public Builder clearFeatureNoiseSigma() {
      if (featureNoiseSigmaBuilder_ == null) {
        if (gradientNoiseSigmaCase_ == 2) {
          gradientNoiseSigmaCase_ = 0;
          gradientNoiseSigma_ = null;
          onChanged();
        }
      } else {
        if (gradientNoiseSigmaCase_ == 2) {
          gradientNoiseSigmaCase_ = 0;
          gradientNoiseSigma_ = null;
        }
        featureNoiseSigmaBuilder_.clear();
      }
      return this;
    }
<pre>
This is similar to
[noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma],
but provides additional flexibility. A separate noise sigma can be
provided for each feature, which is useful if their distributions are
different. No noise is added to features that are not set. If this field
is unset,
[noise_sigma][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma]
will be used for all features.
</pre>

<code>.google.cloud.vertexai.v1.FeatureNoiseSigma feature_noise_sigma = 2;</code>
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/SmoothGradConfig.java