SimpleLinearRegression (lib-nr 0.17 API)

java.lang.Object
- ai.kognition.pilecv4j.nr.SimpleLinearRegression

All Implemented Interfaces:

Minimizer.Func
```
public class SimpleLinearRegression
extends java.lang.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.

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

Field Detail

y
```
public final double[] y
```

x
```
public final double[] x
```

Constructor Detail

SimpleLinearRegression

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

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