Package ai.libs.jaicore.ml.learningcurve.extrapolation.ipl

Class InversePowerLawLearningCurve

java.lang.Object

ai.libs.jaicore.ml.learningcurve.extrapolation.ipl.InversePowerLawLearningCurve

All Implemented Interfaces:

AnalyticalLearningCurve, LearningCurve

public class InversePowerLawLearningCurve
extends java.lang.Object
implements AnalyticalLearningCurve

Representation of a learning curve with the Inverse Power Law function, which has three parameters named a, b and c. The function is f(x) = (1-a) - b * x^c. O

Constructor Summary

Constructors

Constructor	Description
InversePowerLawLearningCurve(double a, double b, double c)
InversePowerLawLearningCurve(InversePowerLawConfiguration configuration)

Method Summary

Modifier and Type	Method	Description
double	getA()
double	getB()
double	getC()
double	getConvergenceValue()	Calculates or looks-up the value the learning curve converges to.
double	getCurveValue(double x)	Calculates or looks-up the curves value at a given point.
double	getDerivativeCurveValue(double x)	Calculates or looks-up the value of the derivative of the learning point at a given point.
double	getSaturationPoint(double epsilon)	Calculated or search a saturation point with a tolerance of epsilon.
java.lang.String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

InversePowerLawLearningCurve

public InversePowerLawLearningCurve(double a,
                                    double b,
                                    double c)

InversePowerLawLearningCurve

public InversePowerLawLearningCurve(InversePowerLawConfiguration configuration)

Method Detail

getSaturationPoint

public double getSaturationPoint(double epsilon)

Description copied from interface: AnalyticalLearningCurve

Calculated or search a saturation point with a tolerance of epsilon.

Specified by:

getSaturationPoint in interface AnalyticalLearningCurve

Parameters:

epsilon - Epsilon value(must be > 0) that is a tolerance the saturation point can deviate.

Returns:

Saturation point with tolerated deviation.

getCurveValue

public double getCurveValue(double x)

Description copied from interface: LearningCurve

Calculates or looks-up the curves value at a given point.

Specified by:

getCurveValue in interface LearningCurve

Parameters:

x - The x value of the point.

Returns:

The y value of the curve at the given x value.

getDerivativeCurveValue

public double getDerivativeCurveValue(double x)

Description copied from interface: AnalyticalLearningCurve

Calculates or looks-up the value of the derivative of the learning point at a given point.

Specified by:

getDerivativeCurveValue in interface AnalyticalLearningCurve

Parameters:

x - The x value of the point.

Returns:

The y value of the derivative at the given x value.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

getConvergenceValue

public double getConvergenceValue()

Description copied from interface: AnalyticalLearningCurve

Calculates or looks-up the value the learning curve converges to. In other words, the convergence value is the value that would be achieved if sufficiently much data would be available.

Specified by:

getConvergenceValue in interface AnalyticalLearningCurve

Returns:

getA

public double getA()

getB

public double getB()

getC

public double getC()