Accuracy (Deep Java Library 0.24.0 API specification)

java.lang.Object
- ai.djl.training.evaluator.Evaluator
- - ai.djl.training.evaluator.AbstractAccuracy
  - - ai.djl.training.evaluator.Accuracy

```
public class Accuracy
extends AbstractAccuracy
```
Accuracy is the AbstractAccuracy with multiple classes.

Field Summary
- Fields inherited from class ai.djl.training.evaluator.AbstractAccuracy
  axis, correctInstances
- Fields inherited from class ai.djl.training.evaluator.Evaluator
  totalInstances

Constructor Summary

Constructors
Constructor	Description
`Accuracy()`	Creates a multiclass accuracy evaluator that computes accuracy across axis 1 along the 0th index.
`Accuracy(java.lang.String name)`	Creates a multiclass accuracy evaluator that computes accuracy across axis 1 along the 0th index.
`Accuracy(java.lang.String name, int axis)`	Creates a multiclass accuracy evaluator.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`protected ai.djl.util.Pair<java.lang.Long,NDArray>`	`accuracyHelper(NDList labels, NDList predictions)`	A helper for classes extending `AbstractAccuracy`.

Methods inherited from class ai.djl.training.evaluator.AbstractAccuracy
addAccumulator, evaluate, getAccumulator, resetAccumulator, updateAccumulator

Methods inherited from class ai.djl.training.evaluator.Evaluator
checkLabelShapes, checkLabelShapes, getName

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Accuracy
```
public Accuracy()
```
    Creates a multiclass accuracy evaluator that computes accuracy across axis 1 along the 0th index.
  - Accuracy
```
public Accuracy(java.lang.String name)
```
    Creates a multiclass accuracy evaluator that computes accuracy across axis 1 along the 0th index.
    
    Parameters:
    
    name - the name of the evaluator, default is "Accuracy"
  - Accuracy
```
public Accuracy(java.lang.String name,
                int axis)
```
    Creates a multiclass accuracy evaluator.
    
    Parameters:
    
    name - the name of the evaluator, default is "Accuracy"
    
    axis - the axis that represent classes in prediction, default 1
- Method Detail
  - accuracyHelper
```
protected ai.djl.util.Pair<java.lang.Long,NDArray> accuracyHelper(NDList labels,
                                                                        NDList predictions)
```
    A helper for classes extending AbstractAccuracy.
    
    Specified by:
    
    accuracyHelper in class AbstractAccuracy
    
    Parameters:
    
    labels - the labels to get accuracy for
    
    predictions - the predictions to get accuracy for
    
    Returns:
    
    a pair(number of total values, ndarray int of correct values)