com.google.cloud.aiplatform.v1beta1

Interface IntegratedGradientsAttributionOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

IntegratedGradientsAttribution, IntegratedGradientsAttribution.Builder

public interface IntegratedGradientsAttributionOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
SmoothGradConfig	getSmoothGradConfig() Config for SmoothGrad approximation of gradients.
SmoothGradConfigOrBuilder	getSmoothGradConfigOrBuilder() Config for SmoothGrad approximation of gradients.
int	getStepCount() Required.
boolean	hasSmoothGradConfig() Config for SmoothGrad approximation of gradients.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getStepCount

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];

Returns:

The stepCount.

hasSmoothGradConfig

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;

Returns:

Whether the smoothGradConfig field is set.

getSmoothGradConfig

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;

Returns:

The smoothGradConfig.

getSmoothGradConfigOrBuilder

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;