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
Fields
public static final int BLUR_BASELINE_CONFIG_FIELD_NUMBER
Field Value
public static final int SMOOTH_GRAD_CONFIG_FIELD_NUMBER
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public static final int STEP_COUNT_FIELD_NUMBER
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Methods
public boolean equals(Object obj)
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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;
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;
public static XraiAttribution getDefaultInstance()
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public XraiAttribution getDefaultInstanceForType()
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public static final Descriptors.Descriptor getDescriptor()
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public Parser<XraiAttribution> getParserForType()
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public int getSerializedSize()
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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;
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;
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.
|
public final UnknownFieldSet getUnknownFields()
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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.
|
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.
|
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public static XraiAttribution.Builder newBuilder()
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public static XraiAttribution.Builder newBuilder(XraiAttribution prototype)
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public XraiAttribution.Builder newBuilderForType()
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protected XraiAttribution.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public static XraiAttribution parseDelimitedFrom(InputStream input)
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public static XraiAttribution parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static XraiAttribution parseFrom(byte[] data)
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| Name | Description |
| data | byte[]
|
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public static XraiAttribution parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static XraiAttribution parseFrom(ByteString data)
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public static XraiAttribution parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static XraiAttribution parseFrom(CodedInputStream input)
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public static XraiAttribution parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static XraiAttribution parseFrom(InputStream input)
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public static XraiAttribution parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static XraiAttribution parseFrom(ByteBuffer data)
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public static XraiAttribution parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<XraiAttribution> parser()
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public XraiAttribution.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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Overrides
Exceptions
