ai.libs.jaicore.ml.core.evaluation.measure.singlelabel

Class RootMeanSquaredErrorLoss

java.lang.Object

ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure<I,java.lang.Double>

ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure<java.lang.Double>

ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.ASquaredErrorLoss

ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.RootMeanSquaredErrorLoss

All Implemented Interfaces:

IMeasure<java.lang.Double,java.lang.Double>, java.io.Serializable

public class RootMeanSquaredErrorLoss
extends ASquaredErrorLoss

The root mean squared loss function. This loss function computes the sum of differences of expected/actual pairs, divides this by the number of observations, and takes the square root.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RootMeanSquaredErrorLoss()

Method Summary

Modifier and Type	Method and Description
java.lang.Double	calculateAvgMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected) Computes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the mean, as this is the most frequently used aggregate function.

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.measure.singlelabel.ASquaredErrorLoss

calculateMeasure

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure

calculateMeasure, calculateMeasure

Methods inherited from class java.lang.Object

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

Constructor Detail

RootMeanSquaredErrorLoss

public RootMeanSquaredErrorLoss()

Method Detail

calculateAvgMeasure

public java.lang.Double calculateAvgMeasure(java.util.List<java.lang.Double> actual,
                                            java.util.List<java.lang.Double> expected)

Description copied from interface: IMeasure

Computes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the mean, as this is the most frequently used aggregate function.

Specified by:

calculateAvgMeasure in interface IMeasure<java.lang.Double,java.lang.Double>

Overrides:

calculateAvgMeasure in class ADecomposableDoubleMeasure<java.lang.Double>

Parameters:

actual - The list of actually available values.

expected - The list of expected values to compare the actual values with.

Returns:

The mean of return values as output by the instance-wise measure.