AInstanceMeasure (jaicore-ml 0.2.5 API)

java.lang.Object
- ai.libs.jaicore.ml.classification.loss.instance.AInstanceMeasure<E,A>

Type Parameters:

E - The type of the expected value.

A - The type of the actual/predicted.

All Implemented Interfaces:

org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<A,E>

Direct Known Subclasses:

AbsoluteError, CrossEntropyLoss, JaccardScore, LogLoss, SquaredError, SquaredLogarithmicError
```
public class AInstanceMeasure<E,A>
extends java.lang.Object
implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<A,E>
```
Abstract class for instance-based measures.

- Constructor Summary
  
  Constructors
  Constructor Description
  
  AInstanceMeasure()
- Method Summary
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method Description
  
  double loss(E expected, A predicted)
  
  double score(E expected, A predicted)
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - AInstanceMeasure
```
public AInstanceMeasure()
```
- Method Detail
  - loss
```
public double loss(E expected,
                   A predicted)
```
    Specified by:
    
    loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<E,A>
  - score
```
public double score(E expected,
                    A predicted)
```
    Specified by:
    
    score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<E,A>