LinearRegression (lib-nr 0.16 API)

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 Summary
  
  Constructors
  Constructor Description
  
  LinearRegression(double[] x, double[] y)
  Deprecated.
- Method Summary
  
  All Methods Instance Methods Concrete Methods Deprecated Methods
  Modifier and Type Method Description
  
  double func(double[] lineDefMb)
  Deprecated.
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LinearRegression

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

Deprecated.

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