public static final class XraiAttribution.Builder extends GeneratedMessageV3.Builder<XraiAttribution.Builder> 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.v1beta1.XraiAttribution
Methods
public XraiAttribution.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public XraiAttribution build()
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public XraiAttribution buildPartial()
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public XraiAttribution.Builder clear()
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public XraiAttribution.Builder clearField(Descriptors.FieldDescriptor field)
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public XraiAttribution.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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public XraiAttribution.Builder clearSmoothGradConfig()
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.v1beta1.SmoothGradConfig smooth_grad_config = 2;
public XraiAttribution.Builder clearStepCount()
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];
public XraiAttribution.Builder clone()
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public XraiAttribution getDefaultInstanceForType()
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public static final Descriptors.Descriptor getDescriptor()
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public Descriptors.Descriptor getDescriptorForType()
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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.v1beta1.SmoothGradConfig smooth_grad_config = 2;
public SmoothGradConfig.Builder getSmoothGradConfigBuilder()
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.v1beta1.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.v1beta1.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 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.v1beta1.SmoothGradConfig smooth_grad_config = 2;
| Type | Description |
| boolean | Whether the smoothGradConfig field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public XraiAttribution.Builder mergeFrom(XraiAttribution other)
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public XraiAttribution.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public XraiAttribution.Builder mergeFrom(Message other)
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public XraiAttribution.Builder mergeSmoothGradConfig(SmoothGradConfig value)
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.v1beta1.SmoothGradConfig smooth_grad_config = 2;
public final XraiAttribution.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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public XraiAttribution.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public XraiAttribution.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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public XraiAttribution.Builder setSmoothGradConfig(SmoothGradConfig value)
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.v1beta1.SmoothGradConfig smooth_grad_config = 2;
public XraiAttribution.Builder setSmoothGradConfig(SmoothGradConfig.Builder builderForValue)
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.v1beta1.SmoothGradConfig smooth_grad_config = 2;
public XraiAttribution.Builder setStepCount(int value)
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];
| Name | Description |
| value | int
The stepCount to set.
|
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public final XraiAttribution.Builder setUnknownFields(UnknownFieldSet unknownFields)
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