class_docstr: Model for `Latent Semantic Indexing
  <https://en.wikipedia.org/wiki/Latent_semantic_analysis#Latent_semantic_indexing>`_.
  
  The decomposition algorithm is described in `"Fast and Faster: A Comparison of Two Streamed
  Matrix Decomposition Algorithms" <https://arxiv.org/pdf/1102.5597.pdf>`_.
  
  Notes
  -----
  * :attr:`gensim.models.lsimodel.LsiModel.projection.u` - left singular vectors,
  * :attr:`gensim.models.lsimodel.LsiModel.projection.s` - singular values,
  * ``model[training_corpus]`` - right singular vectors (can be reconstructed if needed).
  
  See Also
  --------
  `FAQ about LSI matrices
  <https://github.com/RaRe-Technologies/gensim/wiki/Recipes-&-FAQ#q4-how-do-you-output-the-u-s-vt-matrices-of-lsi>`_.
  
  Examples
  --------
  .. sourcecode:: pycon
  
      >>> from gensim.test.utils import common_corpus, common_dictionary, get_tmpfile
      >>> from gensim.models import LsiModel
      >>>
      >>> model = LsiModel(common_corpus[:3], id2word=common_dictionary)  # train model
      >>> vector = model[common_corpus[4]]  # apply model to BoW document
      >>> model.add_documents(common_corpus[4:])  # update model with new documents
      >>> tmp_fname = get_tmpfile("lsi.model")
      >>> model.save(tmp_fname)  # save model
      >>> loaded_model = LsiModel.load(tmp_fname)  # load model
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docstr: Get a human readable representation of model.
  
  Returns
  -------
  str
      A human readable string of the current objects parameters.
docstr_tok: ["Get","a","human","readable","representation","of","model",".","Returns","--","--","--","-","str","A","human","readable","string","of","the","current","objects","parameters","."]
code: def __str__(self):
      """Get a human readable representation of model.
  
      Returns
      -------
      str
          A human readable string of the current objects parameters.
  
      """
      return (
          "%s<num_terms=%s, num_topics=%s, decay=%s, chunksize=%s>"
          % (
              self.__class__.__name__,
              self.num_terms,
              self.num_topics,
              self.decay,
              self.chunksize,
          )
      )
  
imports: import logging
  import sys
  import time
  import numpy
  import scipy.linalg
  import scipy.sparse
  from scipy.sparse import sparsetools
  from gensim import interfaces, matutils, utils
  from gensim.models import basemodel
  from gensim.utils import is_empty
label_desc: Use image node_id 3 for calling the LsiModel obj's underlying member method code with example usage: obj.__str__() and returns: unknown