com.google.api.services.language.v2.model

Class XPSSpeechEvaluationMetricsSubModelEvaluationMetric

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.XPSSpeechEvaluationMetricsSubModelEvaluationMetric

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class XPSSpeechEvaluationMetricsSubModelEvaluationMetric
extends com.google.api.client.json.GenericJson

Model definition for XPSSpeechEvaluationMetricsSubModelEvaluationMetric.

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
XPSSpeechEvaluationMetricsSubModelEvaluationMetric()

Method Summary

Modifier and Type	Method and Description
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	clone()
String	getBiasingModelType() Type of the biasing model.
Boolean	getIsEnhancedModel() If true then it means we have an enhanced version of the biasing models.
Integer	getNumDeletions()
Integer	getNumInsertions()
Integer	getNumSubstitutions()
Integer	getNumUtterances() Number of utterances used in the wer computation.
Integer	getNumWords() Number of words over which the word error rate was computed.
Double	getSentenceAccuracy() Below fields are used for debugging purposes
Double	getWer() Word error rate (standard error metric used for speech recognition).
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	set(String fieldName, Object value)
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setBiasingModelType(String biasingModelType) Type of the biasing model.
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setIsEnhancedModel(Boolean isEnhancedModel) If true then it means we have an enhanced version of the biasing models.
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setNumDeletions(Integer numDeletions)
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setNumInsertions(Integer numInsertions)
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setNumSubstitutions(Integer numSubstitutions)
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setNumUtterances(Integer numUtterances) Number of utterances used in the wer computation.
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setNumWords(Integer numWords) Number of words over which the word error rate was computed.
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setSentenceAccuracy(Double sentenceAccuracy) Below fields are used for debugging purposes
XPSSpeechEvaluationMetricsSubModelEvaluationMetric	setWer(Double wer) Word error rate (standard error metric used for speech recognition).

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

XPSSpeechEvaluationMetricsSubModelEvaluationMetric

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric()

Method Detail

getBiasingModelType

public String getBiasingModelType()

Type of the biasing model.

Returns:

value or null for none

setBiasingModelType

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setBiasingModelType(String biasingModelType)

Type of the biasing model.

Parameters:

biasingModelType - biasingModelType or null for none

getIsEnhancedModel

public Boolean getIsEnhancedModel()

If true then it means we have an enhanced version of the biasing models.

Returns:

value or null for none

setIsEnhancedModel

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setIsEnhancedModel(Boolean isEnhancedModel)

If true then it means we have an enhanced version of the biasing models.

Parameters:

isEnhancedModel - isEnhancedModel or null for none

getNumDeletions

public Integer getNumDeletions()

Returns:

value or null for none

setNumDeletions

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setNumDeletions(Integer numDeletions)

Parameters:

numDeletions - numDeletions or null for none

getNumInsertions

public Integer getNumInsertions()

Returns:

value or null for none

setNumInsertions

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setNumInsertions(Integer numInsertions)

Parameters:

numInsertions - numInsertions or null for none

getNumSubstitutions

public Integer getNumSubstitutions()

Returns:

value or null for none

setNumSubstitutions

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setNumSubstitutions(Integer numSubstitutions)

Parameters:

numSubstitutions - numSubstitutions or null for none

getNumUtterances

public Integer getNumUtterances()

Number of utterances used in the wer computation.

Returns:

value or null for none

setNumUtterances

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setNumUtterances(Integer numUtterances)

Number of utterances used in the wer computation.

Parameters:

numUtterances - numUtterances or null for none

getNumWords

public Integer getNumWords()

Number of words over which the word error rate was computed.

Returns:

value or null for none

setNumWords

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setNumWords(Integer numWords)

Number of words over which the word error rate was computed.

Parameters:

numWords - numWords or null for none

getSentenceAccuracy

public Double getSentenceAccuracy()

Below fields are used for debugging purposes

Returns:

value or null for none

setSentenceAccuracy

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setSentenceAccuracy(Double sentenceAccuracy)

Below fields are used for debugging purposes

Parameters:

sentenceAccuracy - sentenceAccuracy or null for none

getWer

public Double getWer()

Word error rate (standard error metric used for speech recognition).

Returns:

value or null for none

setWer

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric setWer(Double wer)

Word error rate (standard error metric used for speech recognition).

Parameters:

wer - wer or null for none

set

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric set(String fieldName,
                                                              Object value)

Overrides:

set in class com.google.api.client.json.GenericJson

clone

public XPSSpeechEvaluationMetricsSubModelEvaluationMetric clone()

Overrides:

clone in class com.google.api.client.json.GenericJson