C# Class numl.Math.Information.Impurity

An impurity.

Afficher le fichier Open project: sethjuarez/numl

Méthodes publiques

Méthode	Description
Calculate ( Vector x ) : double	Calculates impurity measure of x.
Conditional ( Vector y, Vector x ) : double	Calculates conditional impurity of y \| x R(Y\|X) is the average of H(Y\|X = x) over all possible values X may take.
Gain ( Vector y, Vector x ) : double	Calculates information gain of y \| x.
RelativeGain ( Vector y, Vector x ) : double	Calculates relative information gain of y \| x.
SegmentedConditional ( Vector y, Vector x, IEnumerable ranges ) : double	Calculates segmented conditional impurity of y \| x When stipulating ranges (r), X is broken up into \|r\| many segments therefore P(X=x_r) becomes a range probability rather than a fixed probability. In essence the average over H(Y\|X = x) becomes SUM_s [ p_r * H(Y\|X = x_r) ]. The values that were used to do the split are stored in the Splits member.
SegmentedConditional ( Vector y, Vector x, int segments ) : double	Calculates segmented conditional impurity of y \| x When stipulating segments (s), X is broken up into s many segments therefore P(X=x_s) becomes a range probability rather than a fixed probability. In essence the average over H(Y\|X = x) becomes SUM_s [ p_s * H(Y\|X = x_s) ]. The values that were used to do the split are stored in the Splits member.
SegmentedGain ( Vector y, Vector x, IEnumerable ranges ) : double	Segmented gain.
SegmentedGain ( Vector y, Vector x, int segments ) : double	Segmented gain.
SegmentedRelativeGain ( Vector y, Vector x, IEnumerable ranges ) : double	Calculates relative information gain of y \| x with under specified ranges.
SegmentedRelativeGain ( Vector y, Vector x, int segments ) : double	Calculates relative information gain of y \| x with a specified number of segments.

Method Details

Calculate() public abstract méthode

Calculates impurity measure of x.

public abstract Calculate ( Vector x ) : double
x	numl.Math.LinearAlgebra.Vector	The list in question.
Résultat	double

Conditional() public méthode

Calculates conditional impurity of y | x R(Y|X) is the average of H(Y|X = x) over all possible values X may take.

Thrown when the requested operation is invalid.

public Conditional ( Vector y, Vector x ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	Conditioned impurity.
Résultat	double

Gain() public méthode

Calculates information gain of y | x.

public Gain ( Vector y, Vector x ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	Conditioned impurity.
Résultat	double

RelativeGain() public méthode

Calculates relative information gain of y | x.

public RelativeGain ( Vector y, Vector x ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	Conditioned impurity.
Résultat	double

SegmentedConditional() public méthode

Calculates segmented conditional impurity of y | x When stipulating ranges (r), X is broken up into |r| many segments therefore P(X=x_r) becomes a range probability rather than a fixed probability. In essence the average over H(Y|X = x) becomes SUM_s [ p_r * H(Y|X = x_r) ]. The values that were used to do the split are stored in the Splits member.

Thrown when the requested operation is invalid.

public SegmentedConditional ( Vector y, Vector x, IEnumerable ranges ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	Conditioned impurity.
ranges	IEnumerable	Number of segments over x to condition upon.
Résultat	double

SegmentedConditional() public méthode

Calculates segmented conditional impurity of y | x When stipulating segments (s), X is broken up into s many segments therefore P(X=x_s) becomes a range probability rather than a fixed probability. In essence the average over H(Y|X = x) becomes SUM_s [ p_s * H(Y|X = x_s) ]. The values that were used to do the split are stored in the Splits member.

Thrown when the requested operation is invalid.

public SegmentedConditional ( Vector y, Vector x, int segments ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	Conditioned impurity.
segments	int	Number of segments over x to condition upon.
Résultat	double

SegmentedGain() public méthode

Segmented gain.

public SegmentedGain ( Vector y, Vector x, IEnumerable ranges ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	The list in question.
ranges	IEnumerable	Number of segments over x to condition upon.
Résultat	double

SegmentedGain() public méthode

Segmented gain.

public SegmentedGain ( Vector y, Vector x, int segments ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	The list in question.
segments	int	Number of segments over x to condition upon.
Résultat	double

SegmentedRelativeGain() public méthode

Calculates relative information gain of y | x with under specified ranges.

public SegmentedRelativeGain ( Vector y, Vector x, IEnumerable ranges ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	Conditioned impurity.
ranges	IEnumerable	Range breakdown.
Résultat	double

SegmentedRelativeGain() public méthode

Calculates relative information gain of y | x with a specified number of segments.

public SegmentedRelativeGain ( Vector y, Vector x, int segments ) : double
y	numl.Math.LinearAlgebra.Vector	Target impurity.
x	numl.Math.LinearAlgebra.Vector	Conditioned impurity.
segments	int	Number of segments.
Résultat	double