public Builder mergeFrom(com.google.cloud.vertexai.api.FeatureNoiseSigma other) {
      if (other == com.google.cloud.vertexai.api.FeatureNoiseSigma.getDefaultInstance())
        return this;
      if (noiseSigmaBuilder_ == null) {
        if (!other.noiseSigma_.isEmpty()) {
          if (noiseSigma_.isEmpty()) {
            noiseSigma_ = other.noiseSigma_;
            bitField0_ = (bitField0_ & ~0x00000001);
          } else {
            ensureNoiseSigmaIsMutable();
            noiseSigma_.addAll(other.noiseSigma_);
          }
          onChanged();
        }
      } else {
        if (!other.noiseSigma_.isEmpty()) {
          if (noiseSigmaBuilder_.isEmpty()) {
            noiseSigmaBuilder_.dispose();
            noiseSigmaBuilder_ = null;
            noiseSigma_ = other.noiseSigma_;
            bitField0_ = (bitField0_ & ~0x00000001);
            noiseSigmaBuilder_ =
                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
                    ? getNoiseSigmaFieldBuilder()
                    : null;
          } else {
            noiseSigmaBuilder_.addAllMessages(other.noiseSigma_);
          }
        }
      }
      this.mergeUnknownFields(other.getUnknownFields());
      onChanged();
      return this;
    }
<pre>
Noise sigma by features. Noise sigma represents the standard deviation of the
gaussian kernel that will be used to add noise to interpolated inputs prior
to computing gradients.
</pre>

Protobuf type {@code google.cloud.vertexai.v1.FeatureNoiseSigma}
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/FeatureNoiseSigma.java