class_docstr: A class to normalize data.
class_docstr_tok: ["A","class","to","normalize","data","."]
code: def __init__(self, config, file_name):
      self._work_dir = os.path.join(config["train_root_dir"], "assets")
      self._margin = config["normalizer_margin"]
      self._path = os.path.join(self._work_dir, file_name)
      self._done_path = os.path.join(
          self._work_dir, "DONE_" + file_name
      )
      self._num_examples = config["normalizer_num_examples"]
  
imports: import io
  import os
  from absl import logging
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new DataNormalizer object from inherited base classes: object with example: obj = DataNormalizer(config, file_name)