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

Class LinearCombinationLearningCurve

java.lang.Object

ai.libs.jaicore.ml.learningcurve.extrapolation.lc.LinearCombinationLearningCurve

All Implemented Interfaces:

AnalyticalLearningCurve, LearningCurve

public class LinearCombinationLearningCurve
extends java.lang.Object
implements AnalyticalLearningCurve

The LinearCombinationLearningCurve consists of the actual linear combination function that describes the learning curve, as well as the derivative of this function. The derivative is used in order to calculate the saturation point.

Constructor Summary

Constructors

Constructor	Description
LinearCombinationLearningCurve(LinearCombinationLearningCurveConfiguration configuration, int dataSetSize)

Method Summary

Modifier and Type	Method	Description
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.

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearCombinationLearningCurve

public LinearCombinationLearningCurve(LinearCombinationLearningCurveConfiguration configuration,
                                      int dataSetSize)

Method Detail

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.

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.

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.

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: