code: def setAdditionalLayersToTrain(self, value):
      return self._set(additional_layers_to_train=value)
  
imports: import sys
  import torchvision.transforms
  from horovod.spark.common.backend import SparkBackend
  from horovod.spark.lightning import TorchEstimator
  from PIL import Image
  from pyspark.context import SparkContext
  from pyspark.ml.param.shared import Param, Params
  from pytorch_lightning.utilities import _module_available
  from synapse.ml.dl.DeepVisionModel import DeepVisionModel
  from synapse.ml.dl.LitDeepVisionModel import LitDeepVisionModel
  from synapse.ml.dl.utils import keywords_catch, get_or_create_backend
  from synapse.ml.dl.PredictionParams import VisionPredictionParams
label_desc: Use image node_id 4 for calling the DeepVisionClassifier obj's underlying member method code with example usage: obj.setAdditionalLayersToTrain(value) and returns: self