@java.lang.Override
    public int getSerializedSize() {
      int size = memoizedSize;
      if (size != -1) return size;

      size = 0;
      if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(name_)) {
        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, name_);
      }
      if (java.lang.Float.floatToRawIntBits(sigma_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, sigma_);
      }
      size += getUnknownFields().getSerializedSize();
      memoizedSize = size;
      return size;
    }
<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