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public final class IntegratedGradientsAttribution extends GeneratedMessageV3 implements IntegratedGradientsAttributionOrBuilder
An attribution method that computes 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
Protobuf type google.cloud.aiplatform.v1.IntegratedGradientsAttribution
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > IntegratedGradientsAttributionImplements
IntegratedGradientsAttributionOrBuilderStatic Fields
BLUR_BASELINE_CONFIG_FIELD_NUMBER
public static final int BLUR_BASELINE_CONFIG_FIELD_NUMBER
Type | Description |
int |
SMOOTH_GRAD_CONFIG_FIELD_NUMBER
public static final int SMOOTH_GRAD_CONFIG_FIELD_NUMBER
Type | Description |
int |
STEP_COUNT_FIELD_NUMBER
public static final int STEP_COUNT_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static IntegratedGradientsAttribution getDefaultInstance()
Type | Description |
IntegratedGradientsAttribution |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static IntegratedGradientsAttribution.Builder newBuilder()
Type | Description |
IntegratedGradientsAttribution.Builder |
newBuilder(IntegratedGradientsAttribution prototype)
public static IntegratedGradientsAttribution.Builder newBuilder(IntegratedGradientsAttribution prototype)
Name | Description |
prototype | IntegratedGradientsAttribution |
Type | Description |
IntegratedGradientsAttribution.Builder |
parseDelimitedFrom(InputStream input)
public static IntegratedGradientsAttribution parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static IntegratedGradientsAttribution parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
IOException |
parseFrom(byte[] data)
public static IntegratedGradientsAttribution parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static IntegratedGradientsAttribution parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static IntegratedGradientsAttribution parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static IntegratedGradientsAttribution parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static IntegratedGradientsAttribution parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static IntegratedGradientsAttribution parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
IOException |
parseFrom(InputStream input)
public static IntegratedGradientsAttribution parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static IntegratedGradientsAttribution parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static IntegratedGradientsAttribution parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static IntegratedGradientsAttribution parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
IntegratedGradientsAttribution |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<IntegratedGradientsAttribution> parser()
Type | Description |
Parser<IntegratedGradientsAttribution> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getBlurBaselineConfig()
public BlurBaselineConfig getBlurBaselineConfig()
Config for IG with blur baseline. When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383
.google.cloud.aiplatform.v1.BlurBaselineConfig blur_baseline_config = 3;
Type | Description |
BlurBaselineConfig | The blurBaselineConfig. |
getBlurBaselineConfigOrBuilder()
public BlurBaselineConfigOrBuilder getBlurBaselineConfigOrBuilder()
Config for IG with blur baseline. When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383
.google.cloud.aiplatform.v1.BlurBaselineConfig blur_baseline_config = 3;
Type | Description |
BlurBaselineConfigOrBuilder |
getDefaultInstanceForType()
public IntegratedGradientsAttribution getDefaultInstanceForType()
Type | Description |
IntegratedGradientsAttribution |
getParserForType()
public Parser<IntegratedGradientsAttribution> getParserForType()
Type | Description |
Parser<IntegratedGradientsAttribution> |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getSmoothGradConfig()
public SmoothGradConfig getSmoothGradConfig()
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
.google.cloud.aiplatform.v1.SmoothGradConfig smooth_grad_config = 2;
Type | Description |
SmoothGradConfig | The smoothGradConfig. |
getSmoothGradConfigOrBuilder()
public SmoothGradConfigOrBuilder getSmoothGradConfigOrBuilder()
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
.google.cloud.aiplatform.v1.SmoothGradConfig smooth_grad_config = 2;
Type | Description |
SmoothGradConfigOrBuilder |
getStepCount()
public int getStepCount()
Required. The 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 within the desired error range. Valid range of its value is [1, 100], inclusively.
int32 step_count = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
int | The stepCount. |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
hasBlurBaselineConfig()
public boolean hasBlurBaselineConfig()
Config for IG with blur baseline. When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383
.google.cloud.aiplatform.v1.BlurBaselineConfig blur_baseline_config = 3;
Type | Description |
boolean | Whether the blurBaselineConfig field is set. |
hasSmoothGradConfig()
public boolean hasSmoothGradConfig()
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
.google.cloud.aiplatform.v1.SmoothGradConfig smooth_grad_config = 2;
Type | Description |
boolean | Whether the smoothGradConfig field is set. |
hashCode()
public int hashCode()
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
newBuilderForType()
public IntegratedGradientsAttribution.Builder newBuilderForType()
Type | Description |
IntegratedGradientsAttribution.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected IntegratedGradientsAttribution.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
IntegratedGradientsAttribution.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public IntegratedGradientsAttribution.Builder toBuilder()
Type | Description |
IntegratedGradientsAttribution.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |