class_docstr: Interface for corpora that are the result of an online (streamed) transformation.
class_docstr_tok: ["Interface","for","corpora","that","are","the","result","of","an","online","(","streamed",")","transformation","."]
docstr: Parameters
  ----------
  obj : object
      A transformation :class:`~gensim.interfaces.TransformationABC` object that will be applied
      to each document from `corpus` during iteration.
  corpus : iterable of list of (int, number)
      Corpus in bag-of-words format.
  chunksize : int, optional
      If provided, a slightly more effective processing will be performed by grouping documents from `corpus`.
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code: def __init__(self, obj, corpus, chunksize=None, **kwargs):
      """
  
      Parameters
      ----------
      obj : object
          A transformation :class:`~gensim.interfaces.TransformationABC` object that will be applied
          to each document from `corpus` during iteration.
      corpus : iterable of list of (int, number)
          Corpus in bag-of-words format.
      chunksize : int, optional
          If provided, a slightly more effective processing will be performed by grouping documents from `corpus`.
  
      """
      self.obj, self.corpus, self.chunksize = obj, corpus, chunksize
      # add the new parameters like per_word_topics to base class object of LdaModel
      for key, value in kwargs.items():
          setattr(self.obj, key, value)
      self.metadata = False
  
imports: import logging
  from gensim import utils, matutils
label_desc: Use image node_id 1 to create a new TransformedCorpus object from inherited base classes: CorpusABC with example: obj = TransformedCorpus(obj, corpus, chunksize)