class_docstr: Suggested backoff chain; includes at least on of each
  type of major sequential backoff class from backoff.py.
code: def __init__(
      self,
      train: List[list] = None,
      seed: int = 3,
      verbose: bool = False,
  ):
      self.models_path = models_path
  
      missing_models_message = "GreekBackoffLemmatizer requires the ```grc_models_cltk``` to be in cltk_data. Please load this corpus."
  
      try:
          self.train = open_pickle(
              os.path.join(
                  self.models_path, "greek_lemmatized_sents.pickle"
              )
          )
          self.GREEK_OLD_MODEL = open_pickle(
              os.path.join(
                  self.models_path, "greek_lemmata_cltk.pickle"
              )
          )
          self.GREEK_MODEL = open_pickle(
              os.path.join(self.models_path, "greek_model.pickle")
          )
      except FileNotFoundError as err:
          raise type(err)(missing_models_message)
  
      self.greek_sub_patterns = greek_sub_patterns
  
      self.seed = seed
      self.VERBOSE = verbose
  
      def _randomize_data(train: List[list], seed: int):
          import random
  
          random.seed(seed)
          random.shuffle(train)
          train_size = int(0.9 * len(train))
          pos_train_sents = train[:train_size]
          lem_train_sents = [
              [(item[0], item[1]) for item in sent] for sent in train
          ]
          train_sents = lem_train_sents[:train_size]
          test_sents = lem_train_sents[train_size:]
  
          return pos_train_sents, train_sents, test_sents
  
      (
          self.pos_train_sents,
          self.train_sents,
          self.test_sents,
      ) = _randomize_data(self.train, self.seed)
      self._define_lemmatizer()
  
file_path: cltk/src/cltk/lemmatize/grc.py
imports: import os
  from typing import List
  from cltk.lemmatize.backoff import DictLemmatizer, IdentityLemmatizer, RegexpLemmatizer, UnigramLemmatizer
  from cltk.utils import CLTK_DATA_DIR
  from cltk.utils.file_operations import open_pickle
label_desc: Use image node_id 1 to create a new GreekBackoffLemmatizer object  with example: obj = GreekBackoffLemmatizer(train, seed, verbose)