Class NoiseSigmaForFeature (1.156.0)

1.156.0 (latest) 1.155.0 1.154.0 1.153.1 1.152.0 1.151.0 1.150.0 1.149.0 1.148.1 1.147.0 1.146.0 1.145.0 1.144.0 1.143.0 1.142.0 1.141.0 1.140.0 1.139.0 1.138.0 1.137.0 1.136.0 1.135.0 1.134.0 1.133.0 1.132.0 1.131.0 1.130.0 1.129.0 1.122.0 1.121.0 1.120.0 1.119.0 1.118.0 1.117.0 1.116.0 1.115.0 1.114.0 1.113.0 1.112.0 1.111.0 1.110.0 1.109.0 1.108.0 1.107.0 1.106.0 1.105.0 1.104.0 1.103.0 1.102.0 1.101.0 1.100.0 1.99.0 1.98.0 1.97.0 1.96.0 1.95.1 1.94.0 1.93.1 1.92.0 1.91.0 1.90.0 1.89.0 1.88.0 1.87.0 1.86.0 1.85.0 1.84.0 1.83.0 1.82.0 1.81.0 1.80.0 1.79.0 1.78.0 1.77.0 1.76.0 1.75.0 1.74.0 1.73.0 1.72.0 1.71.1 1.70.0 1.69.0 1.68.0 1.67.1 1.66.0 1.65.0 1.63.0 1.62.0 1.60.0 1.59.0 1.58.0 1.57.0 1.56.0 1.55.0 1.54.1 1.53.0 1.52.0 1.51.0 1.50.0 1.49.0 1.48.0 1.47.0 1.46.0 1.45.0 1.44.0 1.43.0 1.39.0 1.38.1 1.37.0 1.36.4 1.35.0 1.34.0 1.33.1 1.32.0 1.31.1 1.30.1 1.29.0 1.28.1 1.27.1 1.26.1 1.25.0 1.24.1 1.23.0 1.22.1 1.21.0 1.20.0 1.19.1 1.18.3 1.17.1 1.16.1 1.15.1 1.14.0 1.13.1 1.12.1 1.11.0 1.10.0 1.9.0 1.8.1 1.7.1 1.6.2 1.5.0 1.4.3 1.3.0 1.2.0 1.1.1 1.0.1 0.9.0 0.8.0 0.7.1 0.6.0 0.5.1 0.4.0 0.3.1

NoiseSigmaForFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Noise sigma for a single feature.

Attributes
Name	Description
name	str The name of the input feature for which noise sigma is provided. The features are defined in [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.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.

Methods

NoiseSigmaForFeature

NoiseSigmaForFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Noise sigma for a single feature.