ExactMatchLoss (jaicore-ml 0.1.6 API)

java.lang.Object
- ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure<I,java.lang.Double>
- - ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure<double[]>
  - - ai.libs.jaicore.ml.core.evaluation.measure.multilabel.ADecomposableMultilabelMeasure
    - - ai.libs.jaicore.ml.core.evaluation.measure.multilabel.ExactMatchLoss

All Implemented Interfaces:

IMeasure<double[],java.lang.Double>, IMultilabelMeasure
```
public class ExactMatchLoss
extends ADecomposableMultilabelMeasure
```

Constructor Summary

Constructors
Constructor Description

ExactMatchLoss()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`java.lang.Double`	`calculateMeasure(double[] actual, double[] expected)`	Computes the measure for a measured input actual and the expected outcome expected.

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

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

Methods inherited from interface ai.libs.jaicore.ml.core.evaluation.measure.IMeasure
calculateAvgMeasure, calculateMeasure, calculateMeasure

- Constructor Detail
  - ExactMatchLoss
```
public ExactMatchLoss()
```
- Method Detail
  - calculateMeasure
```
public java.lang.Double calculateMeasure(double[] actual,
                                         double[] expected)
```
    Description copied from interface: IMeasure
    
    Computes the measure for a measured input actual and the expected outcome expected.
    
    Parameters:
    
    actual - The actually available values.
    
    expected - The expected values to compare the actual values with.
    
    Returns:
    
    The return value of the measure.