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

Class XPSTextExtractionEvaluationMetrics

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.XPSTextExtractionEvaluationMetrics

All Implemented Interfaces:

Cloneable, Map<String,Object>

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

Model definition for XPSTextExtractionEvaluationMetrics.

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
XPSTextExtractionEvaluationMetrics()

Method Summary

Modifier and Type	Method and Description
XPSTextExtractionEvaluationMetrics	clone()
XPSConfidenceMetricsEntry	getBestF1ConfidenceMetrics() Values are at the highest F1 score on the precision-recall curve.
List<XPSConfidenceMetricsEntry>	getConfidenceMetricsEntries() If the enclosing EvaluationMetrics.label is empty, confidence_metrics_entries is an evaluation of the entire model across all labels.
XPSConfusionMatrix	getConfusionMatrix() Confusion matrix of the model, at the default confidence threshold (0.0).
Map<String,XPSConfidenceMetricsEntry>	getPerLabelConfidenceMetrics() Only recall, precision, and f1_score will be set.
XPSTextExtractionEvaluationMetrics	set(String fieldName, Object value)
XPSTextExtractionEvaluationMetrics	setBestF1ConfidenceMetrics(XPSConfidenceMetricsEntry bestF1ConfidenceMetrics) Values are at the highest F1 score on the precision-recall curve.
XPSTextExtractionEvaluationMetrics	setConfidenceMetricsEntries(List<XPSConfidenceMetricsEntry> confidenceMetricsEntries) If the enclosing EvaluationMetrics.label is empty, confidence_metrics_entries is an evaluation of the entire model across all labels.
XPSTextExtractionEvaluationMetrics	setConfusionMatrix(XPSConfusionMatrix confusionMatrix) Confusion matrix of the model, at the default confidence threshold (0.0).
XPSTextExtractionEvaluationMetrics	setPerLabelConfidenceMetrics(Map<String,XPSConfidenceMetricsEntry> perLabelConfidenceMetrics) Only recall, precision, and f1_score will be set.

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

XPSTextExtractionEvaluationMetrics

public XPSTextExtractionEvaluationMetrics()

Method Detail

getBestF1ConfidenceMetrics

public XPSConfidenceMetricsEntry getBestF1ConfidenceMetrics()

Values are at the highest F1 score on the precision-recall curve. Only confidence_threshold, recall, precision, and f1_score will be set.

Returns:

value or null for none

setBestF1ConfidenceMetrics

public XPSTextExtractionEvaluationMetrics setBestF1ConfidenceMetrics(XPSConfidenceMetricsEntry bestF1ConfidenceMetrics)

Values are at the highest F1 score on the precision-recall curve. Only confidence_threshold, recall, precision, and f1_score will be set.

Parameters:

bestF1ConfidenceMetrics - bestF1ConfidenceMetrics or null for none

getConfidenceMetricsEntries

public List<XPSConfidenceMetricsEntry> getConfidenceMetricsEntries()

If the enclosing EvaluationMetrics.label is empty, confidence_metrics_entries is an evaluation of the entire model across all labels. If the enclosing EvaluationMetrics.label is set, confidence_metrics_entries applies to that label.

Returns:

value or null for none

setConfidenceMetricsEntries

public XPSTextExtractionEvaluationMetrics setConfidenceMetricsEntries(List<XPSConfidenceMetricsEntry> confidenceMetricsEntries)

If the enclosing EvaluationMetrics.label is empty, confidence_metrics_entries is an evaluation of the entire model across all labels. If the enclosing EvaluationMetrics.label is set, confidence_metrics_entries applies to that label.

Parameters:

confidenceMetricsEntries - confidenceMetricsEntries or null for none

getConfusionMatrix

public XPSConfusionMatrix getConfusionMatrix()

Confusion matrix of the model, at the default confidence threshold (0.0). Only set for whole- model evaluation, not for evaluation per label.

Returns:

value or null for none

setConfusionMatrix

public XPSTextExtractionEvaluationMetrics setConfusionMatrix(XPSConfusionMatrix confusionMatrix)

Confusion matrix of the model, at the default confidence threshold (0.0). Only set for whole- model evaluation, not for evaluation per label.

Parameters:

confusionMatrix - confusionMatrix or null for none

getPerLabelConfidenceMetrics

public Map<String,XPSConfidenceMetricsEntry> getPerLabelConfidenceMetrics()

Only recall, precision, and f1_score will be set.

Returns:

value or null for none

setPerLabelConfidenceMetrics

public XPSTextExtractionEvaluationMetrics setPerLabelConfidenceMetrics(Map<String,XPSConfidenceMetricsEntry> perLabelConfidenceMetrics)

Only recall, precision, and f1_score will be set.

Parameters:

perLabelConfidenceMetrics - perLabelConfidenceMetrics or null for none

set

public XPSTextExtractionEvaluationMetrics set(String fieldName,
                                              Object value)

Overrides:

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

clone

public XPSTextExtractionEvaluationMetrics clone()

Overrides:

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