com.google.api.services.ml.v1.model

Class GoogleCloudMlV1IntegratedGradientsAttribution

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.ml.v1.model.GoogleCloudMlV1IntegratedGradientsAttribution

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class GoogleCloudMlV1IntegratedGradientsAttribution
extends GenericJson

Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

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 AI Platform Training & Prediction 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

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
GoogleCloudMlV1IntegratedGradientsAttribution()

Method Summary

Modifier and Type	Method and Description
GoogleCloudMlV1IntegratedGradientsAttribution	clone()
Integer	getNumIntegralSteps() Number of steps for approximating the path integral.
GoogleCloudMlV1IntegratedGradientsAttribution	set(String fieldName, Object value)
GoogleCloudMlV1IntegratedGradientsAttribution	setNumIntegralSteps(Integer numIntegralSteps) Number of steps for approximating the path integral.

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

GoogleCloudMlV1IntegratedGradientsAttribution

public GoogleCloudMlV1IntegratedGradientsAttribution()

Method Detail

getNumIntegralSteps

public Integer getNumIntegralSteps()

Number of steps for approximating the path integral. A good value to start is 50 and gradually increase until the sum to diff property is met within the desired error range.

Returns:

value or null for none

setNumIntegralSteps

public GoogleCloudMlV1IntegratedGradientsAttribution setNumIntegralSteps(Integer numIntegralSteps)

Number of steps for approximating the path integral. A good value to start is 50 and gradually increase until the sum to diff property is met within the desired error range.

Parameters:

numIntegralSteps - numIntegralSteps or null for none

set

public GoogleCloudMlV1IntegratedGradientsAttribution set(String fieldName,
                                                         Object value)

Overrides:

set in class GenericJson

clone

public GoogleCloudMlV1IntegratedGradientsAttribution clone()

Overrides:

clone in class GenericJson