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public final class XraiAttribution extends GeneratedMessageV3 implements XraiAttributionOrBuilder
An explanation method that redistributes Integrated Gradients attributions 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 Supported only by image Models.
Protobuf type google.cloud.aiplatform.v1.XraiAttribution
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > XraiAttributionImplements
XraiAttributionOrBuilderStatic 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 XraiAttribution getDefaultInstance()
Type | Description |
XraiAttribution |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static XraiAttribution.Builder newBuilder()
Type | Description |
XraiAttribution.Builder |
newBuilder(XraiAttribution prototype)
public static XraiAttribution.Builder newBuilder(XraiAttribution prototype)
Name | Description |
prototype | XraiAttribution |
Type | Description |
XraiAttribution.Builder |
parseDelimitedFrom(InputStream input)
public static XraiAttribution parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
XraiAttribution |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static XraiAttribution parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
XraiAttribution |
Type | Description |
IOException |
parseFrom(byte[] data)
public static XraiAttribution parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
XraiAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static XraiAttribution parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
XraiAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static XraiAttribution parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
XraiAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static XraiAttribution parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
XraiAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static XraiAttribution parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
XraiAttribution |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static XraiAttribution parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
XraiAttribution |
Type | Description |
IOException |
parseFrom(InputStream input)
public static XraiAttribution parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
XraiAttribution |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static XraiAttribution parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
XraiAttribution |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static XraiAttribution parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
XraiAttribution |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static XraiAttribution parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
XraiAttribution |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<XraiAttribution> parser()
Type | Description |
Parser<XraiAttribution> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getBlurBaselineConfig()
public BlurBaselineConfig getBlurBaselineConfig()
Config for XRAI 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 XRAI 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 XraiAttribution getDefaultInstanceForType()
Type | Description |
XraiAttribution |
getParserForType()
public Parser<XraiAttribution> getParserForType()
Type | Description |
Parser<XraiAttribution> |
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 met 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 XRAI 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 XraiAttribution.Builder newBuilderForType()
Type | Description |
XraiAttribution.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected XraiAttribution.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
XraiAttribution.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public XraiAttribution.Builder toBuilder()
Type | Description |
XraiAttribution.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |