AnalyticalLearningCurve (jaicore-ml 0.1.6 API)

All Superinterfaces:

LearningCurve

All Known Implementing Classes:

InversePowerLawLearningCurve, LinearCombinationLearningCurve
```
public interface AnalyticalLearningCurve
extends LearningCurve
```
Added some analytical functions to a learning curve.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`getConvergenceValue()`	Calculates or looks-up the value the learning curve converges to.
`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 interface ai.libs.jaicore.ml.interfaces.LearningCurve
getCurveValue

- Method Detail
  - getDerivativeCurveValue
```
double getDerivativeCurveValue(double x)
```
    Calculates or looks-up the value of the derivative of the learning point at a given point.
    
    Parameters:
    
    x - The x value of the point.
    
    Returns:
    
    The y value of the derivative at the given x value.
  - getConvergenceValue
```
double getConvergenceValue()
```
    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.
    
    Returns:
  - getSaturationPoint
```
double getSaturationPoint(double epsilon)
```
    Calculated or search a saturation point with a tolerance of epsilon.
    
    Parameters:
    
    epsilon - Epsilon value(must be > 0) that is a tolerance the saturation point can deviate.
    
    Returns:
    
    Saturation point with tolerated deviation.