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

Class XPSClassificationEvaluationMetrics

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.XPSClassificationEvaluationMetrics

All Implemented Interfaces:

Cloneable, Map<String,Object>

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

Model evaluation metrics for classification problems. It can be used for image and video classification. Next tag: 9.

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
XPSClassificationEvaluationMetrics()

Method Summary

Modifier and Type	Method and Description
XPSClassificationEvaluationMetrics	clone()
Float	getAuPrc() The Area under precision recall curve metric.
Float	getAuRoc() The Area Under Receiver Operating Characteristic curve metric.
Float	getBaseAuPrc() The Area under precision recall curve metric based on priors.
List<XPSConfidenceMetricsEntry>	getConfidenceMetricsEntries() Metrics that have confidence thresholds.
XPSConfusionMatrix	getConfusionMatrix() Confusion matrix of the evaluation.
Integer	getEvaluatedExamplesCount() The number of examples used for model evaluation.
Float	getLogLoss() The Log Loss metric.
XPSClassificationEvaluationMetrics	set(String fieldName, Object value)
XPSClassificationEvaluationMetrics	setAuPrc(Float auPrc) The Area under precision recall curve metric.
XPSClassificationEvaluationMetrics	setAuRoc(Float auRoc) The Area Under Receiver Operating Characteristic curve metric.
XPSClassificationEvaluationMetrics	setBaseAuPrc(Float baseAuPrc) The Area under precision recall curve metric based on priors.
XPSClassificationEvaluationMetrics	setConfidenceMetricsEntries(List<XPSConfidenceMetricsEntry> confidenceMetricsEntries) Metrics that have confidence thresholds.
XPSClassificationEvaluationMetrics	setConfusionMatrix(XPSConfusionMatrix confusionMatrix) Confusion matrix of the evaluation.
XPSClassificationEvaluationMetrics	setEvaluatedExamplesCount(Integer evaluatedExamplesCount) The number of examples used for model evaluation.
XPSClassificationEvaluationMetrics	setLogLoss(Float logLoss) The Log Loss metric.

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

XPSClassificationEvaluationMetrics

public XPSClassificationEvaluationMetrics()

Method Detail

getAuPrc

public Float getAuPrc()

The Area under precision recall curve metric.

Returns:

value or null for none

setAuPrc

public XPSClassificationEvaluationMetrics setAuPrc(Float auPrc)

The Area under precision recall curve metric.

Parameters:

auPrc - auPrc or null for none

getAuRoc

public Float getAuRoc()

The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.

Returns:

value or null for none

setAuRoc

public XPSClassificationEvaluationMetrics setAuRoc(Float auRoc)

The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.

Parameters:

auRoc - auRoc or null for none

getBaseAuPrc

public Float getBaseAuPrc()

The Area under precision recall curve metric based on priors.

Returns:

value or null for none

setBaseAuPrc

public XPSClassificationEvaluationMetrics setBaseAuPrc(Float baseAuPrc)

The Area under precision recall curve metric based on priors.

Parameters:

baseAuPrc - baseAuPrc or null for none

getConfidenceMetricsEntries

public List<XPSConfidenceMetricsEntry> getConfidenceMetricsEntries()

Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

Returns:

value or null for none

setConfidenceMetricsEntries

public XPSClassificationEvaluationMetrics setConfidenceMetricsEntries(List<XPSConfidenceMetricsEntry> confidenceMetricsEntries)

Metrics that have confidence thresholds. Precision-recall curve can be derived from it.

Parameters:

confidenceMetricsEntries - confidenceMetricsEntries or null for none

getConfusionMatrix

public XPSConfusionMatrix getConfusionMatrix()

Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of annotation specs is no more than 10. Only set for model level evaluation, not for evaluation per label.

Returns:

value or null for none

setConfusionMatrix

public XPSClassificationEvaluationMetrics setConfusionMatrix(XPSConfusionMatrix confusionMatrix)

Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of annotation specs is no more than 10. Only set for model level evaluation, not for evaluation per label.

Parameters:

confusionMatrix - confusionMatrix or null for none

getEvaluatedExamplesCount

public Integer getEvaluatedExamplesCount()

The number of examples used for model evaluation.

Returns:

value or null for none

setEvaluatedExamplesCount

public XPSClassificationEvaluationMetrics setEvaluatedExamplesCount(Integer evaluatedExamplesCount)

The number of examples used for model evaluation.

Parameters:

evaluatedExamplesCount - evaluatedExamplesCount or null for none

getLogLoss

public Float getLogLoss()

The Log Loss metric.

Returns:

value or null for none

setLogLoss

public XPSClassificationEvaluationMetrics setLogLoss(Float logLoss)

The Log Loss metric.

Parameters:

logLoss - logLoss or null for none

set

public XPSClassificationEvaluationMetrics set(String fieldName,
                                              Object value)

Overrides:

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

clone

public XPSClassificationEvaluationMetrics clone()

Overrides:

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