docstr: Predict input data.
  
  :param data: data to be predicted.
  :param batch_size: batch size per thread. Default: 4.
  :return: predicted result.
docstr_tok: ["Predict","input","data",".",":","param","data",":","data","to","be","predicted",".",":","param","batch_size",":","batch","size","per","thread",".","Default",":","4.",":","return",":","predicted","result","."]
code: def predict(self, data, batch_size):
      """
      Predict input data.
  
      :param data: data to be predicted.
      :param batch_size: batch size per thread. Default: 4.
      :return: predicted result.
      """
      pass
  
file_path: BigDL/python/orca/src/bigdl/orca/learn/ray_estimator.py
imports: from abc import abstractmethod
  from bigdl.orca.learn.base_estimator import BaseEstimator
label_desc: Use image node_id 2 for calling the Estimator obj's underlying member method code with example usage: obj.predict(data, batch_size) without return types