Package com.google.cloud.aiplatform.v1
Class SmoothGradConfig
java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.aiplatform.v1.SmoothGradConfig
- All Implemented Interfaces:
SmoothGradConfigOrBuilder,com.google.protobuf.Message,com.google.protobuf.MessageLite,com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder,Serializable
@Generated
public final class SmoothGradConfig
extends com.google.protobuf.GeneratedMessage
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.pdfProtobuf type
google.cloud.aiplatform.v1.SmoothGradConfig- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic final classConfig for SmoothGrad approximation of gradients.static enumNested classes/interfaces inherited from class com.google.protobuf.GeneratedMessage
com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT, BuilderT>>, com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.FieldAccessorTable, com.google.protobuf.GeneratedMessage.GeneratedExtension<ContainingT extends com.google.protobuf.Message, T extends Object>, com.google.protobuf.GeneratedMessage.UnusedPrivateParameter Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessage
com.google.protobuf.AbstractMessage.BuilderParentNested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessageLite.InternalOneOfEnum -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final intstatic final intstatic final intFields inherited from class com.google.protobuf.GeneratedMessage
alwaysUseFieldBuilders, loggedPre22TypeNames, unknownFieldsFields inherited from class com.google.protobuf.AbstractMessage
memoizedSizeFields inherited from class com.google.protobuf.AbstractMessageLite
memoizedHashCode -
Method Summary
Modifier and TypeMethodDescriptionbooleanstatic SmoothGradConfigstatic final com.google.protobuf.Descriptors.DescriptorThis is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but provides additional flexibility.This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but provides additional flexibility.floatThis is a single float value and will be used to add noise to all the features.intThe number of gradient samples to use for approximation.com.google.protobuf.Parser<SmoothGradConfig>intbooleanThis is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma], but provides additional flexibility.inthashCode()booleanThis is a single float value and will be used to add noise to all the features.protected com.google.protobuf.GeneratedMessage.FieldAccessorTablefinal booleanstatic SmoothGradConfig.Builderstatic SmoothGradConfig.BuildernewBuilder(SmoothGradConfig prototype) protected SmoothGradConfig.BuildernewBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) static SmoothGradConfigparseDelimitedFrom(InputStream input) static SmoothGradConfigparseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static SmoothGradConfigparseFrom(byte[] data) static SmoothGradConfigparseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static SmoothGradConfigparseFrom(com.google.protobuf.ByteString data) static SmoothGradConfigparseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static SmoothGradConfigparseFrom(com.google.protobuf.CodedInputStream input) static SmoothGradConfigparseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static SmoothGradConfigparseFrom(InputStream input) static SmoothGradConfigparseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static SmoothGradConfigparseFrom(ByteBuffer data) static SmoothGradConfigparseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static com.google.protobuf.Parser<SmoothGradConfig>parser()voidwriteTo(com.google.protobuf.CodedOutputStream output) Methods inherited from class com.google.protobuf.GeneratedMessage
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, newFileScopedGeneratedExtension, newInstance, newMessageScopedGeneratedExtension, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagMethods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashFields, toStringMethods inherited from class com.google.protobuf.AbstractMessageLite
addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToMethods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, waitMethods inherited from interface com.google.protobuf.MessageLite
toByteArray, toByteString, writeDelimitedTo, writeToMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Field Details
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NOISE_SIGMA_FIELD_NUMBER
public static final int NOISE_SIGMA_FIELD_NUMBER- See Also:
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FEATURE_NOISE_SIGMA_FIELD_NUMBER
public static final int FEATURE_NOISE_SIGMA_FIELD_NUMBER- See Also:
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NOISY_SAMPLE_COUNT_FIELD_NUMBER
public static final int NOISY_SAMPLE_COUNT_FIELD_NUMBER- See Also:
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Method Details
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() -
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessage
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getGradientNoiseSigmaCase
- Specified by:
getGradientNoiseSigmaCasein interfaceSmoothGradConfigOrBuilder
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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](https://developers.google.com/machine-learning/data-prep/transform/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][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead for each feature.
float noise_sigma = 1;- Specified by:
hasNoiseSigmain interfaceSmoothGradConfigOrBuilder- Returns:
- Whether the noiseSigma field is set.
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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](https://developers.google.com/machine-learning/data-prep/transform/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][google.cloud.aiplatform.v1.SmoothGradConfig.feature_noise_sigma] instead for each feature.
float noise_sigma = 1;- Specified by:
getNoiseSigmain interfaceSmoothGradConfigOrBuilder- Returns:
- The noiseSigma.
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hasFeatureNoiseSigma
public boolean hasFeatureNoiseSigma()This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.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][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all features.
.google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;- Specified by:
hasFeatureNoiseSigmain interfaceSmoothGradConfigOrBuilder- Returns:
- Whether the featureNoiseSigma field is set.
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getFeatureNoiseSigma
This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.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][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all features.
.google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;- Specified by:
getFeatureNoiseSigmain interfaceSmoothGradConfigOrBuilder- Returns:
- The featureNoiseSigma.
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getFeatureNoiseSigmaOrBuilder
This is similar to [noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.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][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] will be used for all features.
.google.cloud.aiplatform.v1.FeatureNoiseSigma feature_noise_sigma = 2;- Specified by:
getFeatureNoiseSigmaOrBuilderin interfaceSmoothGradConfigOrBuilder
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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;- Specified by:
getNoisySampleCountin interfaceSmoothGradConfigOrBuilder- Returns:
- The noisySampleCount.
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isInitialized
public final boolean isInitialized()- Specified by:
isInitializedin interfacecom.google.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classcom.google.protobuf.GeneratedMessage
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writeTo
- Specified by:
writeToin interfacecom.google.protobuf.MessageLite- Overrides:
writeToin classcom.google.protobuf.GeneratedMessage- Throws:
IOException
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getSerializedSize
public int getSerializedSize()- Specified by:
getSerializedSizein interfacecom.google.protobuf.MessageLite- Overrides:
getSerializedSizein classcom.google.protobuf.GeneratedMessage
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equals
- Specified by:
equalsin interfacecom.google.protobuf.Message- Overrides:
equalsin classcom.google.protobuf.AbstractMessage
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hashCode
public int hashCode()- Specified by:
hashCodein interfacecom.google.protobuf.Message- Overrides:
hashCodein classcom.google.protobuf.AbstractMessage
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parseFrom
public static SmoothGradConfig parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static SmoothGradConfig parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static SmoothGradConfig parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static SmoothGradConfig parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static SmoothGradConfig parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static SmoothGradConfig parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
- Throws:
IOException
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parseFrom
public static SmoothGradConfig parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseDelimitedFrom
- Throws:
IOException
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parseDelimitedFrom
public static SmoothGradConfig parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseFrom
public static SmoothGradConfig parseFrom(com.google.protobuf.CodedInputStream input) throws IOException - Throws:
IOException
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parseFrom
public static SmoothGradConfig parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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newBuilderForType
- Specified by:
newBuilderForTypein interfacecom.google.protobuf.Message- Specified by:
newBuilderForTypein interfacecom.google.protobuf.MessageLite
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newBuilder
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newBuilder
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toBuilder
- Specified by:
toBuilderin interfacecom.google.protobuf.Message- Specified by:
toBuilderin interfacecom.google.protobuf.MessageLite
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newBuilderForType
protected SmoothGradConfig.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) - Overrides:
newBuilderForTypein classcom.google.protobuf.AbstractMessage
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getDefaultInstance
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parser
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getParserForType
- Specified by:
getParserForTypein interfacecom.google.protobuf.Message- Specified by:
getParserForTypein interfacecom.google.protobuf.MessageLite- Overrides:
getParserForTypein classcom.google.protobuf.GeneratedMessage
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getDefaultInstanceForType
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
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