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

Class PrecisionAsLoss

java.lang.Object

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

All Implemented Interfaces:

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

public class PrecisionAsLoss
extends java.lang.Object
implements IMeasure<java.lang.Double,java.lang.Double>

Constructor Summary

Constructors

Constructor and Description
PrecisionAsLoss(int positiveClass)

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.
java.lang.Double	calculateMeasure(java.lang.Double actual, java.lang.Double expected) Computes the measure for a measured input actual and the expected outcome expected.
java.util.List<java.lang.Double>	calculateMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected) Computes the measure for a lists of input actual and the expected outcome expected.
java.lang.Double	calculateMeasure(java.util.List<java.lang.Double> actual, java.util.List<java.lang.Double> expected, ai.libs.jaicore.basic.aggregate.IAggregateFunction<java.lang.Double> aggregateFunction) Computes the measure for lists of input actual and the expected outcome expected and aggregates the measured values with the given aggregation.

Methods inherited from class java.lang.Object

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

Constructor Detail

PrecisionAsLoss

public PrecisionAsLoss(int positiveClass)

Method Detail

calculateMeasure

public java.lang.Double calculateMeasure(java.lang.Double actual,
                                         java.lang.Double expected)

Description copied from interface: IMeasure

Computes the measure for a measured input actual and the expected outcome expected.

Specified by:

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

Parameters:

actual - The actually available values.

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

Returns:

The return value of the measure.

calculateMeasure

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

Description copied from interface: IMeasure

Computes the measure for a lists of input actual and the expected outcome expected.

Specified by:

calculateMeasure in interface IMeasure<java.lang.Double,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 list of return values of the measure.

calculateMeasure

public java.lang.Double calculateMeasure(java.util.List<java.lang.Double> actual,
                                         java.util.List<java.lang.Double> expected,
                                         ai.libs.jaicore.basic.aggregate.IAggregateFunction<java.lang.Double> aggregateFunction)

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 given aggregation.

Specified by:

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

Parameters:

actual - The list of actually available values.

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

aggregateFunction - The aggregate function to be used to aggregate all the measurements.

Returns:

The aggregated return value of the measure.

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>

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.