docstr: Abbreviated name reflecting major configuration parameters.
  
  Returns
  -------
  str
      Human readable representation of the models internal state.
code: def __str__(self):
      """Abbreviated name reflecting major configuration parameters.
  
      Returns
      -------
      str
          Human readable representation of the models internal state.
  
      """
      segments = []
      if self.comment:
          segments.append('"%s"' % self.comment)
      if self.sg:
          if self.dbow_words:
              segments.append("dbow+w")  # also training words
          else:
              segments.append("dbow")  # PV-DBOW (skip-gram-style)
  
      else:  # PV-DM...
          if self.dm_concat:
              segments.append(
                  "dm/c"
              )  # ...with concatenative context layer
          else:
              if self.cbow_mean:
                  segments.append("dm/m")
              else:
                  segments.append("dm/s")
      segments.append("d%d" % self.dv.vector_size)  # dimensions
      if self.negative:
          segments.append("n%d" % self.negative)  # negative samples
      if self.hs:
          segments.append("hs")
      if not self.sg or (self.sg and self.dbow_words):
          segments.append(
              "w%d" % self.window
          )  # window size, when relevant
      if self.min_count > 1:
          segments.append("mc%d" % self.min_count)
      if self.sample > 0:
          segments.append("s%g" % self.sample)
      if self.workers > 1:
          segments.append("t%d" % self.workers)
      return "%s<%s>" % (self.__class__.__name__, ",".join(segments))
  
imports: import logging
  import os
  from collections import namedtuple, defaultdict
  from collections.abc import Iterable
  from timeit import default_timer
  from dataclasses import dataclass
  from numpy import zeros, float32, vstack, integer, dtype
  import numpy
  from gensim import utils, matutils
  from gensim.utils import deprecated
  from gensim.models import Word2Vec, FAST_VERSION
  from gensim.models.keyedvectors import KeyedVectors, pseudorandom_weak_vector
label_desc: Use image node_id 17 for calling the Doc2Vec obj's underlying member method code with example usage: obj.__str__() and returns: unknown