Package ai.kognition.pilecv4j.nr

Class LinearRegressionWithKnownSlope

java.lang.Object

ai.kognition.pilecv4j.nr.LinearRegressionWithKnownSlope

All Implemented Interfaces:

Minimizer.Func

public class LinearRegressionWithKnownSlope
extends Object
implements Minimizer.Func

This class will do a linear regression by minimizing the squared error between the points provided to the constructor and the line specified by y = m[0]x + m[1]

NOTE: The error term is calculated using the vertical distance. That is it minimizes the error in the 'y' term only. This is more robust for determining the slope/intercept form of a line because the starting point cannot be rotated through the Y axis. In other words, if the slope of the points is approximately -3.0 and the slope of the starting iteration is 3.0, then RAISING the slope lowers the perpendicular distance. This moves the iterations in the wrong direction.

Constructor Summary

Constructors

Constructor	Description
LinearRegressionWithKnownSlope(double slope, double[] x, double[] y)

Method Summary

Modifier and Type	Method	Description
double	func(double[] m)

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearRegressionWithKnownSlope

public LinearRegressionWithKnownSlope(double slope,
                                      double[] x,
                                      double[] y)

Method Detail

func

public double func(double[] m)

Specified by:

func in interface Minimizer.Func