ADecomposableDoubleMeasure (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>

Type Parameters:

I - The type of the inputs to compute the measure.

All Implemented Interfaces:

IMeasure<I,java.lang.Double>

Direct Known Subclasses:

ADecomposableMultilabelMeasure, ASquaredErrorLoss, HammingLoss, JaccardScore, LossScoreTransformer, RankLoss, ZeroOneLoss
```
public abstract class ADecomposableDoubleMeasure<I>
extends ADecomposableMeasure<I,java.lang.Double>
```
A measure that is decomposable by instances and aggregated by averaging.

Constructor Summary

Constructors
Constructor Description

ADecomposableDoubleMeasure()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`java.lang.Double`	`calculateAvgMeasure(java.util.List<I> actual, java.util.List<I> 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.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
calculateMeasure

- Constructor Detail
  - ADecomposableDoubleMeasure
```
public ADecomposableDoubleMeasure()
```
- Method Detail
  - calculateAvgMeasure
```
public java.lang.Double calculateAvgMeasure(java.util.List<I> actual,
                                            java.util.List<I> 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.
    
    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.