code: def predict(self):
      return self.tfnet.predict(
          self.dataset.get_prediction_data(), mini_batch=True
      )
  
file_path: BigDL/python/orca/src/bigdl/orca/tfpark/tf_predictor.py
imports: import sys
  from bigdl.dllib.net.utils import find_placeholders, _check_the_same
  from bigdl.orca.tfpark.tfnet import TFNet
  from bigdl.orca.tfpark.tf_dataset import TFNdarrayDataset, check_data_compatible
  from bigdl.orca.tfpark.tf_dataset import _standarize_feature_dataset
  from bigdl.dllib.utils.log4Error import invalidInputError
label_desc: Use image node_id 5 for calling the TFPredictor obj's underlying member method code with example usage: obj.predict() and returns: self