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

Class XPSResponseExplanationParameters

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.XPSResponseExplanationParameters

All Implemented Interfaces:

Cloneable, Map<String,Object>

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

Model definition for XPSResponseExplanationParameters.

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
XPSResponseExplanationParameters()

Method Summary

Modifier and Type	Method and Description
XPSResponseExplanationParameters	clone()
XPSIntegratedGradientsAttribution	getIntegratedGradientsAttribution() An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.
XPSXraiAttribution	getXraiAttribution() An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.
XPSResponseExplanationParameters	set(String fieldName, Object value)
XPSResponseExplanationParameters	setIntegratedGradientsAttribution(XPSIntegratedGradientsAttribution integratedGradientsAttribution) An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.
XPSResponseExplanationParameters	setXraiAttribution(XPSXraiAttribution xraiAttribution) An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.

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

XPSResponseExplanationParameters

public XPSResponseExplanationParameters()

Method Detail

getIntegratedGradientsAttribution

public XPSIntegratedGradientsAttribution getIntegratedGradientsAttribution()

An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

Returns:

value or null for none

setIntegratedGradientsAttribution

public XPSResponseExplanationParameters setIntegratedGradientsAttribution(XPSIntegratedGradientsAttribution integratedGradientsAttribution)

An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

Parameters:

integratedGradientsAttribution - integratedGradientsAttribution or null for none

getXraiAttribution

public XPSXraiAttribution getXraiAttribution()

An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825 XRAI currently performs better on natural images, like a picture of a house or an animal. If the images are taken in artificial environments, like a lab or manufacturing line, or from diagnostic equipment, like x-rays or quality-control cameras, use Integrated Gradients instead.

Returns:

value or null for none

setXraiAttribution

public XPSResponseExplanationParameters setXraiAttribution(XPSXraiAttribution xraiAttribution)

An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825 XRAI currently performs better on natural images, like a picture of a house or an animal. If the images are taken in artificial environments, like a lab or manufacturing line, or from diagnostic equipment, like x-rays or quality-control cameras, use Integrated Gradients instead.

Parameters:

xraiAttribution - xraiAttribution or null for none

set

public XPSResponseExplanationParameters set(String fieldName,
                                            Object value)

Overrides:

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

clone

public XPSResponseExplanationParameters clone()

Overrides:

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