EntityTypesEvaluationMetrics (AWS SDK for Java

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

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class EntityTypesEvaluationMetrics
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Detailed information about the accuracy of an entity recognizer for a specific entity type.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

EntityTypesEvaluationMetrics()

Constructors
Constructor and Description
`EntityTypesEvaluationMetrics()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`EntityTypesEvaluationMetrics`	`clone()`
`boolean`	`equals(Object obj)`
`Double`	`getF1Score()` A measure of how accurate the recognizer results are for a specific entity type in the test data.
`Double`	`getPrecision()` A measure of the usefulness of the recognizer results for a specific entity type in the test data.
`Double`	`getRecall()` A measure of how complete the recognizer results are for a specific entity type in the test data.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setF1Score(Double f1Score)` A measure of how accurate the recognizer results are for a specific entity type in the test data.
`void`	`setPrecision(Double precision)` A measure of the usefulness of the recognizer results for a specific entity type in the test data.
`void`	`setRecall(Double recall)` A measure of how complete the recognizer results are for a specific entity type in the test data.
`String`	`toString()` Returns a string representation of this object.
`EntityTypesEvaluationMetrics`	`withF1Score(Double f1Score)` A measure of how accurate the recognizer results are for a specific entity type in the test data.
`EntityTypesEvaluationMetrics`	`withPrecision(Double precision)` A measure of the usefulness of the recognizer results for a specific entity type in the test data.
`EntityTypesEvaluationMetrics`	`withRecall(Double recall)` A measure of how complete the recognizer results are for a specific entity type in the test data.

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

- Constructor Detail
  - EntityTypesEvaluationMetrics
```
public EntityTypesEvaluationMetrics()
```
- Method Detail
  - setPrecision
```
public void setPrecision(Double precision)
```
    A measure of the usefulness of the recognizer results for a specific entity type 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 for a specific entity type in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
  - getPrecision
```
public Double getPrecision()
```
    A measure of the usefulness of the recognizer results for a specific entity type 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 for a specific entity type in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
  - withPrecision
```
public EntityTypesEvaluationMetrics withPrecision(Double precision)
```
    A measure of the usefulness of the recognizer results for a specific entity type 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 for a specific entity type in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRecall
```
public void setRecall(Double recall)
```
    A measure of how complete the recognizer results are for a specific entity type in 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 a specific entity type in the test data. High recall means that the recognizer returned most of the relevant results.
  - getRecall
```
public Double getRecall()
```
    A measure of how complete the recognizer results are for a specific entity type in 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 a specific entity type in the test data. High recall means that the recognizer returned most of the relevant results.
  - withRecall
```
public EntityTypesEvaluationMetrics withRecall(Double recall)
```
    A measure of how complete the recognizer results are for a specific entity type in 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 a specific entity type in the test data. High recall means that the recognizer returned most of the relevant results.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setF1Score
```
public void setF1Score(Double f1Score)
```
    A measure of how accurate the recognizer results are for a specific entity type in 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 a specific entity type in 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.
  - getF1Score
```
public Double getF1Score()
```
    A measure of how accurate the recognizer results are for a specific entity type in 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 a specific entity type in 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 EntityTypesEvaluationMetrics withF1Score(Double f1Score)
```
    A measure of how accurate the recognizer results are for a specific entity type in 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 a specific entity type in 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:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public EntityTypesEvaluationMetrics clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

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Class EntityTypesEvaluationMetrics

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

EntityTypesEvaluationMetrics

Method Detail

setPrecision

getPrecision

withPrecision

setRecall

getRecall

withRecall

setF1Score

getF1Score

withF1Score

toString

equals

hashCode

clone

marshall