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SmoothGradConfig
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
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
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes
noise_sigma
float
This is a single float value and will be used to add noise to all the features. Use this field when all features are normalized to have the same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where features are normalized to have 0-mean and 1-variance. Learn more about
normalization
__.
For best results the recommended value is about 10% - 20% of
the standard deviation of the input feature. Refer to
section 3.2 of the SmoothGrad paper:
https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
If the distribution is different per feature, set feature_noise_sigma
instead for each feature.
This field is a member of oneof
_ GradientNoiseSigma
.feature_noise_sigma
google.cloud.aiplatform_v1beta1.types.FeatureNoiseSigma
This is similar to noise_sigma , but provides additional flexibility. A separate noise sigma can be provided for each feature, which is useful if their distributions are different. No noise is added to features that are not set. If this field is unset, noise_sigma will be used for all features. This field is a member of
oneof
_ GradientNoiseSigma
.noisy_sample_count
int
The number of gradient samples to use for approximation. The higher this number, the more accurate the gradient is, but the runtime complexity increases by this factor as well. Valid range of its value is [1, 50]. Defaults to 3.
Methods
SmoothGradConfig
SmoothGradConfig
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
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
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
