smile.validation.metric

Class R2

java.lang.Object

smile.validation.metric.R2

All Implemented Interfaces:

java.io.Serializable, RegressionMetric

public class R2
extends java.lang.Object
implements RegressionMetric

R². R² coefficient of determination measures how well the regression line approximates the real data points. An R² of 1.0 indicates that the regression line perfectly fits the data.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static R2	instance Default instance.

Constructor Summary

Constructors

Constructor and Description
R2()

Method Summary

Modifier and Type	Method and Description
static double	of(double[] truth, double[] prediction) Calculates the R squared coefficient.
double	score(double[] truth, double[] prediction) Returns a score to measure the quality of regression.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

instance

public static final R2 instance

Default instance.

Constructor Detail

R2

public R2()

Method Detail

score

public double score(double[] truth,
                    double[] prediction)

Description copied from interface: RegressionMetric

Returns a score to measure the quality of regression.

Specified by:

score in interface RegressionMetric

Parameters:

truth - the true response values.

prediction - the predicted response values.

of

public static double of(double[] truth,
                        double[] prediction)

Calculates the R squared coefficient.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object