Package ai.kognition.pilecv4j.nr

Class LinearRegression

java.lang.Object
ai.kognition.pilecv4j.nr.LinearRegression
All Implemented Interfaces:
Minimizer.Func
@Deprecated public class LinearRegression extends Object implements Minimizer.Func
Deprecated.

NOTE: DO NOT USE THIS CLASS. IT'S ONLY KEPT FOR REFERENCE. The error term is calculated using the perpendicular distance. This is LESS robust for determining the slope/intercept form of a line than minimizing the vertical distance (i.e. the error in the 'y' term only). because the starting point cannot be rotated through the Y axis. As an example, 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.

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]

  • Constructor Details

    • LinearRegression

      public LinearRegression(double[] x, double[] y)
      Deprecated.

  • Method Details

    • func

      public double func(double[] lineDefMb)
      Deprecated.
      Specified by:
      func in interface Minimizer.Func