOpportunity T

The equal opportunity metric value.

equalizedOdds T

The equalized odds metric value.

predictiveParity T

The predictive parity metric value.

disparateImpact T

The disparate impact metric value.

statisticalParityDifference T

The statistical parity difference metric value.

Exceptions

ArgumentNullException

Thrown when any parameter is null and T is a reference type.

Properties

AdditionalMetrics

Gets or sets additional fairness metrics.

public Dictionary<string, T> AdditionalMetrics { get; set; }

Property Value

Dictionary<string, T>

DemographicParity

Gets or sets the demographic parity metric value.

public T DemographicParity { get; set; }

Property Value

T

DisparateImpact

Gets or sets the disparate impact metric value.

public T DisparateImpact { get; set; }

Property Value

T

EqualOpportunity

Gets or sets the equal opportunity metric value.

public T EqualOpportunity { get; set; }

Property Value

T

EqualizedOdds

Gets or sets the equalized odds metric value.

public T EqualizedOdds { get; set; }

Property Value

T

PredictiveParity

Gets or sets the predictive parity metric value.

public T PredictiveParity { get; set; }

Property Value

T

SensitiveFeatureIndex

Gets or sets the sensitive feature index used for fairness evaluation.

public int SensitiveFeatureIndex { get; set; }

Property Value

int

StatisticalParityDifference

Gets or sets the statistical parity difference metric value.

public T StatisticalParityDifference { get; set; }

Property Value

T