Package smile.validation.metric

Class MSE

java.lang.Object

smile.validation.metric.MSE

All Implemented Interfaces:

Serializable, ToDoubleBiFunction<double[],double[]>, RegressionMetric

public class MSE
extends Object
implements RegressionMetric

Mean squared error.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static final MSE	instance	Default instance.

Constructor Summary

Constructors

Constructor	Description
MSE()

Method Summary

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

Methods inherited from class java.lang.Object

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

Methods inherited from interface smile.validation.metric.RegressionMetric

applyAsDouble

Field Details

instance

public static final MSE instance

Default instance.

Constructor Details

MSE

public MSE()

Method Details

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.

Returns:

the metric.

of

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

Calculates the mean squared error.

Parameters:

truth - the ground truth.

prediction - the prediction.

Returns:

the metric.

toString

public String toString()

Overrides:

toString in class Object