LossScoreTransformer (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<I>
  - - ai.libs.jaicore.ml.core.evaluation.measure.LossScoreTransformer<I>

Type Parameters:

I - The input domain of the two measures.

All Implemented Interfaces:

IMeasure<I,java.lang.Double>

Direct Known Subclasses:

AutoMEKAGGPFitnessMeasure, ExactMatchAccuracy, F1MacroAverageLLoss, HammingAccuracy, InstanceWiseF1AsLoss, JaccardLoss, RankScore
```
public class LossScoreTransformer<I>
extends ADecomposableDoubleMeasure<I>
```
This transformer transforms a decomposable double measure from a scoring function to a loss or vice versa. It is required that the measured values lie in the interval [0,1]. Another requirement is that the input domains of the two measures are the same.

Constructor Summary

Constructors
Constructor Description

LossScoreTransformer(ADecomposableDoubleMeasure<I> measure)
Constructor for setting the measure to be transformed from loss to score or vice versa.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`java.lang.Double`	`calculateMeasure(I actual, I 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

- Constructor Detail
  - LossScoreTransformer
```
public LossScoreTransformer(ADecomposableDoubleMeasure<I> measure)
```
    Constructor for setting the measure to be transformed from loss to score or vice versa.
    
    Parameters:
    
    measure - The measure to be transformed into the opposite.
- Method Detail
  - calculateMeasure
```
public java.lang.Double calculateMeasure(I actual,
                                         I 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.