Class SmoothGradConfig (3.12.0)

Version 3.12.0

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public final class SmoothGradConfig extends GeneratedMessageV3 implements SmoothGradConfigOrBuilder

Config for SmoothGrad approximation of gradients. When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf

Protobuf type google.cloud.aiplatform.v1beta1.SmoothGradConfig

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > SmoothGradConfig

Implements

SmoothGradConfigOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

AbstractMessageLite.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

FEATURE_NOISE_SIGMA_FIELD_NUMBER

public static final int FEATURE_NOISE_SIGMA_FIELD_NUMBER

Field Value

Type	Description
int

NOISE_SIGMA_FIELD_NUMBER

public static final int NOISE_SIGMA_FIELD_NUMBER

Field Value

Type	Description
int

NOISY_SAMPLE_COUNT_FIELD_NUMBER

public static final int NOISY_SAMPLE_COUNT_FIELD_NUMBER

Field Value

Type	Description
int

Static Methods

getDefaultInstance()

public static SmoothGradConfig getDefaultInstance()

Returns

Type	Description
SmoothGradConfig

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

newBuilder()

public static SmoothGradConfig.Builder newBuilder()

Returns

Type	Description
SmoothGradConfig.Builder

newBuilder(SmoothGradConfig prototype)

public static SmoothGradConfig.Builder newBuilder(SmoothGradConfig prototype)

Parameter

Name	Description
prototype	SmoothGradConfig

Returns

Type	Description
SmoothGradConfig.Builder

parseDelimitedFrom(InputStream input)

public static SmoothGradConfig parseDelimitedFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static SmoothGradConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
IOException

parseFrom(byte[] data)

public static SmoothGradConfig parseFrom(byte[] data)

Parameter

Name	Description
data	byte[]

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static SmoothGradConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static SmoothGradConfig parseFrom(ByteString data)

Parameter

Name	Description
data	ByteString

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static SmoothGradConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static SmoothGradConfig parseFrom(CodedInputStream input)

Parameter

Name	Description
input	CodedInputStream

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static SmoothGradConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
IOException

parseFrom(InputStream input)

public static SmoothGradConfig parseFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static SmoothGradConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
IOException

parseFrom(ByteBuffer data)

public static SmoothGradConfig parseFrom(ByteBuffer data)

Parameter

Name	Description
data	ByteBuffer

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static SmoothGradConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
SmoothGradConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parser()

public static Parser<SmoothGradConfig> parser()

Returns

Type	Description
Parser<SmoothGradConfig>

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter

Name	Description
obj	Object

Returns

Type	Description
boolean

Overrides

AbstractMessage.equals(Object other)

getDefaultInstanceForType()

public SmoothGradConfig getDefaultInstanceForType()

Returns

Type	Description
SmoothGradConfig

getFeatureNoiseSigma()

public FeatureNoiseSigma getFeatureNoiseSigma()

This is similar to noise_sigma, but provides additional flexibility. A separate noise sigma can be provided for each feature, which is useful if their distributions are different. No noise is added to features that are not set. If this field is unset, noise_sigma will be used for all features.

.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;

Returns

Type	Description
FeatureNoiseSigma	The featureNoiseSigma.

getFeatureNoiseSigmaOrBuilder()

public FeatureNoiseSigmaOrBuilder getFeatureNoiseSigmaOrBuilder()

This is similar to noise_sigma, but provides additional flexibility. A separate noise sigma can be provided for each feature, which is useful if their distributions are different. No noise is added to features that are not set. If this field is unset, noise_sigma will be used for all features.

.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;

Returns

Type	Description
FeatureNoiseSigmaOrBuilder

getGradientNoiseSigmaCase()

public SmoothGradConfig.GradientNoiseSigmaCase getGradientNoiseSigmaCase()

Returns

Type	Description
SmoothGradConfig.GradientNoiseSigmaCase

getNoiseSigma()

public float getNoiseSigma()

This is a single float value and will be used to add noise to all the features. Use this field when all features are normalized to have the same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where features are normalized to have 0-mean and 1-variance. Learn more about normalization. For best results the recommended value is about 10% - 20% of the standard deviation of the input feature. Refer to section 3.2 of the SmoothGrad paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1. If the distribution is different per feature, set feature_noise_sigma instead for each feature.

float noise_sigma = 1;

Returns

Type	Description
float	The noiseSigma.

getNoisySampleCount()

public int getNoisySampleCount()

The number of gradient samples to use for approximation. The higher this number, the more accurate the gradient is, but the runtime complexity increases by this factor as well. Valid range of its value is [1, 50]. Defaults to 3.

int32 noisy_sample_count = 3;

Returns

Type	Description
int	The noisySampleCount.

getParserForType()

public Parser<SmoothGradConfig> getParserForType()

Returns

Type	Description
Parser<SmoothGradConfig>

Overrides

GeneratedMessageV3.getParserForType()

getSerializedSize()

public int getSerializedSize()

Returns

Type	Description
int

Overrides

GeneratedMessageV3.getSerializedSize()

getUnknownFields()

public final UnknownFieldSet getUnknownFields()

Returns

Type	Description
UnknownFieldSet

Overrides

GeneratedMessageV3.getUnknownFields()

hasFeatureNoiseSigma()

public boolean hasFeatureNoiseSigma()

This is similar to noise_sigma, but provides additional flexibility. A separate noise sigma can be provided for each feature, which is useful if their distributions are different. No noise is added to features that are not set. If this field is unset, noise_sigma will be used for all features.

.google.cloud.aiplatform.v1beta1.FeatureNoiseSigma feature_noise_sigma = 2;

Returns

Type	Description
boolean	Whether the featureNoiseSigma field is set.

hasNoiseSigma()

public boolean hasNoiseSigma()

This is a single float value and will be used to add noise to all the features. Use this field when all features are normalized to have the same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where features are normalized to have 0-mean and 1-variance. Learn more about normalization. For best results the recommended value is about 10% - 20% of the standard deviation of the input feature. Refer to section 3.2 of the SmoothGrad paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1. If the distribution is different per feature, set feature_noise_sigma instead for each feature.

float noise_sigma = 1;

Returns

Type	Description
boolean	Whether the noiseSigma field is set.

hashCode()

public int hashCode()

Returns

Type	Description
int

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public SmoothGradConfig.Builder newBuilderForType()

Returns

Type	Description
SmoothGradConfig.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected SmoothGradConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter

Name	Description
parent	BuilderParent

Returns

Type	Description
SmoothGradConfig.Builder

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter

Name	Description
unused	UnusedPrivateParameter

Returns

Type	Description
Object

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public SmoothGradConfig.Builder toBuilder()

Returns

Type	Description
SmoothGradConfig.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter

Name	Description
output	CodedOutputStream

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions

Type	Description
IOException