class_docstr: Applies exponential smoothing coefficients to the counts.
code: def __init__(self, corpus_multiplier=1):
      self._corpus_multiplier = corpus_multiplier
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import apache_beam
  import tensorflow.compat.v1
  from tensorflow_text.python.ops.bert_tokenizer import BertTokenizer
  from tensorflow_text.python.ops.wordpiece_tokenizer import WordpieceTokenizer
  from tensorflow_text.tools.wordpiece_vocab import wordpiece_tokenizer_learner_lib
label_desc: Use image node_id 1 to create a new ExponentialSmoothing object from inherited base classes: beam with example: obj = ExponentialSmoothing(corpus_multiplier)