smile.validation

Class MeanAbsoluteDeviation

java.lang.Object

smile.validation.MeanAbsoluteDeviation

All Implemented Interfaces:

RegressionMeasure

public class MeanAbsoluteDeviation
extends java.lang.Object
implements RegressionMeasure

Mean absolute deviation error.

Field Summary

Fields

Modifier and Type	Field and Description
static MeanAbsoluteDeviation	instance

Constructor Summary

Constructors

Constructor and Description
MeanAbsoluteDeviation()

Method Summary

Modifier and Type	Method and Description
double	measure(double[] truth, double[] prediction) Returns an index to measure the quality of regression.
static double	of(double[] truth, double[] prediction) Calculates the mean absolute deviation error.
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 MeanAbsoluteDeviation instance

Constructor Detail

MeanAbsoluteDeviation

public MeanAbsoluteDeviation()

Method Detail

measure

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

Description copied from interface: RegressionMeasure

Returns an index to measure the quality of regression.

Specified by:

measure in interface RegressionMeasure

Parameters:

truth - the true response values.

prediction - the predicted response values.

of

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

Calculates the mean absolute deviation error.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object