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

Class XPSTablesClassificationMetricsCurveMetrics

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.XPSTablesClassificationMetricsCurveMetrics

All Implemented Interfaces:

Cloneable, Map<String,Object>

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

Metrics curve data point for a single value.

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
XPSTablesClassificationMetricsCurveMetrics()

Method Summary

Modifier and Type	Method and Description
XPSTablesClassificationMetricsCurveMetrics	clone()
Double	getAucPr() The area under the precision-recall curve.
Double	getAucRoc() The area under receiver operating characteristic curve.
List<XPSTablesConfidenceMetricsEntry>	getConfidenceMetricsEntries() Metrics that have confidence thresholds.
Double	getLogLoss() The Log loss metric.
Integer	getPositionThreshold() The position threshold value used to compute the metrics.
String	getValue() The CATEGORY row value (for ARRAY unnested) the curve metrics are for.
XPSTablesClassificationMetricsCurveMetrics	set(String fieldName, Object value)
XPSTablesClassificationMetricsCurveMetrics	setAucPr(Double aucPr) The area under the precision-recall curve.
XPSTablesClassificationMetricsCurveMetrics	setAucRoc(Double aucRoc) The area under receiver operating characteristic curve.
XPSTablesClassificationMetricsCurveMetrics	setConfidenceMetricsEntries(List<XPSTablesConfidenceMetricsEntry> confidenceMetricsEntries) Metrics that have confidence thresholds.
XPSTablesClassificationMetricsCurveMetrics	setLogLoss(Double logLoss) The Log loss metric.
XPSTablesClassificationMetricsCurveMetrics	setPositionThreshold(Integer positionThreshold) The position threshold value used to compute the metrics.
XPSTablesClassificationMetricsCurveMetrics	setValue(String value) The CATEGORY row value (for ARRAY unnested) the curve metrics are for.

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

XPSTablesClassificationMetricsCurveMetrics

public XPSTablesClassificationMetricsCurveMetrics()

Method Detail

getAucPr

public Double getAucPr()

The area under the precision-recall curve.

Returns:

value or null for none

setAucPr

public XPSTablesClassificationMetricsCurveMetrics setAucPr(Double aucPr)

The area under the precision-recall curve.

Parameters:

aucPr - aucPr or null for none

getAucRoc

public Double getAucRoc()

The area under receiver operating characteristic curve.

Returns:

value or null for none

setAucRoc

public XPSTablesClassificationMetricsCurveMetrics setAucRoc(Double aucRoc)

The area under receiver operating characteristic curve.

Parameters:

aucRoc - aucRoc or null for none

getConfidenceMetricsEntries

public List<XPSTablesConfidenceMetricsEntry> getConfidenceMetricsEntries()

Metrics that have confidence thresholds. Precision-recall curve and ROC curve can be derived from them.

Returns:

value or null for none

setConfidenceMetricsEntries

public XPSTablesClassificationMetricsCurveMetrics setConfidenceMetricsEntries(List<XPSTablesConfidenceMetricsEntry> confidenceMetricsEntries)

Metrics that have confidence thresholds. Precision-recall curve and ROC curve can be derived from them.

Parameters:

confidenceMetricsEntries - confidenceMetricsEntries or null for none

getLogLoss

public Double getLogLoss()

The Log loss metric.

Returns:

value or null for none

setLogLoss

public XPSTablesClassificationMetricsCurveMetrics setLogLoss(Double logLoss)

The Log loss metric.

Parameters:

logLoss - logLoss or null for none

getPositionThreshold

public Integer getPositionThreshold()

The position threshold value used to compute the metrics.

Returns:

value or null for none

setPositionThreshold

public XPSTablesClassificationMetricsCurveMetrics setPositionThreshold(Integer positionThreshold)

The position threshold value used to compute the metrics.

Parameters:

positionThreshold - positionThreshold or null for none

getValue

public String getValue()

The CATEGORY row value (for ARRAY unnested) the curve metrics are for.

Returns:

value or null for none

setValue

public XPSTablesClassificationMetricsCurveMetrics setValue(String value)

The CATEGORY row value (for ARRAY unnested) the curve metrics are for.

Parameters:

value - value or null for none

set

public XPSTablesClassificationMetricsCurveMetrics set(String fieldName,
                                                      Object value)

Overrides:

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

clone

public XPSTablesClassificationMetricsCurveMetrics clone()

Overrides:

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