@java.lang.Override
    public boolean equals(final java.lang.Object obj) {
      if (obj == this) {
        return true;
      }
      if (!(obj instanceof com.google.cloud.vertexai.api.FeatureNoiseSigma.NoiseSigmaForFeature)) {
        return super.equals(obj);
      }
      com.google.cloud.vertexai.api.FeatureNoiseSigma.NoiseSigmaForFeature other =
          (com.google.cloud.vertexai.api.FeatureNoiseSigma.NoiseSigmaForFeature) obj;

      if (!getName().equals(other.getName())) return false;
      if (java.lang.Float.floatToIntBits(getSigma())
          != java.lang.Float.floatToIntBits(other.getSigma())) return false;
      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
      return true;
    }
<pre>
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][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
but represents the noise added to the current feature. Defaults to 0.1.
</pre>

<code>float sigma = 2;</code>

@return The sigma.
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/FeatureNoiseSigma.java