```
public final class Pearson
extends java.lang.Object
```
Here we compute Pearson correlation coefficient and turn that into a metric. We use the formula from https://en.wikipedia.org/wiki/Pearson_correlation_coefficient#For_a_sample for the Pearson computation. If input arrays are of different length we ignore the longer tail. In the end we turn Pearson's r into a metric moving it to the range 0..1

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static double`	`doubleMetric(double[] a, double[] b)`
`static double`	`floatMetric(float[] a, float[] b)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

public static double floatMetric(float[] a,
                                 float[] b)

public static double doubleMetric(double[] a,
                                  double[] b)

Class Pearson