XPSTablesConfidenceMetricsEntry (Cloud Natural Language API v2-rev20250824-2.0.0)

java.lang.Object
- java.util.AbstractMap<String,Object>
- - com.google.api.client.util.GenericData
  - - com.google.api.client.json.GenericJson
    - - com.google.api.services.language.v2.model.XPSTablesConfidenceMetricsEntry

All Implemented Interfaces:

Cloneable, Map<String,Object>
```
public final class XPSTablesConfidenceMetricsEntry
extends com.google.api.client.json.GenericJson
```
Metrics for a single confidence threshold.
This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the Cloud Natural Language API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary
- Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
  com.google.api.client.util.GenericData.Flags
- Nested classes/interfaces inherited from class java.util.AbstractMap
  AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>
- Nested classes/interfaces inherited from interface java.util.Map
  Map.Entry<K,V>

Constructor Summary

Constructors
Constructor and Description

XPSTablesConfidenceMetricsEntry()

Constructors
Constructor and Description
`XPSTablesConfidenceMetricsEntry()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`XPSTablesConfidenceMetricsEntry`	`clone()`
`Double`	`getConfidenceThreshold()` The confidence threshold value used to compute the metrics.
`Double`	`getF1Score()` The harmonic mean of recall and precision.
`Long`	`getFalseNegativeCount()` False negative count.
`Long`	`getFalsePositiveCount()` False positive count.
`Double`	`getFalsePositiveRate()` FPR = #false positives / (#false positives + #true negatives)
`Double`	`getPrecision()` Precision = #true positives / (#true positives + #false positives).
`Double`	`getRecall()` Recall = #true positives / (#true positives + #false negatives).
`Long`	`getTrueNegativeCount()` True negative count.
`Long`	`getTruePositiveCount()` True positive count.
`Double`	`getTruePositiveRate()` TPR = #true positives / (#true positives + #false negatvies)
`XPSTablesConfidenceMetricsEntry`	`set(String fieldName, Object value)`
`XPSTablesConfidenceMetricsEntry`	`setConfidenceThreshold(Double confidenceThreshold)` The confidence threshold value used to compute the metrics.
`XPSTablesConfidenceMetricsEntry`	`setF1Score(Double f1Score)` The harmonic mean of recall and precision.
`XPSTablesConfidenceMetricsEntry`	`setFalseNegativeCount(Long falseNegativeCount)` False negative count.
`XPSTablesConfidenceMetricsEntry`	`setFalsePositiveCount(Long falsePositiveCount)` False positive count.
`XPSTablesConfidenceMetricsEntry`	`setFalsePositiveRate(Double falsePositiveRate)` FPR = #false positives / (#false positives + #true negatives)
`XPSTablesConfidenceMetricsEntry`	`setPrecision(Double precision)` Precision = #true positives / (#true positives + #false positives).
`XPSTablesConfidenceMetricsEntry`	`setRecall(Double recall)` Recall = #true positives / (#true positives + #false negatives).
`XPSTablesConfidenceMetricsEntry`	`setTrueNegativeCount(Long trueNegativeCount)` True negative count.
`XPSTablesConfidenceMetricsEntry`	`setTruePositiveCount(Long truePositiveCount)` True positive count.
`XPSTablesConfidenceMetricsEntry`	`setTruePositiveRate(Double truePositiveRate)` TPR = #true positives / (#true positives + #false negatvies)

Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData
entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, isEmpty, keySet, size, values

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

Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

- Constructor Detail
  - XPSTablesConfidenceMetricsEntry
```
public XPSTablesConfidenceMetricsEntry()
```
- Method Detail
  - getConfidenceThreshold
```
public Double getConfidenceThreshold()
```
    The confidence threshold value used to compute the metrics.
    
    Returns:
    
    value or null for none
  - setConfidenceThreshold
```
public XPSTablesConfidenceMetricsEntry setConfidenceThreshold(Double confidenceThreshold)
```
    The confidence threshold value used to compute the metrics.
    
    Parameters:
    
    confidenceThreshold - confidenceThreshold or null for none
  - getF1Score
```
public Double getF1Score()
```
    The harmonic mean of recall and precision. (2 * precision * recall) / (precision + recall)
    
    Returns:
    
    value or null for none
  - setF1Score
```
public XPSTablesConfidenceMetricsEntry setF1Score(Double f1Score)
```
    The harmonic mean of recall and precision. (2 * precision * recall) / (precision + recall)
    
    Parameters:
    
    f1Score - f1Score or null for none
  - getFalseNegativeCount
```
public Long getFalseNegativeCount()
```
    False negative count.
    
    Returns:
    
    value or null for none
  - setFalseNegativeCount
```
public XPSTablesConfidenceMetricsEntry setFalseNegativeCount(Long falseNegativeCount)
```
    False negative count.
    
    Parameters:
    
    falseNegativeCount - falseNegativeCount or null for none
  - getFalsePositiveCount
```
public Long getFalsePositiveCount()
```
    False positive count.
    
    Returns:
    
    value or null for none
  - setFalsePositiveCount
```
public XPSTablesConfidenceMetricsEntry setFalsePositiveCount(Long falsePositiveCount)
```
    False positive count.
    
    Parameters:
    
    falsePositiveCount - falsePositiveCount or null for none
  - getFalsePositiveRate
```
public Double getFalsePositiveRate()
```
    FPR = #false positives / (#false positives + #true negatives)
    
    Returns:
    
    value or null for none
  - setFalsePositiveRate
```
public XPSTablesConfidenceMetricsEntry setFalsePositiveRate(Double falsePositiveRate)
```
    FPR = #false positives / (#false positives + #true negatives)
    
    Parameters:
    
    falsePositiveRate - falsePositiveRate or null for none
  - getPrecision
```
public Double getPrecision()
```
    Precision = #true positives / (#true positives + #false positives).
    
    Returns:
    
    value or null for none
  - setPrecision
```
public XPSTablesConfidenceMetricsEntry setPrecision(Double precision)
```
    Precision = #true positives / (#true positives + #false positives).
    
    Parameters:
    
    precision - precision or null for none
  - getRecall
```
public Double getRecall()
```
    Recall = #true positives / (#true positives + #false negatives).
    
    Returns:
    
    value or null for none
  - setRecall
```
public XPSTablesConfidenceMetricsEntry setRecall(Double recall)
```
    Recall = #true positives / (#true positives + #false negatives).
    
    Parameters:
    
    recall - recall or null for none
  - getTrueNegativeCount
```
public Long getTrueNegativeCount()
```
    True negative count.
    
    Returns:
    
    value or null for none
  - setTrueNegativeCount
```
public XPSTablesConfidenceMetricsEntry setTrueNegativeCount(Long trueNegativeCount)
```
    True negative count.
    
    Parameters:
    
    trueNegativeCount - trueNegativeCount or null for none
  - getTruePositiveCount
```
public Long getTruePositiveCount()
```
    True positive count.
    
    Returns:
    
    value or null for none
  - setTruePositiveCount
```
public XPSTablesConfidenceMetricsEntry setTruePositiveCount(Long truePositiveCount)
```
    True positive count.
    
    Parameters:
    
    truePositiveCount - truePositiveCount or null for none
  - getTruePositiveRate
```
public Double getTruePositiveRate()
```
    TPR = #true positives / (#true positives + #false negatvies)
    
    Returns:
    
    value or null for none
  - setTruePositiveRate
```
public XPSTablesConfidenceMetricsEntry setTruePositiveRate(Double truePositiveRate)
```
    TPR = #true positives / (#true positives + #false negatvies)
    
    Parameters:
    
    truePositiveRate - truePositiveRate or null for none
  - set
```
public XPSTablesConfidenceMetricsEntry set(String fieldName,
                                           Object value)
```
    Overrides:
    
    set in class com.google.api.client.json.GenericJson
  - clone
```
public XPSTablesConfidenceMetricsEntry clone()
```
    Overrides:
    
    clone in class com.google.api.client.json.GenericJson

Class XPSTablesConfidenceMetricsEntry

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

Nested classes/interfaces inherited from class java.util.AbstractMap

Nested classes/interfaces inherited from interface java.util.Map

Constructor Summary

Method Summary

Methods inherited from class com.google.api.client.json.GenericJson

Methods inherited from class com.google.api.client.util.GenericData

Methods inherited from class java.util.AbstractMap

Methods inherited from class java.lang.Object

Methods inherited from interface java.util.Map

Constructor Detail

XPSTablesConfidenceMetricsEntry

Method Detail

getConfidenceThreshold

setConfidenceThreshold

getF1Score

setF1Score

getFalseNegativeCount

setFalseNegativeCount

getFalsePositiveCount

setFalsePositiveCount

getFalsePositiveRate

setFalsePositiveRate

getPrecision

setPrecision

getRecall

setRecall

getTrueNegativeCount

setTrueNegativeCount

getTruePositiveCount

setTruePositiveCount

getTruePositiveRate

setTruePositiveRate

set

clone