Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class NoiseSigmaForFeature.
Noise sigma for a single feature.
Generated from protobuf message google.cloud.aiplatform.v1.FeatureNoiseSigma.NoiseSigmaForFeature
Methods
__construct
Constructor.
Parameters | |
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Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ name |
string
The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs. |
↳ sigma |
float
This represents the standard deviation of the Gaussian kernel that will be used to add noise to the feature prior to computing gradients. Similar to noise_sigma but represents the noise added to the current feature. Defaults to 0.1. |
getName
The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.
Generated from protobuf field string name = 1;
Returns | |
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Type | Description |
string |
setName
The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.
Generated from protobuf field string name = 1;
Parameter | |
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Name | Description |
var |
string
|
Returns | |
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Type | Description |
$this |
getSigma
This represents the standard deviation of the Gaussian kernel that will be used to add noise to the feature prior to computing gradients. Similar to noise_sigma but represents the noise added to the current feature. Defaults to 0.1.
Generated from protobuf field float sigma = 2;
Returns | |
---|---|
Type | Description |
float |
setSigma
This represents the standard deviation of the Gaussian kernel that will be used to add noise to the feature prior to computing gradients. Similar to noise_sigma but represents the noise added to the current feature. Defaults to 0.1.
Generated from protobuf field float sigma = 2;
Parameter | |
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Name | Description |
var |
float
|
Returns | |
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Type | Description |
$this |