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public interface XraiAttributionOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getSmoothGradConfig()
public abstract 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 abstract 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 abstract 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. |
hasSmoothGradConfig()
public abstract 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. |