EntityRecognizerEvaluationMetrics (AWS SDK for Android

java.lang.Object
- com.amazonaws.services.comprehend.model.EntityRecognizerEvaluationMetrics

All Implemented Interfaces:

java.io.Serializable
```
public class EntityRecognizerEvaluationMetrics
extends java.lang.Object
implements java.io.Serializable
```
Detailed information about the accuracy of an entity recognizer.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description

EntityRecognizerEvaluationMetrics()

Constructors
Constructor and Description
`EntityRecognizerEvaluationMetrics()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`equals(java.lang.Object obj)`
`java.lang.Double`	`getF1Score()` A measure of how accurate the recognizer results are for the test data.
`java.lang.Double`	`getPrecision()` A measure of the usefulness of the recognizer results in the test data.
`java.lang.Double`	`getRecall()` A measure of how complete the recognizer results are for the test data.
`int`	`hashCode()`
`void`	`setF1Score(java.lang.Double f1Score)` A measure of how accurate the recognizer results are for the test data.
`void`	`setPrecision(java.lang.Double precision)` A measure of the usefulness of the recognizer results in the test data.
`void`	`setRecall(java.lang.Double recall)` A measure of how complete the recognizer results are for the test data.
`java.lang.String`	`toString()` Returns a string representation of this object; useful for testing and debugging.
`EntityRecognizerEvaluationMetrics`	`withF1Score(java.lang.Double f1Score)` A measure of how accurate the recognizer results are for the test data.
`EntityRecognizerEvaluationMetrics`	`withPrecision(java.lang.Double precision)` A measure of the usefulness of the recognizer results in the test data.
`EntityRecognizerEvaluationMetrics`	`withRecall(java.lang.Double recall)` A measure of how complete the recognizer results are for the test data.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - EntityRecognizerEvaluationMetrics
```
public EntityRecognizerEvaluationMetrics()
```
- Method Detail
  - getPrecision
```
public java.lang.Double getPrecision()
```
    A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
    
    Returns:
    
    A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
  - setPrecision
```
public void setPrecision(java.lang.Double precision)
```
    A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
    
    Parameters:
    
    precision -
    A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
  - withPrecision
```
public EntityRecognizerEvaluationMetrics withPrecision(java.lang.Double precision)
```
    A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    precision -
    A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getRecall
```
public java.lang.Double getRecall()
```
    A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
    
    Returns:
    
    A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
  - setRecall
```
public void setRecall(java.lang.Double recall)
```
    A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
    
    Parameters:
    
    recall -
    A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
  - withRecall
```
public EntityRecognizerEvaluationMetrics withRecall(java.lang.Double recall)
```
    A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    recall -
    A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getF1Score
```
public java.lang.Double getF1Score()
```
    A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.
    
    Returns:
    
    A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.
  - setF1Score
```
public void setF1Score(java.lang.Double f1Score)
```
    A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.
    
    Parameters:
    
    f1Score -
    A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.
  - withF1Score
```
public EntityRecognizerEvaluationMetrics withF1Score(java.lang.Double f1Score)
```
    A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    f1Score -
    A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - toString
```
public java.lang.String toString()
```
    Returns a string representation of this object; useful for testing and debugging.
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class java.lang.Object
  - equals
```
public boolean equals(java.lang.Object obj)
```
    Overrides:
    
    equals in class java.lang.Object

Class EntityRecognizerEvaluationMetrics

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

EntityRecognizerEvaluationMetrics

Method Detail

getPrecision

setPrecision

withPrecision

getRecall

setRecall

withRecall

getF1Score

setF1Score

withF1Score

toString

hashCode

equals