Google Cloud Ai Platform V1 Client - Class NoiseSigmaForFeature (0.10.0)

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
NameDescription
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
TypeDescription
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
NameDescription
var string
Returns
TypeDescription
$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
TypeDescription
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
NameDescription
var float
Returns
TypeDescription
$this